Recent research from Reuters indicates that approximately 50% of the online population in Argentina, Denmark, France, Japan, the UK, and the USA have heard of ChatGPT, making it the most widely recognized generative AI product. It is also the most commonly used generative AI tool across these countries. However, regular engagement remains low—only 1% of people in Japan use it daily, increasing slightly to 2% in France and the UK, and 7% in the USA (Fletcher, 2024). Despite AI’s vast potential, it struggles to become an integral part of daily routines. Is this because users don’t fully understand how to harness its capabilities? Or because they aren’t getting the results they expect? Whatever the reason, one thing is clear: people are not leveraging AI to learn how to use AI effectively. For business executives, CEOs, and executive coaches, understanding AI’s role as a teacher in the art of prompting is essential to getting desired results. The key isn’t just using AI—it’s learning how to work with it iteratively to refine outcomes and then evaluating how well prompts were crafted to improve future interactions. Two Aspects of Working with AI Effectively Iterating with AI AI can be a powerful partner in completing tasks and drafting strategies if used iteratively. Instead of a linear process where AI generates content and the user simply accepts the output, effective users treat AI as a collaborative thought partner. Improvement happens in real-time through iteration, refining responses with follow-up questions and additional details. A CEO looking to develop a blue ocean innovation plan, for example, must go beyond a single prompt and instead engage AI in an iterative process—one that builds upon its understanding of the company, its market, and its competitors. Consider the structured approach to leveraging AI for strategic planning: Create a Company Wiki: Provide AI with key company details such as size, target customers, revenue goals, competitors, and strategic objectives. Share your URL and ask AI to review your company’s history, mission, vision, values, products, services, and customer testimonials. Request that it generate a concise internal Wiki that explains your business to someone unfamiliar with it. Conduct a SWOT Analysis: Ask AI to identify key competitors and their offerings. Follow this by requesting a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis to compare your company’s standing against competitors and highlight areas for strategic focus. Analyze Market Competition Using Porter’s Five Forces: With the competitor insights gathered, move towards conducting a Porter’s Five Forces analysis. Use the same competitors identified in the SWOT analysis to evaluate industry competition, supplier power, customer influence, threat of new entrants, and potential substitutes. This will serve as a foundation for your blue ocean strategy. Visualize Competitive Positioning: Once the Porter’s Five Forces analysis is complete, ask AI to create a Radar Chart comparing key industry players across different areas of competition. This visual representation allows executives to quickly assess where their company stands in relation to competitors. Source: Severin Sorensen's ChatGPT Instance Develop a Blue Ocean Strategy Framework: Guide AI toward innovation by leveraging the Blue Ocean Strategy model. Request an analysis of competitors alongside ten critical market variables that define industry success. Have AI identify areas where untapped opportunities (blue oceans) exist. Then, ask it to rank competitors on a scale of 1 to 10 (with 10 being industry-leading and 1 indicating weak presence). Finally, request a Blue Ocean Strategy Canvas with each company represented in a unique color to easily visualize strategic gaps. Source: Severin Sorensen's ChatGPT Instance Create a Strategic Roadmap for Innovation: Finally, instruct AI to take on the role of a top-tier management consultant, such as one from a Big Five consulting firm. Ask it to generate a comprehensive strategic roadmap for identifying and executing blue ocean innovations. Specify that the roadmap should include timelines, key milestones, required resources, and actionable steps. Reinforce that it should aim for top-tier strategic thinking, and you’ll be surprised at the depth of insights AI can generate. Iteration drives competitive advantage. Instead of seeking one-time answers, leveraging AI through a structured, multi-step process—starting with foundational insights and refining through competitive analysis, visualization, and innovation frameworks—enables deeper, more actionable strategies. This iterative approach uncovers market differentiation opportunities and ensures a clear execution roadmap, positioning businesses for sustained growth and leadership in their industry. For more examples of using AI iteratively for business, consider purchasing Severin Sorensen’s The AI Whisperer Frameworks book, which explores structured AI-driven strategies for business innovation, competitive analysis, and market differentiation. Leveraging AI to Evaluate and Improve Your Prompting Skills Once the task or strategy is completed, an often-overlooked aspect of AI interaction is leveraging the technology to understand how you can improve prompting for future use. By asking AI to rate the effectiveness of the prompts used throughout the session, users can gain insight into how to improve their prompt-crafting skills over time. A real-world example of this approach comes from Severin Sorensen, Host and Curator of AreteCoach.io. After completing the Blue Ocean Strategy Framework outlined above, he leveraged AI to benchmark his strategy and identify areas for further improvement. The self-assessment, shown in the screenshots below, highlights how refining prompts and iterating with AI enhances the quality of responses. This iterative process mirrors how employees perform best with the right context and ongoing collaboration, reinforcing AI’s ability to deliver more precise and effective insights. Below are excerpts from AI’s review of Severin’s request, demonstrating how structured engagement leads to better outcomes. Practical Steps to Becoming an AI-Powered Thinker To implement the principles outlined above, here are practical steps for leaders and coaches: Engage in Iteration: Start with an initial prompt, but don’t stop there. Ask AI how the prompt could be improved for a more desirable outcome. Provide feedback on responses and continue refining. Use AI as a Thought Partner: Instead of treating AI as a one-and-done tool, engage in a conversation. Apply AI’s Suggestions: Treat AI’s guidance as you would an expert mentor’s advice—an opportunity to refine your own thought process. Seek Feedback on Prompting Skills: After completing a thread, ask AI to evaluate your prompting skills compared to others and provide suggestions on prompt-crafting for better results. Incorporate AI into Decision-Making Processes: Instead of using AI as a brainstorming tool, integrate it into structured workflows for planning, strategy, and execution. AI Unlocks Your Own Potential The future of executive decision-making, leadership communication, and strategic planning isn’t just about having access to AI—it’s about knowing how to engage with it effectively. The secret to mastering AI isn’t complex; it’s a simple mindset shift: to get better, work iteratively and ask for feedback. AI is more than a tool; it’s a dynamic teacher ready to refine and sharpen your thinking at every step. The more you lean into this partnership, the more you’ll unlock the true power of AI in business leadership. References Fabio, R. A., Plebe, A., & Suriano, R. (2024). AI-based chatbot interactions and critical thinking skills: an exploratory study. Current Psychology. https://doi.org/10.1007/s12144-024-06795-8 Fletcher, R., & Nielsen, R. K. (2024, May 28). What does the public in six countries think of generative AI in news? | Reuters Institute for the Study of Journalism. Reuters Institute. https://reutersinstitute.politics.ox.ac.uk/what-does-public-six-countries-think-generative-ai-news Copyright © 2025 by Arete Coach LLC. All rights reserved.

The rise of artificial intelligence (AI) is no longer a speculative discussion; it’s a tangible force shaping industries and redefining business strategies. New empirical research from Anthropic  reveals that AI is already influencing a significant portion of the economy, particularly in high-skill, knowledge-intensive tasks. For executive coaches, CEOs, and business leaders, the question isn’t whether AI will impact their organizations, but how to harness its potential to drive competitive advantage. This article explores high-level takeaways gathered from new research published by Anthropic, known as the Anthropic Economic Index , which analyzes AI’s impact on labor markets using millions of anonymized conversations from Claude.ai . The Index’s inaugural report offers unprecedented insights into how AI is integrating into real-world tasks across the modern economy. AI’s Role in the Economy A large-scale analysis of AI interactions underscores the shifting economic landscape: Software development and content creation dominate AI use:  Nearly 50% of AI interactions occur in these domains, signaling that automation and augmentation are reshaping knowledge work. AI usage in programming-related tasks accounts for 37.2% of interactions, demonstrating its deep integration into software development. Widespread adoption across industries:  AI touches approximately 36% of occupations, integrating into at least a quarter of their tasks. While its presence in high-wage sectors is significant, AI penetration remains low in roles requiring physical manipulation, such as construction and healthcare. AI as an augmentative tool:  57% of AI interactions show augmentation—enhancing human capabilities rather than replacing them—whereas 43% indicate automation, signaling a gradual but impactful transformation of job roles. Source: Handa et al., 2024 High adoption in mid-to-high wage jobs:  AI adoption is most prevalent among mid-to-high wage professions, particularly in fields like software development and programming. However, at both the highest and lowest ends of the wage scale, AI usage is significantly lower. This suggests that AI is currently more integrated into roles requiring specialized knowledge but not necessarily those with the highest salaries (such as medical professionals) or the lowest-paying jobs (which often involve manual labor). The trend aligns with data on U.S. median wages, indicating that AI is being adopted where it can most effectively augment cognitive, analytical, and technical tasks. Source: Handa et al., 2024 Barriers to AI adoption vary:  AI usage is highest in job zones that require considerable preparation (bachelor’s degrees and specialized skills) but is low in fields requiring either minimal or extensive preparation, likely due to AI’s current limitations in handling physical tasks and highly specialized decision-making roles. What This Means for Business Leaders AI is a tool, not a threat. However, its impact depends on how leaders position their organizations. Here are four takeaways for executives: Build an AI-Ready Workforce Companies that invest in AI literacy—training employees to collaborate with AI—will have a significant competitive advantage. With AI deeply embedded in tasks requiring critical thinking and analytical reasoning, fostering a culture of continuous learning and re-skilling employees for AI-enhanced roles will be critical in the years ahead. Research indicates that AI-exposed workers can cut task completion times in half, highlighting the efficiency gains of AI adoption when properly integrated. Elevate Human Potential Through AI Augmentation Rather than viewing AI as a replacement for human workers, leading organizations are leveraging it to augment employee capabilities. AI-driven analytics, decision-support tools, and automation of administrative tasks free up leaders to focus on high-value activities such as innovation, strategy, and team development. The study found that AI is most commonly used in iterative collaboration rather than direct automation, reinforcing its role as a knowledge enhancer rather than a job eliminator. Managing the Workforce Shift and Change Resistance While AI adoption is expanding, the study reveals that many occupations still engage AI in less than 25% of their tasks. This signals that organizations are in a transitional phase, where AI is augmenting work rather than replacing it. Leaders should navigate employee resistance to AI, focusing on retraining, upskilling, and shifting mindsets from job loss fears to opportunities for AI collaboration. Ethical Considerations and AI Governance As AI adoption increases, ethical concerns around bias, data privacy, and decision transparency become more pressing. The study indicates that AI is most used in decision-support rather than full automation, meaning that leaders are still accountable for final decisions. Organizations need clear AI governance policies to ensure responsible AI use, particularly in hiring, promotions, and customer interactions. Considerations for AI Adoption Before embracing AI, leaders must critically evaluate its role in their organization. Here are some key questions to consider: What problem are we trying to solve with AI?  Is AI a necessity, or are there alternative solutions? How will AI complement our existing workforce?  Are we looking for automation, augmentation, or a combination of both? What are the risks?  Consider data privacy, ethical concerns, and potential job displacement. Do we have the infrastructure and talent to support AI?  Implementation requires technical expertise and strategic alignment. How will we measure success?  Define clear KPIs to assess AI’s impact on productivity and business outcomes. AI as a Competitive Differentiator CEOs and executive coaches must reframe AI as a strategic enabler rather than a disruptor. The organizations that thrive will be those that embrace AI’s potential while maintaining a human-centered approach to leadership. AI isn’t replacing executive judgment—it’s amplifying it. Given that AI usage patterns reveal a preference for augmenting tasks rather than fully automating them, leaders must leverage AI to enhance productivity, not replace their workforce. The question for leaders is: How will you integrate AI to future-proof your business and elevate your leadership impact? References Handa, K., Tamkin, A., Mccain, M., Huang, S., Durmus, E., Heck, S., Mueller, J., Hong, J., Ritchie, S., Belonax, T., Troy, K., Amodei, D., Kaplan, J., Clark, J., & Anthropic, G. (n.d.). Which Economic Tasks are Performed with AI? Evidence from Millions of Claude Conversations. https://assets.anthropic.com/m/2e23255f1e84ca97/original/Economic_Tasks_AI_Paper.pdf Copyright © 2025 by Arete Coach LLC. All rights reserved.

This week, a song was released: One in Us . Not just any song, but a movement in melody—a call to unity, to service, to courage. One in Us was born from reflection, inspired by Chip Webster's book, Unity in Service: The Pathway to Responsible Citizenship (available on Amazon) . His words spoke of trust, breaking down barriers, standing together to mend what is fraying in our nation and world. I invited Chip to co-author this song with me, honoring his message through music. But movements do not live in books, or songs, or speeches alone. They live in people. They live in you. Listen to the song here: The Cost of Inaction The great thinkers and leaders of history have warned us—freedom, democracy, and justice do not sustain themselves. They must be actively protected, renewed, and strengthened by those willing to stand up and lead in their goodness. Burke argued that the triumph of evil requires only that good men do nothing—not in a single definitive quote, but in the essence of his writings. John Stuart Mill made this warning even sharper: "Bad men need nothing more to compass their ends, than that good men should look on and do nothing" (1867). If we stand by, if we let cynicism replace courage, if we choose comfort over conviction, then we do not merely lose ground—we surrender it. John F. Kennedy reminded us that democracy is never a final achievement, but a call to untiring effort. And Ronald Reagan famously observed: "Freedom is never more than one generation away from extinction." He believed deeply that liberty must be claimed, defended, and renewed by every generation—lest it slip away forever. The Call to Lead Through Arete Society works best not when we wait for leaders, but when we become them. Not in title, but in action, in service, in excellence—in the full expression of our Arete. Arete—a Greek word meaning the pursuit of excellence, the fulfillment of one’s highest potential—calls each of us to discover, refine, and share our greatest strengths for the betterment of others. The baker leads through their bread. The poet leads through their words. The builder leads through their bridges. The dreamer leads through their vision. We do not need permission to do good. We do not need validation to stand for what is right. We need only to act. Where Do We Apply This Today? Leading with goodness is not just a lofty ideal—it is a practical necessity. Today, we see challenges in our economy, governance, communities, and culture, where the easy path is to look away, accept mediocrity, or allow dysfunction to persist. But leadership means standing up, stepping up, and showing courage in everyday life. It takes courage for a business leader to cut unnecessary waste, ensuring that an organization runs effectively and serves its people. It takes courage for a citizen to demand accountability from government leaders who let inefficiency and bloat persist. It takes courage for a teacher, a mentor, a parent to instill values of responsibility, integrity, and excellence in the next generation. It takes courage to speak truth, act with integrity, and lead by example, even when it’s unpopular or difficult. The world does not improve through inaction. It improves when good people lead where they stand—in their families, workplaces, and communities. Join the Movement One in Us  is now live on Apple Music and Spotify . Let it be more than just a song you listen to—let it be a song that moves you, that calls you to act, that reminds you that your voice, your service, and your goodness matter. Chip Webster’s book, Unity in Service , lays out a vision for a stronger, more connected world. This music echoes that call. If this resonates with you, share it. Speak about it. More importantly—live it. Because unity isn’t just a dream. It is a fire inside—waiting, unseen—until we bring it to life. Copyright © 2025 by Arete Coach LLC. All rights reserved.

The AI revolution is transforming how we work, with a growing number of powerful large language models (LLMs) emerging, including Google's Gemini, Anthropic's Claude, and Perplexity AI's models. This article focuses specifically on two prominent LLM-powered tools designed for business use: OpenAI's ChatGPT and Microsoft Copilot. As a CEO, executive, or business user, understanding the strengths and weaknesses of these two is crucial for making strategic decisions about AI adoption. This article provides a clear comparison to help you navigate this landscape. Which AI tool will provide the biggest strategic advantage? Among the top contenders, ChatGPT (by OpenAI) with 63.3% of reported GenAI users, and Microsoft Copilot with a captive Microsoft Office and Azure user base, are leading the charge in their own ways, each offering distinct advantages. Whether you’re optimizing productivity within Microsoft 365 or seeking a powerful AI partner for deeper automation, making the right choice is critical for staying competitive. This article breaks down the strengths, limitations, and strategic use cases of ChatGPT vs. Microsoft Copilot to help business leaders make an informed decision. This article was originally published on LinkedIn by Severin Sorensen and has been approved for placement on Arete Coach. Scroll to continue reading or   click here  to read the original article. This article draws insights from business user feedback and analysis by ChatGPT (including Operator and Canvas capabilities), Microsoft Copilot (including insights on "Agents" and recent updates), Google's Gemini, and Grok. The article compares and contrasts ChatGPT and CoPilot, exploring these tools from a CEO and key executive business user perspective, focusing on practical applications and strategic decision-making. The author is not providing technical guidance or endorsements of specific platforms; users are encouraged to conduct their own thorough evaluations based on their individual needs. ChatGPT: Customization & Advanced AI Capabilities ChatGPT stands out as a powerful AI assistant with advanced reasoning, automation, and customization capabilities. Designed for flexible enterprise applications, it goes beyond just answering questions—it can generate content, analyze data, integrate with external systems, and even act as an autonomous agent. Why Businesses Choose ChatGPT: Customization & Extensibility: With features like Custom GPTs, OpenAI Operator, and Canvas, businesses can tailor ChatGPT to their exact needs. Advanced AI Agent Capabilities: Evolving towards true AI automation, capable of executing complex workflows. Broad Use Cases: Ideal for content creation, research, code generation, customer support, and workflow automation. Considerations: Integration Effort: May require developer resources for enterprise-level deployment. Learning Curve: More advanced capabilities require training to fully leverage. Scalability Costs: Usage-based pricing means costs can increase with higher volume. Microsoft Copilot: Seamless Integration for Workplace Productivity Microsoft Copilot is built for instant AI-enhanced productivity within Microsoft 365. If your team already relies on Word, Excel, PowerPoint, and Teams, Copilot provides AI assistance directly in your workflow—no extra setup required. Why Businesses Choose Copilot: Seamless Microsoft 365 Integration: Works immediately within Word, Excel, Teams, and Outlook. Automates Repetitive Tasks: Generates presentations, drafts emails, and simplifies spreadsheet analysis. Lower Initial Cost: Often bundled with Microsoft 365, reducing additional expenses. Considerations: Limited Functionality: Currently less powerful than ChatGPT for advanced use cases. Less Customization: Customization is mostly limited to Microsoft’s ecosystem. Basic AI Agent Capabilities” Copilot’s "Agents" are not yet fully autonomous AI assistants. Key Feature Comparison: ChatGPT vs. Microsoft Copilot Final Score: ChatGPT (4.39) vs. Microsoft Copilot (3.42) Which AI Assistant Is Right for Your Business? Choose ChatGPT if… You need advanced AI capabilities beyond Microsoft 365. Custom automation, integrations, and AI agents are a priority. You're prepared to invest in training and implementation. Choose Microsoft Copilot if… You want instant productivity enhancements within Microsoft 365. Your team relies on Word, Excel, Teams, or PowerPoint for daily tasks. You need a low-effort AI adoption strategy with minimal setup. Consider a Hybrid Approach:  Many organizations use both—leveraging Copilot for everyday tasks and ChatGPT for advanced AI solutions beyond Microsoft’s ecosystem. Final Thoughts: AI as a Competitive Advantage The real question isn’t whether to adopt AI, but how quickly you can integrate it to drive efficiency and innovation. AI-powered businesses will outperform their competitors—and choosing the right tools today will shape your future advantage. Copyright © 2025 by Arete Coach LLC. All rights reserved.

“What If DeepSeek, Unmasked, Is Darth Sith?” That was my question in a recent (@SevSorensen) X post, alongside a surreal image of a whale-headed Sith Lord. Humor aside, there’s a serious concern here: DeepSeek is an incredibly powerful AI model with murky security risks. As an ethical AI evangelist, author of the Amazon-Best Selling "The AI Whisperer" Series, and a student of AI security (with a Certified Protection Professional (CPP) accreditation in physical security), I dove deep into DeepSeek's privacy, security, and operational risks. My conclusion? Proceed with extreme caution. While AI’s future is undeniably exciting, IT leaders, CIOs, and CISOs must examine these tools through the lens of cybersecurity and compliance. I encourage you to reach out to your CISSP and other information security professionals for tailored guidance. This article was originally published on LinkedIn by Severin Sorensen and has been approved for placement on Arete Coach. Scroll to continue reading or click here to read the original article. DeepSeek: The Honeyed AI With a Hidden Cost One of my recent posts called DeepSeek a “honeyed AI at a sweet price,” but warned that it could be a honeypot in disguise. Powerful potential, yes, but with deeply hidden costs. DeepSeek, while impressive, is shrouded in secrecy. Crucial details about its architecture and security protocols are scarce, raising red flags for data protection. When AI models run on external servers, privacy isn’t guaranteed. And when the model itself is subject to foreign cybersecurity laws, your data could be at risk in ways you might not anticipate, similar to the criticisms surrounding TikTok. So, what should IT managers be thinking about before deploying DeepSeek? DeepSeek’s Security Risks (and How to Mitigate Them) I dug into online news articles and even consulted AI models like ChatGPT-4o, Gemini, and Grok2, playing them off each other to glean insights. This culminated in a detailed table summarizing DeepSeek’s top security concerns and mitigation strategies. Here's a glimpse: Key questions IT Managers should ask their security teams: How does DeepSeek fit into our current security and compliance framework? Are there alternative AI solutions with stronger privacy and security controls? What additional security layers should we implement? Does DeepSeek’s data jurisdiction pose risks to our business? Can we self-host an open-source alternative to mitigate risks? The Hidden Risks: What CEOs Must Consider Security Vulnerabilities Independent security audits have revealed DeepSeek’s susceptibility to AI jailbreaks, prompt injections, and malware generation. These weaknesses could expose enterprise systems to cyber threats, putting proprietary data and customer trust at risk. Data Sovereignty & Privacy Even if hosted on U.S. or EU servers, DeepSeek remains a product of foreign AI governance laws. With rising geopolitical tensions and data-sharing concerns, enterprises must evaluate whether their sensitive data could be subject to foreign oversight. Compliance & Regulatory Exposure U.S. companies operate under strict data privacy laws (e.g., GDPR, CCPA, HIPAA). Deploying an AI model without clear data governance safeguards could lead to non-compliance, legal exposure, and reputational damage. Intellectual Property Risks DeepSeek’s open-source model fosters collaboration but raises concerns about proprietary data exposure. Enterprises must assess whether their AI-generated outputs could inadvertently contribute to an adversarial AI ecosystem. Final Thoughts: AI Is Here to Stay, AI Models Will Vary, But Security Is Non-Negotiable With public demand strong, many companies have reported an interest in hosting DeepSeek, and yet the security cautions still apply. Based on the information available, several U.S. companies have been identified as hosting or planning to host DeepSeek models on their servers for public or client use: Microsoft: They've integrated DeepSeek models into their offerings, making it available through platforms like Azure. Amazon Web Services (AWS): AWS clients have requested access to DeepSeek models, indicating AWS is hosting or considering hosting these models through services like Bedrock. Dell Technologies: Dell has announced that DeepSeek AI can now run on-premise with their technologies, in partnership with Hugging Face. Perplexity AI: They have added DeepSeek to their platforms, hosting the model in U.S. and EU data centers. Nvidia: Mentioned as part of the broader context of U.S. companies engaging with DeepSeek, though specifics on hosting are less clear. DeepSeek is a powerful, innovative open-source AI model—but with great power comes great responsibility. If you choose to integrate DeepSeek into your workflow, do so with caution, strong security measures, and clear compliance guidelines. And most importantly, lean on your cybersecurity professionals for guidance tailored to your organization’s needs. Strategic Considerations for CEOs For executives considering DeepSeek or similar AI models, I recommend the following: Due Diligence First: Before adoption, conduct rigorous security audits. Engage cybersecurity and legal experts to evaluate the AI model’s safety, compliance risks, and long-term viability. Strategic Sandbox Deployment: If exploring DeepSeek, limit initial usage to isolated, non-critical environments. Ensure that business-critical data remains untouched. Stay Informed & Adaptable: The AI regulatory landscape is evolving rapidly. CEOs must continuously monitor policy changes, security vulnerabilities, and geopolitical developments affecting AI adoption. Balance Innovation with Ethics & Security: AI should not only be powerful and cost-effective—it must be secure, ethical, and aligned with long-term business strategy. Responsible AI adoption requires transparency, governance, and proactive risk management. Engage in Thought Leadership & Collaboration: AI risk isn’t a company-specific challenge—it’s an industry-wide concern. CEOs should engage with industry leaders, policymakers, and security experts to shape best practices for secure and ethical AI deployment. Copyright © 2025 by Arete Coach LLC. All rights reserved.

This article was created by Severin Sorensen, drawing insights from the U.S. Copyright Office Report on AI and Copyright, analysis by Google Notebook LM (including summary, Q&A, and podcast summary), and ChatGPT-4o analysis of the material. The article explores the issues from a creator's perspective. The author is not providing legal advice; creators are encouraged to consult with their IP attorney for additional questions. The rise of AI-generated content has sparked one of the most pressing legal debates of our time: Who owns AI-created work? The U.S. Copyright Office has now provided a clear answer—only humans can be authors. This decision carries major implications for businesses, creators, and innovators using AI in their work. Whether you’re a writer, artist, entrepreneur, or corporate leader leveraging AI tools, understanding this ruling is critical. What Did the U.S. Copyright Office Decide? The U.S. Copyright Office has reaffirmed that AI-generated material cannot be copyrighted because copyright law protects only human creativity. The term "author," as defined in both the U.S. Constitution and the Copyright Act, refers exclusively to human beings. However, works that contain both AI-generated and human-created content may be eligible for copyright—but only the human contributions will be protected. Key Takeaways from the Ruling AI-Generated Works Are Not Copyrightable: If an AI creates content autonomously—whether it’s text, images, or music—it cannot be copyrighted. The logic is simple: copyright law protects human expression, and AI lacks the ability to be legally recognized as an "author." Hybrid Works (Human + AI) Can Be Copyrighted: If a human meaningfully contributes to AI-generated content—by arranging, modifying, or creatively integrating it—those human-authored portions may be eligible for copyright protection. A Simple Prompt Is Not Enough: Merely inputting a text prompt into an AI tool like ChatGPT or Midjourney does not make the result copyrightable. The Copyright Office considers this a case of "mechanical reproduction" rather than human authorship. How to Protect Your Work If You Use AI The Copyright Office now requires creators to explicitly disclose the use of AI in their copyright applications. Here’s how to ensure your work is properly protected: Identify What You Created: When applying for copyright, specify which parts were created by a human. Do not list the AI as an author. Use the ‘Limitation of the Claim’ Section: In your copyright application, disclose AI-generated portions under the “Material Excluded” field. Clarify your human contribution under “New Material Added.” Update Existing Copyright Applications: If you've already applied for copyright without disclosing AI use, you must file a supplementary registration to correct the record. Failure to disclose AI use could result in cancellation of your copyright registration or legal challenges if discovered in a lawsuit. What This Means for Businesses & Creators This decision significantly impacts companies, marketers, designers, authors, musicians, and legal teams using AI tools. For Writers & Content Creators: If you use AI for brainstorming or drafting, ensure you edit and refine the content significantly—mere AI-generated text won’t qualify for copyright. For Designers & Artists: If AI-generated images are part of your work, focus on adding human creativity—modifying, arranging, or integrating them into a unique composition. For Businesses & Brands: Companies using AI-generated content in branding, marketing, or product development should be mindful of copyright limitations—especially if they plan to commercialize AI-created work. The Future of AI and Copyright Law The U.S. Copyright Office acknowledges that AI is evolving rapidly and has launched an agency-wide initiative to investigate: The use of copyrighted material in AI training datasets The legal and ethical implications of AI-generated content Public comments on AI’s role in creativity and authorship As legal frameworks continue to develop, businesses and creators must stay informed and proactive in understanding the intersection of AI and copyright. Final Thoughts: The Human Touch Matters The Copyright Office’s decision reinforces an essential truth: AI is a powerful tool, but it is not a creator. Creativity, judgment, and authorship remain uniquely human qualities. For businesses and creators using AI, the path forward is clear—AI should augment, not replace, human creativity. The best way to protect your work is to ensure that your own originality, intent, and unique perspective remain at the heart of what you create. For the full Copyright Office guidance, read here: https://www.copyright.gov/ai/ . Copyright © 2025 by Arete Coach LLC. All rights reserved.

This article, authored by executive coaches   Severin Sorensen ★  and   Ben Griffin  emerges from our professional and intellectual interests in the term Arete, and an in-depth exploration of over 67 sources examining the definition, application, and meaning of arete within the business domain. Our goal was to explore arete as a potential lodestar value—a guiding principle to anchor excellence as a cultural norm for organizations. The insights presented here are the result of collaborative research, enhanced by Google Gemini Deep Researcher and a custom-trained GPT model specifically tailored for AI strategy and management consulting. This article was originally published on LinkedIn by Severin Sorensen and has been approved for placement on Arete Coach. Scroll to continue reading or click here to read the original article. Picture this: your organization humming with energy, every employee striving for their best—not because they have to, but because they want to. What if excellence wasn’t a target to hit but a spark waiting to ignite? What if, as a leader, your role wasn’t to demand excellence but to create the conditions for it to emerge naturally, authentically, and powerfully? This isn’t wishful thinking—it’s the essence of an ancient Greek ideal called arete. Pronounced “ar-uh-tay,” arete is the pursuit of excellence in every dimension of life. For the Greeks, it wasn’t about external recognition or perfection—it was about fulfilling one’s potential and living in alignment with one’s highest purpose. Heroes like Achilles sought it in courage, while Odysseus embodied it through resilience and cunning. Even Penelope, often overlooked, demonstrated arete through loyalty and quiet strength. In today’s complex, fast-paced world, arete offers CEOs and executives a timeless framework for redefining leadership and culture. It calls us to lead with purpose, foster intrinsic motivation, and create workplaces where excellence flows naturally from within. Let’s explore how arete can become the lodestar of your leadership and culture—and how it can inspire your team to new heights. The Timeless Principles of Arete: Lessons for Modern Leaders Arete isn’t about pushing harder. It’s about aligning with purpose, values, and potential. When leaders embrace this mindset, they unlock the conditions for sustainable excellence. Here’s how the principles of Arete can transform your leadership: 1. Wisdom: Cultivate Curiosity and Reflection Great leaders know that wisdom doesn’t come from having all the answers—it comes from asking the right questions. Wisdom invites us to pause, reflect, and seek diverse perspectives before making decisions. The Business Case: Leaders who practice self-reflection make better decisions, navigate uncertainty with clarity, and inspire trust in their teams. Research from Harvard Business School shows that reflective leaders are more adaptive and effective during times of change. Exercise: The Wisdom Pause Take five minutes at the start or end of your day to journal:“How am I showing up as a leader today?”“What questions haven’t I asked that could lead to new insights?”“Am I making decisions aligned with my values and long-term vision?” 2. Courage: Create Psychological Safety for Innovation In ancient myths, courage meant facing enemies on the battlefield. For leaders today, courage means creating environments where people feel safe speaking up, taking risks, and challenging the status quo. The Business Case: Psychological safety, as identified by Google’s Project Aristotle, is the number one predictor of high-performing teams. When employees feel safe, innovation thrives, and engagement soars. Exercise: The Courage Roundtable: Host a team discussion in which everyone shares a moment when they took a bold risk or made a mistake that led to growth. Celebrate these moments as learning opportunities and reinforce that courage is valued in your culture. 3. Humanity: Foster Empathy and Connection Penelope’s quiet resilience reminds us that excellence doesn’t have to shout. True arete is seen in the care and empathy we extend to others. The Business Case: Leaders who demonstrate empathy foster stronger relationships, increase employee retention, and build cultures of inclusion. According to a 2021 study by Catalyst, empathetic leaders inspire higher levels of innovation and engagement. Exercise: The Story Circle Invite your team to share stories about when they felt most valued at work. What actions or behaviors made the difference? Use these stories to inform how you can strengthen connections within your organization. 4. Discipline: Balance Vision with Focus and Consistency Discipline isn’t about rigid rules; it’s about staying grounded in your purpose and priorities. Arete teaches us that excellence lies in the “golden mean”—the balance between excess and deficiency. The Business Case: Focused and consistent leaders avoid burnout, inspire confidence, and model sustainable success for their teams. Exercise: The Balance Check Reflect on your leadership practices:Where are you overextending (excess)?Where are you holding back (deficiency)?What adjustments can help you find balance? 5. Transcendence: Inspire Shared Purpose Arete invites us to transcend self-interest and align with something greater. For organizations, this means defining a purpose that inspires every employee to contribute their best. The Business Case: Purpose-driven companies outperform their peers. A 2020 McKinsey study found that employees who find meaning in their work are more engaged, innovative, and committed to their organizations. Exercise: The Purpose Map Collaboratively define your organization’s purpose. Then, invite employees to reflect on how their personal values connect to this shared mission. Share these reflections across the team to create alignment and inspiration. Arete as the Lodestar of Your Culture What would your organization look like if arete became the foundation of your culture? Imagine a workplace where: Teams are intrinsically motivated to achieve excellence. Leaders inspire through alignment, not pressure. Employees see their work as a reflection of their values and purpose. The ancient Greeks understood something timeless: true greatness isn’t forced—it’s drawn from within. When leaders embody arete, they inspire their teams to live fully, lead boldly, and contribute meaningfully. Excellence stops being a metric and becomes a way of being. Your Call to Action: What’s Your Arete Story? As you reflect on this concept, ask yourself: What does excellence look like in my leadership? How can I create a culture where excellence flows naturally from within? What’s one small step I can take today to align my actions with my highest purpose? Arete isn’t just an ancient idea—it’s a challenge, a compass, and a call to greatness. Let it guide your leadership and inspire your team. Copyright © 2025 by Arete Coach LLC. All rights reserved.

As the author of the Amazon Best-Selling The AI Whisperer  series, my days are filled with international speaking engagements and executive coaching, helping business leaders understand and integrate AI to revolutionize their operations. But when night falls, I dive into something far more personal: music. My weekends are spent exploring its emotional and narrative depths, spanning jazz’s intricate rhythms, classical beauty, rock’s raw energy, and the lush harmonies of chorales. These explorations led me to an intriguing question: Can AI be "primed" for creativity, much like an athlete prepares for a game or an artist sketches before painting? This question became the foundation for an unforgettable creative experiment—a collaboration with ChatGPT and Suno AI to create Toccata and Stratocaster,  a musical piece that imagines an extraordinary fusion of past and present. This article was originally published on LinkedIn by Severin Sorensen and has been approved for placement on Arete Coach. Scroll to continue reading or  click here  to read the original article. The Vision: A Cosmic Musical Duel Picture this: In a surreal cosmic landscape where time and imagination collide, Johann Sebastian Bach and Jimi Hendrix engage in a transcendent musical duel. Bach, seated at a gilded harpsichord, weaves intricate Baroque melodies with playful precision, while Hendrix, glowing under swirling psychedelic lights, bends electrifying riffs from his iconic Stratocaster. The stage itself is a fusion of eras—a grand Baroque concert hall melded with the vibrant energy of Woodstock, floating beneath kaleidoscopic auroras that ripple across a star-filled sky. As the music crescendos, Bach’s golden harpsichord notes transform into shimmering galaxies, while Hendrix’s guitar licks erupt into swirling waves of light. Locking eyes in mutual respect, their music merges into a breathtaking harmony, celebrating the boundless, timeless power of sound and artistry. This scene wasn’t just an abstract vision; it was the creative spark that fueled Toccata and Stratocaster. What followed was a playful, iterative jam session with ChatGPT, filled with back-and-forth exchanges that amplified creativity and nuance. The Process: Priming AI for Creative Mastery The resulting music felt masterful, and while Suno AI brought the sounds to life, the real magic lay in the preparation and collaboration with ChatGPT. By crafting evocative prompts and engaging in dynamic conversations, I found a way to “prime” the AI for creative excellence. Here’s my creative process journey map: Crafting a "Music Maestro" Persona: I primed ChatGPT by creating a custom persona—"Music Maestro"—infused with extensive knowledge of music history, theory, and diverse genres. A persona that was a master musician, music history maven, musical artist, and composer. This ensured that the AI’s responses reflected a deep understanding of the art form. Setting a High Bar: Drawing on the legacies of musical giants like Bach, Beethoven, Mozart, and Hendrix, I framed each prompt to inspire the AI to strive for artistic excellence. Referencing the timelessness of their work elevated every suggestion and ensured the final output resonated with emotional and technical depth. Using Frameworks as Guides: Musical structures—genres, motifs, and lyrical techniques—served as frameworks for the collaboration. These provided clarity and direction while leaving room for innovation and improvisation. Research on musical direction and craft, particularly guiding the guitar actions, improved the dialog and precision in instruction. Sparking Imagination: Creativity requires a spark. By presenting vivid, open-ended prompts and engaging in playful banter, I encouraged the AI to explore unconventional ideas and push boundaries. I began with the concept of a duel—drawing inspiration from the iconic interplay of Dueling Banjos, a celebrated piece of musical dialogue that captures the spirit of competition and collaboration. However, I wanted to take this idea in a different direction: a duel steeped in emotional storytelling, like the anticipation of a morning duel from an ancient tale. This duel would rise with tension and energy, evoke the expectation of resolution, and end with a sudden, dramatic conclusion. For example, I asked the AI to imagine “a cosmic duel between Bach and Hendrix,” blending Baroque precision with psychedelic fire. This single prompt unlocked a cascade of imaginative responses, envisioning shimmering galaxies of sound and swirling auroras accompanying their music. By reimagining the duel through this emotionally charged and otherworldly lens, the AI was inspired to craft something innovative, resonant, and uniquely collaborative. Iterating Through Collaboration: The process felt like a jam session with friends. I provided the original direction and prompt directives. Then, ChatGPT considered these, refined the direction through dialogue, and added layers of nuance and depth until the vision crystallized. Each exchange brought us closer to a piece that felt technically impressive and emotionally resonant. The Science Behind Creativity Research shows that stress negatively impacts creativity in humans, and the situation is similar for AI. Overloading AI with conflicting prompts or unclear goals can produce inferior results, while positive stimuli—like playful interactions and imaginative scenarios—can unlock its potential. This process mirrors human cognition. By creating a “relaxed," playful, and imaginative environment for ChatGPT, I found it more willing to explore bold ideas and generate novel outputs. Asking questions that invoked vivid imagery or emotional resonance seemed to open doors to creativity that straightforward commands might not. The Result: A Collaborative Symphony The final creation, Toccata and Stratocaster, was a breathtaking blend of Baroque complexity and psychedelic rock. Its intricate counterpoints and electrifying riffs transcended time. But the journey was just as rewarding as the result. This experiment reinforced an important lesson: AI isn’t just a tool—it’s a collaborator. By embracing a symbiotic relationship, where human imagination sparks AI innovation, we can unlock levels of creativity that neither could achieve alone. With AI music lovers with journal entries will be able to express their thoughts with musical meaning that delights. More importantly, musical artists with their background of their craft, will be music maestros using their inspiration to higher levels with AI-augmented inspirations. Watch out; music that is alread good, is about to get much more personal, riveting, appealing, emotive, and inspirational. We are all likely to listen more. How to Prime AI for Creative Collaboration If you’re a creator, musician, or innovator, here’s how you can prime AI to unlock its full creative potential: Define the Role: Craft an AI persona tailored to your creative domain, ensuring it has the knowledge and context to respond meaningfully. Set the Bar High: Reference great works or artists to inspire excellence and challenge the AI to produce its best. Provide Clear Frameworks: Use structures like genres, motifs, or narrative arcs to guide the AI while leaving room for improvisation. Spark Imagination: Use vivid, playful prompts to inspire unconventional ideas and create a “relaxed” creative environment. Iterate and Refine: Treat the AI as a collaborator, refining and building on its responses to achieve the desired result. An Invitation to Explore This journey has pushed the boundaries of what I thought was possible with human-AI collaboration in music. It’s a testament to the power of AI not just to mimic human creativity but to amplify it. I invite you to listen to Toccata and Stratocaster and experience this fusion of past and present for yourself on Apple Music, Spotify, and YouTube; here's the link for YouTube:   Listen Here . Let’s continue exploring the exciting possibilities of AI in music and beyond. Have you collaborated with AI in your creative process? What lessons have you learned? Share your experiences—I’d love to hear how we can push the boundaries of creativity together. 🎶✨ And for the naysayers, yes, this music is music to my ears. Music is more than notes on a page or lyrics in a song—it is emotion distilled into sound, a universal language that transcends words. Rooted in the Greek word mousikē, meaning "the art of the Muses," music is the alchemy of arranging vocal and instrumental sounds to create harmony, beauty, and profound emotional expression. What resonates as music to one person might strike a different chord in another, yet its power to move us remains universal. From Taylor Swift's heartfelt storytelling ballads to Beyoncé's electrifying anthems of empowerment; from Mozart's intricate symphonies to Bob Marley’s soulful reggae grooves; and from Beethoven's stirring sonatas to the countless other styles that define eras and cultures, music is united by one truth: it makes us feel. Whether it evokes inspiration, love, heartache, triumph, or sorrow, the best music doesn’t just fill the air—it resonates within you, stirring your soul. Each artist, in their own way, channels a unique voice and raw emotion to forge a profound connection with their audience. It’s in the tingling of a feeling you can’t quite name, the goosebumps rising on your skin, the lump in your throat, or the tear that escapes your eye. As for Toccata and Stratocaster, it's electric, masterful, hypnotic, and addictive—I get such joy out of listening to it, over and over! Copyright © 2025 by Arete Coach LLC. All rights reserved.

AI isn’t just a ripple in the business landscape, it’s a tsunami of innovation transforming how we work, compete, and grow. From small businesses to large enterprises, companies that learn to harness the power of AI will capture the gale-force winds of opportunity. This article was originally published on LinkedIn by Severin Sorensen and has been approved for placement on Arete Coach. Scroll to continue reading or click here  to read the original article. Why Ride the AI Wave? AI has never been more accessible:  User-friendly tools and cloud computing make implementation easier.  The data explosion fuels smarter AI insights and automation.  Competitive pressure means AI is no longer optional, it’s a necessity. Who’s Catching the Wind? Small Businesses A Census Bureau analysis revealed a significant trend: very small companies, those with only one to four employees, are experiencing the second-highest increase in AI usage (Bureau, 2024). A recent study by the U.S. Chamber of Commerce found that nearly every small business (98%) utilizes a tool enabled by AI. From simple apps like ChatGPT, Claude, Gemini, and CoPilot, small business operators are grasping AI and using it for many tasks. And some speedy early adopters are already using AI-powered tools for accounting, customer management, and marketing (Staff, 2024). For small businesses, the adoption of generative AI tools like chatbots has nearly doubled (40%) since last year (Staff, 2024). What this means: For small businesses, this surge in AI adoption is driven by the desire to optimize operations, enhance customer experiences, and drive growth.  While it's still early to definitively identify disruptive market gains for small businesses driven by AI, the technology's potential to level the playing field and empower smaller companies to compete with larger enterprises is evident. Mid-Sized Companies 75% of mid-sized companies leverage AI, but only 25% have fully adopted it (Wolters, 2024). Research from Oxford Economics suggests that more than half of midsize companies plan to adopt AI technologies in the next 12 months, while approximately 25% have already implemented AI solutions (Shreena, 2024). What this means: Challenges like expertise, training, and infrastructure create a sense of urgency to catch up. While executives often express greater trust in AI and its ability to enhance creativity, entry-level marketers may have less access to AI training and perceive less value in AI tools. This highlights the need for broader AI literacy and training within organizations to ensure successful AI adoption. By embracing AI and collaborating with technology partners, medium-sized companies can gain access to sophisticated tools and technologies that were previously out of reach, enabling them to compete more effectively and achieve operational excellence. While disruptive market gains driven by AI are still emerging for medium-sized companies, the technology's potential to level the playing field and empower them to compete with larger enterprises is evident. Large Enterprises AI is driving innovation across departments: 75% use AI in IT, 64% in marketing, and 59% in customer service (New Accenture Research Finds that Companies with AI-Led Processes Outperform Peers, 2024). What this means: Large companies, with their vast resources and data, are at the forefront of AI adoption. They invest heavily in AI technologies to drive innovation, optimize operations, and gain a competitive edge. These companies leverage AI across various functions, from customer service and marketing to research and development. These companies are not just innovating – they’re creating new markets. Large companies are leveraging AI to create disruptive market gains by: Creating New Markets: AI enables the creation of entirely new markets, such as those for personalized medicine and autonomous vehicles. Transforming Existing Markets: AI is transforming existing markets by enabling companies to offer new products and services, improve customer experiences, and optimize operations in unprecedented ways. AI Tailwinds: Accelerating Adoption and Success Several key drivers fuel the rapid adoption of AI across businesses of all sizes: Proliferation of AI Tools:  User-friendly platforms and solutions are making it easier than ever for companies to integrate AI into their operations, regardless of size or technical expertise. Cloud Computing Advancements: Affordable and scalable cloud infrastructure provides the computing power necessary to support AI initiatives, eliminating traditional cost and resource barriers. The Data Boom: An explosion of data serves as the foundation for AI, enabling algorithms to deliver more accurate insights, automate complex tasks, and drive innovation. Rising Competitive Pressure:  In today’s fast-paced business environment, adopting AI is no longer optional – it’s a strategic imperative for staying competitive and relevant. These tailwinds are not just enabling AI adoption but also setting the stage for transformative business success. Navigating the Currents Riding the AI wave comes with challenges: Data management and integration hurdles. Talent shortages and training gaps. Ethical considerations in AI deployment. But those who navigate these currents effectively can expect: Boosted Efficiency:  Automate tasks, streamline processes, and empower employees to focus on higher-value work.  Competitive Edge: Make smarter, data-driven decisions and deliver personalized customer experiences.  New Growth Opportunities:  Discover new markets, optimize pricing, and transform supply chain efficiency. Don’t Get Left Behind: The AI wave is surging now’s the time to embrace it, navigate the challenges, and harness the winds of innovation to propel your business forward. References Bureau, U. C. (2024, December 5). Is AI Use Increasing Among Small Businesses? Census.gov . https://www.census.gov/newsroom/blogs/research-matters/2024/12/ai-use-small-businesses.html New Accenture Research Finds that Companies with AI-Led Processes Outperform Peers. (2024). Accenture.com . https://newsroom.accenture.com/news/2024/new-accenture-research-finds-that-companies-with-ai-led-processes-outperform-peers   Shreena. (2024, May). Forbes: How AI Creates Competitive Advantage For Midsize Companies. Oxford Economics. https://www.oxfordeconomics.com/resource/forbes-how-ai-creates-competitive-advantage-for-midsize-companies/   Staff, U. S. C. (2024, September 16). New Study Reveals Nearly All U.S. Small Businesses Leverage AI-Enabled Tools, Warns Proposed Regulations Could Hinder Growth. Uschamber.com ; U.S. Chamber of Commerce. https://www.uschamber.com/technology/artificial-intelligence/new-study-reveals-nearly-all-u-s-small-businesses-leverage-ai-enabled-tools-warns-proposed-regulations-could-hinder-growth   Wolters, W. (2024, October 16). AI in the Workplace: Boosting Productivity | Medium. Medium. https://medium.com/@nurtured_glaucous_whale_476/the-challenge-of-enterprise-ai-adoption-fc603620923a   Copyright © 2025 by Arete Coach LLC. All rights reserved.

In recent weeks, Agentic AI has taken center stage in our AI-related discussions. This concept has gained even more relevance with OpenAI's introduction of its first Agentic AI, called “Operator.” Operator is a groundbreaking agent capable of performing tasks on the web independently. Using its built-in browser, it can navigate websites, interact with content by typing, clicking, and scrolling, executing tasks as directed. Currently available as a research preview, Operator has some limitations and is designed to evolve through user feedback. It represents an exciting step forward in AI capabilities, enabling systems to perform tasks autonomously with minimal input—marking a significant milestone in the development of Agentic AI. How It Works OpenAI reports Operator’s capabilities as being designed to “handle a wide variety of repetitive browser tasks such as filling out forms, ordering groceries, and even creating memes. ” (OpenAI, 2024). By utilizing the same interfaces and tools that humans interact with daily, such as your internet browser, Operator expands upon Chat GPT’s prior applications of AI.  Unlike other iterations of ChatGPT and OpenAI products, which were solely generative and required users to guide every action, Operator introduces the potential for AI to complete tasks within a framework rather than relying on prompt-by-prompt instructions. What sets Operator apart from traditional Agentic AI solutions—which often require programmers to code within rigid frameworks—is its ability to “‘see’ (through screenshots) and ‘interact’ (using all the actions a mouse and keyboard allow) with a browser, enabling it to take action on the web without requiring custom API integrations.” (OpenAI, 2024).  Its decision-making process is fully transparent, with a detailed step-by-step rationale displayed to the user in real-time. When Operator encounters challenges or makes errors, it utilizes its advanced reasoning capabilities to identify and resolve the issue on its own. If it reaches a point where assistance is required, it smoothly transitions control back to the user, fostering a seamless and collaborative interaction that prioritizes ease of use. Current Use Cases Operator’s current use cases are primarily focused on personal tasks such as grocery shopping, making reservations, staying updated with news, and more. Users can select a website from a list provided by OpenAI and begin engaging with it seamlessly. For example, OpenAI demonstrates how the Agent can use Instacart to perform a series of tasks: (i) find a recipe on AllRecipes.com , (ii) purchase the required ingredients on Instacart, and (iii) exclude ingredients the user has already specified they own. Moreover, for each website integrated with the tool, users can provide personalized instructions to tailor its actions. For instance, with Priceline.com , users can set preferences such as booking only hotels that offer “free breakfast and fully refundable rooms.” With this customization, the Agent ensures all recommendations align with user preferences, making tasks like trip planning significantly easier and more efficient. What It Means Currently available exclusively to Pro users during its initial Research Preview phase, Operator introduces an exciting vision for the future of Agentic AI. By eliminating barriers such as the need for programming expertise and the cost of API integrations, it opens up new possibilities for how individuals and businesses can harness AI to streamline tasks and enhance productivity. As Operator evolves based on user feedback, we anticipate its integration with a broader range of websites will expand. This growth could empower executive coaches, business leaders, and CEOs to leverage Operator as a powerful "back-pocket assistant," helping them operate more efficiently and strategically. By extending its utility beyond personal use, Operator has the potential to transform business workflows by accelerating task completion, simplifying adoption through seamless compatibility with existing systems, and offering early adopters a distinct advantage as industry pioneers. As Operator advances, we aim to harness its potential to benefit both executive coaches and the industry as a whole. By applying Operator to key foundational use cases, we can enhance our ability to support clients more effectively than ever before. Foundational examples of leveraging Operator we hope to see in the future could include: Market Monitoring: Track competitor activities or industry trends by scanning relevant websites and news platforms, as well as identify growth opportunities by analyzing customer feedback or market data. Research Assistance: Gather and summarize information on clients’ industries, competitors, or market trends, and prepare detailed client insights and performance metrics for coaching sessions. Strategic Research: Use Operator to analyze new markets, potential partnerships, or acquisitions, and collect and summarize key reports on industry trends, policy changes, or regulatory updates. Operational Efficiency: Delegate routine decision-making tasks like reordering supplies, renewing subscriptions, or managing admin-related communications. Furthermore, leverage Operator to review performance dashboards and flag anomalies or trends for further analysis. Streamlined Administrative Tasks: Automate routine tasks like scheduling appointments, completing forms, or managing CRM data, allowing coaches to focus more on delivering value to clients rather than spending time on operational logistics. Decision Support: With its reasoning capabilities, Operator could assist leaders in analyzing data, generating insights, and even drafting communications or proposals, enabling faster and more informed decisions, especially for leaders managing dynamic and complex environments. The Main Takeaway Although Operator's current applications focus primarily on personal tasks, it's essential for executive coaches to stay informed about tools like this as they could significantly impact professional contexts in the future. By understanding and anticipating the potential of Agentic AI, coaches can position themselves as early adopters and innovators, ready to leverage these technologies as they evolve toward more professional and business-focused use cases. Operator’s ability to automate repetitive tasks, perform complex decision-making, and integrate seamlessly into existing workflows has clear implications for the coaching industry. For executive coaches, staying abreast of these developments means being prepared to harness similar tools to enhance client engagement, improve operational efficiency, and provide data-driven insights. In essence, remaining informed about advancements like Operator ensures that executive coaches can proactively adapt to technological shifts, unlocking new opportunities to drive growth for themselves, their clients, and the broader coaching industry. DeepSeek-R1: Advancing NLP and Disrupting AI Innovation DeepSeek is an AI research initiative dedicated to redefining natural language processing (NLP) to elevate AI's ability to interpret and generate text with human-like depth and precision. By delving into the intricacies of context, nuance, and subtlety in communication, DeepSeek seeks to transform applications such as conversational AI, automated content generation, and tailored user experiences. Its mission is to push the limits of AI's capacity to emulate and complement human cognition, fostering more intuitive and accessible AI systems. This week, DeepSeek introduced DeepSeek-R1, a groundbreaking reasoning-focused AI model that has made waves across the AI community. Delivering exceptional performance on multiple benchmarks, DeepSeek-R1 was developed at a fraction of the usual cost and resource expenditure. Reports highlight that “DeepSeek’s API costs are over 90% lower than the comparable o1 model from OpenAI” (Franzen, 2025). This achievement not only challenges industry leaders such as OpenAI and Google but also underscores the feasibility of producing advanced AI under tight resource constraints, raising questions about the effectiveness of U.S. semiconductor export restrictions. Renowned for its commitment to advancing NLP, DeepSeek is revolutionizing AI's ability to grasp the complexities of human communication. These innovations open doors to transformative developments in conversational AI, automated content creation, and personalized experiences, advancing AI's broader potential to enhance and replicate human cognitive processes. References Franzen, C. (2025, January 24). Why everyone in AI is freaking out about DeepSeek. VentureBeat. https://venturebeat.com/ai/why-everyone-in-ai-is-freaking-out-about-deepseek/ Copyright © 2025 by Arete Coach LLC. All rights reserved.

This article stems from an exploration of over 50 industry-specific AI use cases, guided by research insights from Google Gemini Deep Researcher, a custom-trained GPT model that I tailored for AI strategy and management consulting, and Perplexity AI. Over January 2025, I’ll share findings to demystify AI implementation, starting here with a focus on separating fact from fiction and avoiding colossal failures in AI projects. This article was originally published on LinkedIn by Severin Sorensen and has been approved for placement on Arete Coach. Scroll to continue reading or click here  to read the original article. A Personal Reflection on Early Tech Enthusiasm The current AI buzz reminds me of the early 2000s when I worked in the physical security industry. Back then, vendors pitched video motion detection algorithms as the ultimate threat detection solution. However, it took nearly two decades for that vision to become viable. Today’s AI feels similar. It promises transformative outcomes but also presents a journey fraught with challenges. While AI's potential is undeniable, leaders must approach it pragmatically, avoiding the trap of "demo pimps" peddling overpromised solutions. Real value emerges when AI implementation is grounded in thoughtful planning and clear objectives. In my research, I’ve identified numerous promising AI use cases, which I’ll detail in future posts this month. What excites me most is the rapid evolution of AI models. Interacting with these tools increasingly feels like engaging with brilliant minds—challenging assumptions, sparking creativity, and elevating strategic thinking. The challenge now isn’t whether AI can deliver but how we can bridge the gap between its promise and meaningful results. AI’s Grim Reality: 80% Failure Rate The transformative promise of AI is undeniable. Yet, an analysis of 50+ use cases revealed a sobering statistic: over 80% of AI projects fail to reach completion—far higher than the failure rate of traditional IT projects (Ryseff, 2024). Why? AI, particularly agentic AI, demands fundamentally different approaches to design, deployment, and leadership. Common Traps in AI Implementation Unclear Objectives and Poor Project Management: Many AI projects start with enthusiasm but lack specific, measurable objectives. Weak project management leads to scope creep, misaligned priorities, and failure. Insufficient Infrastructure and Data Governance:  AI thrives on robust infrastructure and clean, well-governed data. Without these foundations, even the most ambitious projects are doomed. Misunderstanding Agentic AI:  Agentic AI systems aren’t static—they learn, evolve, and adapt. Misunderstanding this complexity leads to mismatched expectations and poorly designed systems. Ignoring the Velocity Imperative:  AI systems must adapt rapidly to changing business conditions. Without this agility, they quickly lose relevance and value. Overlooking Architectural Humility:  Overconfidence in AI's capabilities blinds organizations to its limitations. AI isn’t a magic wand; successful implementation requires humility, continuous learning, and system improvement. The Wrong Leaders in Key Positions:  One overlooked issue is leadership. Too often, organizations rely on IT leaders who excelled a decade ago but haven’t kept pace with AI’s demands. I’ve spoken with frustrated CEOs who recognize that outdated guidance from their teams hinders progress. Building a Roadmap to Achievable AI To harness AI’s transformative power, CEOs must adopt a disciplined, strategic approach. Here’s how: Define Clear Objectives and Strengthen Project Management: Align AI initiatives with specific business goals. Invest in skilled project managers to translate technical capabilities into actionable plans. Invest in Infrastructure and Data Governance: Build scalable, reliable infrastructure and implement rigorous data governance frameworks. Clean, accessible data is the lifeblood of AI success. Deepen Understanding of Agentic AI:  Educate leadership teams about agentic AI’s dynamic nature. Understanding its continuous learning process helps set realistic expectations and drives effective solutions. Embrace the Velocity Imperative:  Design systems that adapt quickly to changing market dynamics. Incorporate real-time data streams and algorithms that evolve alongside the business environment. Promote Architectural Humility: Acknowledge AI’s limitations. Foster a culture of iterative development, continuous improvement, and realistic expectations. Get the Right People in the Right Seats:  As with finance or operations, having the wrong leader for AI strategy will hobble your organization. Be bold in recognizing when your current leadership isn’t fit for the modern challenges of AI—and act accordingly. From Hopeium to Tangible Success AI’s transformative power is real, but achieving results requires a shift from speculative optimism to disciplined execution. By addressing common pitfalls and aligning your organization with achievable strategies, you can turn potential failures into stepping stones to success. Closing Thought: A CEO’s Role in AI Success As a CEO, your role extends beyond championing innovation—you must also anchor it in reality. By steering clear of "hopeium" and focusing on strategic execution, you can guide your organization toward harnessing AI’s full potential. This year, I’m dedicating my efforts to helping leaders navigate AI responsibly and effectively. Let’s turn AI’s promise into measurable outcomes—one pragmatic initiative at a time. Stay tuned for more insights in the weeks ahead. References Ryseff, J., Brandon De Bruhl, & Newberry, S. J. (2024, August 13). The Root Causes of Failure for Artificial Intelligence Projects and How They Can Succeed: Avoiding the Anti-Patterns of AI. Rand.org ; RAND Corporation. https://www.rand.org/pubs/research_reports/RRA2680-1.html Copyright © 2025 by Arete Coach LLC. All rights reserved.

Artificial intelligence (AI) has demonstrated remarkable capabilities, impacting industries from healthcare to finance. Yet, while AI excels at processing data and executing knowledge-based tasks, it remains far from replacing human judgment, especially when making complex decisions. This distinction becomes clear when we consider the DIKW Pyramid—the Data, Information, Knowledge, and Wisdom hierarchy. While AI thrives in handling data and knowledge, there is still a significant journey ahead before it evolves into what we might call a “Wisdom bot.” This article was originally published on LinkedIn by Severin Sorensen and has been approved for placement on Arete Coach. Scroll to continue reading or click here to read the original article. The DIKW Pyramid: A Framework for Understanding AI’s Limitations The DIKW Pyramid—Data, Information, Knowledge, and Wisdom—provides a powerful framework for understanding how value is derived from raw data: Data:  Raw data points, unprocessed facts. AI systems are superb at managing and analyzing vast quantities of data—something no human could do at the same speed or scale. But raw data, by itself, lacks meaning. Information: Data becomes useful when structured and contextualized, transforming it into information. For instance, analyzing customer preferences or financial trends creates actionable insights, which AI does quite effectively. Knowledge:  This is where AI starts to shine, using information to make predictions and automate tasks, whether optimizing supply chains or making real-time recommendations in e-commerce. Knowledge-based AI can perform routine tasks with incredible efficiency and accuracy. Wisdom: Wisdom, the pinnacle of the pyramid, is more elusive. It involves the ability for AI to make sound decisions when faced with novel, ambiguous, or complex scenarios. Wisdom requires not only knowledge but also an understanding of context, ethics, and long-term consequences—something that AI, for all its data-crunching capabilities, is far from mastering. AI: Book Smart, but Street Stupid? As Yann LeCun , AI pioneer and Chief AI Scientist at Meta, recently remarked on X (10/12/24): “Do not confuse retrieval with reasoning. Do not confuse rote learning with understanding. Do not confuse accumulated knowledge with intelligence” ( x.com , 2024). LeCun’s words perfectly encapsulate AI's current limitations. While AI excels at recognizing patterns, retrieving data, and applying learned rules, it struggles with reasoning—particularly in situations where past data doesn’t provide the answers. Here’s why this matters: Retrieval vs. Reasoning:  AI can retrieve information efficiently, but reasoning requires applying knowledge to new situations, often involving trade-offs and unknowns. AI lacks the adaptability that human leaders exhibit when faced with unforeseen challenges. Rote Learning vs. Understanding: AI often learns by recognizing patterns in historical data. However, understanding the underlying principles or why something happens requires more than just learning patterns—it demands contextual, flexible thinking. Knowledge vs. Intelligence: Accumulating vast amounts of data or knowledge does not equate to intelligence. Intelligence involves the ability to adapt, consider ethical implications, and reason through unfamiliar situations—qualities that are key in unpredictable environments like business leadership or crisis management. AI in the C-Suite: A Business Case Study A recent experiment from the University of Cambridge highlights these limitations in a real-world business context. As detailed in Business Insider (Vlamis, 2024), the experiment pitted AI against human CEOs in a simulation designed to mimic real-world business decisions. The results were fascinating—and revealing. In most routine tasks, AI outperformed human executives. It excelled at optimizing pricing, managing inventory, and designing products  based on market demands. For example, when participants were tasked with designing a car from 250,000 potential combinations, AI models created better vehicles than human CEOs (Vlamis, 2024). Why? Because AI approached the problem like a complex optimization puzzle, focusing purely on customer preferences without the biases that human designers might bring. However, when confronted with a "black swan" event—an unexpected disruption, like the onset of a pandemic—AI floundered. It struggled to adjust its strategies quickly and couldn’t make the type of rapid, creative decisions that human CEOs could. As a result, AI was "fired" by the virtual board of directors more quickly than the human participants (Vlamis, 2024). One of the researchers behind the experiment, Hamza Mudassir, noted: "It did not do well on survival within the C-suite just because it was not very good at handling abrupt changes or changes that require a new way of thinking” (Vlamis, 2024). This experiment highlights a critical limitation: while AI is excellent at handling routine, predictable tasks, it often falters when faced with the unexpected —precisely the kind of situations that demand wisdom, flexibility, and creative problem-solving. The need for wisdom in leadership is urgent. Business leadership requires more than optimizing efficiency or maximizing short-term profits. CEOs must regularly navigate ambiguous challenges, from market disruptions to geopolitical shifts. In these instances, data and knowledge alone are not enough—wisdom is required to make decisions that balance immediate needs with long-term impact. AI, for all its prowess, still struggles in this domain. It can analyze historical data to predict outcomes, but when faced with unprecedented challenges like a pandemic, a regulatory upheaval, or a shift in public sentiment, AI lacks the ability to reason through these complexities. Human CEOs, on the other hand, draw on experience, intuition, and judgment—qualities rooted in wisdom. The Cambridge experiment serves as a cautionary tale: while AI can complement human decision-making in the C-suite, it’s not ready to replace human leaders. It lacks the wisdom to navigate black swan events, sudden market shifts, or ethical dilemmas—scenarios that require the ability to reason, adapt, and innovate in real time. The Future: From Knowledge Bots to Wisdom Bots The path forward for AI lies in addressing these gaps. For AI to become a true “wisdom bot,” it needs to develop capabilities beyond rote learning and knowledge-based tasks. Here are key areas of growth: Contextual Awareness: Wisdom requires understanding the broader implications of decisions. Future AI systems will need to recognize not just the immediate data but the wider context in which decisions are made, including social, economic, and ethical factors. Ethical Reasoning: AI struggles with ethical dilemmas because they require balancing competing priorities and understanding human values. As AI becomes more integrated into decision-making roles, it must learn to navigate these complexities and make difficult choices that align with societal norms and values. Adaptability in Uncertain Environments: The ability to handle "black swan" events, such as economic crises or pandemics, requires a level of adaptability and creative problem-solving that AI has yet to master. This is perhaps the most critical area where wisdom is needed. Emotional Intelligence: Leadership is not just about data-driven decision-making. It involves empathy, emotional intelligence, and understanding human motivations—qualities that are vital in managing teams, communicating vision, and responding to crises. Conclusion: Why Wisdom Matters in AI’s Future The potential for AI to assist in business strategy and leadership is undeniable. But to reach its full potential, AI must transcend its current limitations and evolve into a system that not only knows but understands. Wisdom, much like "street smarts" and the acumen to make good decisions in a timely manner with imperfect information, is the key to navigating the unpredictable, the ambiguous, and the ethically complex—and it's something that today's AI systems are not yet equipped to handle. The journey from knowledge bots to wisdom bots requires breakthroughs in fields like machine reasoning, ethical AI, and decision theory. While AI will undoubtedly play a critical role in shaping the future of business and leadership, it is wisdom—the ability to think deeply, reason thoughtfully, and adapt creatively—that will remain the hallmark of great leadership. In the end, the world doesn’t just need AI that's knowledgeable—it needs AI that's street smart, possesses keen acumen, and, above all, is truly wise. References Vlamis, K. (2024, October 9). AI almost beat human CEOs in a competition — but it got fired. Business Insider. https://www.businessinsider.com/ai-gpt-human-ceo-which-is-better-2024-10 x.com . (2024). X (Formerly Twitter). https://x.com/ylecun/status/1845193021584728365 Copyright © 2024 by Arete Coach LLC. All rights reserved.