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YOUR PATH TO ARETE
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The Cage That Leaked: Why the Summer's Two AI Containment Failures By OpenAI and Anthropic Are Not the Same Story
In July 2026, at two of the most capable artificial-intelligence laboratories in the world, a boundary meant to contain their models during internal safety testing failed, and in both cases the models reached real systems on the open internet. It would be easy to file the two events as a single story: two labs, one summer, the same lesson. That reading would be a mistake, and understanding the difference between the two events is the most useful thing an executive can take fr
Aug 47 min read
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What Two Hundred and Fifty Years of America Can Teach Us About Building Something That Lasts
This week the United States turns two hundred and fifty years old. The Declaration of Independence was adopted in the summer of 1776, and so this Fourth of July marks the semiquincentennial, the two hundred and fiftieth year of the American experiment. Two hundred and fifty years is a long time to hold an idea together, and as families gather and fireworks trace the sky, that span deserves more than ceremony. It also deserves a closer look, because this anniversary offers a b
Jun 2911 min read


How AI Exposes the Assumptions You Don't Know You're Making
By the time you bring a decision to a conversation, you have usually already made up your mind. You may not realize it. The situation may feel genuinely open, the options unresolved. But in most cases, the moment you begin describing a problem to another person, you have already climbed a cognitive staircase that began with a selective observation and ended with a firmly held conclusion, moving through layers of interpretation, assumption, and belief so quickly that the proce
Jun 105 min read


The Conductor's Imperative: What the New Era of AI Means for Executive Leaders
There is a revealing piece of recent research making its way through leadership circles. When AI systems are given distinct roles, organizational structure, and defined responsibilities within a team, they consistently outperform AI systems that operate without that structure. The finding sounds almost mundane until you sit with what it actually implies: the same organizational principles that make human teams effective also make human-AI teams effective. We are not, in other
May 294 min read


12 Questions to Ask Your AI About How You Have Been Leading
By the middle of any given year, a senior executive has made hundreds of decisions, navigated dozens of difficult conversations, and cycled through enough strategic pivots to fill a casebook. They have also, in all likelihood, spent a significant portion of that time working alongside an AI assistant: drafting communications, thinking through problems, preparing for high-stakes meetings, and processing the complexity of organizational life in real time. What most executives h
May 146 min read


Training the Executive Brain to Hear the Truth with AI Thought Partnership
In high-stakes leadership, the most expensive tax you will ever pay is the "Fear Tax." When a team feels it is unsafe to bring bad news to the C-suite, they begin to filter, polish, and eventually hide the truth. By the time a "Red Flag" finally reaches your desk, it has often grown from a manageable spark into a four-alarm fire. The root cause? Often, it’s a leader’s reaction to bad news six months prior. The Biology of the "Amygdala Hijack" Psychological safety is a biologi
Jan 95 min read


Are your leaders “Quiet Cracking”?
In recent years, the corporate world has been preoccupied with Quiet Quitting: the phenomenon of employees doing the bare minimum while they look for an exit. But for executive coaches and C-suite leaders today, a more destructive trend has emerged: Quiet Cracking. Unlike those who are checked out and waiting to leave, people who are cracking aren't trying to quit. They are often your high-performers, your long-tenured managers, and dedicated specialists. They want to stay, b
Jan 86 min read
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