America’s AI Action Plan
Do boards need to concern themselves with government AI initiatives?
In July 2025, the White House released the America’s AI Action Plan—a national strategy positioning artificial intelligence as the next major engine of economic and geopolitical power. The plan outlines more than ninety policy actions across three pillars: accelerating innovation, building AI infrastructure, and leading internationally in AI diplomacy and security. Read the post and let us know your view.
What Is Education in the After-Human-Intelligence Era?
Is the traditional classroom obsolete—or just awaiting its obituary?
In the era of After-Human-Intelligence (AHI), the velocity of change has outpaced legacy education systems. We continue to produce graduates through 12-to-16-year pipelines built for the industrial economy—only to send them into a world where their skills are already outdated. This isn’t just a gap; it’s a structural failure. Read the post and let us know your view.
Boards at the Crossroads: Confronting Mass Unemployment in the Age of AI
As artificial intelligence and robotics transform the global economy at breakneck speed, are boards prepared for the future of work?
Directors now face a rare and profound dilemma: whether to optimize for short-term productivity gains or help shape a sustainable future of work. The stakes are high—hundreds of millions of jobs could be displaced by automation by 2030. These are not just statistics; they represent a fundamental shift in how organizations create value. Read the post and let us know your view.
What Is Strategy in the Era of After-Human-Time?
Has strategy itself become obsolete?
Once the cornerstone of disciplined leadership, strategy has become a race against time—and most companies are falling behind. The classic model of research, analyze, decide, execute was built for a slower, more predictable world. In today’s accelerated environment, it’s not just outdated—it’s dangerous. Read the post and let us know your view.
Anthropic’s Transparency Roadmap and Implications for AI Governance
Can an AI company balance profit and principle?
Anthropic—founded as a safety-first AI research company—has evolved into a dual-purpose organization: part deep research lab, part enterprise AI provider. Today it stands among the leading developers of advanced language models (Claude 1–3), offering commercial products through partnerships with Amazon, Google, and major cloud platforms. Despite rapid growth, Anthropic continues to prioritize interpretability, safety, and transparency—culminating in its 2027 Transparency Roadmap. Read the post and let us know your view.
Technology Governance Implications of OpenAI’s Deep Research System
Does AI-powered “Deep Research” change what boards need to govern?
OpenAI’s Deep Research marks a step-change in AI-enabled web browsing, reasoning, and multi-step research. Built on an early version of OpenAI o3, it blends real-time internet access, document interpretation, and Python-based analysis in a sandboxed environment. While the capabilities unlock new avenues for insight and innovation, they also introduce governance, ethical, and cybersecurity considerations directors must address. Read the post and let us know your view.