In November 2025, Anthropic confirmed the first known case of a cyber espionage campaign executed primarily by autonomous AI agents.

This is the turning point security leaders have warned about: an era where attackers don’t just scale with automation, they scale with autonomy.

With the need for technology talent at an all-time high—and the new visa program taking shape—is this a boardroom concern?
This post provides background on the policy changes and what they could mean for companies competing for global tech talent. Read the post and let us know your view.

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.

Can transparency keep pace with AI’s power?
In the rapidly evolving world of artificial intelligence, transparency isn’t just a virtue—it’s a necessity. Anthropic has embarked on an ambitious journey to demystify AI systems, aiming to make them more understandable and trustworthy as they grow more powerful. Its 2027 Transparency Commitment sets clear goals to advance openness, accountability, and interpretability across its models. Read the post and let us know your view..

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12-to-16-year pipelines built for the industrial economy—only to send them into a world where their skills are already outdated.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.

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.

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.

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.

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.

Is there a real talent shortage? Learn what Elon Musk thinks about the talent shortage, offshoring, visa’s with some insight to the future

Compare the differences between President Biden’s and President Trumps approach to Ai legislation and policy regarding competitiveness, innovation and the fear of missing out

Compare the EU AI Act and NIST AI Risk Framework—two key global approaches to AI governance every board and senior leader should understand.

The European Union’s Artificial Intelligence Act (EU AI Act) and the National Institute of Standards and Technology’s AI Risk Management Framework (NIST AI RMF) represent two distinct approaches to regulating and managing artificial intelligence.

One of the most talked about and feared results of a digital transformations is the impact of structural change to business models. Legacy business have created strong business models with economies of scale and competitive moats. However, these business models are not forever.

Issues normally arise when you are going through a digital transformation, in fact a digital transformation normally brings about a range of policy issues that organizations must address.

Performing a digital health assessment is crucial for boards of directors to understand and evaluate the organization’s digital capabilities and identify potential risks and opportunities related to technology.

Assessing digital risk can be a tricky business. Risks can have multiple impacts on a company or initiative, and the digital landscape is constantly evolving.

The value of outside directors who are well-versed in digital business models, practices, and industry best practices cannot be overstated, especially for companies that are making significant investments in digital transformation or other technology changes.