AI strategy. Straight talk.
Practical thinking on enterprise AI, for leaders who need clarity, not more noise.
- Agent Sprawl Is the New Shadow IT
96% of enterprises now use AI agents. Only 12% have a platform to govern them. The governance debt is forming right now, and most boards have no idea.
- The Middle Is Disappearing: AI and the End of Layered Management
60,000+ tech layoffs in Q1 2026, roughly half tied to AI restructuring, and middle management is the primary target. This is not a cost cycle. It is a new operating model.
- Claude Opus 4.7: What Actually Changed, and Why CEOs Should Care
Anthropic's new flagship model quietly raises the bar on agentic execution, vision, and reasoning control. Here's what's actually new, what's hype, and what it means for your AI strategy.
- Why 95% of AI Pilots Never Reach Production — And What to Do About It
Enterprise AI spending will hit $665 billion in 2026. Yet nearly every pilot stalls before it delivers value. The problem is not the technology. It is the gap between experimentation and execution.
- AI News Roundup: The Biggest Stories Shaping April 2026
From GPT-5.4's million-token context window to Oracle's massive AI pivot and Google's cost-slashing compression breakthrough — here's what enterprise leaders need to know this week.
- The Four Brutal Facts Every CEO Needs to Hear About AI
Most AI initiatives fail not because of the technology, but because of four uncomfortable truths that no one in your organisation wants to say out loud.
- What Is the AI Sweet Spot Framework?
A practical introduction to the four-pillar framework that helps leadership teams cut through AI hype and find where AI actually creates value in their business.
- The Case for a Fractional Chief AI Officer
Most mid-market companies need senior AI leadership but can't justify a full-time C-suite hire. Here's why the fractional model is the right answer — and what it actually looks like in practice.
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