Honest thinking about technology decisions.

Most AI projects fail not because of bad technology, but because leaders skip the strategic questions that separate transformation from expensive experimentation. Three uncomfortable questions can save you millions and actually deliver results.

While executives debate AI strategies, AI is becoming a commodity. The companies that win tomorrow are building advantages that survive when everyone has the same tools.

The three questions that separate AI success from expensive experiments

Three groups are bullshitting you about AI right now. One's trying to sell you something. One works for you. One IS you. Here's how to spot the lies and stop funding fiction.

The data reveals a massive gap between AI investment and actual value creation. Here's why 96% of companies are failing and what the successful 4% do differently

Why the unglamorous prep work determines whether your technology actually transforms your business or just drains your budget.

The monitors still glow in my home office. They just don't know what to show me anymore.

Stop treating AI like either a threat or a miracle cure. Start treating it like what it is: a powerful tool that requires thoughtful implementation.

Why rebranding existing tools as "AI" creates strategic debt that compounds faster than you think—and what forward-thinking leaders do instead

Every vendor claims their tool will transform your business, but most executives drown in solutions to problems they don't actually have. The real skill: saying no to everything that doesn't move your specific needle.

Why "AI Sucks" (or..."AI is great!") Won't Help You

A single unclear decision in the C-suite creates a cascade of meetings, emails, and wasted effort that costs more than most executives realize

Why Your Test Projects Never Scale

Forget AI Revolution. Focus on AI Evolution. When practical implementation beats transformational promises, real competitive advantage emerges.

When AI-Generated Code belongs to someone else