Articles

It's not a budget problem. It's not a talent problem. Companies are getting AI wrong because they're asking the wrong question. After building, selling, and operating companies across three continents, I can tell you exactly where the failure point is.

The confusion between cause and effect costs billions. Companies treat headcount reduction as AI strategy. What actually matters is how you compete — the reduction follows.

Most companies treat AI as an IT project. The winners treat it as a strategic decision. The gap between these two approaches defines who leads for the next decade.

The market talks about "Artificial Intelligence" as if it's one thing. It's not. The difference between replacing humans and amplifying humans is the difference between wasting billions and creating real advantage.

Most CEOs delegate AI to the technical team. It's like delegating financial strategy to the accountant. The result is predictable: investment without return and competitors pulling ahead.

When any company can build a perfect storefront, the storefront loses value. A conversation with Prof. J. E. Beni Bologna on the end of the SaaS era, the rise of vertical intelligence, and why technology has become a commodity.

Studies say 95% of AI pilots fail. Headlines amplify it. Executives pause investments. But what the headlines don't say is what will decide who wins the next decade.

Only 25% of AI projects deliver expected ROI. Only 16% have scaled enterprise-wide. This isn't a technology problem. It's an alignment failure — and a leadership failure.

The speed of AI adoption is far greater than it appears — and its impact will be far deeper than most expect. The next 12 to 24 months will determine who leads and who becomes irrelevant.

The claim that younger workers are most vulnerable to AI assumes experience is always a defensive asset. In the AI era, that equation is far more complicated — and more urgent for everyone.