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The LinkedIn CEO just told Gen Z that Ivy League degrees don’t matter anymore. Zuckerberg and Buffett are nodding along. “What matters now,” they say, “is adaptability, curiosity, AI skills.” I recently wrote about how companies are cutting entry-level roles by the thousands in “The AI Layoff Bet Most Companies Will Lose.” Now these sameRead more

I’ve spent twenty years advising Fortune 500 companies through every kind of transformation you can imagine. Digital. Cloud. Agile. What’s happening right now with AI and jobs is different, and we need to talk about it without the usual corporate BS.   In July 2025 alone, over 10,000 jobs disappeared specifically because companies decided AIRead more

The scientific controversy that’s dividing the AI research community   Here’s a statistic that should stop you in your tracks: AI models that supposedly “think” through complex problems actually give up trying when those problems get too hard. Not because they lack computing power, but because they seem to lose interest. Wait, what?   ThisRead more

Stanford’s SyntheMol platform generated designs and synthesis pathways for six novel antibiotics in under nine hours. Traditional pharmaceutical companies have explored only 0.0000001% of possible drug molecules across their entire history.   Meanwhile, AI-driven platforms achieve 80-90% success rates in Phase I trials while traditional drug development suffers 90% failure rates despite $83 billion inRead more

Google’s AI diagnosed lung cancer with 94.4% accuracy on 6,716 National Lung Cancer Screening Trial cases, outperforming all six radiologists with absolute reductions of 11% in false positives and 5% in false negatives. Patient actors consistently rated AI diagnostic conversations higher than human physicians on measures including empathy and trustworthiness.   Yes, AI was ratedRead more

The insurance industry is undergoing the most fundamental transformation since actuarial science was invented. Companies that execute AI implementation across core functions will dominate their markets. Those that don’t will become cautionary tales.   Right now, while most insurers debate AI strategy in boardrooms, a small group of leaders are compressing underwriting cycles from weeksRead more

Marriott spent $1.2 billion on AI technology in 2024. Less than 30% of AI leaders report their CEOs are satisfied with AI investment returns.   Meanwhile, 72% of hotel managers report that inaccurate demand forecasting leads directly to pricing mistakes and missed revenue opportunities. Yet most companies are still investing in chatbots instead of revenueRead more

A major office landlord recently deployed AI agents that reduced average lease negotiation time from 45 days to 6 hours while achieving 12% higher effective rents through superior market analysis.   Meanwhile, AI tools process lease abstracts for $25 versus traditional $200 costs, while Morgan Stanley analysis reveals 37% of $92 billion in commercial realRead more

Here’s the paradox that should make every executive pause: 78% of organizations now use AI and 88% of executives position AI among their primary strategic objectives, yet 74% of companies struggle to achieve and scale value from their AI investments. Fewer than 20% are scaling their efforts meaningfully.   Most executives are asking “How doRead more

You’ve probably seen the headlines this week about MIT’s research showing that 95% of enterprise AI projects are failing. The study spooked Wall Street and had executives everywhere questioning their AI strategies. But before you panic or write off AI as another tech bubble, let’s talk about what this research actually means.   I’ve beenRead more