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
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Sales reps spend 2 hours per day actually selling. Two hours. The other six disappear into CRM updates, lead research, and administrative busywork that a smart intern could automate. If your account executive earns $100,000 annually, you’re paying $75,000 for glorified data entry. Companies take an average of 17 hours to respond to webRead more
A Fortune 500 retail company recently discovered their AI had autonomously adjusted pricing across 40,000 products and reallocated $50 million in media spend over three weeks. The marketing team was focused on quarterly planning. The AI decisions generated 15% higher return on ad spend than the previous quarter. The marketing leadership team had noRead 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
Amazon’s AI moved 40% of a Seattle warehouse’s inventory locations overnight. No human planned it. No meetings were held. The system just decided the layout was suboptimal, redesigned everything, and executed the move while humans slept. Picking efficiency jumped 23% by Monday morning. That’s not automation. That’s autonomous intelligence, and it’s already reshaping globalRead more
Here’s what stopped me cold when I saw our latest research: 80% of companies are deploying generative tech, but exactly the same percentage reports zero bottom line impact. I’ve spent the last three years helping CEOs navigate this transformation, and I can tell you the difference between companies seeing real value and those burning cashRead more