🤖 A new MIT report shows a harsh reality: 95% of enterprise generative AI pilots are failing to deliver business impact. It’s not the models themselves but the way companies try to use them. Executives often blame regulation or model quality, but the data shows the real problem is poor integration and misplaced bets. Most budgets are going into sales and marketing AI, while the biggest ROI is actually in back-office automation—cutting outsourcing costs and streamlining operations. The research also found that companies trying to build AI in-house fail far more often than those buying specialized tools and forming partnerships. Empowering line managers, not just central labs, also makes a big difference. A handful of firms are turning GenAI into growth, while the vast majority are burning time and budget. The lesson is that AI strategy isn’t about experimenting everywhere—it’s about focus, fit, and execution.
TL;DR
⚠️ 95% of pilots stall
🔐 Build in-house = high failure
🛠️ ROI strongest in back office
📈 Partnerships outperform solo
https://fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo/
#AI #Business #DigitalTransformation #CFO