The debate about whether large language models are transformative or overhyped occasionally produces real-world data. These inevitably arrive with eye-catching headlines (e.g. MIT report: 95% of generative AI pilots at companies are failing) built on shaky methodology (based on 52 structured interviews at conferences, analysis of 300+ public AI initiatives and surveys with 153 leaders). There’s something to be learned here, but the headline isn’t it. The latest example is a Harvard Busin...
