A profile of Ethan Mollick, a University of Pennsylvania professor whose early embrace of AI made him a go-to expert for policymakers and corporate leaders
Mollick’s emergence as a trusted interpreter for policymakers and corporate leaders sits alongside a broader search for AI expertise outside the labs. The DOJ’s appointment of a professor as its first chief AI officer shows public institutions building dedicated capacity to assess the technology.
The profile also reflects the growing importance of AI communicators: Sam Altman’s role as an industry ambassador made influence and coalition-building part of the sector’s public-facing competition. Mollick brings an academic voice into that same decision-making ecosystem.
First-order effects
Mollick gains a larger platform to shape how policymakers and corporate leaders understand and evaluate AI deployment.
Organizations seeking AI advice may place greater value on experts who can translate technical change into operational and policy choices, not only on model developers.
AI companies and corporate adopters face a more informed set of institutional counterparts as advisory expertise becomes embedded in leadership and policy discussions.
Third-order effects
If this pattern persists, AI governance and enterprise adoption will be shaped increasingly by a distributed expert layer spanning universities, government, and industry rather than by labs alone.
The premium on credible interpretation may become a durable source of influence in AI, alongside control of models, infrastructure, and distribution.
The trend: AI’s institutionalization is elevating academics who can bridge fast-moving technical capabilities with policy and business decision-making.
I profiled @ethan_mollick and it was a lot of fun. Philly in the springtime is gorgeous, and how many times in your life do you get to stand under a piece of the actual ENIAC while talking about the future of AI?
Ethan Mollick at the University of Pennsylvania has become the go-to AI expert for policymakers and corporate leaders alike. https://www.wsj.com/... https://www.wsj.com/...
“Every once in a while a surprising new technology comes along, and there are those who, quite unintentionally, happen to have spent their whole lives preparing for it,” writes Christopher Mims about Ethan Mollick Free to read: https://www.wsj.com/... #ai
Such a lovely profile of @emollick - from everything I know about him, it does a great job describing just how eclectic and nerdy his tastes are and yet how he manages to stay so on point and relevant. https://www.wsj.com/...
A valuable thing that teachers and coaches do is provide frameworks for solving problems. LLMs are very good at frameworks: they “know” a lot of them, and they are excellent at applying them to your problem. Here's a little GPT that suggests & makes them: https://chat.openai.com/…
“Soon enough, AIs will be navigating the internet, and eventually our world, with as much autonomy as we're willing to give them.” https://www.wsj.com/...
If AI really does plateau at 60-80th percentile of human ability (no sign it will/won't), the impacts may be stabilizing. Whatever you are best at (often what you enjoy most), you are likely to be better than an AI, but whatever you are not good at, AI can help fill in the gaps. …
I think too many people think only of AI use in places where errors are not tolerated. It isn't good at that. LLMs hallucinate & make mistakes. But for a huge amount of work, human error is tolerated, and the question is whether AIs (working with humans) make more or less...