
What does effective AI in the workplace actually look like? Not hype. Not fear. Research. In our latest blog, MIT Initiative on the Digital Economy (IDE) researchers break down what the evidence really shows about AI at work — and where companies are getting it wrong.
Featuring insights from:
- Neil Thompson, MIT IDE Research Lead and Director of MIT FutureTech
- David Autor, MIT economist and MIT IDE Research Affiliate
Their findings complicate the dominant narrative around productivity and automation:
- AI doesn’t automatically replace workers.
- It doesn’t always reduce costs.
- And it often introduces new coordination and oversight demands.
- But when organizations rethink workflows — and invest in human capability alongside AI — the gains can be real.
If you’re leading AI initiatives, building AI products, or shaping workforce strategy, this research is essential reading. Read the full blog here.