MIT study on AI projects

Also known as MIT study, MIT report

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Two-thirds of surveyed projects were built internally or with consulting help; one-third involved buying from an outside company. 6:58 Good News For Startups: Enterprise Is Bad At AI

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Two-thirds of surveyed projects were built internally or with consulting help; one-third involved buying from an outside company.
“two-thirds were projects where the enterprise built software internally or did it with help from a consulting agency”
6:58inGood News For Startups: Enterprise Is Bad At AI YouTube

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21:43

Good News For Startups: Enterprise Is Bad At AI

Jared, Nana

The talk argues that enterprise AI projects often fail because internal teams and consultants struggle to build useful software, while startups can combine technical skill with product judgment and an understanding of business processes. It explains why selling AI to large organizations takes time: startups must integrate deeply with existing systems, navigate internal politics, and earn the trust of a champion. Examples from Taktile, Greenlight, Castle AI, and Reduct show startups winning work after internal or incumbent solutions fell short. The speakers encourage engineers to try AI coding tools on real projects and see the difficulty of implementation as an opportunity to build AI-native software.

Oct 30, 2025· 22 minDiscussed 0:48