Topics / Running AI in an organization

How do leaders push AI adoption?

Mandates, memos, expectations and incentives from leadership.

7 passages from 6 organizations; 7 checked against the source. The page states no conclusion: these are the organizations' own words.

we haven't done any mandates inside of Airbnb. It's all been organic adoption.

Christopher SansonProduct Lead, AI Developer Experience · Leader, Airbnb

Social post: DX podcast page (DX sells developer-productivity measurement software) carrying a talk given at its DX Annual conference, DX podcast page (DX sells developer-productivity measurement software) carrying a talk given at its DX Annual conference, June 22, 2026.

Checked against the source [ Grade B ] Said in the last year Airbnb: $12.2 billion revenue, FY2025 Passage page

No longer will they be the sole custodians of building the software. Instead, they will be responsible for building the factories that build the software. With this comes the responsibility of governance, safety, and the ownership of business outcomes.

FactoryPublished by the organization itself (post), no named author

Context. From Factory's Factory 2.0 announcement; “they” refers to engineers.

Post: Factory 2.0: From coding agents to software factories, Factory (own site), June 15, 2026.

Checked against the source [ Grade B ] Said in the last year Sells AI tools Passage page

if you align the org chart too much to the individual projects, you're going to end up re-orging every two weeks, which would be a total nightmare. … And there is the concept of a bet lead or a directly responsible individual. But the interesting thing is that they don't manage usually any of the other people, which … breaks the … previous way in which a lot of these things were done. But I think it leads us to be really flexible when you say, OK, actually, this project is not going to work out. Let's disband and keep going, and it's not a big deal.

Mike KriegerHead of Anthropic Labs · Leader, Anthropic

Context. Continuing his answer on how Anthropic Labs is structured; 'bets' are the project teams inside Labs.

Interview: How Anthropic Builds: Lessons from Labs, AI Engineer (YouTube), July 2, 2026, at 12:46.

Checked against the source [ Grade C ] Said in the last year Anthropic: $47 billion revenue, run-rate, May 2026 Sells AI tools Passage page

But especially in a labs-type group where our whole cadence is two-week reviews where every project goes up for, we call it persevere or pivot. So basically, every project is up for review, and either it's time to keep going, … or it's time to pivot it, or even shut down. And we shut down projects basically every single one of those cycles. And the more you do it, the less it's just like, oh, no, my project is shut down. I failed. It's like, no, that is definitely the intention of the lab team is to prototype quickly, try to ship internally, maybe get it to early access, and if it doesn't work, wind it down.

Mike KriegerHead of Anthropic Labs · Leader, Anthropic

Context. Answering how Anthropic Labs is structured.

Interview: How Anthropic Builds: Lessons from Labs, AI Engineer (YouTube), July 2, 2026, at 12:11.

Checked against the source [ Grade C ] Said in the last year Anthropic: $47 billion revenue, run-rate, May 2026 Sells AI tools Passage page

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