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Steven Sinofsky on why it's hard for AI to diffuse through firms:

"Algorithmic thinking is really, really, really hard for the vast majority of people who have jobs… If you were to go into any person and ask them to create a flow chart for a particular thing that they have to… https://t.co/eQfE3bAjas pic.twitter.com/uKxyJtszZv

— a16z (@a16z) 8 avril 2026

Steven Sinofsky on why it's hard for AI to diffuse through firms: "Algorithmic thinking is really, really, really hard for the vast majority of people who have jobs… If you were to go into any person and ask them to create a flow chart for a particular thing that they have to go do, they would probably fail at producing that flow chart." "So within any organization, say doing a marketing plan… one person probably understands and could document the flow chart. So if you put one of these agents or this coworking tool in front of people… their ability to explain to it what to do is really, really limited." "You're basically just developing the next abstraction layer for how people interact… at each level of the abstraction layer, [it's] been a highly skilled, very specific individual within an organization… and then the little parts they build become little toollets… and some people can stitch together and some can't." @stevesi Box CEO Aaron Levie on the AI Adoption Gap Aaron Levie joins Steven Sinofsky, Martin Casado, and Erik Torenberg to discuss how AI agents will revolutionize work, the growing pains of building software for the agent economy, what Wall Street gets wrong about AI, and more. 00:00 Intro
00:51 Building software for agents vs. humans
02:10 Can non-technical workers actually use AI agents?
14:31 CFO/CIO pushback: the real fear of agents doing integration
18:39 Treating agents like employees and why it breaks down
27:35 Diffusion gap: startups vs. enterprises
42:53 What Wall Street gets wrong

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