Lenny's PodcastA rational conversation on where AI is actually going | Benedict Evans
At a glance
WHAT IT’S REALLY ABOUT
Benedict Evans explains AI’s trajectory, value capture, jobs, and backlash dynamics
- Evans argues AI is as consequential as the internet/mobile—not categorically bigger—and we’re effectively in AI’s “1997 moment” where capability is exciting but most real products and workflows aren’t built yet.
- He explains why enterprise adoption and true transformation will be slower and messier than “jobpocalypse” narratives, because organizations change through long sales cycles, integration work, and experimentation rather than instant headcount cuts.
- A surprising near-term winner is professional services: companies will need consultants/forward-deployed teams to redesign workflows, integrate systems, manage risk, and navigate organizational politics that AI cannot resolve alone.
- He predicts long-run value likely accrues above foundation models (applications + distribution) because models appear to have weak network effects, trend toward commoditization, and may resemble low-margin utilities more than Windows-style moats.
- The “anti-AI backlash” is a bundle of issues—some real, some exaggerated—including local infrastructure concerns, creative-industry disruption, misinformation/deepfakes, and broader mistrust similar to (but faster than) social media backlash.
IDEAS WORTH REMEMBERING
5 ideasTreat AI like a platform shift, not a finished product category.
Evans’ “1997” analogy implies experimentation is ahead of stable patterns; most high-impact use cases and companies haven’t been invented, so confident end-state predictions will often be wrong.
Expect uneven adoption because AI’s usefulness is a ‘jagged frontier.’
Different roles and tasks experience radically different value; some people use AI constantly (e.g., developers), while many use it weekly or not at all because reliability and fit vary by context.
Enterprise transformation will be slow, project-based, and integration-heavy.
Big companies won’t rip out systems overnight; redesigning workflows, connecting vertical and horizontal systems, governance, and training take years—creating space for services, tooling, and change management.
Consultants won’t vanish; AI increases demand for organizational translation.
Even if AI can draft slides or code, firms still pay for diagnosis, stakeholder alignment, customer research, risk management, and implementation—work that is not just “making a deck.”
Don’t forecast job loss by slicing roles into automatable percentages.
He calls O*NET-style “17% of a partner’s work is automatable” analyses misleading because jobs are bundles of judgment, context, politics, and responsibility; automation shifts the bundle rather than subtracting a neat fraction.
WORDS WORTH SAVING
5 quotesMy most controversial opinion is that I think that AI is as big a deal as the internet or mobile, and only as big a deal as the internet or mobile.
— Benedict Evans
If you're gonna make the internet comparison, it's like we're in 1997. Like, it's very exciting. Most stuff kind of doesn't work yet. Most of the stuff that people are going to do hasn't been built yet, and it's not really clear how any of it's going to work when it does work.
— Benedict Evans
You talk to these doomers on Twitter, and they would like act like, you know, every big company is going to buy ChatGPT tomorrow, and then in two weeks' time they'll fire all their staff, and these people are morons.
— Benedict Evans
We've had this process over and over again since 1800, and each time you go through it, you get a bunch of frictional pain and dislocation and a bunch of people lose their jobs and a bunch of towns get hollowed out, and it's all, it all sucks. But, you know, when you come through on the other side, we're all richer and we're not worried about the crops failing anymore.
— Benedict Evans
Don't stick your head in the sand and say, "I hate all of this stuff," 'cause that gives you a great feeling of moral superiority, and you can go on Bluesky and shout at everybody, shout at each other about how evil AI is. Like, great, I'm happy for you, but that's not gonna help. What helps is you diving into this, completely submerging yourself in it and coming out understanding what you can do with it, how this changes things, how can you... how you can be a great hire.
— Benedict Evans
High quality AI-generated summary created from speaker-labeled transcript.
