Organizations may switch harnesses and may even switch providers, but LLM adoption is only going to monotonically increase. This dumb behavior is not some intrinsic property, and the models are getting smarter and more useful every ~4 months.
Yes, but the question is "what kind of adoption"? The kind that just unleashes it, or the kind that put it on a short leash.
Not that I could say what those would be, just throwing it out there.
Probably the big divide will be orgs who use agents for more or less of the ideation/design/architecture proposal side of things. Giant Confluence sloppages/Google slopdocs vs. 100% human-written proposals. But the actual implementation and testing? Going forward, no reason to not have that be almost entirely LLMs.
(Plus, in a few generations we should expect the frontier LLMs to no longer produce garbage-to-mediocre proposals, and in fact to generally outshine human engineers and architects and researchers at the ideation phase. Whether that takes one year or five, who knows.)
Unless we're at singularity, there's likely to be an entire cohort of people unwilling to work in LLM shops, and there's business value to capture them.
security: zomg this is existentially bad we are leaking our fn'ing emails!11!
compliance: can we mitigate this problem?
legal: what can we do here?
CTO: don't care, we're not losing all this productivity because our emails are being leaked, have a good day
there’s very little downside to earnestly trying it, I used it for like a month, realized that it got out of my control, and if I wanted to master it I would have to develop skills and tooling, which seemed counterproductive at worst, and competing in a massively oversupplied field at best.
so my competitive advantage is now NOT using vibecoding.
time will tell if it’s the right choice