Playing out in company after company right now: CEOs: “Get me some of that GenAI” CTO: “OK, we have all the GenAI” CEOs: “Employees, it’s AI or bust” Employees: Tokenmax CFO: “Um, this is costing a ton and we’re not seeing savings or efficiency materialize.” CEO: “Are we getting any value out of this?” COO: “Not really, and frankly I’m getting annoyed at all the AI slop turning up all over.” CEO: “OK, well, let’s do…
My analysis of the whole space is that all the tech people are focused on completely the wrong end of the problem space (model quality, training, token cost, etc.). They are geeking out on that stuff. Worse, they are mostly not even that good at using their own tools. I regularly talk to so called "AI native" companies that are hiring enterprise sales people to do sales like it's 2006 instead of 2026. Their product is AI native, but their companies aren't.
The real issues are on the low level plumbing end. How do you connect all the data silos you have. Are they even the right silos still? And once you fix that: how do you get organized around tapping into those. What guardrails do you need? How do you deal with compliance issues? Etc. You don't need to do a lot to get value back. Most people haven't gone there yet.
Mostly people actually already have and pay for the tools that would enable a lot more if only they knew how: ChatGPT, Codex, Manus, Perlexity Computer, Claude CoWork, etc.
What you are outlining is funny but true. The issue isn't money or tools but figuring out what to do with the tools you already bought.