I kind of get what they're thinking in trying to make sure all engineers use AI. For myself, and for the engineers working with me, I saw everyone go through an initial aversion and resistance to AI, and then an instant productivity boost when we started using them. So there's definitely a good reason to get everybody to start using AI. You don't want a good engineer resisting AI indefinitely if you know it will make them more productive.
Incentivizing people who are already using AI to use as many tokens as possible does seem a little crazy, though.
There is a limit somewhere, but I keep finding more and more ways to use AI.
Not just coding, but things like "here is my teams mandate, go through all my company's slack channels, linear tasks, notion pages, and recent merges in got, summarize any work other teams are doing that intersect with my team's work."
That'll burn a lot of tokens.
Set that up to run once or twice a week and give a report.
I've been using it for many months. I still haven't gotten any kind of boost. If I'm going to get ranked on token use though, best believe I'll be using the optimal quantity of tokens.
It's worth reflecting on why it's so hard to convince hold outs to discover how AI might help them. The fundamental issue is that there really aren't many convincing demonstrations that hold outs can relate to and there remains basically no evidence of real value gained.
Users attest to higher productivity and point to material but intermediate factors like token use, generated lines of code, pr counts, etc, but there doesn't seem to be a convincing revolution in the quantity or quality of mature software being delivered.
Combine that puzzling impressions of outcomes with a sense, for many, that they don't feel like they have a personal problem that warrants a new tool, and you end up with a pretty earnest and defensible indifference.
To get hold out engineers using AI, the industry needs to be focused on demonstrating relatable workflow improvements and demonstrating practical improvements to finished work product. Instead, policies like token use incentives just rely on luring them into pulling the slot machine handle with the expectation that once they do, they'll join the cadre of other converts who justify their transition with subjective improvements and intermediate metrics.