This is great, thanks @Grzegorz Wojciechowski. I haven't studied how diffusion of innovation relates directly to internal developer tool adoption, but as a model it makes sense and matches my own personal experience. Time to theorize!
There are a couple of ways to look at it -- the first is if we are building a product for a specific customer segment in the company, then the early adopters and innovators are where we want to see the most adoption and thus business impact. The long tail of teams after may not be impactful relative to cost. But, this depends on the feature and if the platform culture is a "building for all" or "building the right thing for a customer segment". There's always that struggle.
The other is there is always an appetite to spend for further adoption until there isn't and at most companies, after the early majority (maybe?), the late adopters and laggards are usually coerced to adopt even if they don't want to by top-down pressure or the platform slowly turning features off. Of course, this is why thinking about near 0 effort adoption early in a feature/product is important -- so you can bypass some of these uncomfortable strategies as much as possible.
Either way, you raise an interesting idea that depending on the customer, the product, and the attractiveness (cost of delay vs cost to adopt), they may land in one of those diffusions and the strategy will be different per bucket, or set of buckets.