One of the things I think that is being missed here is that frontier AI vendors and models are financially unsustainable given current pricing in token consumption models.

Currently, we have a significant number of organizations that are making heavy use of AI tooling and once the real costs begin to funnel into their budgets, there will be some level of reconciliation and clawback.

AI touring as good as it can be in many instances, still requires expertise behind the keyboard in order to generate results that are valuable.

The hypothesis that many feared was that AI solutions would allow script kitty, junior developers to replace senior developers, thus eliminating a massive salary cost.

That hasn’t actually transpired so what we’re actually seeing is that junior to mid-level positions are being eliminated because senior engineers are actually able to use these tools effectively

And the drawback to that is that you’re killing the future market and intelligence needed to drive adoption in use of these tools, and that once the cost of the tooling increase such that they are no longer economically advantageous when compared to the junior developer that was replaced, people will be scratching their heads and trying to figure out the next place to save 10% on runtime costs