6-12 months in, the AI bet doesnt pay off, then just stop spending money in it. cancel/dont renew contracts and move some teams around.
For full time entry hires, we typically dont see meaningful positive productivity (their cost is less than what they produce) for 6-8 months. Additionally, entry level takes time away from senior folks reducing their productivity. And if you need to cut payroll cost, its far more complicated, and worse for morale than just cutting AI spend.
So given the above, plus economy seemingly pre-recession (or have been according to some leading indicators) seems best to wait or hire very cautiously for next 6-8 months at least.
I think it's more to do with the outsourcing. Software is going the same way as manufacturing jobs. Automation hurts a little, but outsourcing kills.
I can imagine that there were a decent number of execs who tried chatgpt, made some outlandish predictions and based some hiring decisions upon those predictions though.
This paper looks kinda trashy - confusing correlation with causation and clickbaity.
From https://news.ycombinator.com/item?id=45131866 :
> In 2017 Trump made businesses have to amortize these [R&D] expenses over 5 years instead of deducting them, starting in 2022 (it is common for an administration to write laws that will only have a negative effect after they're gone). This move wrecked the R&D tax credit. Many US businesses stopped claiming R&D tax credits entirely as a result. Others had surprise tax bills.
Then companies bought their own stock instead of investing in labor:
"S&P 500 Buybacks Now Outpace All R&D Spending in the US" (2019) https://news.ycombinator.com/item?id=21762582
People just want the same R&D tax incentives back:
"Tell HN: Help restore the tax deduction for software dev in the US (Section 174)" (2025 (2439 points)) https://news.ycombinator.com/item?id=44226145