> these are the firms that spend on multiple models and use the most advanced and productivity-enhancing products available (coding agents and APIs as opposed to simple chat subscriptions)
> who funded you is a better predictor of AI adoption than the sector you’re in
My bet is that these companies are either:
1. In the business of trying to automate other jobs. The number of startups in this space is stupefying, so I'm sure more established companies with VC cash want a slice.
2. Leveraging AI to accelerate growth as much as possible because that's their mandate.
What's scary is that hiring across the rest of adopters (most employment) has remained stagnant. So what happens during the next recession?
Or it's self-dealing from these funding parties, and the hiring is business continuing as usual.
My understanding is that one of the advantages of being VC funded is that sales among sister companies become easier, sometimes going as far as the VC influencing purchasing on your behalf.
I expect you would find that companies that historically invest more in R&D or cap-ex tend to hire more in the following two years, regardless of the form of that investment. It doesn't look like the paper made any effort to control for different forms of R&D or cap-ex.
This isn't surprising to me. IT always has been a bottomless pit of work. There always have been so many things to make and do and so few (cheap enough) people to make them.
As things settle, if they can sit you in front of AI coding agent so you can achieve any better result than AI prompting itself, you are going to have work.
"If you are an engineer worried that AI will eliminate engineering jobs, our evidence says AI adopters are hiring engineers faster, not slower. Learn the latest technology to best position yourself for high-intensity AI adopting firms."
This is the most relevant bit for me. Thank you for sharing.
Blog on site by company pushing AI adoption and AI finance products advocates that AI does not hurt hiring and that you should keep integrating it. In other news, forks frequently found in kitchen and other surprising facts.
Ramp is an expense reporting tool with minimal LLM functionality and reasonably decent ML for reading receipts and categorizing expenses. This is bog-standard content marketing, not some conspiracy to sell you AI.
This is specific to a narrow band of industry:
> these are the firms that spend on multiple models and use the most advanced and productivity-enhancing products available (coding agents and APIs as opposed to simple chat subscriptions)
> who funded you is a better predictor of AI adoption than the sector you’re in
My bet is that these companies are either:
1. In the business of trying to automate other jobs. The number of startups in this space is stupefying, so I'm sure more established companies with VC cash want a slice.
2. Leveraging AI to accelerate growth as much as possible because that's their mandate.
What's scary is that hiring across the rest of adopters (most employment) has remained stagnant. So what happens during the next recession?
Or it's self-dealing from these funding parties, and the hiring is business continuing as usual.
My understanding is that one of the advantages of being VC funded is that sales among sister companies become easier, sometimes going as far as the VC influencing purchasing on your behalf.
I expect you would find that companies that historically invest more in R&D or cap-ex tend to hire more in the following two years, regardless of the form of that investment. It doesn't look like the paper made any effort to control for different forms of R&D or cap-ex.
This isn't surprising to me. IT always has been a bottomless pit of work. There always have been so many things to make and do and so few (cheap enough) people to make them.
As things settle, if they can sit you in front of AI coding agent so you can achieve any better result than AI prompting itself, you are going to have work.
"If you are an engineer worried that AI will eliminate engineering jobs, our evidence says AI adopters are hiring engineers faster, not slower. Learn the latest technology to best position yourself for high-intensity AI adopting firms."
This is the most relevant bit for me. Thank you for sharing.
Blog on site by company pushing AI adoption and AI finance products advocates that AI does not hurt hiring and that you should keep integrating it. In other news, forks frequently found in kitchen and other surprising facts.
Ramp is an expense reporting tool with minimal LLM functionality and reasonably decent ML for reading receipts and categorizing expenses. This is bog-standard content marketing, not some conspiracy to sell you AI.
And yet when I go their website the BANNER is: Introducing Stack by Ramp — the AI operating system for accounting firms.
Cheaper steam engines meant more coal burned, not less.
Larger tech companies are in the process of changing recruitment to only hire positions for core AI roles.. Good luck out there.
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