AI hype fuels pay rise – but only if you're in the right gig Sectors in which AI can be readily used for some tasks – including the software industry – have seen higher productivity and wage growth than others, according to research by PwC. In an analysis of nearly one billion job ads worldwide between 2018 and 2024, the global consultancy giant says it found that AI-exposed industries …
“ In an analysis of nearly one billion job ads worldwide between 2018 and 2024, the global consultancy giant says it found that AI-exposed industries have more than three times higher growth in revenue generated by each employee than other sectors.‘
How was the data in a job ad linked to “AI-exposed industries” and how was this converted into revenue per employee and revenue growth per employee.
I suspect there are a lot of assumptions behind this report, most of which are based on wet fingers.
> With productivity comes higher wages.
The last 50 years of economic data would disagree with this assertion!
> Growth in revenue per employee went up during the period when LLMs emerged, from 7 percent annually between 2018 and 2022 to 27 percent between 2018 (sic) and 2024.
You know what also affects "revenue per employee", at least in the short term? Layoffs. We saw a lot of layoffs in "AI-exposed industries" in the period between 2022 and 2024, and it's still too soon to see the consequences of under-staffing and over-slopping will have on these companies.
It wouldn't even surprise me if size/frequency of layoffs were one of the measures to define something as an "AI-exposed industry"!
AI Coding is entertaining. I have used a few different models and they have a tendency to make up magick solutions and you need to call them on it. To use it effectively you need to know how to code. So far it is an entertaining distraction that helped me crank out 4 pages of perl, well documented and functional. So my official opinion is ...meh..
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