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New research paper attempts to quantify which professions have to most to lose from the introduction of GPTs into the larger world. From the abstract:
The results vary by models but mathematics and math-related industries like accounting have the highest risk. The researchers overall found that "information processing industries (4-digits NAICS) exhibit high exposure, while manufacturing, agriculture, and mining demonstrate low exposure" (pg 15) and "programming and writing skills...are more susceptible to being influenced by language models."
I find myself wondering if "learn to code" from however long back will shortly become "learn to farm" or some such.
I have never taken these sort of studies or projections with much salt. Any job loss is easily negated by the creation of new, unforeseen jobs as well as more total jobs as the economy grows. AI as far back as 15 years ago was projected to displace lawyers, doctors, and journalists...not even close to happening. At best, AI only replaces a part of the job, not the whole thing. AI can help doctors diagnose conditions but cannot treat patients, nor can it make invasive diagnosis like biopsy.
This process has, in the past, led to a lot of disruption. Coal miners and journalists aren't going to learn to code. There are winners and losers. You can see the effects of this in hollowed-out cities all over the Rust Belt. Even the winning areas aren't necessarily in great shape. What has 50 years of "winning" done for the Bay Area except to make it a worse place to live for nearly everyone?
I agree that the disruption will be hard to predict. Some "disrupted" professions may even see a pay raise as increased productivity raises the value of their work.
All this, of course, ignores the possibility of true AGI coming beyond which these concerns may seem quaint.
As someone who lives in the Rust Belt, automation isn't what did American industry in. In fact, I'd posit that the industry would have been able to hang on longer if it had automated sooner. It wasn't as if a wave of automation caused massive layoffs; that would suggest that the improved productivity and lower costs gave industry a leg up and enabled it to become leaner and more profitable. Instead, what we saw was unemployment due to widespread plant closures and bankruptcies. The problem with American industry was that it had, throughout most of its existence, been driven by the availability of cheap energy. And when energy is cheap, expensive efficiency improvements are hard to justify. The oil shocks of the 70s found these industries with rapidly escalating costs and outdated equipment, and suddenly their manufacturing was no longer profitable.
So now the real question: was the coming collapse of German industry and general European economic competitiveness a specific goal of American policy, a side effect, or something the Americans were seeking to avoid?
It's mostly a self-own by the Europeans who bought into a failed model of energy production, aka "solar is already cheaper than coal", not realizing the importance of baseload power and how faked the numbers were on behalf of renewables.
As American energy policy is just as blundering, I don't think there's a master plan here. It's just incompetence all the way down.
It will be China, not the U.S., which benefits from lowered European industrial production. Curiously, China is building out new coal plants that will use more coal than all existing European plants. 2022 set the record for worldwide coal consumption. 2023 will be higher. So it goes.
Somewhere in a folder from the 1970s, there's a plan for a nuclear future for Europe. Maybe they should dust that off.
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