Over 200 Economists Say 'We Must Act Now' On AI's Economic Impact
1 139An anonymous reader quotes a report from the Associated Press: Hundreds of economists say in an open letter that institutions "must act now" to address how artificial intelligence could transform the economy and could put many people out of work. The statement released Monday was signed by top economists, along with computer scientists and some executives at tech companies including Anthropic, Google and OpenAI.
"AI may become radically more powerful over the next 10 years," says the letter organized by Stanford University's digital economy lab. "This could drive an unprecedented transformation of our economy, larger than the Industrial Revolution, but unfolding over a vastly shorter time frame. It could bring risks, including large-scale job displacement, as well as opportunities such as major gains in living standards."
The letter, which has only four sentences, says leaders must "build the incentives, guardrails, and institutions needed to steer AI in a direction that complements humans and benefits society." The Stanford lab says the letter has so far been signed by more than 200 economists and AI researchers, including 16 winners of a Nobel Prize. "We must be intentional and make collective, democratic choices, rather than letting market forces play out and risking leaving most citizens behind," wrote computer scientist and AI pioneer Yoshua Bengio, who was also among the signatories. He said it "it is highly plausible that AI will drastically transform our economies."
Other signatories include Google CEO Eric Schmidt, LinkedIn cofounder Reid Hoffman, and Nobel laureates Joseph Stiglitz, Daron Acemonglu, and Simon Johnson.
1 comments
Re:Lots of magical thinking here (Score: 5, Insightful)
by allo ( 1728082 ) on Tuesday July 14, 2026 @09:15AM (#66237880)
"There is not even reason to expect LLMs to be still a thing in 10 years."
Bullshit. Even if development would stop right now, people would use the existing tools the next 10 years and beyond. Even if their usage won't get better (hardware not getting cheaper and more efficient anymore) many of them run on affordable hardware that is worth the benefit brought by the tool.
I won't want to bet on the increase continuing like it currently goes for ten years, but people will surely use LLMs and image AI in ten years.
I also think that if current development stops, you can still increase the usefulness of current models by building good harnesses. Current ones are experimental, more complicated than needed and chaotic what to use when.
If you look at professional software, Photoshop doesn't have great tools because the algorithms are that great, but because they added duct tape at all rough edges of the algorithms. Currently LLM and image AI is getting better too fast that we would even start at duct taping their flaws, because the next model fixes them anyway. But if the growth slows down, we will see tools that improve the use a lot without improving the underlying model.
I also neither believe in AGI, nor in us needing AGI for more than showing it is possible.