🚨 [AI Research] "The Rapid Adoption of Generative AI" by Alexander Bick, Adam Blandin & @ProfDavidDeming has MIND-BLOWING stats that should serve as a wake-up call in favor of AI regulation & governance. Check it out:
This was the 1st nationally representative survey in the US on generative AI use at work and home, and the data are sourced from the Real-Time Population Survey (RPS). According to the paper:
1️⃣ Generative AI's adoption rate is faster than PCs or the internet
"(...) generative AI has been adopted at a faster pace than PCs or the internet. Faster adoption of generative AI compared with PCs is driven by much greater use outside of work, probably due to differences in portability and cost. (...) We find an adoption rate of 28 percent in year two for generative AI, compared with a 25 percent adoption rate in year three for PCs" (page 15)
2️⃣ Extremely high adoption rate at work across a variety of occupations
"Generative AI adoption at work is highest for computer/mathematical and management occupations, at about 49 percent. Usage at work is also high for business and finance and education occupations (42 and 38 percent, respectively). However, generative AI adoption is relatively common across a range of jobs. With the exception of personal services, at least 20 percent of workers from all major occupations groups use generative AI at work. Interestingly, 22 percent of workers in “blue collar” jobs - construction and extraction, installation and repair, skilled production, and transportation and moving occupations - use generative AI at work." (page 17)
3️⃣ 0.5%-3.5% of all work hours in the US are assisted by generative AI
"We estimate that between 0.5 and 3.5 percent of all work hours in the U.S. are currently assisted by generative AI. Assuming that the productivity gains from recent experimental studies are externally valid, this suggests that generative AI could plausibly increase labor productivity by between 0.125 and 0.875 percentage points at current levels of usage, although we caution that this calculation should be considered highly speculative given the assumptions it requires." (pages 20-21)
What should we take from that? Generative AI is spreading fast across various occupations, including the potential for widespread harm, which might be difficult to control afterward. AI governance and regulation are needed now, as well as effective AI literacy efforts.
🔎 Read the full paper below.
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