The ROI of frontier AI models is a topic of hot debate in corporate America right now, primarily centered on the cost of compute. To understand what other dynamics might be at play, we did what we do best: we asked the American public.
In a poll fielded this week, 34% of workers say their workload has increased since their company started using AI, including 10% who say it’s increased significantly.
There are many factors that could be driving this. It could be that AI is not yet generating meaningful productivity gains on the individual level, or that the time saved by AI is used to complete even more work. Perhaps workers are taking on more work if their teams have reduced headcount. Respondents said the added workload comes mostly from managing and checking AI output – reviewing drafts, catching errors, and re-doing work the model got wrong. It’s the unglamorous labor of quality control, and right now, it appears to be landing squarely on employees’ shoulders.
Interestingly, it’s not a story of frustration or distrust. Among workers who say AI has changed their job, 88% call that change positive. Put together, the data suggests companies may be in an early training period, where the labor costs required to teach AI are currently more significant than the costs saved by the technology. What’s more, workers seem to sense that the tradeoff is worth it.
As business leaders race to deploy AI, they may want to consider how they’re rewarding workers for the extra elbow grease that’s making that transformation possible.
Be well,
Martin
57% of institutional investors and analysts believe AI will have a negative impact on the environment.
Axios reports that Google DeepMind CEO Demis Hassabis is calling on the U.S. to establish an AI watchdog group comprising world-class technical experts.
Meanwhile, Common Sense Media finds Google’s AI search failed safety tests and scored poorly on seven of the organization’s eight AI safety principles.
CNBC investigates former Meta employees’ accusations that the company unfairly used AI in recent layoffs.
New York became the first state to put a temporary ban on data centers until standards are created that address environmental impacts, energy demands, water usage, and other factors. NBC News has the story.
A group of economists from Stanford’s Digital Economy Lab released a statement calling for urgent preparation for the economic impacts of powerful AI models. The statement has been signed by over 200 economists including 16 Nobel laureates and the chief economists of OpenAI and Anthropic.
Covista and the Covista Foundation committed $10 million and 50,000 volunteer hours to build and sustain the healthcare workforce over the next five years.
Gallup finds that confidence in U.S. institutions remains near all-time lows.
Fortune reports that the growing national debt may result in a smaller job market with lower wages for Gen Z in particular.
This chart comes from Gallup and looks at Americans’ confidence in large technology companies. Among the institutions rated this year, large technology companies experienced a surge in Americans expressing very little or no confidence.
