Seventy-one percent of Americans believe artificial intelligence (AI) development is progressing too quickly, according to a new YouGov poll published by The Economist. The poll indicates that 51% of respondents feel the pace of AI evolution is faster than they expected.
Concerns are rising regarding AI’s impacts on the workforce, particularly for low-paid workers who may face job displacement, while high earners and technology companies are perceived to benefit more. The findings also suggest that 64% of respondents doubt that the benefits of AI will be widespread, with only 8% believing it is “very likely” that everyone will benefit.
In another aspect of the research, a Quinnipiac University poll revealed that 63% of Americans expect AI to reduce job availability in the future, alongside a mere 35% expressing trust in the technology. Moreover, 55% of families with a combined income of $50,000 or less reported being worried about job replacement due to AI.
The study also notes significant resistance to working under AI supervision, with 80% of respondents indicating they would not accept jobs where AI agents serve as direct supervisors. There is a prevailing sentiment among the population that businesses and the government must enhance transparency and regulation concerning AI technologies; 76% feel that companies are insufficiently transparent, while 74% believe the government should take more regulatory action.
Associate Professor Tamilla Triantoro acknowledged that Americans are not outright rejecting AI, but they express concerns about uncertainty, lack of trust, and insufficient regulation. Axios pointed to an emerging “AI hate wave,” driven by fears of job losses and socioeconomic impacts stemming from escalating wealth concentration and environmental issues.
Significant local opposition against data center projects has also surfaced due to concerns related to high water usage, power demands, and infrastructure strain, which has led to increased utility costs. Former President Trump previously urged technology companies to “pay their own way” to alleviate potential burdens on American citizens.
The findings highlight a growing unease regarding the relationship between rapid AI innovation and regulatory frameworks. Experts suggest that businesses need to prioritize earning public trust, which may require sacrificing certain aspects of innovation while governments face mounting pressure to address the socioeconomic impacts of AI.
