
The poll also addresses another pressing concern: the substantial electricity demands of AI systems. About 50% of respondents view this as a major issue, with similar attitudes across political affiliations. This indicates a broader apprehension surrounding the operational costs and environmental impacts of AI, suggesting that the public is not only worried about economic implications but also the sustainability of AI technologies.
Further probing public sentiment, the poll reveals that a plurality of Americans believe AI is inherently dangerous, with 45% contending that its risks are being downplayed. Only 21% agree that AI will yield significant benefits worth the associated risks. This perspective is particularly pronounced among parents and investors, yet overall, skepticism prevails. The fear surrounding AI’s potential negative impact on society recalls historical apprehensions that accompanied technological advancements, such as the rise of personal computers.
Despite optimistic forecasts regarding AI’s economic potential, including projections that it could significantly boost global GDP, some economists present a more cautious outlook. Daron Acemoglu, a recent Nobel Prize winner, predicts only modest economic growth resulting from AI in the next decade. His view contrasts starkly with the more exuberant assessments from institutions like Goldman Sachs and McKinsey, which predict vast economic benefits. This discrepancy demonstrates the uncertainty that still surrounds AI’s long-term impact on the economy and job market.
In conclusion, while AI technology promises transformative potential for the economy, many Americans remain apprehensive about its implications for jobs and energy consumption. As AI continues to evolve, these sentiments may play a crucial role in shaping public policy and electoral discussions, particularly as we approach the 2028 presidential election. The divide between optimistic projections from leaders and cautious skepticism from the public suggests a complex landscape where the future of AI will need to navigate both technological advancement and societal concerns.