While many think it may benefit society as a whole, they find it hard to see what’s in it for them, highlighting some lessons for employers and developers.
Credit: Gorodenkoff/Shutterstock Americans, it seems, are of several minds about the hottest of hot topics this year: artificial intelligence. They’re torn between curiosity about the benefits to society and concern about its effects on their lives.
A new study from global consultancy Public First found that, while the most common emotion cited was curiosity (39%), an almost equal number (37%) said they were worried about AI. Last year, 42% cited curiosity and 32% were worried, according to the study, which was based on four nationally representative polls of adults across the US and the UK, and conducted in partnership with the Information Technology & Innovation Foundation’s Center for Data Innovation.
While awareness of AI is growing quickly, day-to-day usage is still quite low, said Jonathan Dupont, partner at Public First, in a webinar about the research. In fact, 51% of Americans said that AI is growing faster than expected, up from 42% in 2023.
ChatGPT, he said, “is now definitely a consumer brand.”
However, people’s emotions are mixed when it comes to concrete benefits for themselves and society, Dupont said: “The lowest thing they rated was actually increasing wages for workers, which suggests they think it might benefit society as a whole, but possibly cause unemployment concerns. They’re less convinced about it translating into actual day to day benefits for ordinary people.” AI at work
Although only 28% or American workers said they have used an LLM (large language model) chatbot at work, 68% of those who had done so found them helpful or very helpful, and 38% said they have become an essential tool. Overall, this group accounted for 19% of workers.
Age and gender made a big difference: Males aged 18-34 were by far the biggest users at 33%, while only 16% of females in that age group regularly use LLM chatbots at work. Almost half (48%) of workers using LLMs said they had figured out how to use the tools on their […]
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