Exposure to large language model output is rapidly increasing. How will seeing AI-generated ideas affect human ideas? We conducted an experiment (800+ participants, 40+ countries) where participants viewed creative ideas that were from ChatGPT or prior experimental participants and then brainstormed their own idea. We varied the number of AI-generated examples (none, low, or high exposure) and if the examples were labeled as 'AI' (disclosure). Our dynamic experiment design -- ideas from prior participants in an experimental condition are used as stimuli for future participants in the same experimental condition -- mimics the interdependent process of cultural creation: creative ideas are built upon prior ideas. Hence, we capture the compounding effects of having LLMs 'in the culture loop'. We find that high AI exposure (but not low AI exposure) did not affect the creativity of individual ideas but did increase the average amount and rate of change of collective idea diversity. AI made ideas different, not better. There were no main effects of disclosure. We also found that self-reported creative people were less influenced by knowing an idea was from AI, and that participants were more likely to knowingly adopt AI ideas when the task was difficult. Our findings suggest that introducing AI ideas into society may increase collective diversity but not individual creativity.

When most people think of the connection between technology and jobs, they think of robots and automation taking over relatively unskilled jobs like factory work. And thus, the biggest toll from these technological advances would be on already hard-hit manufacturing regions of the Rust Belt. But a new wave of developments in artificial intelligence may have a greater effect on high-skilled jobs and high-tech knowledge regions. The study by Mark Muro, Jacob Whiton, and Robert Maxim takes a close look at the potential of artificial intelligence--or AI--to automate tasks that until now have required human intelligence and decision-making. As they put it: "Unlike robotics (associated with the factory floor) and computers (associated with routine office activities), AI has a distinctly white-collar bent."

AI is set to have a big impact on high-wage, white-collar, and tech jobs, according to a new Brookings Institution study released today. The report analyzes overlap between job descriptions and patent database text, using NLP to assign each job an exposure score. "High-tech digital services such as software publishing and computer system design -- that before had low automation susceptibility -- exhibit quite high exposure, as AI tools and applications pervade the technology sector," the report reads. The AI exposure score was created by researcher Michael Webb to predict the likelihood AI will affect certain cities, regions, occupations, industries, or demographic groups, but is not designed to determine whether that impact is positive or negative. Exposure to AI could mean that the tech will likely augment or change how certain occupations work, or it could mean a higher likelihood AI will take your job.

The business world is sharply focused on AI and ready to spend generously on what it might offer. In a recent PwC survey of 1,000 business executives, 20% of respondents said that "their organizations plan to implement AI enterprise-wide in 2019." According to the 2019 Harvey Nash/KPMG CIO Survey, AI/automation use is up as a board priority by 17%. On top of that, the survey also revealed that over one-third of IT leaders worldwide believe that 20% or more of their workforce will be automated in the next five years. The AI and automation march forward is a growing and global one driven by two powerful stimuli: fear and ambition.

Robots aren't replacing everyone, but a quarter of U.S. jobs will be severely disrupted as artificial intelligence accelerates the automation of existing work, according to a new Brookings Institution report. The report, published Thursday, says roughly 36 million Americans hold jobs with'high exposure' to automation - meaning at least 70 percent of their tasks could soon be performed by machines using current technology. Among those most likely to be affected are cooks, waiters and others in food services; short-haul truck drivers; and clerical office workers. Robots aren't replacing everyone, but a quarter of U.S. jobs will be severely disrupted as artificial intelligence accelerates the automation of today's work, according to a new Brookings Institution report. 'That population is going to need to upskill, reskill or change jobs fast,' said Mark Muro, a senior fellow at Brookings and lead author of the report.