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  1. The timelines of many experts are shorter than a century, and many have timelines that are substantially shorter than that. The majority of those who study this question believe that there is a 50% chance that transformative AI systems will be developed within the next 50 years.

  2. Jan 19, 2022 · Below, three of our experts share an inside look at the research: Michael Chui talks about the latest AI trends, Liz Grennan walks us through the complex world of AI and risk, and Kia Javanmardian explores MLOps, one of the industry's hottest topics.

  3. Apr 26, 2024 · Unease towards AI products and services saw a 13 percentage point rise from 2022, with 55% reported to feel nervous. The report also cites Pew data that states that 52% of Americans feel more concerned than excited about AI, up from 38% in 2022.

  4. The results of this year’s McKinsey Global Survey on AI show the expansion of the technology’s use since we began tracking it five years ago, but with a nuanced picture underneath.1 Adoption has more than doubled since 2017, though the pro-portion of organizations using AI has plateaued between 50 and 60 percent for the past few years.

  5. Apr 15, 2024 · Globally, most people expect AI to change their jobs, and more than a third expect AI to replace them. Younger generations — Gen Z and millennials — anticipate more substantial effects from AI compared with older generations like Gen X and baby boomers.

    • Will AI dominate the world in 2022?1
    • Will AI dominate the world in 2022?2
    • Will AI dominate the world in 2022?3
    • Will AI dominate the world in 2022?4
    • Will AI dominate the world in 2022?5
  6. Dec 6, 2022 · Our first detailed look at the AI talent picture signals the maturation of AI, surfaces the most common strategies organizations employ for talent sourcing and upskilling, and shines a light on AI’s diversity problem—while showing yet again a link between diversity and success.

  7. Sep 1, 2023 · AI is becoming more powerful and radically cheaper by the month—what was computationally impossible, or would cost tens of millions of dollars a few years ago, is now widespread.

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