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  1. The State of AI: Global Survey 2025 | McKinsey

    2025年11月5日 · In this 2025 edition of the annual McKinsey Global Survey on AI, we look at the current trends that are driving real value from artificial intelligence.

  2. AI problems and promises | McKinsey

    2018年10月15日 · Artificial intelligence promises considerable economic and societal benefits, even with AI problems like disrupting the world of work and necessary progress. McKinsey discusses three …

  3. AI in government: Capturing the potential value | McKinsey

    2022年7月25日 · Below, we share three steps to measure the potential impact of AI in a country, and we examine how this could play out in a handful of countries. We also review a range of initiatives that could help governments overcome current challenges and capture this value throughout their …

  4. Alongside the economic benefits and challenges, AI will impact society in a positive way, as it helps tackle societal challenges ranging from health and nutrition to equality and inclusion.

  5. How generative AI in agriculture could shape the industry | McKinsey

    2024年6月10日 · With thousands of practitioners at QuantumBlack (data engineers, data scientists, product managers, designers, and software engineers) and McKinsey (industry and domain experts), …

  6. Transforming healthcare with AI: The impact on the workforce and ...

    2019年3月10日 · Building on automation, artificial intelligence (AI) has the potential to revolutionize healthcare and help address some of the challenges set out above.

  7. The real-world potential and limitations of artificial intelligence

    2018年4月25日 · There have been many exciting breakthroughs in AI recently—but significant challenges remain. Partner Michael Chui explains five limitations to AI that must be overcome.

  8. The future of AI for the insurance industry | McKinsey

    2025年7月15日 · The use AI for the insurance industry has been a gamechanger. We look at what’s next for the future of insurers when it comes to artificial intelligence.

  9. Strategies for AI adoption in the public sector | McKinsey

    2024年5月22日 · There are three key challenges that economic development leaders should be aware of when adopting AI: securing the right data, attracting talent, and gaining public trust.

  10. Embracing generative AI in credit risk | McKinsey

    2024年7月1日 · With thousands of practitioners at QuantumBlack (data engineers, data scientists, product managers, designers, and software engineers) and McKinsey (industry and domain experts), we are working to solve the world’s most important AI challenges.