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Daily Briefing

AI Roundup: What McKinsey's Global Survey reveals about AI's future


What 1,684 leaders told McKinsey about AI's future. The latest McKinsey Global Survey breaks down how corporate leaders worldwide are using generative AI. By interviewing thousands of managers and executives across the globe, McKinsey gained a 20,000-foot view on where AI is being deployed already (especially in marketing, product development, and service operations), as well as the biggest perceived risks of implementing AI (including inaccurate outputs, cybersecurity threats, and intellectual property infringement).

  • Previously: In June, McKinsey projected that generative AI could add $4.4 trillion to global GDP, 75% of which would emerge from use cases in customer operations, marketing and sales, software engineering, and R&D.

Speaking of intellectual property protections… The New York Times has updated its terms of service to prohibit AI tools from scraping its content. As Ad Week reports, publishers are increasingly seeking to protect their intellectual property from AI companies that train language models on internet-accessible content. Some publishers want to strike licensing deals that include financial compensation, fact-checking processes, and source citations.

  • Related: OpenAI, the company behind ChatGPT, has launched a new web-scraping bot called GPTBot — and they’ve provided an opt-out mechanism for websites that don’t want their content scraped.

Yes, AI can create new (but perhaps not “novel”) ideas. Another week, another study comparing the creativity of ideas generated by AI to those generated by humans. For this working paper, the authors — including several at Harvard Business School —compared human- and AI-generated ideas on “how companies can implement the circular economy.” Judges found both sets of ideas to be roughly equal in feasibility and quality, but AI solutions drove more environmental and financial value, while human ideas were more novel.

  • In case you missed it: Last week’s AI Roundup included a similar study finding that AIs outperform humans in some aspects of idea generation (speed, quality) while underperforming on novelty.

 


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