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  "documentTitle": "Insights from the leading edge of generative AI adoption",
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  "notes": "Figure 10. Data source: Q: What level of effort is your organization taking regarding the following workforce-related areas? (Oct./Dec. 2023) N (Total) = 2,835",
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      "text": "Deloitte's experience suggests that most organizations have yet to substantially address the talent and workforce challenges likely to arise from large-scale generative AI adoption.",
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      "text": "Grouped bar chart showing effort levels across three categories: Recruiting, Educating, and Reskilling, segmented by expertise level.",
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      "text": "Effort level: 74%",
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      "text": "Against this backdrop, some respondents reported making a high or very high effort to: recruit and hire technical talent to drive their generative AI initiatives (42%), educate the workforce about generative AI (40%), and reskill workers impacted by generative AI (36%). Those numbers are much higher for leaders who viewed their organization's generative AI expertise as very high (74%, 74% and 73%, respectively) (figure 10).",
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      "text": "Now: Key findings",
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      "text": "It should be noted, however, that these reported workforce-related efforts might be limited in scope. Deloitte's experience suggests that most organizations have yet to substantially address the talent and workforce challenges likely to arise from large-scale generative AI adoption. A likely reason for this is that many leaders don't yet know what generative AI's talent impacts will be, particularly with regard to which skills and roles will be needed most.",
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      "text": "Figure 10 | Q: What level of effort is your organization taking regarding the following workforce-related areas? (Oct./Dec. 2023) N (Total) = 2,835",
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      "text": "Preparing workforces for generative AI: Respondents making a high or very high effort in the following areas.",
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