Reorganize or Fall Behind: The Real Race in The AI Decade | KPMG - BRIAN HEGER

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A new 26-page report from KPMG and Nasscom finds that while most organizations have invested in AI pilots, tools, and training, few have fundamentally changed how work is organized, decisions are made, or value is created. While there are various suggestions in this report for addressing this challenge, one section I want to highlight: redesign first, reskill second. It points to the issue that organizations often train people on AI tools before redesigning the work itself, when it should be the reverse. Here are a few questions I’d use to pressure-test any reskilling effort underway or in planning: What specific changes to how work is performed are driving this reskilling? What evidence supports these changes (data or speculation)? Are we reskilling people for roles/work as they exist today, or how they will be in the future? To help guide some of these discussions, I’ve previously shared a few related resources that might help: the World Economic Forum’s report on redesigning core workflows around AI, HBS Working Knowledge’s interactive tool for checking whether a specific occupation is more likely to be enhanced or eliminated by AI, OpenAI’s AI Jobs Transition Framework for classifying how specific jobs are likely to change, and Anthropic’s Labor Market Impacts of AI report on where AI usage is and isn’t showing up yet. These are just a few of the many resources I have covered here on brianheger.com.