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Incisive piece by the The New York Times Steve Lohr on first of its kind research by The Burning Glass Institute and SHRM on the likely impact of Generative AI on employment. Initial analyses, including our hear at Harvard Business School Project on Managing the Future of Work have identified important a number of likely outcomes. This report drills down deep, confirming many of those hypotheses. The core of the report is The Burning Glass Institute identifying the 200 occupations that are most likely to be affected by Generative AI (GAI). It isn't going to wipe out jobs wholesale. GAI will displace some tasks altogether and speedup others. It will make people more productive-- a huge boon to the U.S. economy, given lackluster productivity growth in recent years. That productivity growth will lead to companies reducing their staff or hiring needs. The biggest impact will be on classic, white collar jobs-- marketers, business and financial analysts, supply chain managers and purchasing agents, auditors, attorneys, etc. Industries will be affected asymmetrically with professional services, banking and tech. In some industries that will be less affected, specific competitors may be more vulnerable. A retailer like Tiffany's might only restructure marginally; a retailer like Williams-Sonoma with a significant web presence much more so. So, what should executives do? One, develop a strategy. Huge value is on the table and, if your competitors get out in front of you, the consequences will be significant. Companies that slide down the learning curve faster have the prospect of gaining a significant, even insurmountable data-drive advantage. Two, start demystifying GAI for your workforce. Too many companies are holding their cards close to their vests. Left to their own imaginations, workers are increasingly likely anxious and skeptical. That will undermine future reskilling initiatives. Three, start thinking about future job design. If GAI is going to unburden many white collar workers of 40%, 50%, even 60% of their current tasks, what should they be directed to do. What upskilling or reskilling should we be undertaking? How should job descriptions change? What about incentives and metrics? Start probing these questions now, don't wait and find yourself trying to change the engines on the plane while you're flying at 30,000 ft. Four, use tools like this to evaluate your organization's current design. How much disruption is coming your way? How can you start preparing for it now, such as reining in hiring for positions that are likely to be substantially transformed in the next year or two. Five, revisit your talent pipeline strategies. Where will the talent you need in the GAI world come from? Seems implausible that your talent suppliers from the pre-GAI world will all be perfect fits for the what's coming. #artificialintelligence #workforcetransformation #generativeai