New York’s Workforce Revolution: Generative AI to Propel Job Growth and Innovation

New York is positioned to undergo a complete transformation in its labor market, with generative AI (gen AI) technology leading the way. A recent analysis published by Mckinsey & Company predicts that by 2030, the state could see as many as 1.1 million “occupational shifts,” in the New York region, with around 380,000 of these driven by the integration of gen AI technologies. Unlike previous waves of automation, gen AI is expected to augment jobs rather than replace them — offering a unique opportunity to enhance productivity and stimulate economic growth. Mckinsey also estimates that during that same period, overall net employment in the New York region will grow 1.8 percent. Gen AI tools and programs, like ChatGPT or Google’s Bard, are not just about job automation. According to Mckinsey’s report it’s also about finding new ways to help the region’s workforce move to “higher-value roles and unleash creativity.” The report’s data reveals that Gen AI has the potential to address the New York region’s worker shortages and lead individuals into more productive roles — which could contribute to a one percentage point rise in labor productivity annually. However, the transition to a gen AI-enhanced economy will require strategic collaboration from leaders and policy makers. The report suggests that Government entities, academic institutions, and private sector leaders should provide necessary training, invest in AI education, and ensure ethical deployment of AI technologies for the workforce. By managing the challenges and opportunities presented by gen AI effectively, New York could be positioned to set a national example in the U.S. for successfully navigating the future of work. To fully harness the benefits of gen AI while preparing for occupational shifts, proactive engagement from all stakeholders is essential. The concerted effort will help mitigate any adverse effects on the workforce and ensure that New York remains at the cutting edge of innovation and economic development.