The 'learn once, work forever' career model is ending

At the annual consumer electronics trade show, known as CES, in 2026, keynote speakers asserted that artificial intelligence is reshaping technology with a speed and scale unlike any previous technological revolution. During a live taping on Tuesday of the All-In podcast—a popular tech podcast—Bob Sternfels, Global Managing Partner of McKinsey & Company, and Hemant Taneja, CEO of General Catalyst, discussed how AI is transforming investment strategies and the workforce. Both executives asserted that the era of the learn once, work forever career model is over.

Taneja highlighted the rapid growth of AI companies, noting that while it took about 12 years for Stripe to reach a $100 billion valuation, Anthropic—a General Catalyst portfolio company—grew from a $60 billion valuation last year to a couple hundred billion dollars this year. Because of this pace, Taneja believes we are on the verge of seeing a new wave of trillion-dollar companies, pointing to Anthropic and OpenAI as examples. However, Sternfels noted that non-tech enterprises remain on the fence about full AI adoption. He explained that McKinsey consultants frequently hear CEOs ask, “Do I listen to my CFO or my CIO right now?” CFOs, seeing little immediate return on investment, often argue for delaying implementation, while CIOs claim that failing to adopt AI is highly risky due to the threat of disruption.

This corporate hesitation contrasts with the shifting reality for workers, who face a continuous need for skilling and re-skilling. Taneja argued that the traditional model where people spend 22 years learning and then 40 years working is now broken. To illustrate how professional services are adapting, Sternfels shared that McKinsey expects to have as many personalized AI agents as employees by the end of 2026. While the firm’s total headcount will not necessarily decrease, McKinsey is shifting its workforce composition. The firm is increasing the number of employees who work directly with clients by 25% while reducing back-office roles by the same percentage.

Why it matters

Executives from consulting and venture capital firms are signaling that AI is not just a tech trend but a structural shift in corporate strategy and human capital. This transition is forcing organizations to restructure their workforces and individuals to move away from traditional career paths.