McKinsey and General Catalyst Leaders Declare End of 'Learn Once, Work Forever'

If one idea united the keynote speakers at CES 2026, it's that artificial intelligence is transforming technology at a pace and magnitude unmatched by any prior revolution.

During a live recording of the All-In podcast on Tuesday, co-host Jason Calacanis spoke with McKinsey & Company's Global Managing Partner Bob Sternfels and General Catalyst CEO Hemant Taneja. Their conversation explored AI's profound impact on investment approaches and the future of work.

"The landscape is fundamentally different," Taneja remarked, reflecting on the explosive rise of AI firms. He pointed out that while Stripe needed roughly 12 years to achieve a $100 billion valuation, Anthropic—another General Catalyst portfolio company—jumped from $60 billion last year to "a couple hundred billion dollars" this year.

Taneja is convinced we are approaching a new era of trillion-dollar corporations. "This isn't a far-fetched notion when you consider Anthropic, OpenAI, and a few others," he stated.

Calacanis pressed the experts on the catalyst for this meteoric growth. Sternfels of McKinsey observed that while many firms are piloting AI tools, non-technology businesses are still hesitant to fully commit. He noted a common dilemma McKinsey consultants hear from CEOs: "Should I follow my CFO's advice or my CIO's right now?"

Sternfels explained that CFOs, observing minimal ROI, often advocate for postponing adoption. In contrast, CIOs warn it would be "reckless" not to embrace AI, fearing inevitable disruption.

A major point of discussion was AI's effect on employment. "Many people view AI with apprehension," Calacanis said, highlighting worries that AI might displace entry-level positions typically held by new graduates. He sought guidance from Sternfels and Taneja on how young professionals can navigate this shifting terrain.

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Secure your spot on the Disrupt 2026 waitlist for priority access to Early Bird tickets. Previous Disrupt events have featured industry giants like Google Cloud, Netflix, Microsoft, Box, Phia, a16z, ElevenLabs, Wayve, Hugging Face, Elad Gil, and Vinod Khosla. They're among over 250 leaders who have driven 200+ sessions designed to accelerate your growth and competitive advantage. You'll also connect with hundreds of pioneering startups across all industries.

Sternfels emphasized that while AI models can execute numerous functions, human success in an AI-driven world will still hinge on sound judgment and creative thinking.

Taneja added that individuals must accept that continuous "skilling and re-skilling" is now a lifelong necessity. "The old model of learning for 22 years and then working for 40 is obsolete," he asserted.

Calacanis concurred, noting that in an era where developing an AI agent might be quicker than training a new hire, staying relevant is crucial. "To differentiate yourself, you'll need to demonstrate initiative, determination, and genuine passion," he advised.

Sternfels offered a preview of this future. He anticipates McKinsey will deploy as many personalized AI agents as it has employees by late 2026, but he clarified that overall headcount may not shrink. Instead, the firm is realigning its workforce, increasing client-facing roles by 25% while reducing equivalent back-office positions.