At CES 2026, industry leaders emphasized that Artificial Intelligence (AI) is reshaping technology and business at a pace unlike anything seen before. During a live recording of the All-In Podcast, co-host Jason Calacanis spoke with Bob Sternfels, Global Managing Partner of McKinsey & Company, and Hemant Taneja, CEO of General Catalyst, exploring AI’s disruptive influence on investment strategies and the global workforce.

Taneja highlighted AI’s staggering growth, comparing Stripe’s 12-year journey to a $100 billion valuation with Anthropic’s surge from $60 billion to several hundred billion in just one year. He predicted the emergence of a new generation of trillion-dollar companies, suggesting that such outcomes are not hypothetical but actively unfolding for AI leaders like Anthropic and OpenAI.

Sternfels addressed corporate adoption challenges, noting that many non-tech firms remain cautious. CEOs often wrestle with whether to heed their CFOs, concerned about immediate return on investment, or CIOs, warning that delaying AI integration is "crazy" in the face of rapid disruption. This tension underscores the strategic complexity organizations face when incorporating AI at scale.

The conversation also focused on AI’s impact on the labor market. Calacanis raised concerns about potential displacement, particularly for entry-level roles traditionally filled by recent graduates. Sternfels emphasized the enduring value of judgment and creativity, essential human skills even as AI models handle numerous tasks. Taneja added that lifelong "skilling and re-skilling" is critical, warning that the traditional model of learning for 22 years followed by decades of work is now obsolete.

Sternfels outlined McKinsey’s vision for the AI-enabled workforce. By the end of 2026, the firm expects to deploy as many personalized AI agents as human employees. While this does not necessarily reduce total headcount, it signifies a deliberate shift in workforce composition: client-facing roles are projected to grow by 25%, while back-office positions may decrease by a similar margin, reflecting a fundamental transformation in operational priorities.