AI actually making companies more productive — or are we still waiting for the payoff?

In this mid-2026 review of enterprise AI, Sanjay Puri examines the AI productivity J-curve and what it means for businesses investing heavily in AI infrastructure, tools, talent, and transformation.

The conversation explores where companies are seeing real value from AI, why AI ROI remains difficult to measure, what the data says about AI and jobs, and why successful AI adoption requires more than deploying new technology.

Key topics include:

  • The AI Productivity J-Curve and when enterprises can expect ROI
  • AI adoption, usage and the gap between potential and actual value
  • AI and jobs, including slowing entry-level hiring and layoffs
  • Measuring AI ROI and distinguishing activity from real productivity
  • AI agents, power users and the future of enterprise work
  • Organizational transformation, reskilling and workflow redesign
  • Build vs. buy decisions for enterprise AI
  • How companies can turn AI investment into measurable business outcomes

The bigger question: Are companies actually redesigning how work gets done around AI?

Watch the full conversation for insights on enterprise AI adoption, productivity, ROI and the future of work.

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