Ravi Kumar is one of the clearest voices on why AI will create more jobs than it replaces—which is surprising, because he's the CEO of a $35 billion company where machines already write a quarter of the code.

He's not guessing. At Cognizant, the bottom 50% of his workers gained 37% productivity from AI. The top 50%? Only 17%. AI isn't replacing the bottom—it's lifting them up faster than anyone else.

In this conversation, Ravi and Connor dig into what most AI conversations miss: why entry-level jobs might actually expand, not disappear. Why "problem finders" will matter more than problem solvers. And why the old model of education → work → retire is already broken and in desperate need of disruption.

For anyone anxious about AI and the future of work, this is the conversation you didn't know you needed: a leader who sees what's coming and can actually explain where the opportunities are.

Chapters

00:00:00 You're not competing with AI, you're competing with people using AI
00:01:27 From worst student to nuclear physicist to CEO
00:03:03 Leading through influence, not control
00:05:47 Betting on unconventional talent and upward mobility
00:08:25 Rethinking education — Learning, working, and earning together
00:11:18 AI as equalizer — The bottom gains more than the top
00:14:05 Jobs won't disappear — They'll multiply
00:15:58 The training crisis and velocity of change
00:18:27 Code generation and the agentic future
00:23:00 Amplify humans, don't replace them — A counter to Turing
00:31:21 Corporate responsibility and the Synapse Initiative
00:34:16 What keeps him up at night — Regulation, inequality, and the race
00:38:55 Corporations as platforms for societal change
00:40:41 Advice for the next generation — Master interdisciplinary thinking