Nikesh Arora on the Frontier Model Problem: Breadth vs Depth | The Future of Token Costs | Memory Becoming the Moat

Nikesh Arora is the Chairman and CEO of Palo Alto Networks, the global cybersecurity leader. Since taking over in 2018, he has transformed the company from an $18 billion market cap business into one worth more than $225BN with more than 21,000 employees globally. Previously, Nikesh was President and COO of SoftBank, where he worked alongside Masayoshi Son and helped shape the firm's technology investment strategy.

In Today's Show We Discuss:

• Why AI Token Prices Will Fall 90% — And Why That's Bullish for AI

• The Frontier Model Problem: Breadth vs Depth in AI

• Most Enterprises Are Using AI Completely Wrong

• Why AI Could Cut Marketing, HR & Finance Teams in Half

• OpenAI, Anthropic & The Most Important Valuation Question in Tech

• The Real Business Model of AI: Transaction Revenue Beats Advertising

• Why Token Prices Must Collapse

• Where Value Actually Accrues in AI: Models, Memory or Apps?

• Why Memory Becomes the Biggest Moat in AI

• Why Every Enterprise Should Be Scared Right Now

• Should Governments Regulate Frontier AI Models?

• Why Brian Armstrong's AI-First Playbook Doesn't Work Everywhere

• The Biggest AI Mistake CEOs Are Making Today

• How Nikesh Creates Darwinian Competition Inside Palo Alto

• Do AI Companies Really Need Forward-Deployed Engineers?

• Why Enterprise AI Products Still Aren't Ready

• Systems of Record vs Systems of Intelligence: The Future of Software

• Why AI Applications Will Replace Traditional SaaS Workflows

• What Nikesh Learned From Google That Still Matters Today

• From $200 and Two Suitcases to Running a $225B Company

• Happiness, Gratitude and Why Tomorrow Matters More Than Ten Years From Now