The software business is rewriting itself. Just two months after Claude Code moved from coding assistant to autonomous builder, the market narrative flipped from questioning AI's viability to fearing its effectiveness. Nathaniel Whittemore defines this Q2 2026 shift as the AI 'second moment,' where workable agentic systems began executing, not just assisting.
The economic proof followed. Claude Code grew from $1 billion to $2.5 billion in annualized revenue in that same two-month span. On the earnings front, Figma credited AI features for accelerating its revenue growth to 46% last quarter. Meanwhile, legacy SaaS stocks like Salesforce, ServiceNow, and Workday have seen hundreds of billions in market cap vanish.
"Investors fear that AI will soon replace traditional tools like Slack or HubSpot with automated agents."
- All-In with Chamath, Jason, Sacks & Friedberg
CEOs are reacting to the pressure. Salesforce CEO Mark Benioff is launching a $50 billion stock buyback to defend his company's valuation. On the All-In podcast, he argued that AI agents will make his own company more efficient by automating business development. He also revealed Salesforce will spend $300 million this year on Anthropic tokens to power coding agents.
The business case for AI has fundamentally pivoted. Whittemore’s data shows a sharp decline - from 20% to 13% in a single month - in users citing time savings as AI's primary value. The new focus is on increased throughput and new capabilities. A nascent field called Generative Engine Optimization (GEO), aimed at controlling brand appearance in AI responses, is projected to grow from under $1 billion in 2025 to $34 billion by 2034.
"The era of using AI to save minutes is over; the era of using it to invent new business models has begun."
- Nathaniel Whittemore, The AI Daily Brief
This transition is creating a widening 'capability overhang.' While 91% of customer service departments use AI, sectors like legal and finance remain stuck in pilot phases due to data quality issues. Companies that bridge this gap are seeing compounding gains. The low-end SaaS market is essentially finished, but as Chamath Palihapitiya noted, high-end enterprise software remains safer because deploying AI at scale is harder than prompts suggest. The ultimate winners will be those who own the data and the customer relationship.


