.@Benioff's somewhat contrarian take on AI budgets: 👉"If you have a standalone 'AI budget,' you're doing AI wrong." After 2+ years of GenAI hype, most companies have still failed with AI initiatives. Why? They're treating AI as a separate technology project instead of embedding it into line-of-business accountability. Real example: RBS had incredible AI team + PhD researchers but wasn't getting value. Breakthrough came when they stopped funding "AI projects" and started holding their wealth management and call center teams accountable for AI-driven business outcomes. Marc's insight: AI budgets should live where the impact happens—sales teams measured on AI productivity gains, service teams on efficiency improvements, ops teams on cost reductions. Standalone AI budgets = no business accountability = science experiments that go nowhere. Winners embed AI so deep into operations it becomes invisible infrastructure for superior performance. The great AI budget migration is underway.