Enterprise AI Pricing Crisis: "Prepare to Be Surprised"
Josh Bersin sounds the alarm on enterprise AI costs spiraling out of control. CIOs and CHROs are already reconsidering AI strategies as consumption-based pricing catches teams off guard — one company spent half a billion dollars in a single month on Claude. With AI infrastructure investment approaching $1 trillion in 2026, the "someone has to pay" reckoning is here.
Read on Josh Bersin →Marketing Automation's Great Democratization
June 2026 marketing automation trends reveal a seismic shift: small teams now have access to AI-powered systems that once belonged only to enterprise marketing departments. No-code and low-code tools let non-technical teams create branching journeys, AI-assisted content flows, and dashboard automations faster than ever. Gartner expects 70-75% of new enterprise apps to be built on low-code by end of year.
Read on Mean CEO →Salesforce: CDPs Must Serve the Whole Business
Major analyst shift on CDPs: they're no longer just marketing tools. Salesforce's competitive intel reveals analysts now asking whether platforms actually shape end-to-end lifecycle experiences or just improve ad targeting. As AI becomes central to customer engagement, CDPs must support decisions across growth, retention, service, and sales — not just campaigns.
Read on Salesforce →Meta Aims for Full Ad Automation by Late 2026
Meta's roadmap crystallizes: the company targets fully automated advertising by year-end, with AI handling creative, targeting, and optimization as a unified system. The platforms no longer separate AI from advertising — they're merging into one. PMMs should prepare for a world where "running campaigns" means training algorithms, not adjusting settings.
Read on 365 Outsource →Top AI Advertising Companies to Watch
Improvado drops a comprehensive breakdown of the AI advertising landscape. AdCreative.ai compresses creative development from days to minutes. The pattern: two-person marketing teams now produce at agency scale. But the deeper insight is about data pipelines — when APIs change, historical data preservation becomes the real competitive moat.
Read on Improvado →💡 My Take
Read this one: The Josh Bersin piece on AI pricing. This is the reality check the industry needs. When infrastructure investment approaches $1 trillion and companies need 15% compound returns, someone pays — and that someone is enterprise software buyers. The CIO quote about "preparing to be surprised" by bills should be required reading for every PMM building AI business cases. Demo pricing ≠ production pricing.