Chamath urges GTM alignment

Chamath Palihapitiya used an April 2026 post on X to argue that companies deploying artificial intelligence need to realign sales incentives, marketing goals, and customer workflows fast. (x.com) Palihapitiya is the founder and chief executive of Social Capital and a co-founder and chief executive of 8090, an artificial intelligence company, according to his biography on All-In. Forbes reported on April 12 that he had warned companies not to confuse buying model access with building durable advantages. (allin.com) (forbes.com) Go-to-market, usually shortened to GTM in tech, covers the teams that bring a product to customers: sales, marketing, partnerships, and customer success. Articles aimed at operators have increasingly framed artificial intelligence adoption as a workflow problem inside those teams, not just a software-buying decision. (salesforce.com) (skaled.com) That debate has moved from theory to scale. OpenAI said in its 2025 enterprise report that it analyzed usage across more than 1 million business customers, and Microsoft said on its January 28, 2026 earnings call that Microsoft 365 Copilot had reached 15 million paid seats. (openai.com) (office365itpros.com) OpenAI’s report said enterprise usage grew eightfold year over year and use of advanced reasoning models rose more than 300-fold. Microsoft’s pricing page shows Copilot is sold as an add-on to existing workplace software, which puts pressure on managers to prove returns inside existing revenue teams. (openai.com) (microsoft.com) Anthropic and OpenAI are both pushing harder into enterprise accounts. CNBC reported on January 21 that enterprise customers made up about 40% of OpenAI’s business and 80% of Anthropic’s business, based on comments from executives at Davos. (cnbc.com) The incentive question is straightforward: if artificial intelligence automates prospecting, drafting, support, and account research, companies have to decide who gets credit for pipeline, renewals, and productivity gains. Operators writing about artificial intelligence for go-to-market teams have described the same problem as a shift from isolated tools to shared workflows. (martech.org) (smarte.pro) Palihapitiya has been making a broader version of that case for months. His Substack archive shows repeated essays in 2026 on artificial intelligence infrastructure, enterprise adoption, and the economics of new software markets. (chamath.substack.com) His latest warning lands as the biggest model companies chase the same corporate budgets and promise measurable output. The harder part, and the part Palihapitiya singled out, is not turning on the models but deciding how the people using them get paid. (x.com) (cnbc.com)