#go-to-market

Go-to-market strategies are rapidly evolving as AI adoption reshapes labor dynamics and customer engagement. With rising demand for roles like forward-deployed engineers and shifts in pricing models, companies must adapt quickly. This creates timely angles for content on hiring trends, AI's impact on sales, and bridging product-customer gaps.

Content hooks for #go-to-market

  1. If you’ve never heard of a forward-deployed engineer, your company is already behind on AI deployment.
  2. The hottest engineering job right now is also the one engineers least want—here’s the disconnect.
  3. Everyone wants ‘AI in production.’ Nobody wants the job that actually gets it there.
  4. If AI is ‘capital,’ then your paycheck just got priced like a commodity—here’s why.
  5. Everyone is talking about productivity. Nobody is talking about who captures it.
  6. Seat-based pricing made sense in 2015. In 2026, it’s a tax on customers.

Ready-to-post tweets

Forward-deployed engineers (FDEs) are in demand because enterprises don’t want AI demos—they want deployments. But candidates aren’t applying because the role is often undefined. Define the charter or lose the talent.

Hot take: If your company needs an FDE to make the product usable, your integrations *are* the product. Invest accordingly.

Sam Altman’s point is blunt: AI shifts power from labor to capital. Translation: more output per worker, but the gains may flow to owners of models, compute, and distribution. What’s your plan if “headcount” becomes “compute budget”?

Seat-based SaaS pricing is on borrowed time. If AI does the work, why pay per user? Usage/outcome pricing will eat seats—especially in support, sales ops, and content workflows.