What if your next biggest competitor is not another vendor, but Claude Code deciding your category does not need to be bought at all? This piece looks at how coding agents are starting to shape technical vendor selection, why that changes GTM, and what B2B software and AI companies need to do now to avoid getting bypassed before a salesperson ever gets involved.

The agency model is splitting. Some holdcos are evolving into integrated operating companies built on data, platforms, and AI. Others remain loosely connected portfolios of services. As media becomes automated and margins compress, the winners will be those who own the infrastructure behind marketing — not just the execution in front of it.

Most B2B software and AI product launches fail due to weak go-to-market execution—not product quality. Companies struggle to translate value into a clear story, target audience, and proof, creating “GTM slop.” Success requires strong narrative, alignment across teams, focused ICP, and real market readiness—not just campaigns, content, or hype.

Customer Data Platforms are entering a new phase — not convergence, but fragmentation. This article explores four emerging futures for the CDP: the Agentic Control Plane, the Intelligent Marketing Platform, the Unified Experience Stack, and the AI-Ready Data Layer. Each reflects a different vision for how AI, data, and marketing operations will evolve—and what role the CDP may play in the years ahead.

For fifteen years, advertising has revolved around real-time auctions. But as agentic AI and protocols like AdCP emerge, machines can now reason, remember, and negotiate—not just bid. This shift could move value upstream into continuously negotiated, agent-to-agent deals, relegating open exchanges to clearing remnant supply. The result: a market defined less by speed and auctions, and more by automated, machine-executed negotiation.