Beyond The ‘Build Versus Buy’ Trap: Agentic Orchestration's Role In The Future Of GTM
✨ AI Summary
🔊 جاري الاستماع
InnovationBeyond The ‘Build Versus Buy’ Trap: Agentic Orchestration's Role In The Future Of GTMByDurga Krishnamoorthy,Forbes Councils Member.for Forbes Technology CouncilCOUNCIL POSTExpertise from Forbes Councils members, operated under license. Opinions expressed are those of the author. | Membership (fee-based)May 20, 2026, 07:30am EDTDurga Krishnamoorthy is a Product Leader focused on agentic GTM AI strategy, and scaling autonomous monetization. gettyYour brand is becoming invisible, and it’s not because your marketing is failing. It’s because many of the "eyes" looking at your products are no longer human.In a world where personal AI agents (not people) are deciding which organic milk is the freshest or which credit card has the best real-time yield, the traditional go-to-market (GTM) playbook is fundamentally changing. We are moving from an era of brand awareness to an era of agentic preference.For the executive leaders I advise, this transition has exposed a dangerous strategic flaw: the "build versus buy" trap. While organizations spend months debating whether to own their AI code or lease platforms, others are finding market success by orchestrating. The False DichotomyThe central question for the C-suite is no longer as simple as cost versus control. Increasingly, it is about which organizations can execute, adapt and scale AI capabilities most effectively in real time.For many companies, the advantage comes from a strategic hybrid approach: purchasing robust, compliant core infrastructure to provide stability and speed while building the orchestration and decision-making layers that differentiate the business. In this model, competitive value does not necessarily stem from owning every component of the AI stack, but from how effectively organizations integrate systems, data and specialized agents into business operations.That orchestration layer—the "intelligence glue"—can become a meaningful source of differentiat...





