Simply offering the latest model is no longer a competitive advantage. True value is created in the system built around the model—the system prompts, tools, and overall scaffolding. This 'harness' is what optimizes a model's performance for specific tasks and delivers a superior user experience.

To avoid vendor lock-in in the rapidly evolving AI landscape, CMOs must adopt a new evaluation framework for technology. Prioritize platforms that are LLM-agnostic to leverage the best models, open source for easy integration, and composable to allow for flexible, orchestration-friendly workflows as needs and technologies change.

The key for enterprises isn't integrating general AI like ChatGPT but creating "proprietary intelligence." This involves fine-tuning smaller, custom models on their unique internal data and workflows, creating a competitive moat that off-the-shelf solutions cannot replicate.

The rise of AI agents introduces a new strategic layer for marketers. They must now decide when to buy out-of-the-box agents, use workflow tools for assembly, or custom-build agents for niche, proprietary tasks. This "build vs. buy" competency is becoming a key marketing differentiator.

While consolidating tools seems efficient, using specialized, best-in-class AI agents for each GTM function (one for outbound, one for inbound) yields superior results. The depth and focus of specialized tools enable more powerful and nuanced use cases, justifying the management overhead of multiple systems.

The decision to build or buy software has evolved. Companies should buy commodity infrastructure (e.g., dialers, CRM plumbing) but must own the "intelligence" layer—the unique business logic for things like ICP definition or lead scoring. This allows for customization and portability, preventing vendor lock-in.

Core GTM tactics like outbound, events, and content marketing remain highly effective for AI companies. The failure isn't in the plays themselves, but in using outdated, generic playbooks. Success comes from applying these same plays with more intelligence, scale, and AI-driven personalization.

To combat generic AI outputs that give competitors the same ideas, Mailchimp's ChatGPT app combines the model's power with its 22 years of campaign data plus the user's specific account data. This fusion creates bespoke, defensible campaign plans that generic AI cannot replicate.

Companies are consolidating their tech stacks by replacing dedicated ABM platforms like Sixth Sense with flexible orchestration tools like Clay. Clay's ability to pull intent signals, enrich data via waterfalls, and push to ad audiences allows teams to build custom ABM engines, often for less cost.