Instead of hiring a 'Chief AI Officer' or an agency, the most successful GTM AI deployments empower existing top performers. Pair your best SDR, marketer, or RevOps person with AI tools, and let them learn and innovate together. This internal expertise is more valuable than any external consultant.

Elevate Conversion Rate Optimization (CRO) from tactical to strategic by treating it like a measurement system. A high volume of tests, viewed in context with one another, provides a detailed, high-fidelity understanding of user behavior, much like a 3D scan requires numerous data points for accuracy.

Instead of guarding prototypes, build a library of high-fidelity, interactive demos and give sales and customer success teams free reign to show them to customers. This democratizes the feedback process, accelerates validation, and eliminates the engineering burden of creating one-off sales demos.

Foster a culture of experimentation by reframing failure. A test where the hypothesis is disproven is just as valuable as a 'win' because it provides crucial user insights. The program's success should be measured by the quantity of quality tests run, not the percentage of successful hypotheses.

AI's power is not in creating successful strategies from scratch, but in scaling your existing best practices. An AI agent cannot make a broken process work. First, identify what messaging and campaigns are effective, then use AI to execute them at a near-infinite scale, 24/7.

Chess.com's goal of 1,000 experiments isn't about the number. It’s a forcing function to expose systemic blockers and drive conversations about what's truly needed to increase velocity, like no-code tools and empowering non-product teams to test ideas.

In AI-native companies that ship daily, traditional marketing processes requiring weeks of lead time for releases are obsolete. Marketing teams can no longer be a gatekeeper saying "we're not ready." They must reinvent their workflows to support, not hinder, the relentless pace of development, or risk slowing the entire company down.

To maximize AI's impact, don't just find isolated use cases for content or demand gen teams. Instead, map a core process like a campaign workflow and apply AI to augment each stage, from strategy and creation to localization and measurement. AI is workflow-native, not function-native.

Spreading excellence should not be like applying a thin coat of peanut butter across the whole organization. Instead, create a deep "pocket" of excellence in one team or region, perfecting it there first. That expert group then leads the charge to replicate their success in the next pocket, creating a cascading and more robust rollout.