AI can research markets, identify target accounts, analyze competitors, create ICPs, generate messaging, draft outreach campaigns, automate follow-up, summarize customer calls, and even build an entire GTM strategy.
What used to take weeks can now be done in hours. The productivity gains are undeniable.
This reminds me of the way companies used to approach strategy. Leadership teams would spend months developing strategic plans. Expensive consultants would be hired. Workshops would be held. Detailed presentations would be produced.
The strategy often looked impressive. Yet many failed to deliver meaningful business results. Not because the strategy was wrong. Because execution was missing.
Today, AI is creating a similar illusion in Go-to-Market. A beautifully written GTM plan is not a revenue engine.
Before you design, you have to audit
Before you can even design a successful GTM motion, you need to understand what is actually happening inside the business. That starts with an audit:
- You need to assess the health of the existing pipeline.
- You need to understand where previous wins came from.
- You need to evaluate the current sales process.
- You need to challenge your value propositions.
- You need to validate your Ideal Customer Profiles.
- You need to identify where deals are getting stuck and why.
AI can help collect and analyze this information. But experienced commercial leaders know which questions to ask, what patterns matter, and where the real opportunities and risks are hidden. Only then can you begin designing a GTM model that can scale.
Establishing the foundations
That means establishing the foundations: foundation assessment and readiness check, GTM strategy and ICP definition, clear market segmentation, qualification framework and playbook, pipeline stage definitions, exit criteria for every sales stage, sales process alignment, and revenue accountability.
Again, AI can accelerate much of the work. But someone still needs to make decisions. Someone still needs to align stakeholders. Someone still needs to make trade-offs.
The most difficult part: implementation and adoption
This is where most GTM initiatives succeed or fail. Because success is not determined by the quality of the strategy document. Success is determined by whether people change behavior.
That requires hands-on GTM execution, team coaching and development, CRM setup and discipline, forecasting cadence, KPI dashboards and measurement, pipeline reviews, performance management, and continuous improvement.
None of these activities can simply be delegated to AI. They require leadership, structure, accountability — and most importantly, they require people.
Customers still buy from people they trust, and teams still need coaching, motivation, and direction. Organizations still need leaders who can make decisions in uncertain situations.
AI can generate recommendations. AI can provide analysis. AI can increase productivity. But AI cannot create a high-performing commercial culture. It cannot build trust. It cannot inspire a team. It cannot walk into a difficult customer meeting, and it cannot create accountability.
What separates the winners
The companies that will win in the AI era will not be those that generate the most GTM plans. They will be those that combine AI-powered intelligence with disciplined commercial leadership.
The winning formula remains surprisingly unchanged: Audit → Design → Implement → Adopt → Measure → Improve.
AI can accelerate every step. But it cannot own any of them. As AI democratizes strategy creation, execution excellence becomes even more valuable.
Because while almost anyone can now generate a GTM plan in minutes, very few organizations can build a predictable revenue engine. And that is where sustainable growth is created.
I help startups and scaleups build their commercial foundation through GTM strategy, sales management and hands-on execution, so that the next VP Sales becomes a success – not an experiment.