Cofounder of Women in Cloud. I influence brands and entrepreneurs to build thriving ecosystems through GTM strategies and partnerships.
getty
Imagine two developers arriving in a fast-growing city at the same time. The first buys the best plot of land they can find, builds a beautiful building and fills it with tenants. The second does something different: They design roads, lay water pipes, write zoning codes and build the infrastructure every future building will depend on.
Twenty years later, the first developer owns one great building. The second owns the city. That is the difference between traditional go-to-market (GTM) strategy and market architecture. Most companies are still buying plots. The companies defining the AI era are building the pipes.
That is what OpenAI, Databricks and a handful of other AI-native companies did to the enterprise technology market. And most GTM leaders are still studying tactics for a battlefield that no longer exists.
For decades, GTM strategy was treated as an execution discipline: Build the product. Launch the campaign. Optimize the funnel. Scale the sales team. Repeat. That playbook worked in a world where markets were relatively stable, customer acquisition costs were manageable and brand loyalty could be manufactured with enough impressions. That world is gone.
As an ecosystem GTM expert with over 20 years of experience, I've found that the biggest GTM mistake leaders make today isn't lack of innovation. The mistake is operating with an execution mindset in an infrastructure era.
Here is the uncomfortable truth most revenue leaders won't say out loud: A linear GTM strategy is mathematically broken. According to Simplicity DX research, customer acquisition costs have risen by 222% over the last decade. The platform dominance of big tech players means you are renting access to your own customers at an ever-rising toll. AI-native competitors can spin up a product, generate content and reach your best accounts in a fraction of the time and cost.
It's not that your campaigns are bad. It's that campaigns are the wrong unit of competition. You're buying impressions in a market that rewards infrastructure. You're optimizing funnels in an era that rewards ecosystems. You're chasing leads when the real game is controlling the language, the channel and the category itself. The constraint isn't budget. It's the entire model.
OpenAI didn't just launch ChatGPT. They introduced an entirely new vocabulary—terms like "large language models," "hallucinations" and "prompting"—and embedded it so deeply into the cultural and business conversation that every competitor now speaks OpenAI's language. That is not marketing. That is narrative infrastructure.
Databricks didn't just build a data product. They popularized the term "lakehouse," a category that exists because they published the technical frameworks that made it real. Analysts now write reports about it. Competitors position against it. Enterprise buyers budget for it.
Instead of relying on a standard GTM strategy, what I like to call the "quantum GTM model" is not a funnel. It is not a campaign calendar. It is a design system for how modern revenue leaders build durable, compounding growth in markets shaped by AI, cloud and platform dynamics. It's made up of five distinct pillars:
1. Access Before Scale: Design who controls access to your customers before increasing spend. Distribution is your first product.
2. Ecosystems As Capital: Hyperscaler partnerships and marketplaces accelerate revenue. Treat your ecosystem like a balance sheet asset.
3. Distribution As A Moat: Embed yourself into customer workflows to become indispensable. Infrastructure beats campaigns every time.
4. Access Expands TAM: Unlock underserved segments through access, not messaging. Inclusion drives new market creation.
5. Narrative As Infrastructure: Own the language and own the category. Your vocabulary shapes how the market buys.
Here is a hypothetical example of what the shift looks like at the ground level: A traditional GTM strategy might involve 12 or more campaigns across events and content to drive a business' pipeline. It would have a high CAC ($18,000), with low efficiency (a 22% win rate) and heavy team effort. Growth would be linear, expensive and dependent on constant campaign execution.
In a quantum GTM situation, things are different. The company may instead build a hyperscaler-backed benchmark embedded directly into customer workflows. They would then own the category narrative as analysts cite it and buyers request it in RFPs. CAC may drop 60%, while their marketplace-driven pipeline could grow without new campaigns.
Not sure where to get started? Begin with the following:
• Audit Your Distribution Architecture, Not Your Marketing Mix: Map where your customers actually buy (marketplaces, partners, ecosystems, etc.) and assess how deeply you are embedded in those channels. Ask, "If paid marketing stopped today, how would customers still find and transact with us?"
• Manufacture Your Category Language Before Your Competitors Do: Define the problem in a way only you can own, then reinforce it with a simple framework that customers, partners and analysts adopt. Ask, "Are we describing our product, or shaping how the market thinks?"
• Expand TAM Through Structural Inclusion, Not Demographics: Grow your market by enabling underserved segments to participate through GTM programs, ecosystems and partnerships. Ask, "How do we turn this audience into builders, sellers or partners, not just targets?"
The next generation of revenue leaders will not be campaign managers who got promoted. They will be market architects who understood, before it became obvious, that the most powerful GTM move is not the one that reaches the most people; it is the one that makes your company structurally indispensable to the market infrastructure everyone else depends on.
In the AI era, we must no longer ask, "How do we grow faster?" We instead need to ask, "How do we architect a market that grows toward us?"
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