Is Al Turning the Marketing Business Upside Down?
You can hire faster, automate deeper, and scale wider than ever before. But are you still trusted, remembered, and truly differentiated?
TL;DR: What I’m Watching Closely Lately
If you’re a founder, CMO, or investor paying attention to GTM strategy in the AI era, here are four shifts I’m watching closely:
Agent-based orgs are coming - According to the CMO at Google Cloud.
Prompts and agents are now IP.
Content is infinite. Attention is rare - Creation is easy; distribution is the game.
AI amplifies. Humans differentiate - AI doesn’t replace strategy; it reveals who has it.
The new GTM stack isn’t about tools - it’s about how we operate
The conversation is no longer about what ChatGPT can do. It’s about how AI is reshaping the structure of go-to-market teams—and which startups are already leveraging that shift to gain unfair speed, focus, and reach.
Here are four trends I believe will define the next generation of high-leverage GTM orgs.
1. Agent-based orgs are already in play
A few weeks ago, I sat in on Google Cloud’s keynote at the RAISE Summit in Paris - a gathering of founders, investors, and operators driving AI into enterprise workflows. The Google Cloud CMO showed something that hit me: an org chart for a modern marketing team. Only it wasn’t filled with titles like “Demand Gen Manager” and “Content Strategist.”
It was agents.
Yes - agents managing campaign orchestration, SEO optimization, pipeline forecasting, website personalization, and even executive ghostwriting. Each “agent” was narrowly scoped, deeply integrated, and powered by a model tuned for its function.
That moment crystalized something that had been floating in the background for a while: we’re no longer just adding AI to our workflows. We’re building the workflows around AI.
This is the beginning of the agent-based marketing organization — and it’s approaching faster than we think. We’re not there yet, but agent-based orgs will outscale traditional ones - not because they hire more, but because they automate better. If you’re still thinking of AI as a set of assistants to help your team, reframe it: what does your org look like if 30% of your team is autonomous?
2. Prompts & agents are fast becoming core IP
Dan: “..The Cora team, which is Kieren and Nityesh, basically..”
Lenny, the host: “that’s the team, two people?”
Dan: “Well, with Cora, it’s Kieren, Nityesh and 15 Claude code instances, so it’s more powerfull than you think”
This is what Dan Shipper from Every recently said on Lenny Rachitsky’s podcast. Every (every.to) is a digital publication focused on technology, AI, and productivity. It offers essays, podcasts, guides, and newsletters that help readers stay updated on tech and work trends. Their model is very interesting.
OK, let that sink in for a second. Your agents are now a core business asset. How you prompt determines what is produced, how it sounds, and whether it resonates. How you develop your agents determines their competitive advantage, operational efficiency, and brand consistency at scale.
It’s stealth IP — and most companies aren’t even aware they’re building it.
And he’s right. The real value isn’t the output - it’s the intelligence behind the input. Prompts and agents are becoming the glue of high-performance teams: codified instructions that drive consistency, clarity, and scale.
Best-in-class startups are already building internal prompt libraries. They’re refining, testing, and version-controlling prompt stacks the same way they treat product code. In this world, prompts aren’t throwaway text—they’re assets.
This is where GTM differentiation will live next.
3. Content is infinite. Attention is not.
your brand can’t afford to sound like ChatGPT.
Let’s not pretend this is just about automation. We’re reaching functional parity. Everyone has access to GPT-4, Claude, and Gemini. Everyone can generate high-quality blogs, sales sheets, and landing pages in seconds.
You can now ask, “Give me 10 angles for a cybersecurity email campaign targeting a CISO at a healthcare startup,” and get a solid answer that’s 70% useful. With the right context, maybe 80%.
But here’s the problem: everything is starting to sound the same. Generic. Over-optimized. Polished but predictable.
Most startups haven’t adapted. They’re still churning out blog posts and LinkedIn content with no editorial spine or strategic POV.
The companies that win treat content like product:
Clear narrative
Measurable velocity
Tight feedback loops
Distribution as an engine, not an afterthought
Why It Matters in Your Market
If you’re building in enterprise tech, cybersecurity, or anything B2B where stakes are high and trust is everything - your brand can’t afford to sound like ChatGPT.
Trust is human. AI can create velocity, but it can’t build credibility with your audience.
4. AI amplifies execution. But humans still set direction.
The real edge is not tied to team size or production scale.
It’s about intentional human curation and judgment at any scale.
Exceptional work - whether by one person or a hundred - requires purposeful choices. It’s about what you decide to amplify, what you consciously leave out, and how well you infuse your unique voice and insight into every piece of content and strategy.
For me, “human made” isn’t about polish or budget—it’s about meaning. It’s the deliberate act of saying something that actually matters.
That’s the real moat.
Because AI might amplify your message, but only human judgment decides what’s worth amplifying.
Especially in High-Trust Categories — Like Cybersecurity
In markets like cybersecurity, AI, fintech, trust is the product.
A CISO doesn’t buy from you because your onboarding email was dynamic. They buy because they believe you know what you're talking about, they trust your people, and your voice cuts through the noise.
Try building that with AI-only outputs..AI will get you seen, maybe even clicked. But it won’t get you believed.
The next generation of marketers, founders, and product leaders won’t win because they automate. They’ll win because they know what to automate -and why.
What CEOs and VCs Should Be Asking Right Now
Are we building an agent-based org by accident—or by design?
Have you mapped which functions could be agent-run? Have you considered the second-order effects: management, governance, customer onboarding?Is your team agent-literate—and are you treating prompts as strategic IP?
Who owns your best prompts? Are they documented, versioned, tested? Do you even know which ones are performing best?If AI amplifies everything — what’s it actually amplifying in your org?
If your strategy is vague or your messaging is flat, AI will just help you push it faster and further into irrelevance.Where are you still human — by design — not because you haven’t caught up?
What are you intentionally not automating? Those might become your differentiated brand assets.If your content disappeared, would anyone miss it?
Increasing output is easy. Resonance is rare. Are you creating signal, or just more noise?
Final thought: Don’t chase the stack. Own the signal.
We’re in one of those moments where the future is tilting. The playing field isn’t just leveling, but being redrawn.
Yes, AI is reconstructing how we build. But your human edge remains the only true moat.
So here’s my ask to you, fellow builders and backers: Use AI to scale, to accelerate, to cover more ground. But don’t lose your signal in the noise.
Don’t lose the part of your brand - your voice, your beliefs, your taste - that people actually remember.
The best companies won't just sound smart. They’ll sound real.