Marketing is saturated with buzzwords. And I’m as guilty of it as anyone.
Every time a new technology appears, marketing seems to invent a new buzzword for it or a new discipline within a discipline. When search engines appeared, we invented SEO. When social media started to get traction, we invented social media managers and influencers. So it’s not really surprising when AI comes along that marketing also wants to jump on the bandwagon.
We’ve had marketing automation for years. However, AI ads take this to a different level. For example, I watched a solo marketer ship more in one month than most five person teams ship all year.
Everyone knows small teams get more done. And there is no team smaller than a single marketer. The Ringelmann Effect proved this a century ago that as team size increases, individual productivity drops. Add Brooks’s Law where adding people to a late project makes it later. Headcount creates drag and headaches. Ask any team leader.
A few years ago solo developer went from a meme to a movement. Now it’s happening to marketing.
For along time every startup marketing team has looked the same. A copywriter to write the landing pages. A designer to make them look nice. A media buyer to run the experiments. An analyst to tell you what you’re doing wrong. Then you’d all awkwardly join daily stand-ups where people make excuses and blame each other for whatever wasn’t working. That was the playbook. Expensive and slow. A single campaign took a month to launch, and somehow that counted as lean.
Now? You can replace most of that team with workflows.
One marketer with the right tech stack can:
Build and launch a microsite with custom content for 5 ICPs
Auto-generate cold emails based on scraped content, tone-matched to each lead
Capture competitor ad copy and test 100 better versions in minutes
Launch a campaign across email, social, and landing pages by tomorrow
Map conversion data across user segments without bothering your data team
This might be the org chart of the future. Everyone below user will be an AI agent.
What changed?
Three things clicked into place:
AI tools got usable – not just for writing, but for workflows, micro saas, visuals, audience research.
Automation isn’t just for engineers anymore – with tools like n8n and Make, anyone can build logic-based flows.
Custom tools are fast and cheap to create – think weekend MVPs, not month-long sprints.
A recent McKinsey report estimates that generative AI could contribute up to $4.4 trillion in annual global productivity, with marketing and sales functions poised to capture a significant portion of this value.
This all means execution speed isn’t controlled by headcount anymore.
Most startups are still hiring for the old marketing org chart. I covered this exact mistake in Why This $150K Startup Marketing Hire Failed, where founders bet on headcount instead of systems.
Meanwhile, skilled solo marketers are building stacks that:
Test faster
Learn faster
Scale faster
The cost of failure is near zero. That means the cost of hesitation is massive. This doesn’t mean you fire everyone tomorrow. It means you rethink what execution looks like.
You need to start thinking in systems. Workflows that create momentum without manual work every time. Self-improving marketing loops that test, adapt, and scale without waiting for approvals.
Start building owned distribution channels instead of renting all your growth from platforms you don’t control. Email lists. SEO/AEO visibility. Even LinkedIn presence, as painful as that sounds.
AI tools that power vibe marketing in 2025
Marketing MVP/web app builders:
Lovable, Bolt, Replit, Curosr
Marketing video editors:
Marketing creative tools:
Marketing automations:
Try one.
For example I’ve helped automated my marketing teams internal briefing and approval process with Make, Trello and Slack. Right now I’m experimenting more with n8n and it looks really promising. Small teams now have creative superpowers that Fortune 500 marketing departments couldn't touch five years ago.
Here is an example Pika in action.
This is what an AI agent marketing workflow looks like in n8n
Startups used to pick between two tradeoffs:
Move fast with a small team and sacrifice quality
Hire a big team and slow everything down
Not anymore.
The smartest marketers and founders are now asking:
“What could we do if one person could execute like an entire team?”
A lot more than you think.
Imagine giving marketers 100 agentic hands and letting them work on what actually matters.
For this transition startups will need marketing leaders who can survive startup chaos and think like engineers. I’ve written about that in Most startup CMOs are set up to fail which covers the mindset required to survive. The question isn’t whether AI can do marketing. It’s how long before your competitors figure out that one person can outwork your entire team.
Agentic Vibe Marketing = Vibe Coding + AI Agents + Taste.






100% agree with everything here. Though that much needed shift in mindset is not yet implemented, even in the most innovative tech companies out-there. As mentioned in this stack, it will take marketing leaders to be great operators as well.
This is the future of marketing ... Speaking of the team, I'm already asking myself whether I should hire a new resource or whether I can use AI to enable my team to double its output