AI made marketing output almost free. It did not make marketing decisions any easier. A founder can now generate thirty articles, a hundred social posts, and a six-month SEO strategy before lunch, and still have no idea which piece of work might bring in the next customer.
There has never been more marketing software, and never more AI agents offering to write, research, schedule, optimise, and publish. Yet every day I see technical founders on X saying the same thing: I know how to build the product. I have no idea how to get people to care about it. The problem isn't that these founders can't produce enough marketing material. It's that nobody is responsible for determining what should happen next.
Most conversations about agencies versus AI tools start with the wrong question — "which one produces more work for less money?" The real question is whether you need more output, or someone to decide which work matters.
A content generator waits for instructions
Most AI marketing tools are extremely capable. They can write an article, build a content calendar, produce social posts, generate keyword ideas, and turn one piece of content into ten formats. But almost all of them begin in the same place: what would you like me to create?
That sounds helpful. For an early-stage founder, it can be the beginning of the problem. If I already knew what my market needed to hear, which channel could reach it, and which page would convert, I'd be in a strong position to give the tool instructions — but those are usually the decisions the founder is struggling with. The tool asks for a topic. The founder guesses. The tool produces the content quickly and convincingly. The founder publishes it. Nothing happens.
AI has made it possible to execute the wrong marketing strategy at extraordinary speed. The output may be good. The underlying decision can still be wrong. That's not an intelligence problem — it's an ownership problem. A content generator owns the production of the asset. The founder still owns every difficult decision around it.
An agency supplies judgement and execution
A good marketing agency operates differently — it doesn't just wait for a prompt, it brings experience, process, and strategic judgement. Agencies are particularly useful once a company already knows what works and needs more capacity: a channel that consistently produces customers, established positioning, proven messages, and a bottleneck that's execution rather than uncertainty. At that stage, an agency can take a working playbook and scale it.
The difficulty is that most vibe-coded products are nowhere near that stage. They've just launched. They don't yet know who their best customer is, or whether the constraint is visibility, positioning, conversion, or the product itself. Hiring a team to execute before answering those questions doesn't remove the uncertainty — it makes the uncertainty more expensive. The agency produces work, the founder receives reports, traffic may rise, but the original question stays unanswered: is this the right work for this product at this moment?
The next category is not another AI marketing tool
Early-stage founders are stuck between two imperfect choices — cheap execution they must manage themselves, or expensive execution they aren't yet ready to evaluate. A founder who has just shipped doesn't need a full marketing department. But they need more than an empty prompt box. They need something that can inspect the business and say: this is the largest obstacle preventing people from discovering your product, this is the job we should do first, this is why it matters.
I think the category emerging between software and agencies is the AI marketing teammate. A tool helps the founder perform a task. A teammate accepts responsibility for moving an outcome forward — it should understand the product and customer, inspect how the company is being discovered, diagnose the most important constraint, prioritise one job over all the others, execute it with the founder's approval, measure what happened, and use that result to determine the next action.
That last part matters most. Marketing isn't a list of independent deliverables — it's a learning system. One article tells you whether a query attracts the right visitor. One landing-page change tells you whether the message is clearer. Each action should make the next decision better. Most marketing software forgets everything except the content it generated; most agency reports describe what was completed during the month. The real opportunity is a system that remembers which actions actually changed the outcome.
Founders don't need more agents to manage
There's currently a race to package marketing software as a team of AI agents — one for SEO, one for social, one for Reddit, one for analytics, one for strategy. The homepage says the founder has acquired an entire marketing department. Look closely and they've acquired an organisation they must now manage: they still have to choose which agent to activate, decide which channel matters, review a queue of recommendations, and connect the resulting activity back to customers. The number of agents is irrelevant if responsibility for the outcome still sits with the founder.
Technical founders don't dislike marketing because they can't write a post. They dislike it because it's filled with ambiguous choices, delayed feedback, and activity whose value is hard to prove. More buttons don't remove that burden. More generated content doesn't either. The useful product is the one that reduces the number of decisions the founder has to make.
"What should happen next?" is the product
This is the idea shaping how we're building Chad. It isn't meant to be a cheaper agency behind a chat interface, and it isn't meant to be another content generator — we're building it to operate between those models, as an AI marketing teammate for technical founders. A founder should be able to connect their product and get something more useful than a dashboard of problems. Chad should identify the distribution gap, determine which job matters most, explain why, execute it, and show the founder what happened. Not sixteen agents to coordinate — one system that turns "help the right people discover this product" into the next concrete job, whatever that job actually is: a technical fix, a page for a high-intent question, or improving a page that gets traffic but no signups.
The future of marketing software is responsibility
AI will keep making production cheaper — articles, videos, campaigns will all get faster to create, and every product will eventually have access to similar generation capability. Output alone won't be the moat. The valuable system will be the one that can decide what deserves to be done, what should be ignored, what happens first, whether the work succeeded, and what happens next. That requires context, prioritisation, execution, and memory — not another dashboard.
I think founders will eventually stop paying primarily for access to marketing tools, and start paying to transfer responsibility for defined pieces of the marketing outcome. Not "give me software for SEO content," but "identify why my product isn't being discovered and handle the highest-value fix." Not "give me an AI social agent," but "find the conversations where my product is relevant and help me turn them into qualified attention." That's a much higher bar than generating content. It's also a far more useful one.
Agency or AI tool?
There's still a place for both. Use an AI tool when you know what you want to accomplish and need leverage executing it. Hire an agency once you have a proven channel, sufficient budget, and a genuine need for human expertise or added capacity. But if you're between those stages — product shipped, marketing action still unclear — you need diagnosis before volume, prioritisation before production, evidence before scale. Eventually, a marketing system that doesn't just hand you more work to manage, but helps you decide what should happen next, and takes responsibility for getting it done.
Also published on Medium.