By 2027, AI will do most of the hands-on marketing work at companies that keep up. The people on the team spend their time on strategy and review. The AI agents handle production, with access to every tool and document the company uses.
At TJ Digital, we already run our own marketing this way. One short video becomes about 10 pieces of content in roughly 30 minutes. That is part of how we deliver around four times the work of a typical agency at the same rates.
Here is what that setup looks like a year from now, and what it will cost you to run it.
What will AI handle for your marketing team?
A year from now, whatever AI your company uses will have access to everything. It will have its own accounts in Slack, Gmail, Notion, and whatever other programs you run. It will be able to update your website, at least on a staging server, and I think a lot of companies will trust it with their live site too.
Most importantly, it will have access to all the information in your business. Once an AI agent can reach every tool and every document, there is very little it cannot do on a computer. The models a year from now will also be a lot smarter than what we have today.
Your team’s job shifts from producing the work to directing and reviewing it. Industry analysts describe the same change, with marketers moving into the role of curators and strategists while the agents handle execution.
Where will the AI get its information?
For any of this to work, all the knowledge in your business has to be organized so an AI can read it. The information on your website, in your documentation, and in the heads of your team members gets pulled into one structured place.
The AI also maintains that knowledge base for you. Every Slack message, email, and meeting transcript gets parsed, and the AI decides whether there is anything new it needs to record. A well-organized source of information is the foundation for all of it, because an AI is only as useful as the data you give it.
If you want a concrete starting point, Google’s Open Knowledge Format is a simple way to store your company’s knowledge as files an AI agent can read. We build one of these for every client and call it a Brand Ambassador.
What will your marketing team actually do?
The team’s real job becomes building and maintaining systems. These are the systems that run your marketing:
- A system that turns any insight or announcement into blog posts and social media posts
- A system that updates your website automatically whenever new public information shows up
- A system that drafts your newsletters, sends your emails, and runs your ad campaigns
Once the AI has access to every tool and all the information your team has, it can run those systems with very little hands-on help. The people spend their time having conversations, with each other and with the AI, about what the business is trying to do.
This is also why putting out a steady stream of content matters more than ever. The same systems that publish your content everywhere are what get yourecommended by AI when a customer asks for a solution like yours.
Will humans still review the work?
Yes. For important work, there will still be a human review stage, at least for a while. The person reviewing will rarely make the edits themselves.
They describe the change they want, and the AI makes it. The AI does not stop at that one project either. It takes the feedback, pulls out any lesson it can learn, and applies it to future work.
So every correction makes the whole system a little better. It helps to treat these AI agents like a junior employee whose work you still check.
Here is how the day-to-day work compares:
| Marketing task | How it works today | How it works in 2027 |
| Content production | A person writes each piece by hand | A system drafts it from your latest insights |
| Website updates | Someone edits the pages manually | The AI updates pages when new information appears |
| Company knowledge | Scattered across docs, tools, and people’s heads | Organized into one source the AI maintains |
| The human’s role | Doing the work | Directing the work and reviewing it |
| Marketing budget | Mostly salaries and software | A growing share goes to AI token costs |
How much will AI cost to run?
AI is not free, and it keeps getting more expensive as the models get smarter. I would expect to spend at least 20% of your payroll on token costs. Some companies are already spending more than 50%, and a year from now that will not be unusual.
This is already showing up at the top of the industry. NVIDIA’s CEO has talked about paying engineers in tokens worth about half their base salary, on the logic that an engineer with a token budget gets far more done. When tokens get cheaper, total spend usually goes up anyway, because you end up running more work through them.
If you set this up correctly, that cost will be a drop in the bucket compared to the value it produces. The work compounds, and the output you get for your money keeps climbing as the models improve.
What should you do to prepare?
Do not worry if you have not set any of this up yet. Virtually no companies have. The point is to start moving in this direction now, because the gap between the businesses that do and the ones that wait is going to widen quickly.
The first practical step is the knowledge base. Start writing down everything important about your business in a way an AI can read, covering your services, your audience, your competitors, and your goals. Once that exists, you can point AI tools at it and start automating one process at a time.
We build these systems for our own marketing and for the businesses we work with. Reach out for a free digital marketing audit and we will show you exactly where your business should start.
Common questions about AI and marketing teams
Will businesses still need a marketing team in 2027?
Yes. The team will look different. AI handles most of the hands-on production, while the people focus on strategy, conversations, and reviewing the work.
How much should a business budget for AI tokens?
I would plan for at least 20% of your payroll, and some companies are already spending more than 50%. Expect that share to rise as the models get smarter and you run more work through them.
What is a marketing knowledge base?
It is a structured set of documents about your business that any AI tool can read before it does work for you. It covers your services, audience, competitors, and goals, and the AI keeps it updated as new information comes in.