Podcast: Embed
AI and the Future of Digital Marketing Agencies: What You Need to Do Now
AI is not a future problem for digital marketing agencies. It is a right now problem. The agencies that are winning are the ones treating AI as the cornerstone of everything they do, not just a tool they use occasionally. In this episode of the Scaling Together podcast, Josh and Yesenia break down what agency owners are misunderstanding about AI, where it is already replacing real agency work, and how to bring your whole team along for the shift.
Watch the full episode below before diving in: https://www.youtube.com/watch?v=-ZmZ0R7t7lc
What Agency Owners Are Getting Wrong About AI
There are two big misunderstandings happening right now. The first is fear. After watching headlines about mass unemployment and entire industries disappearing, even some of the most successful agency owners are convinced that clients will stop paying for agency services altogether. That is not what the data shows. Research from one of the largest PE groups in the digital marketing space confirms that local digital marketing is not going anywhere, and they are still investing heavily in acquiring and growing agencies. What is changing is what clients expect and who can deliver it.
The second misunderstanding is thinking AI replaces everyone. It does not. What changes is the type of people you need. Lower level execution roles will increasingly be handled by AI, but quality control, relationship management, and leadership obsession over results will always require humans. The agencies that thrive will be the ones that hire for that.
Where AI Is Already Replacing Agency Work
This is not theoretical. Agencies are already using AI for content strategy and content creation, building out service pages, city pages, blog posts, and press releases at a scale that was not possible before. Web development is changing fast too, with tools like Manus and Claude Code making it possible to build fully optimized, brand-consistent websites and landing pages in a fraction of the time.
On the paid side, AI is being used to monitor campaign performance, identify gaps, and surface optimization opportunities in real time. Internally, it is being used in account management to prepare client reporting and communication, and even in leadership to evaluate team performance by feeding Slack messages, time audits, SOPs, and KPI data into AI to assess whether someone is an A, B, or C player.
How to Introduce AI Without Team Resistance
The writing is on the wall and your team knows it. The worst thing you can do is pretend otherwise. The answer is full transparency. Tell your team what is happening in the industry, what it is going to look like over the next three to five years, and exactly what your company is going to do about it. Then reframe it as an opportunity.
The team members who lean in, who want to be the ones managing and leading and doing quality control on the AI coming into the business, are the ones who will grow into higher levels of leadership. The ones who are not willing to adapt will self-select out. That transparency makes the difficult decisions easier and keeps morale high for the people who are all in.
The One Simple Implementation to Start With
The biggest mistake agency owners make with AI is keeping it at the founder level. You throw yourself into it, which is necessary in the beginning, but then it becomes a new bottleneck. The goal is to get everyone in the company on the same playing field, not just leadership, not just an AI implementer, but every single person.
One practical way to do that is to build an internal AI certification program. Create five levels of competency, starting with the basics like setting up a team AI account and knowing how to ask good questions, all the way up to building AI agents and automations. Every team member works through the levels and gets certified. It makes them better at their job, more valuable inside your company, and more marketable if circumstances ever change.
On the client side, a simple first step is using AI to build a brand guide for every new client. Pull in their logo, their website, their unique selling proposition, and have AI generate a comprehensive brand guide. That one document then becomes the foundation for every piece of content, every page, and every campaign you create for that client going forward.
