How Agencies Should Prepare for AI
We're at an inflection point.
AI went from "nice to have" to "necessary" between 2023 and 2025.
By 2027, it will be "table stakes." Not using AI will be like not using email.
Agencies need to prepare now. Not later. Now.
What's Coming
AI agents. Autonomous systems that plan and execute multi-step work.
Better models. Models that reason better, understand context deeper, and make fewer mistakes.
Specialized AI. Tools built for specific industries and problems (healthcare design AI, financial services copywriting AI).
Integration. AI baked into every tool you use. Adobe, Figma, Notion all have AI native.
The Agencies That Will Struggle
Agencies that:
- Ignore AI
- Use AI but cut corners (mediocre work)
- Don't train staff on AI
- Compete on price instead of value
- Don't specialize
- Have weak client relationships
These will lose ground over the next 2 years.
The Agencies That Will Thrive
Agencies that:
- Integrate AI strategically
- Maintain quality while improving speed
- Train and upskill staff on AI
- Build specialize expertise
- Focus on relationships and outcomes
- Can articulate their value beyond "cheaper and faster"
These will gain market share.
The Five Preparation Steps
Step 1: Audit your workflows.
Where could AI help? Design? Copy? Code? Strategy? Admin?
Map this out. Get specific.
Step 2: Experiment with tools.
Pick three tools relevant to your work. Spend a week with each.
ChatGPT, Midjourney, Cursor (AI code), Jasper (copy). Whatever fits.
Understand what they can and can't do.
Step 3: Train your team.
Most staff haven't seriously used AI. They need hands-on training, not a lecture.
"Here's ChatGPT. Here's a design brief.
Draft a strategy with it. You'll finish faster."
Practice.
Step 4: Redesign processes.
Your current workflow assumes humans doing all the work.
With AI, the workflow changes. Less ideation, more iteration. Less blank page, more refinement.
Step 5: Measure impact.
Track: Time saved per project. Quality maintained or improved. Client satisfaction same or higher.
If all three are true, you've done it right.
The Messaging Question
How do you tell clients you're using AI?
"We use AI-assisted workflows to deliver faster without cutting quality. This is why we can hit aggressive timelines. You get better results, we get efficient processes."
This positions AI as a tool that benefits the client, not a cost-cutting measure.
The Hiring Question
As you integrate AI, hiring needs change.
Less need for: Execution-only people (people who just do the work).
More need for: Direction-givers (people who strategize and refine).
Your next hire should understand strategy and judgment, not just execution.
The Specialization Tie-In
AI makes generalist work more commoditized.
It doesn't make specialist work cheaper. A SaaS growth strategist using AI is more valuable, not less.
So: Specialize. Build deeper expertise. Use AI to amplify it.
The Revenue Question
As you get faster, do you lower prices?
No. You increase value.
"I deliver 3 design concepts instead of 2. Same price."
"I deliver in 4 weeks instead of 6. Same price."
"I increase conversions 5% instead of 2%. Same price."
More value, same price, better margins.
The Timeline
Q2-Q3 2026: Audit, experiment, train. Start using AI in projects.
Q4 2026: Processes refined. AI is integrated into workflows.
Q1 2027: Measuring impact. Adjusting based on results.
Q2 2027+: Competing with AI as a core advantage.
This is a 6-12 month journey.
The Risk of Waiting
If you wait until 2027 to start, you're 18 months behind.
Competitors will have:
- Better processes
- Faster delivery
- Better client relationships (because they delivered faster)
- Higher margins (better efficiency)
You'll be scrambling.
The Resource Allocation
How much time and money should you invest?
For a 5-person agency: 100-200 hours of training, $5-10k in tools annually.
This pays for itself in 3-6 months through improved efficiency.
FAQ
Should I hire an AI expert?
Not yet. Your team just needs to learn the tools.
Once you're 6 months in, you might hire someone dedicated to AI optimization.
What if clients refuse AI?
"Sure. That will cost more and take longer because it's less efficient. You'll pay for manual work instead."
Most clients will prefer fast and efficient.
How much quality will I lose using AI?
Zero, if you do it right. Quality actually improves with more iteration.
If quality drops, you're using AI wrong.
Can I wait until 2027 to start?
You can, but you'll be behind. Competitors will have a head start.
Starting now gives you 12 months to figure it out before it's critical.
What if my team resists using AI?
Start with the easiest wins. Show them how AI saves time on boring work. Let them try for a week, then ask for feedback.
Resistance usually turns into enthusiasm once people see the efficiency gains.
How do I compete if AI commoditizes my services?
Use AI to go deeper, not cheaper. Do more iterations, deliver more concepts, provide more strategy.
Your competitor might use AI to drop prices. You use AI to increase quality and value at the same price.