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AI is one of those topics that tends to split people into two camps. On one side, there is excitement. On the other, suspicion. As a marketing agency and as digital marketing professionals, we sit right in the middle.
AI is a new technology. We are all learning how to use it, where it belongs, and where it does not. Right now, experimentation is part of the process. That experimentation needs to be guided by two things: curiosity and discernment. Discernment is the word I want to focus on in this conversation.
AI cannot be ignored. At the same time, it should never replace thinking, strategy, or responsibility. Used well, it strengthens professionalism. Used poorly, it undermines it. Let’s talk about where that line is.
AI Is Not New in Marketing (We Just Didn’t Call It That)
Before AI became a buzzword, we were already using it.
Platforms like Google Ads have relied on machine learning for years. Smart bidding, auction-time optimization, and performance signals were all driven by algorithms long before we started labeling everything as “AI.” So the idea that marketing suddenly became automated overnight is simply not true. The technology has been evolving quietly in the background for a long time.
What has changed is how accessible AI tools are, and how tempting it is to let them take over work that still requires human judgment. That’s where discernment comes in.
Two Places Where AI Shows Up in Google Ads
When we talk about ethical AI use in Google Ads, there are two distinct areas to consider:
- AI features activated at the campaign level
- AI used in preparation and execution outside the platform
These are very different, and they should be treated differently.
1. Being Careful With AI at the Campaign Level
For small businesses, especially those under $2 million in revenue, budget matters. Most do not have the luxury of a “testing kitchen” for marketing. Think of it like a restaurant. Large chains can afford a test kitchen where chefs experiment without pressure. A new or growing restaurant cannot. They need to sell what works while they refine. Marketing budgets work the same way. If your annual marketing budget is in the $30,000 to $50,000 range, you do not have room to experiment with every newly released AI feature simply because it exists.
That is why we are cautious about:
- Newly launched AI-driven campaign types
- Features that require long learning periods
- “Quick setup” or automated campaign builds
- AI Max or similar experimental options when budgets are tight
We still set campaigns up manually. Intentionally. Step by step. We do not hand campaign structure over to automation and hope for the best. This is not fear of AI. It is respect for the client’s budget. AI features are not guarantees. They are experiments. Experiments require margin for error.
2. Where AI Is a Smart and Ethical Tool
Where AI truly shines is in efficiency and support, not decision-making. One clear example is ad copy development. We do not outsource messaging or strategy to AI. Strategy comes from understanding the business, the audience, the market, and the growth goals. That work requires thinking, listening, and experience. But once that foundation exists, AI becomes a useful assistant.
For example:
- We use existing website copy and strategy as inputs
- We generate multiple headline and description variations quickly
- We review, edit, and choose what aligns with the strategy
AI speeds up the process, not the thinking. This is not cutting corners. It is using time wisely. The result is still professional, intentional, and grounded in strategy.
AI as a Second Opinion, Not the Authority
Another ethical use of AI is as a knowledge checkpoint. Marketing platforms change fast. New bidding strategies, targeting options, and best practices appear constantly. No professional can read every update, every day.
AI can act as a sounding board:
- Is this bidding strategy still considered best practice?
- Has anything materially changed that I should consider?
- Are there new options worth reviewing?
The key is this: AI does not decide. It informs. We compare its suggestions against experience, data, and context. Then we choose. That is professionalism.
Where AI Should Not Be Used
There are clear boundaries we do not cross.
We do not outsource:
- Business strategy
- Audience understanding
- Messaging direction
- Brand voice
- Positioning decisions
Those require human judgment and responsibility. This is why regular audits and strategy refreshes matter. At least once a year, businesses should revisit their foundation. That foundation then guides every tactical decision, including how AI is used. Without that foundation, AI becomes guesswork.
So Where Do We Stand?
AI is not good or bad on its own. It is a tool.
Used with discernment, it:
- Improves efficiency
- Supports better execution
- Helps professionals stay current
- Frees time for higher-level thinking
Used without thought, it:
- Wastes budget
- Dilutes strategy
- Undermines trust
- Replaces thinking with automation
As marketers, our responsibility is not to chase trends or resist them blindly. Our responsibility is to grow businesses intentionally, purposefully, and profitably. AI belongs in that process. Just not in the driver’s seat. If you are thoughtful about where AI supports your work and where human judgment must remain central, you are not falling behind. You are leading responsibly.