Google tells us AI is here to make advertising better. But better for who?

Every Google Marketing Live, every product update and every email reminds us of the same promise: trust AI. As someone who lives and breathes Google Ads, I genuinely believe AI has transformed advertising. But there's a contradiction I can't ignore. Google tells us AI understands context, while increasingly encouraging advertisers to trust recommendations that often lack the commercial context that matters most.

This isn't an anti-AI article. It's about understanding where AI excels, where it falls short, and why PPC specialists are more valuable than ever.

The recommendation isn't the real issue

Recommendations are no longer simply suggestions. They're becoming assumptions.

The platform increasingly behaves as though every advertiser should follow the same optimisation playbook, regardless of the business behind the account.

We've all seen recommendations like:

• Budget too low.

• Product feed health is poor.

• Product features are narrow.

At first glance, they seem logical. After all, AI learns from billions of data points across millions of advertisers.

But here's the reality.

Context Matters More Than Scale

My client sells only two products. Not because their catalogue is incomplete, not because they're missing opportunities. Simply because those two products are their business, and they're incredibly successful.

Google's recommendations claim that campaign performance is limited because budgets are too low, product feed health is poor, and product filters are narrow.

The AI sees two products.

The strategist sees a profitable business model.

Those are very different conclusions.

When Best Practice Isn't Best for Everyone

Budget recommendations are another perfect example.

Google has suggested allocating around 8% of an account's monthly spend to Demand Gen campaigns.

For larger advertisers, that may be a sensible starting point.

But what about the small business owner managing every advertising dollar carefully?

What about the retailer operating on tight cash flow?

What about businesses where Search and Shopping consistently outperform upper-funnel campaigns?

Should they reduce investment in what's already working simply because an AI model recommends a different budget allocation?

Probably not.

A recommendation based on aggregated data doesn't automatically become the right decision for an individual business.

AI Understands Patterns. Humans Understand Purpose.

This is where I believe many discussions around AI miss the point.

AI is exceptional at identifying patterns. It can detect trends across millions of accounts, surface opportunities faster than any human could, and automate countless repetitive tasks.

What it doesn't fully understand is the business context.

It doesn't sit in strategy meetings.

It doesn't understand profit margins.

It doesn't know seasonal cash flow pressures.

It doesn't understand manufacturing constraints, inventory decisions, customer lifetime value, or the founder who has deliberately chosen to build a niche business instead of chasing endless expansion.

Recommendations Should Start Conversations, Not End Them

None of this means advertisers should ignore AI recommendations.

Many are genuinely valuable, some identify tracking issues, campaign inefficiencies or missed opportunities that deserve immediate attention.

The mistake isn't using recommendations.

The mistake is assuming every recommendation deserves to be applied.

Professional advertisers don't ask, "Should I accept this recommendation?"

They ask:

"Why is Google recommending this?"

"Does it align with this business?"

"Will this move us closer to the client's commercial objectives?"

Those questions are where experience still matters.

The Future Isn't Human vs AI

The future of Google Ads isn't about rejecting automation.

It's about understanding where automation ends and human judgement begins.

AI should amplify expertise, not replace it. The best advertisers won't be the ones who apply every recommendation. They'll be the ones who know which recommendations deserve action, which deserve investigation, and which deserve to be dismissed because they simply don't fit the business they're managing.

Sometimes the smartest optimisation isn't clicking Apply.

Sometimes it's confidently clicking Dismiss.

Because great advertising has never been about following the same playbook.

It's always been about understanding the business behind the account.