In 1849, French writer Jean-Baptiste Alphonse Karr watched his country convulse through yet another political revolution.
Kings fell, republics rose, constitutions rewrote themselvesâbut when the dust settled, the same people held power, the same problems persisted, and ordinary citizens still struggled with the same daily concerns.
Karr coined a phrase that would outlive every government he witnessed: "Plus ça change, plus c'est la mĂŞme chose"âthe more things change, the more they stay the same.
He was observing something profound about human nature and institutions. Beneath the surface drama, the fundamentals rarely shift.
Today, business owners chase whatever AI trend crossed their LinkedIn feed this morning, but I think Karr had marketing figured out 175 years before ChatGPT existed.
The Shiny Object Syndrome Goes AI
Every day brings another headline about companies cutting staff thanks to AI efficiency gains. Tech giants announcing "workforce optimization." Consulting firms replacing junior analysts with AI tools. Marketing agencies downsizing creative teams.
Small business owners are watching this and asking themselves: "Should I be cutting overhead too?"
The same pattern abounds in business forums, networking events, and client calls: operations being questioned not because they're failing, but because they involve humans doing work that AI could theoretically handle.
This is the Plus Ăa Change problem in action.
Surface Chaos, Foundational Stability
Every week brings headlines that seem to change everything:
- New AI models with "revolutionary capabilities"
- Platforms updating algorithms that will "transform marketing forever"
- Experts declaring entire marketing channels "dead"
- Tools promising to "replace your entire marketing team"
But step back from the noise, and the marketing fundamentals haven't budged:
People still buy from businesses they trust. Whether that trust comes from a handwritten thank-you note or a perfectly-timed automated email sequence doesn't matter. The trust matters.
Problems still need solutions. AI might help you identify customer pain points faster or craft better messaging, but it can't manufacture problems that don't exist or solve problems your product doesn't address.
Relationships still drive business. Your customer doesn't care if your follow-up comes from sophisticated CRM automation or a sticky note reminder system. They care that someone remembered their specific situation and responded appropriately.
Consistency still beats perfection. The business owner sending weekly emails for two years will outperform the one launching the "perfect" AI-generated campaign next month.
The Revolution Wonât be AI-ified
Here's what actually changed: The tools got better. The fundamentals didn't.
AI excels at execution, not strategy. It can write faster, design quicker, and analyze data more thoroughly. But it can't tell you who to serve, what problems to solve, or why customers should choose you over competitors.
The businesses thriving right now aren't the ones chasing every AI development. They're the ones using AI to execute their existing strategies more effectively.
The Plus Ăa Change Test
Before you abandon a working strategy for the latest AI trend, ask these questions:
- What essential need does this serve? If you can't answer this without mentioning the technology, you're probably chasing a shiny object.
- How does this enhance what's already working? Good AI implementation amplifies successful strategies. It doesn't replace them.
- Will this matter if the technology changes tomorrow? If your entire strategy depends on one AI tool or platform, you're building on shifting sand.
- Does this help me serve customers better? Technology should improve customer experience, not complicate it.
The Timeless Marketing Stack
While everyone debates which AI tools will dominate, smart business owners focus on the elements that have worked for decades and will work for decades more:
- Clear value proposition: What problem do you solve, and why should customers choose you?
- Consistent communication: Regular, valuable contact with prospects and customers.
- Systematic follow-up: Reliable processes that ensure no opportunity slips through cracks.
- Customer feedback loops: Understanding what works and what doesn't, directly from the people who matter.
- Relationship building: Creating genuine connections that turn customers into advocates.
These fundamentals existed before AI and will exist after whatever comes next. AI just helps you execute them more efficiently.
The Paradox of Chasing Change
Here's the irony: businesses that constantly chase new marketing trends rarely benefit from any of them. They abandon strategies before they can prove their worth and never develop the consistency that builds real momentum.
Meanwhile, businesses that stick with proven fundamentalsâbut enhance them with helpful technologyâcompound their advantages over time.
Your Marketing Revolution Starts with Subtraction
Instead of asking "What new AI tool should I try?" ask "What can I stop doing?"
Most small businesses would see better results from doing fewer things more consistently than from adding more complexity to their marketing mix.
Pick three marketing activities that directly contribute to revenue. Do those exceptionally well. Use AI to make them more efficient, more personalized, or more scalable. But don't abandon them for the latest trend.
Plus Ăa Change, Plus C'est Profitable
Karr understood something about human nature that applies perfectly to marketing: beneath the surface changes, people want the same things they've always wanted.
They want to be understood. They want their problems solved. They want to work with people they trust. They want to feel valued, not processed.
AI can help you deliver these experiences more effectively. But it can't replace the fundamental work of understanding your customers, solving their problems, and building their trust.
The businesses winning right now aren't the ones with the most sophisticated AI setup. They're the ones using technology to become more human, not less.
In a world of constant change, that might be the most revolutionary approach of all.
