I’m working with a winery. They make a good wine. The winemaker studied in France, sources from specific vineyards, has real opinions about what makes their wine different.
Their problem: so does the winery 5 miles down the road. And the one in a different state. And the one they’re losing business to.
On paper, wine is increasingly commoditized. Thousands of options, most of them good, most of them priced similarly. For a lot of wine drinkers, the choice comes down to which label looks appealing or which someone recommended.
AI can help with the label. It can help market to the people most likely to buy. It can predict what messaging will resonate.
Understanding why this winemaker’s philosophy is actually different, and why someone should care? That takes a person.
That’s the 1%.
What AI handles well
AI is exceptional at the 99%.
Research. Competitive analysis. Content generation. Personalization.
A/B testing. Analytics. Scaling. Efficiency.
Give AI a good brief, and it will execute beautifully. But it needs that brief first.
The 1% that stays human
That last 1% (the thing that separates winners from the pack) requires something AI doesn’t have: real understanding of what actually matters.
Take differentiation. Every company claims to be different. Most of those claims are generic.
“We care about quality.” “We’re customer-focused.” “We’re innovative.” Every company says that.
Real differentiation is specific. It’s tied to something real about the business. Usually it’s about why the founder started it, or what problem they uniquely understand, or what decision they’ve made to do business differently.
AI can’t find that because it requires judgment. It requires asking the right question and recognizing the true answer when it’s buried under the pitch.
Three examples of that 1%
Empathy
A company is struggling with customer retention. AI can tune the email sequence, personalize the message, time it better. All useful.
But the real problem (from talking to actual customers) is they feel invisible. The company doesn’t make them feel understood. That’s a business problem. Fixing it requires empathy: someone who gets what customers feel during every interaction, all the way down to what no dashboard captures.
AI can refine the messaging once you know what to say. Figuring out what to say still takes a person who’s listened.
Context
A competitor just launched a direct-to-consumer model. Looks like a threat. AI can help you track it, analyze it, build a response.
But understanding whether it’s actually a threat (whether they have the infrastructure to sustain it, whether customers will actually switch, whether your business is safe for another 2 years) requires judgment. It requires knowing the market well enough to separate signal from noise.
True differentiation
I have a beer client. Good beer, small brewery, struggling to stand out. They asked me to help them “market better.”
The actual problem was upstream of marketing. They hadn’t figured out what they stood for.
They made good beer. So did dozens of others in their market. Why should anyone choose them?
That question gets answered by a founder sitting down and being honest about why they started the brewery, who they’re actually trying to serve, and what they’re willing to say no to.
Once that was clear, marketing became easy. Because they had something real to say.
That’s where the 1% lives. In deciding what matters before you pick up the tools.
Why this matters more as AI spreads
As tools become commoditized, as everyone has access to the same AI, as the baseline level of marketing execution rises for everyone, real judgment becomes rare. And rare is worth paying for.
When everyone can create polished content instantly, the brand with something real to say is the one people remember. Targeted campaigns follow the same logic. When every business has AI, the edge goes to whoever knew what to tell it to do.
How to protect the 1%
If you’re running a team or a company:
- Guard the thinking time. Strategy happens by thinking, talking to customers, being curious about what differentiates you.
- Hire for judgment. People who can look at data and ask good questions. People with instinct. People with experience outside your industry.
- Keep humans on the decisions. AI handles execution well. Deciding what work matters is still a human call.
- Remember what you’re actually selling. The judgment that decided what tools to use in the first place.
Do the thinking. The real understanding of what makes you different and why it matters.
Speed, volume, matching competitors campaign-for-campaign? AI handles all of that.
The 1% is still you.