Why 'Tasteology' is emerging as a marketing discipline
When AI gives every marketer access to the same research, optimization, and content creation tools, the competitive edge shifts away from execution speed and toward judgment. That's the argument behind Tasteology, a framework for making better marketing decisions through critical thinking, accumulated human experience, cultural intelligence, multidisciplinary knowledge, and evidence.
The problem is already visible to consumers. Seventy percent say they tune brands out because of the volume of messages they receive, while 49% of Americans believe generative AI has made the quality of available content worse. When creating more becomes this easy, the responsibility shifts from adding to the volume to making sure what gets published is actually worth people's attention.
By taste, the framework doesn't mean aesthetics or personal preference. It means judgment: the ability to connect the dots, recognize what is right for a specific brand, what will resonate and be remembered, and what should never make it into the market.
The HEJA framework
Taste in the age of AI operates through four components: Human, Emotional Intelligence, Judgment, and AI. Human is the context no dataset can fully capture. Experience shapes the nuances marketers notice, the references they draw from, and the possibilities they see.
Emotional intelligence is the ability to understand the human being on the other side. As marketing becomes saturated with fast-created, snackable content, depth becomes more valuable: understanding what people actually feel, value, desire, fear, identify with, and want to belong to.
Judgment turns those perspectives into a decision. It questions the obvious answer, distinguishes what is merely possible from what is worth pursuing, and chooses what is right for a specific brand, moment, and audience.
AI provides something marketers have never had before: the ability to see the same problem from hundreds of angles, challenge assumptions, and explore possibilities at a scale no individual human mind could reach alone. For marketers building skills in this area, AI for Marketing resources cover the strategy, content, and consumer insight side of this shift.
How the framework works in practice
The framework was tested while building a community for female entrepreneurs in New York. The starting point was the human reality behind the audience: ambitious women building companies in a city where growth is often celebrated without much conversation about what it takes to sustain it.
Instead of another conversation about success, the focus was on sustainable growth for highly ambitious women. Emotional intelligence shaped how those conversations were designed, less like another panel and more like a space where people could recognize themselves in what was being said.
Judgment came from bringing academic expertise together with founders who had lived through these challenges themselves, combining evidence with real-world experience. AI helped research the subject from different angles, challenge assumptions, and scale the communication around the event.
More than 130 women came, and the event sold out. The takeaway was seeing what happens when marketing starts with what people are already feeling, rather than what a brand wants to say.
What this means for entrepreneurs
For entrepreneurs, this requires a more diversified approach to marketing. The recommendation is to deliberately study something outside your industry once a week and bring one idea back into a business problem: a behavioral principle, an artistic movement, a cultural shift, a technology, a philosophical idea. The point is not to become an expert in everything but to train your mind to make connections your category won't make for you.
Before putting anything into the world, ask one question: Would I invest $10,000 of my own money to make sure more people see this? If not, don't publish it yet. Every product launched, message published, and idea amplified contributes to the culture people live in. That makes taste a responsibility, not a preference.
Why this matters for marketing professionals
Marketers who rely on AI tools without developing judgment will produce work indistinguishable from every other brand using the same technology. The practical step is to build a weekly habit of studying outside your category and applying one foreign idea to a current campaign or positioning problem. Then apply the $10,000 test before publishing anything. That discipline, not better prompts, is what separates marketing that gets remembered from marketing that gets ignored. For structured training on applying AI to campaign optimization, content automation, and analytics, the AI for Marketing Managers learning path offers a practical starting point.
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