AI Just Killed Bad Marketing Strategy — and Made Good Strategy Worthless

Two-thirds of American marketers would fail a basic marketing test, according to Ipsos research. The market research firm's study found that most marketers couldn't answer even fundamental questions about their own profession: 40% didn't know what "positioning" meant, 54% couldn't define "above the line," and half didn't know what "penetration" meant.

Put another way, if you lined up three marketers at random, two of them likely can't describe the core vocabulary of the job they do every day. The study triggered the predictable wave of panic — dozens of articles and LinkedIn thought pieces blaming the erosion of marketing fundamentals for everything from bad advertising to the discipline's shrinking influence in the corporate hierarchy.

But there's a more useful question for practitioners, and it's the one a recent Fast Company analysis by a marketing commentator raises: in the age of AI, does the fundamentals gap really matter?

Has AI raised the floor — and lowered the ceiling?

The author's reluctant concession: the strategic output of ChatGPT, Gemini, Claude and similar tools is "actually . . . well . . . pretty damn good." Prompt any of them properly on your market conditions and objectives, and the recommendations that come back are typically sound. Often better than what an average human marketer — particularly one who doesn't know what "positioning" means — would produce alone.

That means the floor has risen. With a vast knowledge base at every marketer's fingertips, the author argues, there is no longer any excuse for a genuinely bad strategy.

The catch is what happens at the ceiling. As everyone leans on the same tools to write strategy, AI is accelerating homogenization. Everyone will, over time, run the same playbook.

The author cites a pitch consultant who says it's now harder than ever for clients to evaluate prospective agency partners' strategic work — because all the agencies use AI, and every team presents a slightly different version of the same thing. And it cuts both ways: on the agency and client side, the author regularly encounters strategies that are clearly heavily indebted to large language models.

What does this change for marketers?

The practical question for any practitioner: if strategies are commoditized like products, where does competitive advantage come from? The analysis offers two answers.

First: execution. Getting ChatGPT to spit out a strategy for distinction, demand acceleration and growth is easy. Turning that strategy into reality — galvanizing an entire organization into action — is as hard as it's ever been. The author's analogy is blunt: if two football teams run the same playbook, the one that executes it better wins the game.

Second: knowing when to break the rules. The author quotes two-time World Series of Poker winner Justin Saliba: "I want to do my best to execute theoretically sound strategies, while always paying close attention and constantly looking for reasons to deviate and play an exploitative strategy."

In poker, "playing by the book" means making the mathematically correct choice in every situation. A player who consistently plays by the book will, over time, beat a player who plays by gut. But the best players play by the book most of the time — and know when to strategically throw it away. ChatGPT, the author argues, is the book: an aggregation of all existing data distilled into what you should do. If everyone plays by it, the edge comes from knowing when to deviate.

Why bravery is the new currency

The author is direct about why marketing has been pushed to the sidelines in many companies: over-reliance on data. If AI writes the strategy, research dictates creative choices, and platform algorithms handle media, the perceived value of the humans in the middle shrinks.

The counterargument isn't recklessness. It's that the data sometimes gets it wrong, consumers sometimes don't know what they want, and AI can't tell you what to do next — because all of its data is based on everything that's already been done.

The closing frame is the one practitioners should sit with: for decades, brands used strategy to outperform commoditized categories. The next phase inverts it — execution and intuition to outperform commoditized strategies.