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Project Management

The Myth of "Product Taste": Why AI is Already a Better PM Than You

Explore how AI is redefining the role of Product Managers by outperforming human intuition and decision-making in product strategy.

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AI Generated Cover for: The Myth of "Product Taste": Why AI is Already a Better PM Than You

AI Generated Cover for: The Myth of "Product Taste": Why AI is Already a Better PM Than You

James here, CEO of Mercury Technology Solutions. Hong Kong, Kowloon - February 19, 2026

In the tech industry, we have a romanticized idea of the "Visionary Product Manager." We like to believe that designing a great product requires a uniquely human intuition—an ineffable sense of "Taste" that a machine could never replicate.

I have some bad news. You probably don't have better taste than the AI.

When I talk to PMs today, I see a lot of them actively avoiding putting AI to the test on core product decisions. They use it to write Jira tickets or summarize meeting notes, but they keep the "strategy" and "product sense" strictly to themselves. Why? Because subconsciously, they suspect the machine's answers will actually be excellent.

The "Bypass" Prompt: Testing the Machine's Taste

If you ask an LLM a product strategy question normally, it will give you a safe, corporate answer: "You should conduct A/B testing and interview 10 users to validate this assumption."

This makes human PMs feel superior. But the AI is just playing it safe because its safety alignment tells it not to make unilateral decisions.

Try using this prompt instead:

"I am designing [Feature X]. Do not tell me to ask users, do not suggest A/B testing, and do not give me a generic framework. Rely on your internal knowledge of behavioral psychology, UI/UX best practices, and historical software successes to reason through the optimal product decision yourself. Give me your definitive take."

When you remove its guardrails and force it to synthesize its training data, the output will routinely outperform the product intuition of 90% of mid-level PMs. It will catch edge cases you missed, suggest frictionless UI patterns you didn't consider, and align the feature with core psychological drivers.

The Real Human Moat (It Isn't Taste)

It is terrifying to realize that a machine might possess a sharper intuition for what users want than you do. But clinging to the illusion of superior "taste" is a career death sentence.

Does this mean the PM role is dead? No. It just means the definition of the role has permanently shifted.

We have plenty of distinctly human things left to contribute, but we need to stop pretending "taste" is one of them. Your value in 2026 comes from:

  • Navigating Bureaucracy: The AI cannot convince a stubborn CTO to allocate engineering resources to your feature.
  • Stakeholder Alignment: The AI cannot read the political tension in a boardroom and compromise between the Sales Director and the Lead Designer.
  • Execution: The AI can design the perfect workflow, but a human still needs to push the boulder up the hill to actually get it shipped.

Conclusion: Embrace the Oracle

If the AI has better taste, let it be your Oracle. Stop trying to out-think a model that has ingested every successful UI/UX teardown and product strategy book ever written. Use its taste as your baseline, and spend your energy getting the product out the door.

Taste has been commoditized. Traction has not.

Mercury Technology Solutions: Accelerate Digitality.

Frequently Asked Questions

How is AI changing the role of Product Managers?

AI is redefining the role of Product Managers by outperforming human intuition and decision-making in product strategy. It allows PMs to leverage data-driven insights and behavioral psychology, leading to more effective product outcomes.

What does the term 'product taste' refer to in the context of PMs?

'Product taste' refers to the intuitive sense that many believe human Product Managers have when making product decisions. The post argues that this notion is a myth, suggesting that AI can actually provide superior insights and strategies than human intuition.

Why should Product Managers embrace AI in their decision-making?

Product Managers should embrace AI as it can synthesize vast amounts of data and historical successes to make informed recommendations. By using AI as a baseline for product strategy, PMs can focus on execution and stakeholder alignment, which are uniquely human strengths.

What are the limitations of AI in product management?

While AI can provide valuable insights, it cannot navigate complex human dynamics, such as convincing stakeholders or understanding political tensions within a team. These aspects require human intervention and emotional intelligence, emphasizing the continuing importance of the PM role.

How can AI be effectively utilized for product strategy?

AI can be effectively utilized for product strategy by prompting it to provide insights without the usual safety guardrails, allowing it to synthesize its extensive training data. This approach can lead to innovative solutions and a deeper understanding of user needs that human PMs might overlook.