"Vision" or "Hallucination"? - Hard Lessons from Delegating Product Strategy to AI

"Vision" or "Hallucination"? - Hard Lessons from Delegating Product Strategy to AI

Hello fellow founders and business leaders.

I currently lead a tech team building B2B software solutions. Recently, I witnessed (and personally experienced) a fascinating yet highly risky trend right inside our own company. It stems from leadership becoming overly infatuated with AI.

My CEO is highly tech-savvy, but his recent enthusiasm for AI has crossed the line from "adoption" to "abdication."

It started when core strategic issues—like pricing strategy, product roadmaps, and even detailed feedback for the dev team—were handed directly to AI. The raw output was then copy-pasted to our team without any human filtering.

The Issue Isn't the Tool; It's the Lack of "Context"

When I booked a meeting to clarify the business logic behind this feedback, my CEO couldn't explain it. His response? "The AI chat log makes sense, just go ahead and build it."

This revealed a fatal flaw: AI doesn't possess your unique business insight. It can generate a pricing strategy that looks great on paper, but it doesn't understand our specific customer base, the unspoken pain points of the market, or our actual resource constraints. When humans lack the insight to push back, we easily get led astray by "hallucinations" wrapped in highly persuasive language.

When Product Development Becomes an "AI vs. AI" Loop

To keep things moving, I had to set up a workflow that felt completely absurd:

1. The CEO uses AI to generate strategic feedback.
2. I feed that feedback into our team's AI to write the code and design the solution.
3. I force our AI to self-critique 4-5 times to ensure there are no logical flaws.
4. Finally, I push the result and ask the CEO to re-validate. The CEO then... feeds it into his AI to check. His AI says "OK," and it's approved.

Two AI models are essentially debating and approving each other. Meanwhile, the CEO and I—the people ultimately responsible for the product—are the ones who understand its core logic the least.

Lessons for Business Owners

From my own experience, here are a few takeaways for founders looking to integrate AI into their operations:

1. AI is an exceptional executor, but a terrible CEO. AI can accelerate coding, drafting, and data analysis. But it cannot replace the strategic thinking, business intuition, and customer empathy of the founder.
2. Don't let the tool create an "Echo Chamber." When you use AI to generate your vision, and then use AI to validate that same vision, you trap yourself in a safe but unrealistic loop. The resulting product might be technically "smooth," but completely out of touch with the market.
3. You need a tech partner who knows how to "Push Back." When working with external tech agencies or in-house teams, don't just look for people who know how to hit "Generate." Look for those with a strong Product Mindset. They will use AI to bring your ideas to life faster, but they also have the expertise and backbone to say: "This strategy the AI came up with sounds great, but in reality, it's not the right move for our business."

AI is changing how we build software, but it doesn't change the fundamental rule: A successful product always starts with a clear, human-driven vision.

How are you applying AI in your business? Are we using it to amplify our capabilities, or are we inadvertently handing over the "soul" of our product to algorithms?