Why AI's Speed Problem Isn't About Building Faster

Got into a debate after someone posted about AI's exhausting pace: "AI generates 20 options in seconds. Clients want revisions in minutes. Design trends shift before the last one's even built. The pressure to stay ahead is intense." This misses the real problem.

My response: We're in the age of: Not Building What You Want To Build. Especially with this low barrier to entry, you must take a strategic approach when creating products that isn't passion driven. Instead of a product-first approach, you must take market-first approach.

The strategic shift: No more throwing things at the wall and hoping it sticks. It's time to solve real problems. From taking a market-first approach, you're able to get a loyal customer base that likes and trusts you. You're then able to make a value proposition and collect pre-sales (without building product yet).

The key insight: And finally you're able to iterate your product efficiently from feedback your customer base gives you. Yes technology is moving quicker than ever before - it was already moving fast before AI, but it needed manual code - now, we only need code for code iterations after AI generates an output.

The barrier reality: To "build" something is low barrier - a kindergartener can do it. But isn't uploading social media content low barrier as well? The ones who succeed are the ones who actually make good content that gets attention & retention. Building follows the same principle.

The conclusion: Only the intelligent will make money from AI, because they understand the game. Speed isn't the advantage - strategic thinking is. Use AI to execute faster, but never skip the market validation and customer development phases.

Hope you found this valuable! :)

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