The Fundamental Flaws in AI Video Tools: Why They Prioritize Engagement Over User Success
By
umairnadeem123
A good honest bake. Not flashy, but you'll finish the whole bagel.
Summary
The author shares their six-month experience testing numerous AI video tools (OpenArt, Higgsfield, AutoShorts, etc.) and finds them all fundamentally flawed despite impressive underlying AI models. The core problem is that these tools are built as 'slot machines with subscription fees' - they prioritize engagement metrics over user success, creating addictive interfaces that keep users paying while rarely delivering usable results. The article critiques the business model where tools are designed to maximize user retention through endless tweaking rather than solving actual video creation problems, leading to frustration despite the technological capabilities being available.
Key quotes
· 5 pulledIts a slot machine with a subscription fee.
Every single one let me down. Not because the AI is bad (the underlying models are genuinely incredible now) - instead; the tools wrapping them are the problem.
The tools are built to maximize engagement, not to help you succeed.
You're not paying for a tool that helps you make videos. You're paying for a slot machine that occasionally spits out something usable.
The business model is the problem, not the technology.
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