⚠️ Generative AI isn’t lowering the barrier to entry. It’s lowering our standards.
I hate that a talentless non-creative can use an AI music generator which, to most people sounds fine, but to others is clearly terrible, and make more money than my hard-working and super talented musician friends.
I hate that someone with no experience can pick up an AI code generator and rip off someone else’s hard work solving a hard problem they struggled with over many years of trial and error, and then be successful because people don’t care it’s an obvious knockoff.
I hate that people can generate AI slop YouTube shorts which are absolute brain rot, but get millions of views while so many talented and hard-working new creators get lost in the noise between large successful channels and crap.
💭 AI is supposed to usher in a new age of awesomeness. When exactly is this happening?
Maybe the problem isn’t the tools themselves. Some tools are genuinely great. Many talented people are seeing real productivity boosts — musicians using AI to handle tedious mixing, developers using AI to write boilerplate, creators using AI to enhance their existing skills.
But here’s the thing: companies optimize for profit, not quality. And what sells is slop. What scales is slop. What gets funded is tools to make more slop, faster.
The barrier to entry was never the problem. The barrier to mastery was the filter. And now we’ve built systems that reward output over excellence, volume over substance. We’re drowning in content that’s “good enough” while the people who dedicated their lives to their craft struggle to compete with someone who spent 5 minutes typing a prompt.
Is this really the future we wanted?
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#AI #CreativeEconomy #QualityVsQuantity #TechEthics #ContentCreation #AIDebate #Craftsmanship #DigitalCreation #TechCritique #AIImpact #CreativeIndustry #FutureOfWork #TechPhilosophy #AIandSociety
This post was meant for LinkedIn, but I never posted it. I felt it was too negative. But truth is, the message is important, so here it is anyway.