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Why AI Won't Replace Humans in 5 to 10 Years

  • Writer: Joseph Bonomo
    Joseph Bonomo
  • Jul 23
  • 2 min read
TL; DR AI and humans will work together, and we may be in a bubble
TL; DR AI and humans will work together, and we may be in a bubble

I see a lot of hype and bombastic claims that AI will replace humans in the next 5 to 10 years for something upwards of 50% to 90% of jobs. I don't agree. As someone who uses AI every day, it's an effective tool for increasing efficiency. A small application or script that would have taken me weeks to months to write years ago, can take hours now. But I have the knowledge and use it as a tool, rather than a crutch.


Continuing on.....


Despite all the hype, AI is currently stalling when it comes to actually replacing human workers. The big tech companies have spent over $560 billion on AI infrastructure in just two years, but their only generating around $35 billion in revenue from it. That's not just bad ROI—it's economically unsustainable. When industry leaders are burning money at this rate, it suggests the technology isn't ready for mass job displacement that everyone's worried about.


Companies love throwing around the term "agents" to make it sound like they have autonomous AI workers, but the reality is way less impressive. Salesforce's own research shows these so-called "agents" only work about 58% of the time on simple tasks and only 35% on anything complex. These aren't human replacements—there expensive chatbots with some API connections. Plus, virtually no one except NVIDIA is making money from generative AI, most companies are losing billions.


This doesn't mean AI will never be a threat to jobs, the technology will probably improve and costs might come down eventually. But the current timeline for real AI job displacement is more like decades, not years. Right now the biggest threat to workers isn't AI replacing them—it's executives using AI hype to justify layoffs while pouring money into infrastructure that doesn't actually work as promised.


In depth and long articles on the topic here by Ed Zitron.


 
 
 

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