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The AI boom is screwing over Gen Z | ChatGPT is commandeering the mundane tasks that young employees have relied on to advance their careers.::ChatGPT is commandeering the tasks that young employees rely on to advance their careers. That’s going to crush Gen Z’s career path.
Suggesting an alternative industry as an escape from AI doesn’t work. The media tried this with the millions of truck drivers, pushing them to go into software development 5-10 years ago, as we started conversations around the impending automation of their careers.
The thought at the time, and this seemed like an accurate forecast to me, was that the tech industry would continue to grow and software engineers would be extraordinarily safe for decades to come. I was already in this profession, so I figured my career was safe for a long while.
Then a massive AI boom happened this year that I hadn’t anticipated would come for 15ish more years, and similarly AI experts are now pushing up predictions of AGI by literally decades, average estimates being under 10 years now instead of 30 years.
At the same time, the tech industry went through massive layoffs. Outsourcing, massive increases in output with generative AI automating away repetitive copy/paste programming or even slightly more complicated boilerplate that isn’t strictly copy/paste, amongst natural capitalist tendencies to want to restrict high value labor to keep it cheap.
Those people who shifted away from truck driving and towards software engineer 4+ years ago, thinking it was a “safe path” and now being told that it’s impossible to find a junior dev position might become desperate enough to change paths again. Maybe they’ll take your advice and join a trade school, only to find in 4 years we’ll hit massive advancements in robotics and AGI that allows general problem solving skills from robots in the real world.
We already have the tech for it. Boston dynamics has showcased robots that can move more than fluently enough to be a plumber, electrician, etc. Now we just need to combine generative AI with senses and the ability to process information from those senses and react (this already works with images, moving to a video feed and eventually touch/sound/etc is a next step).
While everyone constantly plays a game of chicken, trying to move around this massive reserve army of labor, we’ll see housing scalpers continue to raise rents, and cost of living becoming prohibitive for this growing class of underemployed or unemployed people. The reserve army of labor, when kept around 5-10% of the population, serves as an incentive for people to be obedient workers and not to rock the bed too much. That number growing to 20-50% is enough to rock the bed, and the capitalists will advocate for what they’ve already advocated in the third world, a massive reduction or total annihilation of welfare, so millions more can starve to death.
We already have millions of people dying a year due to starvation, and nearly a billion people are malnourished due to lack of food access. Raising this number is a logical next step for capitalists as workers try to fight for a share of the automated economy.
“Just” is doing a lot of heavy lifting in that sentence. Sensor integration is currently the biggest hurdle in AI and one of the most complex but less understood areas of research. Everyone can make a magnetic sensor, anyone can make an image recognition AI, anyone can make an inverse kinematic robotic control arm. But having them integrate and coordinate together to create fluid problem analysis and motion has proven to be elusive and non-trivial. Tesla commits traffic offenses, taxi networks are brought to a halt by shirts with traffic cones on them. For things the most basic human context aware analysis can solve instantly. It has cost Boston Dynamics billions of defense budget money to create a partial solution that still requires the permanent supervision of a human operator. A full solution is not on the table in the short-term.