Billionaire investor Mark Cuban says employees looking for work at big companies may be barking up the wrong tree.
In a new post on X, Cuban says white-collar workers had a harder time adapting to the PC Revolution during the 1980s compared to today’s AI boom.
According to Cuban, personal computers were very expensive back then, and people had to hustle to learn how to code.
“Today, presumably every white-collar worker has access to a smartphone and/or a PC/laptop.
Back then, a PC cost $4,995, and an off-brand was $3,995. $5,000 in 1984 is about $16,000 today. It was really expensive.
The only reason I could learn how to code and support software is because my job let me take home a PC to learn. By reading the software manual. Literally. RTFM. Or pay to go to training. Classes that started at hundreds of dollars then. It was expensive. It absolutely limited who could get ahead.
Today, ANYONE can go to their browser, to the AI LLM website of their choice, and type in the words ‘I’m a novice with zero computer background, teach me how to create an agent that reads my email and …'”
Cuban notes that people who take the time and effort learning how to use AI have a solid shot of getting ahead. He adds that while big companies are expected to reduce their headcount as they adopt intelligence tools, employees with AI skills can be very valuable to small firms.
“Big Companies are going to cut jobs. No question about it. Small companies are going to need more and more AI-literate thinkers who can help them compete or get an edge
What I tell every entrepreneur, and it’s more crucial today, ‘When you run with the elephants, there are the quick and the dead. Adopt tech quickly, and you can outmaneuver big companies.'”
Cuban’s comments echo Jensen Huang’s stance on AI and employment. According to the Nvidia CEO, young people should have deep expertise in AI, regardless of whatever educational path they choose to pursue.
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