You already spend too much time worrying about how to keep more cash in your pocket given the skyrocketing gas prices and ever-increasing inflation. The last thing you need is to worry about another generative AI model stealing your job, but generative AI doom and gloom seems par for the course in the tech world these days, doesn't it?
Tech billionaire Mark Cuban has something to say about generative AI, but it's not the grim warning you're used to hearing from tech CEOs. In fact, Cuban wrote on X (formerly Twitter) back in May, "I'm not a doomer an [sic] AI at all." Instead, he wrote, "I think the nature of work, particularly entry level jobs will change."
Keep reading to learn more about which entry-level jobs Cuban anticipates changing, then learn how he recommends you start automation-proofing your own job.
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Entry-level white-collar jobs
Do you answer phones in a corporate office, write code for a marketing company, or take care of housekeeping tasks at an accounting firm? If your job has a relatively low barrier of entry and involves a lot of repetitive tasks, you might want to heed Cuban's warning that jobs like yours could see minimal growth in the next few years.
As Cuban pointed out on Bluesky last year, "at one point there were more than 2m secretaries. There were also separate employees to do in-office dictation. They were the original white collar displacements." A similar transition could take place as generative AI pushes entry-level white-collar workers into a different sphere.
Customer service jobs
Like more general entry-level white-collar jobs, beginner customer service roles can be fairly repetitive with straightforward training. As a result, according to an article in The Hill, Cuban believes there will be "fewer traditional support roles and greater demand for workers who can handle complex or sensitive interactions."
Put another way, even though Cuban thinks entry-level customer service hiring is likely to slow down, the human perspective will remain invaluable at higher levels. Initial calls might be screened by a generative AI tool, but it takes a real human to handle complex customer interactions. It just might be harder for would-be customer service workers to enter this career field.
Software development and other coding roles
As with entry-level customer service roles, Cuban doesn't necessarily think generative AI tools are going to eliminate software jobs. Instead, per The Hill, "Cuban said they are more likely to reduce the value of routine programming tasks than replace developers outright." As a result, programming jobs that require more specialized skills, especially those related to analysis, creativity, and problem solving, are likely to thrive, but entry-level jobs could be cut.
Support roles in legal and financial fields
In a recent X post, Cuban wrote that "LLMs and agents can capture all the information it can touch," which makes basic information-gathering roles in legal and financial offices less useful. As the Hill article explains, "routine work such as document review, compliance checks and basic accounting functions [are] particularly vulnerable to automation."
These types of jobs will be the first to disappear if other tech CEOs take the advice Cuban offered in that same X post: instead of training current workers on generative AI tools, Cuban says it makes more sense to "reinvent" the business from the ground up, centering it around AI to stay competitive with younger AI native companies.
Research and data analysis
Cuban predicts that routine data collection jobs, especially jobs that call for more information gathering than hands-on analysis, are also going to be replaced with generative AI agents.
At the same time, he emphasizes that "humans have a far greater capacity to know the outcome of their actions. Agents and LLMs as well, [sic] never do." As a result, says The Hill, "Cuban said the focus will shift toward workers who can interpret results and guide AI systems rather than produce analyses from scratch."
Basic data entry and bookkeeping
Cuban believes that any jobs based around entering data, including bookkeeping and some basic accounting work, are likely on their way out. Again, though, the phasing out of human bookkeepers "may not eliminate jobs entirely," according to Cuban. It could just "lead to fewer openings and slower hiring," which would make current workers who are higher up in the company more valuable (while eliminating entry-level options).
Bottom line
Still worried your job is on the generative AI chopping block in spite of Cuban's words? You could still get ahead financially, even if Cuban named your industry as one where entry-level roles could be phased out: just remember to lean into the human-only skills that no chatbot could ever hope to replicate, like creativity, communication, judgment, and problem solving.
Maybe it's ironic, but as Cuban points out, setting yourself apart as undeniably human is likely to be the best way to avoid getting automated out of your industry.
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