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An experienced programmer shares his brutally honest opinion about the role of AI in the workplace, and it’s as much an indictment of the technology as it is of the organizations that lazily deploy it.
in one x rant that’s happening Praised in online programming circlesDax Raad, a programmer, said that what holds software companies back is not the speed at which they are able to churn out code, but the quality of their ideas – an issue AI is not going to solve, despite the industry’s insistence on its ability to supercharge productivity.
“Your organization rarely has good ideas. Ideas that are expensive to implement were actually helpful,” wrote Raad, whose own company sells OpenAuth AI tools.
And activists aren’t just using AI to be ten times more effective, he continued; Instead, “they are using it to accomplish their tasks with less energy expenditure.”
Even worse, “The two people on your team who actually tried are now so fed up with the sloppy code being produced by everyone else that they’ll soon quit.”
Raad concluded, “Even when you work fast you’re still saddled with bureaucracy and dozens of other realities of some real shipping.”
There is some research that supports RAD’s scathing assessment. an ongoing study informed In Harvard Business Review who monitored two hundred employees at an American tech company found that AI was actually enhancing workers’ jobs, rather than reducing their workload. Using AI to speed up tasks was a double-edged sword, as it “reduced workload”, creating a vicious cycle in which AI raised expectations for how fast workers would get things done, resulting in them becoming more reliant on AI to meet greater demands. The result: worker burnout, fatigue and low-quality work; Not the hallmark of a thriving organization.
Another study documented how AI led employees to undergo low-quality “workshop” that masqueraded as good work but actually required someone else downstream to fix it. Besides slowing everything down, this created resentment among coworkers, with some admitting that receiving a workshop from a coworker lowered their opinion of them.
As Raad makes clear, AI is not a cure-all. And even if AI increases productivity, that productivity may be a mirage. How often are AI models producing poor code? And what if no one notices that poor code? Perhaps, as Raad suggests, ideas being “expensive to implement” was a good thing, because it forced engineers to think creatively about a problem. Not every impulse should be entertained. What are the thousands of ideas that were killed with AI instead of the few promising ideas that were refined and given time and attention? The first may seem more productive, when it is actually a collection of dead ends.
Furthermore, having employees become dependent on AI hardly seems conducive to rewarding and fostering creativity. As many experts warn, this is another form of cognitive offloading, in which vital functions of our brain, including critical thinking, are outsourced to a piece of technology.
However, this is not the line promoted by tech companies. Nvidia CEO Jensen Huang reportedly told his employees that they would be “crazy” not to use AI to complete every possible task. Microsoft’s AI CEO Mustafa Suleiman claims that AI is already so effective that almost all white-collar tasks will be automated within a year and a half. And both Microsoft and Google boast that more than a quarter of their code is now AI-generated.
But no matter how useful or not these AI tools may be, they cannot work miracles. At the end of the day, the responsibility of running a tight ship falls on humans.
“Even when you get things faster with AI, you’re still bound by bureaucracy and dozens of other realities of some actual shipping,” Raad said.
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