"According to the Guardian, at least one-third of UK employers already report using "bossware," meaning employee monitoring software increasingly integrated with AI. In the US, that number is even higher, with an estimated 61 percent of workplaces using AI analytics software to calculate worker productivity."
"As Royal Docks School of Business and Law professor Nazrul Islam pinned pined in a recent editorial in the Guardian, the most immediate threat to the workers of the world isn't mass automation kicking people out of the workplace, but the crushing effects of AI on those within it. The consequences are numerous: it engenders a widening workplace skill gap, erasure of workplace autonomy, and ever-worsening conditions."
"As Islam puts it, "many jobs will remain in the future, but they will be more pressured, more fragmented and less human." Sure enough, AI is already degrading workplace conditions around the world. In the US, fast food workers and Amazon drivers are increasingly surveilled by these systems."
""The choice about how AI will reshape work is not being made in Silicon Valley boardrooms or summit speeches," Islam observes. """
At least one-third of UK employers use “bossware,” employee monitoring software increasingly integrated with AI, and an estimated 61 percent of US workplaces use AI analytics to calculate worker productivity. Management-by-software has existed since the 2010s, such as Amazon warehouse hand-scanners tracking bathroom breaks, but AI expands these practices with machine learning tools aimed at maximizing productivity. The immediate threat is not mass automation eliminating jobs, but the crushing effects of AI on people who remain employed. These effects include a widening skill gap, erasure of workplace autonomy, and worsening conditions. Many jobs will persist but become more pressured, fragmented, and less human, with AI reshaping work through real workplace decisions rather than distant tech promises.
#ai-workplace-monitoring #employee-surveillance #labor-conditions #productivity-analytics #automation-vs-job-quality
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