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AI is undoubtedly a big part of our lives, both at work and at home.
And employees are reportedly losing their jobs as a result of the AI overhaul. In other words, bosses realized that AI could do their employees’ jobs at a fraction of the cost, while eliminating the need for sick days, vacations, benefits, etc., resulting in fewer employees.
Nevertheless, employers and AI companies keep repeating the message that AI is not replacing employees, but merely taking over some of the management duties and streamlining operations so that human employees can focus their attention on more complex tasks.
But according to a new report from AI company Anthropic, this couldn’t be further from the truth.
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In its Economic Index report, Anthropic describes how many companies using Claude AI software are completely automating their operations rather than augmenting their workloads with software.
And, as the automation industry acknowledges, this trend can disproportionately impact workers in industries where humans can be easily replaced.
“Companies are increasingly using Claude to increase automation. This systematic corporate deployment reflects how AI is reshaping economic activity. Overall productivity will increase, but the impact on employees whose existing responsibilities are being automated is uncertain.”
This is undoubtedly a concern for workers and for an economy that depends in many ways on the labor capacity of the workforce.
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Perhaps even more concerning is that the report shows that more and more companies are relying on AI tools to perform tasks with minimal oversight.
Given the propensity of large-scale language models (LLMs) to lie and manipulate users, the lure of automation could have serious consequences for companies with little regulation of their AI “employees.”
Despite these pitfalls, Anthropic warns that companies continue to invest in technology, which could lead to real long-term disparities among workers.
“These patterns risk creating divergence. If AI-driven productivity gains are concentrated in already prosperous regions and sectors primed for automation, existing inequalities could widen rather than narrow. Our evidence suggests If AI automation improves the productivity of workers with organizational tacit knowledge, as shown in the paper, then entry-level workers may face worsening labor market prospects, while more experienced workers may experience higher demand and higher wages.
With this in mind, when it comes to AI, we have to seriously ask: Are the benefits really worth the risks?
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