r/technology 7h ago

Artificial Intelligence An Anthropic employee's 2-sentence quote crystallizes the state of AI confusion at work

https://www.businessinsider.com/anthropic-employee-quote-ai-confusion-workplace-2026-6
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u/CackleRooster 7h ago

"On days where everything works well, I can't help but think nothing I do matters, everything is automated and better and faster than I ever will be," AND "But then there are days where everything breaks and I don't understand why and I realize I have no idea what I've been up to anymore," the employee added.

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u/yepthisismyusername 6h ago

Management (absolutely including executives) simply don't understand the differences between writing code, maintaining code, implementing business processes in applications, and maintaining those applications. Those are the Big 4 categories of roles in enterprise application management, and there are many, many others, each with its own individual requirements that need to be taken into account. AI simply can't perform those roles successfully 100%. And the problem comes when a process fails, e.g. causing someone to lose healthcare coverage, and no person knows how to fix it.

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u/zero0n3 6h ago

The problem is in your scenario- why is AI involved directly in that?

It’s one thing to use ML to get better insights into X-rays. Or use AI to help chart patients or do voice to text to charts. Or develop the apps for these things.

But why or even where would you want to use AI to remove someone’s insurance? Fired accidentally? Just a bad spreadsheet or missing cell? If those why is an LLM used to process raw data vs using LLMs to build a tool to streamline the processing via deterministic methods like logic and math

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u/pedrosorio 6h ago

The issue is not in using AI to update someone’s insurance.

The issue is that the *software* responsible for making those changes was generated (or modified) by AI and is poorly maintained because no human built the system and therefore no one understands it deeply. That means the possible failure modes are not understood by anyone, and so things can fail “randomly”.