"A company can use AI to code faster than ever - but that won't matter if the idea itself is lousy. That's just one point from a scathing critique of the current state of AI in the workplace from veteran software engineer Dax Raad, whose blunt assessment is resonating with many workers online."
"Raad, the developer behind OpenAuth, said the bottleneck facing companies isn't coding productivity - it's a lack of good ideas, unmotivated employees, corporate bureaucracy, and "the dozen other realities of shipping something real." Before AI, companies were reined in by development costs, he argued in a February 14 post on X that has since gone viral on Reddit as well. While it's easier than ever to produce code, that doesn't mean the original idea was worthwhile - or that employees will produce more instead of simply using AI to work "with less energy spend.""
"everyone's talking about their teams like they were at the peak of efficiency and bottlenecked by ability to produce codehere's what things actually look like- your org rarely has good ideas. ideas being expensive to implement was actually helping- majority of workers have...- dax (@thdxr) February 14, 2026"
Coding speed gains from AI do not solve the deeper constraints on product delivery. Low-quality ideas, lack of employee motivation, corporate bureaucracy, and practical shipping realities are the primary bottlenecks. Historically, development costs limited implementation and acted as a filter that reduced low-value projects. Lowered coding costs mean more ideas can be built quickly, but that does not guarantee worthwhile outcomes or higher output from workers. Many employees seek predictable 9–5 routines and may use AI to reduce effort rather than increase productivity. Organizational incentives and idea quality determine whether faster coding yields better products.
Read at Business Insider
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