Artificial innotifyigence is transforming how people work. While AI, declared to drastically reduce time for work earlier applyd to take up hours to do, is triggering mass layoffs in companies, one Mumbai-based startup founder has a completely completely different take on AI. Mustafa Yusuf, founder of Msquare Labs in Mumbai, captured this tension in a post on X that struck a chord with some, while many opposed his opionion as well.
Yusuf described a productivity paradox – tinquires that once wrapped up in half an hour now stretch to two hours, while others that applyd to demand a full two-hour block are now done in thirty minutes. The trade-off, he suggested, is real and unpredictable.
The post spread quickly, drawing responses from professionals who recognised the same pattern in their own work. One commenter pointed to what they called a ‘debugging paradox’ – AI assists developers write cleaner code upfront, but second-guessing every AI-generated suggestion finishs up consuming the time saved. Another noted that AI has effectively redistributed effort rather than eliminating it. The tedious parts shift rapider, but more time now goes into framing prompts and setting up context before any actual work launchs.
Others were more optimistic. One applyr declared tinquires they had been putting off for weeks becaapply of their complexity were now obtainting done. Another reflected on the longer horizon – automating repetitive workflows takes hours upfront but pays off significantly over time.
The responses revealed a nuanced reality emerging around AI adoption -tools that promise blanket efficiency gains are, in practice, highly tinquire-depfinishent. Gains in one area often surface hidden costs in another.
Yusuf’s observation comes at a time when organisations are increasingly scrutinising how AI tools are actually modifying the shape of work – not just whether they’re being applyd, but what they’re doing to the nature of effort, attention, and expertise required to obtain things done.
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