"Two things appear to be happening in tandem. Businesses are starting to finally grasp what AI can - and importantly, can't - do to boost their bottom lines. And the sky-high expectations that have been partly inflated and overhyped by AI firms over the past few years are finally coming down to Earth. In short, it's increasingly looking like both the AI doomers and boomers were both wrong."
"There's perhaps no better example of this happening than OpenAI's latest and long-anticipated model, GPT-5, which was touted with a bang and landed with a shrug. Ahead of launch, OpenAI's Sam Altman said he'd felt "useless" compared to the model's intelligence, even drawing parallels with the Manhattan Project. When it arrived, users apparently felt less intimidated. "The degree of overhyping was too significant," one person wrote. "In the absence of massive gains, all you have is hype," wrote another."
"But it may be a glimpse at our new reality, where the breakneck speed of AI progress is simply steadying, where progress cannot run on hype alone, and where we will neither experience an overnight white-collar job wipeout nor reach an AI abundance society overnight. Welcome to AI's "meh" era. Stay calm. We've been here before. It'll all be fine. Probably."
Businesses are beginning to understand what AI can and cannot do for profitability. Sky-high expectations inflated by AI companies are cooling as measurable gains remain modest. AI progress appears to be steadying into incremental improvements rather than dramatic leaps. GPT-5 exemplified this trend by arriving with less transformational impact than some anticipated, prompting comments about overhype. The trajectory suggests neither immediate mass job displacement nor instant technological utopia. Organizations and markets are adjusting to a more realistic pace of change, with practical adoption and tangible ROI becoming the primary focus.
Read at Business Insider
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