Sam Altman’s remarks on the release of GPT-5, perceived as a disappointment, have ignited concerns of a potential AI bubble. A staggering 95% of generative AI ventures are reportedly failing, evidenced by a significant market sell-off that saw the S&P 500 drop by $1 trillion. Experts like Gary Marcus caution that the enthusiasm surrounding AI technologies isn’t aligned with their operational realities, warning that this could lead to a market correction akin to the dotcom bubble. With millions invested in data centers and AI initiatives, valuations appear disconnected from actual revenue. This has fueled skepticism among financial analysts; while some suggest AI will catalyze efficiencies, others anticipate a backlash and a “capex indigestion.” As history suggests periodic bubbles, many researchers posit that AI’s potential will ultimately transition from a speculative phase to a more stable, innovation-driven era. The sentiment around AI technology remains mixed, blending excitement with cautious realism.
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