Despite years of soaring expectations and breakthrough claims, artificial intelligence is showing signs of hitting a plateau. In a candid NPR segment, Georgetown professor and New Yorker contributor Cal Newport addresses mounting skepticism around the productivity of generative AI, especially following a lukewarm reception to the latest ChatGPT model and an MIT report citing failure in 95% of business AI trials. Newport explains that technological progress has slowed industry-wide, with incremental “post-training” improvements replacing the exponential leaps previously seen. This shift is triggering a reassessment among AI companies and investors, as the expected business revolution has yet to materialize. While future radical automation is unlikely in the next few years, Newport cautions continued vigilance regarding risks such as misinformation and fraud as the sector seeks more targeted consumer applications.
Rethinking the Hype: Unpacking the Current Limits of Artificial Intelligence
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