Exclusive eBook: The great Al hype correction of 2025

MIT Technology Review

by MIT Technology Review

February 20, 2026

AI-Generated Deep Dive Summary

The "great AI hype correction of 2025" marked a pivotal moment when the tech industry faced significant challenges in meeting its ambitious promises regarding artificial intelligence. This year saw top AI companies failing to deliver on their commitments, leading to a reevaluation of expectations and a broader discussion about the limitations of current technologies. The eBook explores these issues through various lenses, including the overhyped capabilities of large language models (LLMs), the misconception that AI is a quick solution to all problems, and whether the rapid growth of the AI industry signals a bubble. These topics are essential for understanding the evolving landscape of AI and its potential impact on society. The correction in 2025 was not just about technical failures but also about the broader narrative surrounding AI. The eBook highlights how companies like ChatGPT set high expectations that were often unmet, contributing to a growing realization that AI is not yet capable of fulfilling every promise made by its developers. This shift has sparked important conversations about the realistic applications of AI and the need for more nuanced discussions about its capabilities. By examining these issues, the eBook provides readers with a clearer picture of where AI stands and what realistic expectations should be moving forward. For anyone interested in AI, this correction matters because it underscores the importance of maintaining skepticism and avoiding overly optimistic projections. The tech industry has often been guilty of hyping emerging technologies to attract investment and public attention, but when these promises fall short, it can lead to disappointment and even setbacks for innovation. Understanding the limitations of AI, as discussed in the eBook, is crucial for making informed decisions about its future development and implementation. This perspective is particularly valuable for businesses, researchers, and policymakers who are shaping the trajectory of AI technologies. The "Hype Correction" package offers a comprehensive look at the challenges facing AI in 2025, including the risks of overpromising and underdelivering. By addressing these issues head-on, the eBook provides readers with the tools

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Originally published on MIT Technology Review on 2/20/2026