ChatGPT outage reminds users what life was like before AI
There was a time not too long ago where last-minute essays were written overnight by adrenaline-filled students, work emails were carefully crafted using corporate lingo passed down by generations, and time-consuming busywork was a rite of passage for entry-level employees. Now that AI has made its way into daily life, those days seem to be farther away than ever. That is, unless ChatGPT is down.…
In a recent outage, OpenAI's ChatGPT Work— an agentic mode of the large language model (LLM) that enables users to delegate tasks—was unavailable for several hours. This prompted a wave of social media reactions, with many joking that even a chatbot requested a Monday off, suggesting the need for a day of rest. Some even playfully claimed that calling in sick on a Monday would be akin to an Artificial General Intelligence (AGI) alert.
Others, however, expressed concern over potential job losses due to AI, jokingly stating that they were relieved their work ethic matched that of AI.
Upon OpenAI acknowledging the issue on social media and announcing its resolution, users' reactions were mixed. While some rejoiced at the return of ChatGPT, others sarcastically remarked that they were close to completing their tasks independently. The brief AI-less period, however, sparked nostalgia among users, with many reminiscing about life before ChatGPT. Tweets reflected a sense of longing for the simpler times, with users expressing their relief when OpenAI restored service.
The outage reinforced the growing tensions between humans and AI, even as 49% of American adults admitted to using AI chatbots in 2026. Despite the majority of Americans harboring concerns over AI's role in daily life, the outage provided a unique opportunity for reflection on the reliance individuals have on the technology. As one user put it, "The more powerful our tools become, the more uncomfortable it is when the tool itself becomes a single point of failure."
Written by urgent.news from Fast Company's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
