The AI Graveyard: Notable Projects and Startups That Failed
Updated September 16, 2026
A recent TechCrunch article highlights several AI projects and startups that have shut down or failed to meet expectations, including Apple's Siri and OpenAI's super app. These failures reflect the challenges and unpredictability in the AI sector, where even established companies struggle to deliver on ambitious promises. This ongoing trend raises questions about the sustainability of AI initiatives and the lessons learned from these failures.
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Why it matters
- ✓Developers should be cautious about overcommitting to AI projects that may not have a clear path to success, given the high rate of failure in the industry.
- ✓Product teams can learn from the missteps of prominent AI projects, helping them to better assess risks and set realistic expectations for their own initiatives.
- ✓The failures of these AI projects may influence funding and investment strategies, as investors become more discerning about which AI startups to support.
The AI Graveyard: Notable Projects and Startups That Failed
The landscape of artificial intelligence is littered with ambitious projects that have ultimately failed to deliver on their promises. A recent article from TechCrunch outlines a running list of AI initiatives, including notable names like Apple's Siri and OpenAI's super app, that have shut down or missed their expected milestones. This trend not only highlights the challenges faced by AI developers but also serves as a cautionary tale for those looking to innovate in this rapidly evolving field.
What Happened
The TechCrunch article details various AI projects that have not made it, emphasizing the struggles of even well-known entities. Apple's Siri, for instance, has faced repeated delays and criticism over its performance and capabilities. Similarly, OpenAI's attempt to launch a
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