The AI Graveyard: projects and startups that failed

The landscape of artificial intelligence (AI) is ever-changing, with numerous projects and startups creating high expectations, but ultimately not performing as desired. This article highlights some of the most notable AI projects that have either been halted or did not achieve the success that was anticipated. From Apple's repeatedly delayed Siri AI to the chaotic launch of OpenAI's 'super app', these examples illustrate the challenges and hurdles companies face in the rapidly evolving world of AI.

A striking example is Apple's Siri, which seemed promising in its early days but faced various delays and missed new features over the years. Where it was expected that Siri would play a prominent role in the digital assistant market, the reality turned out to be much more complex, with competitors developing faster and offering a broader range of capabilities.

Additionally, the launch of OpenAI's 'super app' is another example of high expectations that were not realized. Despite significant hype and effort, the project has not been able to meet its goals, raising questions about the strategic choices and execution of AI initiatives within such large organizations. This shows that even the most reputable companies in the tech industry are not immune to failed projects in the increasingly competitive AI space.

Understanding these failed projects provides valuable lessons for IT decision-makers and CIOs involved in AI initiatives. It underscores the importance of realistic expectations, thorough planning, and achievable goals when implementing AI solutions. History teaches us that even the best ideas and innovations can have outcomes different from what was originally intended.

Read the full article from Techcrunch.