The AI graveyard: a running list of projects and startups that didnt make it
What Changed
Relay, an AI‑powered workflow automation tool, shut down on Monday after five years because larger platforms like OpenAI and Google integrated similar automation into their own products. S&P Global Market Intelligence reports that about 42% of corporate AI initiatives are abandoned by their parent companies due to funding, technical, scaling or demand issues. OpenAI’s attempts to consolidate services—such as the failed ChatGPT super‑app redesign and the discontinuation of ChatGPT Atlas, Operator, and Sora—illustrate how even major players pivot or fold features into core offerings. Apple’s delayed Siri AI release and Microsoft’s Recall feature controversy highlight the challenges of integrating AI while managing privacy, security, and user expectations.
Why It Matters
Enterprise architects should recognize that AI projects often face high failure rates, especially when competing with larger platform ecosystems. Integrating AI into existing products can reduce duplication and improve adoption, but it requires careful governance around data privacy, security, and user experience. Cost overruns and scaling hurdles mean that early, incremental experimentation with AI modules is preferable to building standalone services.
The Limitation
The analysis is based on publicly reported cases and may not capture all internal factors influencing each company’s decision to abandon or pivot an AI project.
What You Can Do
Conduct a portfolio audit to identify AI initiatives that overlap with platform‑provided capabilities and consolidate or retire those that lack clear differentiation.