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The AI graveyard: a running list of projects and startups that didn’t make it

TechCrunch published a running list of AI projects and startups that failed, citing that 42% of corporate AI initiatives are abandoned. The report attributes the failures to platform vendors like OpenAI, Google, and Apple absorbing standalone agentic, browsing, and automation workflows into their core models, which kills thin wrapper tools and general-purpose orchestration layers. It advises teams to shift engineering resources toward deeply integrated, proprietary domain logic rather than basic agentic workflows.

read1 min views5 publishedSep 16, 2026
The AI graveyard: a running list of projects and startups that didn’t make it
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TechCrunch

The AI graveyard: a running list of projects and startups that didn’t make it

Which summary reads better? Pick one — models revealed after.Both summaries are AI-generated.

42% of corporate AI initiatives are abandoned, and even shipped products like Relay are being killed when platform vendors absorb the same workflow automation features. For teams shipping agents, the durable moat is not “AI automation” itself but distribution, integration depth, retention, and unit economics; anything that can be bundled into OpenAI, Google, Apple, or an existing productivity suite is at high risk of becoming a feature, not a company.

Forty-two percent of corporate AI initiatives are being abandoned as platform giants natively absorb standalone agentic, browsing, and automation workflows into their core models. This aggressive consolidation means building thin wrapper tools or general-purpose orchestration layers is no longer a viable production strategy. To avoid having your pipeline rendered obsolete by upstream updates, you must shift engineering resources away from basic agentic workflows and focus entirely on deeply integrated, proprietary domain logic.

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