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

New

Curated list of failed AI projects and startups with postmortems.

8.4 (48.766 score)

free

Overview

A TechCrunch-maintained directory documenting AI projects and startups that shut down or failed. It tracks what went wrong with high-profile initiatives from companies like Apple, OpenAI, and others. Useful for investors, founders, and researchers studying why AI ventures fail and what lessons apply to current projects.

Pros

Documents real failure patterns across the AI industry
Includes context on why projects failed or stalled
Maintained by established tech journalist publication
Covers both startups and major company initiatives

✕ Cons

Not an interactive tool, only reference content
Updates depend on TechCrunch editorial schedule
Limited to failures already covered by media

Key Features

Running list of failed AI projects

Failure analysis and postmortem details

Coverage of startup and enterprise shutdowns

Timeline tracking of AI project closures

Use Cases

Investors researching failure patterns before funding decisionsFounders learning lessons from unsuccessful AI venturesResearchers analyzing why AI startups failIndustry analysts tracking market consolidation trends

Best For

AI ResearchersStartup FoundersVenture Capital InvestorsProduct ManagersIndustry Analysts

Frequently Asked Questions

Is The AI Graveyard free to access?▾

Yes, The AI Graveyard is a free, publicly maintained resource by an established tech journalism publication. No subscription or payment is required to browse the list of failed projects and their postmortem analyses.

How quickly can I start using this resource?▾

There is no setup or learning curve—simply visit the resource and begin browsing the curated list of failed AI projects and their failure analyses immediately.

Can I integrate this data into my own tools or systems?▾

The resource is designed as a browsable reference list rather than an API-driven platform. Integration capabilities depend on the publication's current offerings; check their documentation or contact them directly for data access options.

What is the main limitation of this resource?▾

The Graveyard documents past failures and may not predict future trends, and coverage depth varies across projects depending on available postmortem information and media coverage at the time of failure.

Who should use The AI Graveyard?▾

This resource is ideal for AI researchers, investors, and startup founders who want to understand common failure patterns, avoid repeating mistakes, and learn from documented case studies of what hasn't worked in the AI industry.