The AI Graveyard Shows How Quickly Standalone Products Lose Their Place
AI products are not just failing in public. More and more, they are disappearing into the platforms that made them no longer necessary.
A new TechCrunch report lists the growing number of AI products and startups that have shut down, changed direction, been taken over by other companies, or failed to live up to expectations. Examples include Relay, an AI tool for automating work that shut down after larger platforms added similar features to their own products, and Character.ai, which filed for bankruptcy just five years after it launched.
It is getting harder for AI products to survive on their own
This is about more than a few unsuccessful product launches. OpenAI reportedly took back a new ChatGPT design that brought together Chat, Codex, and Work modes after users found it confusing. The company has also built the features of Operator and its image-making tools more deeply into ChatGPT, making separate products less necessary. Sora, its video-sharing platform, shut down in March after struggling with running costs and keeping users interested.
The same problems can be seen in physical products. Humane's AI Pin business ended after performance problems and a warning about a possible battery fire involving its charging case. Rabbit's R1 attracted a lot of interest at first, and the company said it sold 100,000 units. But early reviews described it as an unfinished product that did not work reliably and connected with only a limited number of other services. Notion Mail, an email product built around AI, is also scheduled to shut down as users increasingly turn to separate AI agents to manage their inboxes.
AI success depends on reaching users, not just being new
The main problem is not simply that these products had flaws. Their most useful ideas could be copied, added to other products, or offered more easily by companies that already have many users.
This creates a tough challenge for AI startups and product teams. A feature can get lots of attention without becoming a lasting part of someone's daily routine. A device can sell quickly without proving that people need it alongside their smartphone. Even a large company can find that a more complex AI interface makes a product harder to use instead of more useful. Apple's repeatedly delayed Siri and Microsoft's Recall feature, which continues to face debate, show these challenges.
For brands and marketers, the lesson is not to stop trying new things. It is to think carefully about where those experiments belong. AI features added to an existing product may last because they can reach people who already use that product. Standalone products need a stronger reason to remain separate. The AI graveyard is filling up with ideas that were interesting enough to launch but not different enough to survive.