OpenAI's Product Assassination Strategy: Lessons from Tech History's Deadliest Killers

OpenAI's decision to kill its Sora video creation tool just days after publishing usage guidelines represents the latest chapter in a troubling pattern of product instability that has tech industry veterans drawing uncomfortable comparisons to some of Silicon Valley's most notorious product assassins.

The death of Sora came with shocking speed. On Monday, OpenAI was still promoting safe use of the tool on its website. By Tuesday, the company announced via X post that it was "saying goodbye to the Sora app" and would share more details later about timelines for the app and API, plus how users can preserve their work. The timing was particularly brutal: Disney had just signed a $1 billion deal to invest in OpenAI and explore using its tools, only to bail when Sora was killed.

This isn't OpenAI's first rapid reversal. In January, the company deprecated GPT-4o just nine months after release, giving users only two weeks' notice. Such whiplash decisions have become increasingly common across the tech industry, but OpenAI's execution feels particularly amateurish.

The Product Assassin Hall of Fame

Tech history offers several cautionary tales about companies that mastered the art of product assassination, each with different motivations and consequences.

Google: The Serial Killer with a Heart Google has earned its reputation as the industry's most prolific product killer, inspiring websites like killedbygoogle.com to track its murderous ways. The company's motivations vary: sometimes products are genuinely bad (Wave), other times Google simply decides they're no longer needed (the basic HTML version of Gmail). In one notable case, Google tried to kill the legacy version of its Workplace suite to force paid upgrades, but reversed course when users angrily pointed out the company had promised it would always be free.

Despite its reputation, Google has generally been careful with business customers. The inconvenience of deprecated products is usually accompanied by fair warning and alternative solutions.

AWS: The Strategic Eliminator Amazon's cloud division has been more disruptive to its business customers. AWS frequently launches overlapping products and then kills the least popular ones. While this creates inconvenience, the company typically provides adequate transition paths and alternatives.

Broadcom: The Bundle Master Broadcom and its spiritual sibling Cloud Software Group represent a different approach: keeping software technically alive but only offering it in bundles. This completely changes how products are sold and tells users they'll be better off this way. Atlassian has employed similar tactics when killing on-prem products.

Netscape: The Vaporware Victim Perhaps the most instructive comparison for OpenAI is Netscape, which in the late 1990s created a fog of vaporware while trying to dominate both enterprise web infrastructure and consumer browsers. The company announced products and changed strategy before finishing them, creating such a convoluted codebase that it had to rewrite core offerings. This left Netscape dead in the water as Microsoft surged ahead.

OpenAI's Strategic Crossroads

OpenAI now faces a critical decision about what type of product assassin it wants to become. The company's current approach—killing products with minimal notice while leaving users' content in limbo—suggests it's still figuring out its identity.

The parallels to Netscape are particularly concerning. Like Netscape, OpenAI faces a powerful rival (Microsoft) that is both collaborator and competitor. The AI pioneer has also spread itself thin across multiple initiatives: the Stargate datacenter project, making OpenClaw fit for mass consumption, brain-computer interfaces, and possibly consumer hardware.

OpenAI's leadership clearly understands that becoming a product-killer is necessary for survival. The question is whether they can execute this strategy with the discipline and customer consideration that separates successful assassins from those who end up killing themselves.

The Business Model Question

The Sora debacle also highlights OpenAI's ongoing struggle to find sustainable revenue streams. The company is still "figuring out how to make money," even as it asks users to believe in its long-term vision. This uncertainty makes product decisions even more dangerous—killing a tool before establishing clear alternatives risks alienating both users and potential enterprise customers.

For business customers watching OpenAI's product assassination spree, the message is clear: expect disruption, demand clear transition plans, and perhaps most importantly, don't bet your business on any single OpenAI product until the company demonstrates more strategic discipline. The AI pioneer has shown it can create revolutionary technology, but whether it can build a sustainable business around that technology remains very much an open question.