May 20th, 2026
Don't Let Your Patent Sink with AI Inventorship

Carlos R. Villamar on AI-assisted inventorship: U.S. patents still require a human inventor — what counts as a meaningful human contribution when AI is in the loop.
Determining and naming proper inventorship in a patent application is an important consideration that should not be overlooked. This issue has become even more important as inventors, companies, engineers, and product teams increasingly use artificial intelligence tools during the innovation process. Improper inventorship can create serious problems down the line, including challenges to ownership, enforceability, and validity.
Under current U.S. patent law, an inventor must be a natural person. In other words, an artificial intelligence system cannot be named as an inventor or co-inventor on a U.S. patent application. However, that does not mean inventions developed with the assistance of AI are unpatentable. The key question remains whether one or more human beings conceived of the claimed invention.
An AI tool that merely generates output based on an inventor's specification is not an inventor.
A practical way to evaluate AI-assisted inventorship is to ask who conceived of the features that are actually claimed.
Assume that an inventor is an avid golfer and conceives of a new and novel golf club head design. The inventor prepares a detailed specification for the golf club head and uses an AI tool to generate drawings, dimensional variations, manufacturing suggestions, or prototype instructions based on the inventor's own specification. In that situation, the AI tool is not an inventor. The AI is functioning like a machinist who fabricates a prototype according to the inventor's instructions.
Similarly, if an inventor conceives of a software architecture and uses an AI coding tool to generate source code implementing that architecture, the AI tool is not an inventor. The AI is merely assisting with implementation.
Now, let's assume the facts change. The inventor asks an AI system to propose ways to improve the golf club head. The AI system outputs a new configuration that includes additional structural features that improve ball flight, and the human user merely copies those features into a patent application without having conceived of them or meaningfully contributing to their development. In that situation, a serious inventorship issue may arise.
This is where AI-assisted inventorship differs from the traditional machinist or software programmer example. A human machinist or software programmer who contributes new and non-obvious subject matter that is later claimed may become a co-inventor. An AI system, however, cannot be named as a co-inventor. Accordingly, the critical question is not whether the AI contributed useful output, but whether one or more human beings made a significant contribution to the conception of the claimed invention.
AI may assist the inventive process, but inventorship still depends on the human contribution to the claimed invention.
The same reasoning applies to software inventions. If a human inventor conceives of the technical solution, defines the system architecture, specifies the data flow, identifies the machine-to-machine interactions, and uses AI merely to generate implementation details, the human inventor remains the inventor. But if an AI system supplies a claimed technical feature and no human can honestly say that he or she conceived of that feature, the patent application may face an inventorship problem.
Using AI does not defeat inventorship, but relying on AI to supply the claimed inventive concept may create an inventorship gap.
Inventorship is determined based on the claims of a patent application. Accordingly, if claims are cancelled, amended, or added, inventorship may have to be reviewed to ensure that the named inventors correspond to the claimed subject matter. This is especially important for AI-assisted inventions because claims may evolve during drafting or prosecution.
Because patent applications often remain pending for several years, determining inventorship after the fact can be difficult. For AI-assisted inventions, keeping careful records is more important than ever. Inventors and companies should document the human contribution, including prompts, AI outputs, human modifications, design decisions, technical reasoning, rejected alternatives, and the final claimed features. A traditional lab notebook, engineering notebook, invention disclosure form, or AI-use log may be helpful for determining proper inventorship down the road.
Keeping records of the human contribution when AI tools are used may be critical for determining proper inventorship later.
Careful inventorship review can help prevent AI-related inventorship issues from undermining an otherwise valuable patent. AI can be a powerful tool for innovation, just like computer-aided design software, simulation tools, laboratory equipment, a machinist, or a software developer. But the patent system still requires a human inventor.
Finally, it is important to find a patent attorney who takes the time to understand your technology, your use of AI tools, your business model, and your development process to ensure that an IP strategy is executed in a focused and efficient manner.
“It is also important to find a patent attorney who takes the time to understand the needs of the inventors, start-ups and business partners”
*This article is provided by the author with the understanding that it does not constitute the rendering of legal advice or other professional advice by The Villamar Firm PLLC or its attorney.

