The five largest patent offices in the world, responsible for roughly 85% of all patent applications filed globally, are coordinating new rules to handle inventions generated by AI agents. The European Patent Office, Japan Patent Office, Korea’s Ministry of Intellectual Property, China’s National Intellectual Property Administration, and the USPTO have committed to a comprehensive review of their joint AI roadmap, according to an EPO statement from their Tokyo meeting. The urgency is not theoretical: AI agents are active participants in drug discovery, chip design, materials research, and software architecture, generating patentable output at speeds and volumes the examination infrastructure was not built for, PYMNTS reported on June 15.
The filing numbers explain why the offices are moving now. WIPO found that innovators worldwide filed 3.7 million patent applications in 2024, a 4.9% increase over 2023 and the fastest year-on-year growth since 2018. AI and computer technology were named as the core drivers. Since the introduction of the transformer architecture in 2017, generative AI patents have increased by over 800%, with 2023 alone accounting for more than 25% of all generative AI patents ever filed, according to WIPO’s generative AI patent landscape report.
The USPTO Framework: Humans Only
The USPTO issued revised guidance establishing that AI systems are tools, not inventors, and that only natural persons can be named as inventors on U.S. patent applications. The traditional “conception standard” governs all inventions regardless of AI involvement. Conception, legally, is the formation in the mind of the inventor of a definite and permanent idea of the complete and operative invention. An AI system that proposes a novel compound or generates a software architecture does not meet that standard. The human directing the process must have independently formed that settled idea.
For companies deploying agentic AI in R&D, the implication is direct: every AI-assisted invention needs documented human contribution at the conceptual level. The agent can search, generate, and optimize. The human must conceive. Organizations that cannot draw that line clearly in their documentation are filing patents that may not survive review.
The Gaps Courts Have Not Closed
The guidance answered the inventorship question. It left others open. The Oxford Journal of Intellectual Property Law and Practice found that while the framework reaffirms human-only inventorship and treats AI as an instrument analogous to laboratory equipment, unresolved questions remain that could yield inconsistent Patent Trial and Appeal Board and court decisions, eroding predictability across the patent system.
The conception standard was designed for a world where a human engineer worked through a problem from first principles. It does not describe a workflow where an agent processes ten million molecular combinations overnight and surfaces three candidates worth patenting. The human who directed that process contributed something. Whether that contribution constitutes conception under the law is a question courts and patent boards have not yet answered consistently.
The Documentation Race
The five offices reviewing their joint AI roadmap are not debating a future scenario. They are managing a filing surge already underway, and the examination systems have not kept pace. For companies building with agents, the practical takeaway is documentation: who prompted what, who selected which output, who made the inventive leap from raw agent output to filed claim. Without that paper trail, the patent may not survive challenge regardless of how novel the underlying invention is.