# OpenAI Agrees To Trump Model-Review Order > Source: > Published: 2026-06-05 09:55:26.297103+00:00 # OpenAI Agrees To Trump Model-Review Order George Osborne, OpenAI's Head of Countries, told CNBC that **OpenAI** will comply with President Donald Trump's AI executive order, CNBC reports. The order, signed by Trump on Tuesday, asks companies to provide access to AI models **30 days** before public release for a federal benchmarking process, CNBC writes. Osborne told CNBC, "It's quite right that democratic governments have a big role to play in how this technology is used and deployed," and said the company has "proactively suggested ways that governments can keep a track on safety and security issues," CNBC reports. The order seeks to assess the "advanced cyber capabilities of AI models" and to determine thresholds for designating a "covered frontier model," CNBC reports. ### What happened Per CNBC, **OpenAI** told CNBC it will comply with President Donald Trump's AI executive order, George Osborne, Head of Countries at OpenAI, said in an interview with CNBC. The order, signed by the President, requests companies provide access to AI models **30 days** before their release for a federal benchmarking process, CNBC reports. CNBC cites the order's language that the benchmarking aims to assess the "advanced cyber capabilities of AI models and determine the threshold at which an AI model should be designated a 'covered frontier model'." Osborne, speaking on the sidelines of SXSW in London, said, "It's quite right that democratic governments have a big role to play in how this technology is used and deployed," and added that OpenAI has "proactively suggested ways that governments can keep a track on safety and security issues, not just in the U.S., but more broadly," CNBC reports. ### Technical details Editorial analysis: Pre-release government review regimes typically create new operational checkpoints for model evaluation. For practitioners, this usually implies additional work around standardized benchmarking data, reproducible evaluation pipelines, and secure environments for sharing model binaries or containerized artifacts with external reviewers, while balancing IP and security constraints. ### Context and significance Editorial analysis: Public compliance by a leading model developer reduces near-term regulatory friction and sets a visible precedent other vendors may follow or react to. The order's emphasis on a 30-day review window and on defining "covered frontier model" establishes concrete parameters that industry and policy teams will need to translate into release timelines, documentation, and risk-assessment workflows. ### What to watch Editorial analysis: Observers should track: - •whether other major labs announce similar compliance - •how benchmarking protocols and data-access rules are defined and governed - •practical details about what constitutes sufficient disclosure during the **30-day** window and how proprietary protections are managed. CNBC is the primary source for the reported statements quoted here ### What's next ### Bottom line ### Why it matters ## Scoring Rationale The story affects model release workflows and compliance practices for AI teams and sets a visible precedent in U.S. AI governance. It is notable but not paradigm-shifting. Practice interview problems based on real data 1,500+ SQL & Python problems across 15 industry datasets — the exact type of data you work with. [Try 250 free problems](/problems)