THE CORRIDOR · Policy
Before the UAE won license-free access to US AI chips, the CIA sent a spy to vet G42
The price of US trust turned out to be ripping Chinese telecom and surveillance gear out of the UAE's flagship AI company, and cutting its ties to China.
Chandni Melwani
Founder & Editor
Jul 20, 2026 · 2 MIN READ
The News
A veteran CIA officer, Jonny Gannon, was assigned to Abu Dhabi in 2023 to judge whether the UAE's leading AI company, G42, could be trusted with advanced US technology, the Wall Street Journal reported. His role grew from investigating G42's China ties into a back-channel relaying what Washington required; G42 then stripped out its Chinese equipment and accepted new security and compliance terms. On July 10, 2026, the US granted the UAE license-free access to advanced AI chips, citing its support for US national security.
Know More
- — Who: Jonny Gannon, a veteran CIA officer, assigned to Abu Dhabi in 2023 under diplomatic cover at the US Embassy.
- — Target: G42, the UAE's leading AI company, in which Microsoft holds a $1.5 billion stake.
- — US concern: G42's ties to Chinese firms and its use of Chinese telecom and surveillance equipment, and the risk of US technology reaching Beijing.
- — What changed at G42: it reduced its China exposure, replaced Chinese equipment with US technology, and accepted added security and compliance requirements; a 2025 assessment found evidence of Chinese-hardware removal.
- — Result: on July 10, 2026, US Commerce granted the UAE expanded, license-free access to advanced AI chips, citing UAE support for US national security.
- — Source: reported by The Wall Street Journal, July 19, 2026.
The UAE’s license-free access to advanced US AI chips had a precondition that only surfaced this month: a CIA officer had to vet the company at the center of it. The Wall Street Journal reported that the agency sent a veteran operative, Jonny Gannon, to Abu Dhabi in 2023, under diplomatic cover at the US Embassy, to judge whether G42, the UAE’s flagship AI company, could be trusted with American technology.
This was a trust-test, not a favor. Washington’s worry was concrete: G42 used Chinese telecom and surveillance equipment and held partnerships that could route advanced US technology, or the data running on it, toward Beijing. Gannon started by investigating, scrutinizing G42’s leadership, partners, and security, including CEO Peng Xiao and the firm’s China ties. Over time, the Journal reports, his role shifted from collecting intelligence to brokering it: he became the channel telling the Emiratis what Washington required, and the credible insider whose verification eased US suspicions once G42 complied. G42 reduced its China exposure, replaced its Chinese equipment (a 2025 assessment found evidence of the hardware being pulled out), and accepted new security and compliance terms.
The chip decision is the other end of that process. On July 10, US Commerce granted the UAE license-free access to advanced AI chips, citing its support for US national security. New in AI covered the access itself; this is the machinery behind it, and it rhymes with the sovereignty terms attached to Microsoft’s presence in the country. The through-line across the corridor is consistent: US capability in the Gulf comes with US conditions, and the conditions are increasingly about China.
So what: the precedent is the story. For a Gulf firm that wants advanced US AI technology, China ties now have to be provably cut, and the check can run through US intelligence, not just compliance paperwork. That is a risk for anyone built on Chinese vendors, and an opening for the audit, verification, and decoupling services that turn “trusted” into something a US official will sign off on.
Related
- US grants UAE A:5 status, ending license rules on advanced AI chips — the access this vetting unlocked
- Inception42 and Microsoft integrate Catalyst with Copilot — the sovereignty conditions on US software in the UAE
Frequently Asked Questions
What did the CIA actually do at G42?
According to The Wall Street Journal, the CIA sent veteran officer Jonny Gannon to Abu Dhabi in 2023, under diplomatic cover, to assess whether G42 could be trusted with advanced US technology. He examined the company's leadership, partnerships, and security practices and pressed it, and Emirati officials, to cut its ties to China.
Why did the US care about G42's China ties?
G42 is the UAE's flagship AI company, and Washington worried it used Chinese telecom and surveillance equipment and had partnerships that could route advanced US technology, or data, back to Beijing. Advanced AI chips are export-controlled, so US trust in the end user is the gate.
How does this connect to the UAE getting US chips?
The vetting and G42's resulting decoupling are the backstory to the access. After G42 replaced Chinese equipment and accepted new compliance terms, US Commerce granted the UAE license-free access to advanced AI chips on July 10, 2026, citing UAE support for US national security. The chip decision and the intelligence work are two ends of the same process.
What is the precedent for other Gulf firms?
It sets a visible price of admission. For a Gulf firm that wants advanced US AI technology, the precedent is that China ties have to be provably cut, and the vetting can run through US intelligence, not just paperwork. That is a risk for firms tied to Chinese vendors and an opening for the compliance and verification layer around them.
Sources
- Wall Street Journal (via Techmeme), "CIA operative Jonny Gannon spied on G42 to probe its China ties and helped the UAE gain expanded access to US AI chips" (July 19, 2026)
- The Jerusalem Post, "CIA operative helped UAE secure access to advanced US AI technology amid China links fears" (July 2026)
- SOFX, "CIA Probe Helped UAE Secure Access to Advanced U.S. AI Technology, Report Says"
- US House Select Committee on the CCP, "Gallagher calls on USG to investigate AI firm G42's ties to PRC military/intelligence"
Chandni Melwani
Chandni Melwani is the founder and editor of New in AI, covering AI agents, M&A, and enterprise adoption. She holds a Master's in Management of Artificial Intelligence from Queen's University and brings a practitioner's perspective from her work in Data and AI leadership.
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