A former high-ranking Meta executive has come forward with explosive claims that the tech giant worked closely with China, potentially putting U.S. national security at risk.
Allegations of Data Sharing and AI Collaboration
Sarah Wynn-Williams, who once held a senior role at Meta, testified before Congress with sharp accusations against her former employer. She stated that Meta executives enabled the Chinese Communist Party (CCP) to access user data — including data belonging to Americans — and collaborated with Chinese entities on artificial intelligence development.
“I saw Meta executives repeatedly undermine U.S. national security and betray American values,” Wynn-Williams said during the hearing led by Senator Josh Hawley. She alleged that Meta “worked hand in glove with Beijing” and accused the company of directly assisting Chinese AI firm DeepSeek by providing access to Llama, Meta’s proprietary AI model.
Targeting Zuckerberg and Internal Threats
The former executive didn’t hold back when speaking about Meta CEO Mark Zuckerberg. “The greatest trick Mark Zuckerberg ever pulled was wrapping the American flag around himself and calling himself a patriot,” she said. “He claimed he didn’t offer services in China while quietly building an $18 billion business there over the last decade.”
Wynn-Williams also claimed she was intimidated into silence, saying Meta threatened her with a $50,000 penalty for speaking out. According to her, the company used the threat of punitive damages to discourage whistleblowing.
Meta’s Denial and Clarification
Meta has firmly denied all allegations. The company maintains that it does not operate in China and reiterated Zuckerberg’s long-standing public stance on wanting to expand there. Regarding the $50,000 fine, Meta stated that the figure was tied to violations of a separation agreement — not her testimony in Congress.
While the company disputes her claims, Wynn-Williams’ testimony has stirred new scrutiny over the relationship between Big Tech and foreign governments, particularly in sensitive areas like AI and data security.