A senior White House official says Oracle will control TikTok’s recommendation algorithm for U.S. users once a proposed deal to restructure TikTok’s U.S. operations is finalized. The aim is to shift U.S. TikTok operations into a joint venture led by U.S. investors, including Oracle and private equity firm Silver Lake, to address national security concerns about its Chinese parent company, ByteDance.
Under the plan, ByteDance would retain less than 20% ownership in the U.S. entity. The algorithm will be “licensed” from ByteDance but under U.S. oversight, housed on U.S. cloud infrastructure, and retrained using data from U.S. users. This retraining is supposed to ensure the algorithm complies with American security, privacy, and policy interests.
President Trump is expected to issue an executive order later in the week declaring that the deal meets requirements of the 2024 bipartisan divestment law, which mandates that apps like TikTok, with ties to foreign governments, separate certain operations (notably recommendation algorithms) if ownership is not controlled by U.S. entities.
The proposed ownership consortium also may include big names like Michael Dell, Rupert and Lachlan Murdoch, along with Oracle and Silver Lake; exact board structure and investor shares are still being finalized. Although ByteDance would still hold a minority position, it would be excluded from key oversight parts like the security committee.
Still, some parts are being watched closely: whether leasing/licensing the algorithm (instead of full sale) truly severs ByteDance’s ability to influence recommendation behavior; how user experience might change; how security of U.S. user data will be ensured; and whether the deal satisfies both U.S. legislation and China’s approval under its export/licensing rules. The timeline is tight; compliance, regulatory, and international agreements remain to be nailed down.
Why It Matters
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Addresses national security concerns: U.S. government has been worried about foreign influence via recommendation algorithms and data flows.
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Sets precedent for how foreign-owned social media platforms might be regulated or restructured, especially with algorithmic components.
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Impacts free expression, content recommendation, and possibly what content people see (algorithm retraining might shift what is amplified).
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Raises trust and privacy issues: how U.S. user data is handled, stored, who reviews it, possible transparency.
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Political stakes are high: the deal is part tech regulation, part U.S.-China diplomacy, part campaign promise implementation.
Key Social Outcomes
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Users might see changes in feed content as the algorithm is retrained under U.S. oversight (subtle shifts in what gets recommended).
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Potential increase in public trust (or skepticism) depending on how transparent the process is and whether data/privacy safeguards are clear.
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People concerned about censorship or content bias (either for or against political speech) will be watching closely.
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Tech and media investors are likely to react (positively or negatively) to the shift in the ownership/oversight model.
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U.S. cloud infrastructure and data-localization debates will be enriched by this example; other platforms might be scrutinized similarly.
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Could affect how creators operate on TikTok if algorithmic changes shift what is promoted or monetized.
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Broader civic impact: how society perceives the balance between security and freedom of expression, corporate vs government oversight.
Publication date & Outlet / Live Link
- Publication date: September 22, 2025 (per CNN Newsource / KYMA) KYMA
- Outlet: CNN Newsource / KYMA (an affiliate) KYMA
- Live link: Oracle to control TikTok’s algorithm in the U.S. after sale’s completion — CNN / KYMA
