TikTok, with over 150 million monthly active users in the United States and billions in monthly ad revenue, is now being valued at just $14 billion in its latest acquisition talks. This figure is far below the $50–100 billion range analysts had expected, and represents less than one-tenth of its annual revenue. Why has one of the world’s top AI-driven platforms been priced so low? Is its business model deteriorating, or is political risk reshaping valuation logic?
Participants: Oracle, Silver Lake, and Abu Dhabi’s MGX fund
Structure: Consortium expected to acquire 45–50% ownership and board seats
Expectation gap:
Analyst estimates: $50–80 billion for TikTok’s US business
Negotiated price: $14 billion, a discount of more than 70%
Comparison:
YouTube was acquired by Google for $1.65 billion in 2006, with a user base one-tenth the size of TikTok’s current US presence. Today YouTube’s ad revenue exceeds $30 billion annually, with valuations in the $200–300 billion range.
TikTok’s US revenue in 2025 is projected at $15 billion. Using a typical internet company P/S multiple of 5–7x, TikTok’s US business should be valued at $75–105 billion.
At $14 billion, this is essentially a clearance price.
The US Congress has repeatedly raised concerns about TikTok’s data security and national security implications. Proposed “TikTok ban” legislation has advanced several times, including requirements for ByteDance to divest its US operations. For investors, this creates an ever-present risk of total loss, justifying steep discounts.
TikTok’s core value lies in its recommendation algorithm, which remains a proprietary asset of ByteDance. The deal does not involve full transfer of this IP, meaning US buyers would not gain access to the “soul” of the platform. Without the algorithm, TikTok is little more than a shell.
The buying group consists of financial investors (PE funds) and an infrastructure player (Oracle), not strategic acquirers like Google or Meta who might pay a premium for synergy. Their valuation models rely more on discounted cash flow than strategic value, leading to a lower offer price.
User Base
Over 150 million Americans use TikTok monthly, roughly half of the US population. Penetration among Gen Z surpasses Instagram.
Advertising Revenue
Projected 2025 ad revenue of $15 billion. By comparison, YouTube’s US ad revenue is around $18 billion, yet its valuation is many times higher.
AI-driven Recommendation Engine
TikTok is the most successful AI-powered content distribution platform globally. Average user time spent exceeds 90 minutes per day, far higher than YouTube (70 minutes) or Instagram Reels (40 minutes). Its “interest-based recommendation” model has become the industry benchmark.
From both a business and technology perspective, TikTok’s value has not diminished—it continues to rise.
Data security anxiety: Persistent US distrust of China-linked platforms imposes a “political risk tax.”
Investor caution: Buyers demand a wide margin of safety given the threat of bans or forced divestitures.
Limited capital pathways: TikTok’s monetization potential is capped by geopolitical pressure, even though its platform cannot be easily replicated.
It is akin to a mansion worth $10 million being priced at $2 million simply because it sits on contested land.
The steep discount on TikTok’s US valuation is not a sign that AI platform value is eroding. It reflects how geopolitics can override fundamentals in capital markets.
For investors, this could either be $14 billion buying $100 billion in value, or $14 billion buying a regulatory headache.
For the AI platform industry, it underscores that technology and users cannot fully shield against political risk. Any cross-border AI giant must now factor in geopolitical premiums or discounts.
For the US market, even if TikTok is “acquired” at a bargain price, its algorithm and data-driven edge will remain difficult to replicate, making this potentially a historic mispricing.
The TikTok valuation debate is a textbook case of AI platform commercialization colliding with geopolitical risk. For more in-depth analysis on AI business models, capital flows, and policy challenges, visit iaiseek.com/en.