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TikTok’s algorithm evolved from dance videos to a shopping engine, reshaping social media commerce over its first decade

Executive summary: TikTok’s algorithm has turned the app from a dance‑video platform into a shopping‑focused service over the past decade. The shift shows how core recommendation technology can redefine business models in social media, boosting e‑commerce integration and ad spend while prompting regulatory oversight.

Who is involved: TikTok (ByteDance), its global user base, advertisers, e‑commerce partners, and regulators in the EU, US and China.

Likely next: Further expansion of TikTok Shop, deeper AI‑driven content personalization, and ongoing regulatory reviews of algorithmic transparency and teen data protection.

Over ten years, TikTok’s recommendation system has shifted the platform from a viral video hub to a powerful e‑commerce driver, integrating short‑form content with in‑app shopping. This transformation illustrates how algorithmic innovation can create new revenue streams while attracting regulatory scrutiny over data use and market power.

What's next — scenarios

Base: steady growth with moderate oversight (50%)

TikTok maintains ~10% YoY ad revenue growth as AI enhancements roll out and regulatory scrutiny remains limited to existing frameworks.

Upside: TikTok Shop scales globally (30%)

Advertising revenue rises ~25% YoY and TikTok Shop gross merchandise value exceeds $50 bn as fulfillment networks expand.

Downside: regulatory setbacks in key markets (20%)

Ad revenue declines ~15% YoY and TikTok loses access to major EU markets after enforcement actions.

What to watch

Timeline

Analysis — what this means

Likely next events

Sectors affected

Regulatory implications

Key entities

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Related cases

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