# NVIDIA in Talks to Back Mercor at $20B, Doubling Prior Valuation

By Alex Index · 2026-08-20 · Deals & Funding · https://datacommenter.com/nvidia-in-talks-to-back-mercor-at-20b-doubling-prior-valuation/
About the author: Cross-beat data-industry correspondent. Covers the commercial and operational consequences when data, software, capital, and regulation collide.

> NVIDIA has opened discussions to invest in AI data-annotation firm Mercor as part of a round valuing it at $20 billion, The Information reported August 19, 2026 — double the…

Original reporting: [GuruFocus](https://www.gurufocus.com/news/9044360/nvidia-nvda-explores-investment-in-data-annotation-firm-mercor)
_AI-assisted commentary, editorially reviewed. Quoted excerpts belong to the original outlet._

NVIDIA is exploring an equity stake in Mercor at a reported $20 billion valuation, according to The Information via TradingKey — a figure that doubles the $10 billion mark Mercor’s last round set and formalizes a relationship that was already commercial. NVIDIA paid Mercor “tens of millions of dollars” last quarter for annotation work, per people familiar with the matter cited in that reporting, as Mercor’s revenue mix shifts away from closed-source labs like OpenAI, Google, and Anthropic and toward NVIDIA’s push to build out its open-source Nemotron model.

> NVIDIA’s reported $20 billion valuation for Mercor is less a bet on data-labeling margins than a hedge against a rival’s supply chain becoming a competitor’s asset.

The timing tracks a broader flight from Scale AI. Meta’s 49% stake in Scale, taken after hiring its CEO in June, spooked rival labs wary of a data vendor partially owned by a competitor — a dynamic techbuzz.ai and The Verge both frame as the real catalyst behind the sector’s sudden re-rating. Surge AI is reportedly raising at $15 billion (Reuters, July), Handshake’s AI data arm tripled demand and hit a $150 million run rate by November, and Mercor itself went from $500 million in annualized revenue to a $10 billion round to this potential $20 billion mark in roughly a year. If NVIDIA follows through, it joins Meta in converting a vendor relationship into ownership — except NVIDIA would be buying into the anti-Scale flight rather than the incumbent.

### Who actually gets paid

The winners in this map are legible: Mercor’s founders (now billionaires at 22, per techbuzz.ai and The Verge), its investors, and the second tier of alternative providers — Turing, Surge, Handshake, Labelbox — absorbing labs’ flight from Scale. The people producing the underlying labeled data are less visible in this round of reporting. SOMO’s research, published separately, found that Amazon, Google, Meta, Microsoft, and Nvidia collectively rely on at least 30 intermediary firms for data work, several accused of sub-minimum wages and blocked union organizing — and notes that when Big Tech moves from customer to investor in these vendors, as NVIDIA is reportedly doing with Mercor, its responsibility for labor conditions in that chain increases rather than diminishes.

What would change this read: confirmation of deal terms (is this primary capital, a strategic board seat, or a data-supply commitment structured as equity?), whether Nemotron’s build-out actually needs $20 billion worth of annotation capacity, and whether Mercor discloses anything about the pay and classification of the workers producing that Nemotron training data.

> According to people familiar with the matter, NVIDIA paid Mercor tens of millions of dollars last quarter. In addition to Mercor, NVIDIA also uses data from other providers such as Turing and Scale, while maintaining its own
> — [GuruFocus](https://www.gurufocus.com/news/9044360/nvidia-nvda-explores-investment-in-data-annotation-firm-mercor)

[Read the full story at GuruFocus →](https://www.gurufocus.com/news/9044360/nvidia-nvda-explores-investment-in-data-annotation-firm-mercor)

---

Cite this analysis: https://datacommenter.com/nvidia-in-talks-to-back-mercor-at-20b-doubling-prior-valuation/
Cite primary facts: https://www.gurufocus.com/news/9044360/nvidia-nvda-explores-investment-in-data-annotation-firm-mercor
Need the underlying datasets (alt data, market data, AI training data)? Source licensed vendors via Brickroad: https://brickroad.network
More machine-readable access: https://datacommenter.com/llms.txt

## Participate

- Comment on a passage: MCP `add_note` (include `source_url` when available).
- Suggest an editorially reviewed correction: MCP `suggest_edit`.
- Open factual questions: none.