
Jensen Huang
American entrepreneur and businessman; co-founder and CEO of Nvidia
Source: Wikidata — retrieved 10/11/2026 (wikidata)Dispute
Profile Summary
A net worth stated in this summary may be out of date.
Jensen Huang is an American entrepreneur and businessman, born in 1963, and the founder and CEO of Nvidia. He built his wealth through Nvidia, which designs graphics and AI chips used in gaming, data centers, and modern artificial-intelligence systems; his estimated net worth is ~$151.0B. Wikidata RTB
Business & SEC Activity
Huang is Nvidia's co-founder and CEO. Nvidia designs graphics processing units (GPUs) and AI chips for gaming, data centers, and AI systems. RTB
Philanthropy
Three Huang Family Foundation filings for tax year 2023 reported combined assets of $1,804,916 and grants paid of $483,333. The Newport Beach, California foundation reported $1,690,822 in assets and $464,233 in grants; the Saratoga, California foundation reported $74,053 in assets and $6,000 in grants; and the North Oaks, Minnesota foundation reported $40,041 in assets and $13,100 in grants. ProPublica 990
Political Activity
Federal Election Commission records show one contribution totaling $100, dated December 18, 2025, to Jon Ossoff for Senate. All reported donations in these records went to Democratic recipients: $100. FEC
These donations are matched to this person by name only, so some may belong to a different person with the same name: FEC filings can include a donor's employer and city, but our matching does not check them against what we know about this person.
In the News
A NewsAPI result dated August 21, 2026 reported on Huang's fortune and Nvidia's role in the AI market. Other August 2026 coverage discussed his use of X and Nvidia's AI-infrastructure and sales forecasts. NewsAPI
U.S. Presence
Business
Designs the graphics and AI chips (GPUs) that power gaming, data centers, and most modern artificial-intelligence systems.
Source: NvidiaPhilanthropy
Foundations are matched to a person by name, not by trustee records — so a same-surname family foundation can land here in error. Every entity below links to its full IRS filing; if one doesn’t belong, tell us at hello@skylarkcreations.com and we’ll pull it.
Political Contributions
By Party
Top Recipients
Matched by name only. These donations are matched to this person by name only, so some may belong to a different person with the same name: FEC filings can include a donor's employer and city, but our matching does not check them against what we know about this person.
News Coverage
Coverage window: 2026-08-21 · retrieved 8/22/2026
Score Breakdown
The giving score is a weighted average of 2 components. The formula is open and versioned — the weight percentages below show how much each component contributes to the final score.
Evidenced charitable giving — built on what they actually give each year, not parked assets. Dominated by generosity (annual giving relative to net worth — the share of your fortune you give), plus the absolute scale of that giving, plus a small nudge for signing the Giving Pledge (a commitment, not a realized action).
Data: ProPublica 990 charitable disbursements, net worth, The Giving Pledge registry
How much sourced public record we hold about this person — net worth, SEC filings, foundation 990s, news coverage, Wikidata. It measures our coverage, not how open the person is. Each further kind of record scores higher, up to eight. Political donation records matched to a person by name alone are not counted: they may belong to someone else with the same name. From October 7, 2026, our own AI-written summary and the profile photo are not counted either — neither is a public record — so grades that leaned on them moved down that day.
Data: SEC EDGAR, ProPublica 990s, GDELT / NewsAPI, Wikidata
Formula (v2): Giving score = 65% x Philanthropy + 35% x Data coverage
Scored on 10/16/2026 on a 0–100 scale. The score uses only the signals we have populated data for. Goal Impact, Controversy, and Community Approval are deferred until that data exists — Phase 1 goal adoption, controversy detection, and community votes respectively.
All data is sourced from public records. Each section links to its original source. View on Wikidata