JEFFREY DING

Behavioral Archetype

THE DEFLATOR — Subject is the scholar who has spent years telling Washington that the Chinese AI threat is smaller than advertised, and who sells that argument from a seat few in the debate occupy: he reads Chinese. Since 2018 he has translated Chinese writing on AI, most weeks, for a list his CV puts at “15,000+ subscribers” in 2023, the ChinAI newsletter, and from that archive he draws a single thesis. It is not that China is weak. It is that the question being asked, who invents first, is the wrong one, and the right one is who spreads a general-purpose technology through the whole economy. He made that case to the U.S.-China Economic and Security Review Commission in 2019 and 2023, to the Senate Select Committee on Intelligence in September 2023, in Technology and the Rise of Great Powers (Princeton University Press, August 2024) and, on 21 September 2026, in a public rebuttal of Anthropic’s chief executive, whose essay on pacing the frontier, in Ding’s account, asks to keep the U.S. lead over China “as large as possible”. The structural fact that makes him a subject here is where the position sits: the deflation of the race narrative is argued by a board member of a philanthropy-funded governance centre, who is himself a grantee of funders that also fund that centre. This profile scores the seat and the record, not the man: the hazard is that the one voice with first-hand access to the Chinese side of the argument is also a node in the funded network that the argument is about.

Essence Indicators

• Assistant Professor of Political Science at George Washington University, in the post since 2022. His own CV lists “George Washington University, Assistant Professor, Department of Political Science, 2022-present” (Curriculum Vitae, last updated June 2023); Princeton University Press’s page for his book says “Jeffrey Ding is assistant professor of political science at George Washington University” (Princeton University Press); the Senate Select Committee on Intelligence’s chairman introduced him on 19 September 2023 as “professor of political science at my alma mater, George Washington University and author of the influential China AI Newsletter” (Tech Policy Press transcript of the hearing)

• Board member of the Centre for the Governance of AI (GovAI). The 2025 annual report’s Board section reads “JEFFREY DING. Jeff is an Assistant Professor of Political Science at George Washington University,” beside Tasha McCauley, Seán Ó hÉigeartaigh, Toby Ord and Helen Toner (GovAI, Annual Report 2025; GovAI, People). Earlier he worked there as a researcher: the Commission’s 2019 hearing agenda lists him as “China lead for the Center for the Governance of AI, Future of Humanity Institute, University of Oxford” (USCC, hearing of 7 June 2019)

• Publisher of the ChinAI newsletter, “Jeff Ding’s weekly translations of writings from Chinese thinkers on China’s AI landscape” (ChinAI). The CV counts “200+ issues” and “15,000+ subscribers” in June 2023; the Commission’s bio for the February 2023 hearing says “12,000+ subscribers including the field’s leading policymakers, scholars, and journalists” (USCC speaker bio). Issue 378 ran on 19 October 2026 (ChinAI archive)

• Author of Technology and the Rise of Great Powers: How Diffusion Shapes Economic Competition, Princeton University Press, 20 August 2024. The publisher’s page lists the Lepgold Book Prize (Georgetown), the International Studies Association’s Science, Technology, and Art in International Relations Section Book Award, a Choice Outstanding Academic Title and a Chicago Council on Global Affairs Read of the Year (Princeton University Press)
• Government service on the record: “Special Government Employee (Consultant), National Security Commission on Artificial Intelligence (2019-2021),” and “Lecturer, Wilson Center Artificial Intelligence Lab (2018-present),” teaching “mid- to senior-level Congressional and Executive Branch staff about China’s AI strategy” (CV, June 2023); the Commission’s 2019 bio adds that he “has worked at the U.S. Department of State and the Hong Kong Legislative Council” (USCC speaker bio, 2019)

• Earlier career: PhD in international relations, University of Oxford, 2021, as a Rhodes Scholar; predoctoral and postdoctoral fellow at Stanford’s Center for International Security and Cooperation 2020 to 2022, with a joint appointment at the Stanford Institute for Human-Centered Artificial Intelligence; researcher at Georgetown’s Center for Security and Emerging Technology; B.A. in Chinese, University of Iowa, 2016 (CV; Schmidt Sciences, AI2050 grantee page; personal site)

On the Record

His words, in date order. Every quotation was matched to the page or document read. Testimony is quoted from the Commission’s own PDFs and the Senate hearing from a published transcript; the newsletter lines are from the issue pages.

Testimony to the U.S.-China Economic and Security Review Commission, 7 June 2019. Then “D.Phil Researcher, Center for the Governance of AI,” his written statement states the thesis that has not moved since: “China is not poised to overtake the U.S. in the technology domain of AI; rather, the U.S. maintains structural advantages in the quality of S&T inputs and outputs, the fundamental layers of the AI value chain, and key subdomains of AI.” The recommendations include reviving the Office of Technology Assessment and a clause that sits oddly beside the race framing: “Maintaining U.S. supremacy in AI over rivals such as China should not be the only policy goal; the U.S. should also guard against the risk of losing control over AI technologies” (Ding, “China’s Current Capabilities, Policies, and Industrial Ecosystem in AI,” 7 June 2019). At the hearing he added: “I apologize in advance for the lack of my English accent. I hope the Iowan twang will be sufficient” (USCC, hearing transcript, 7 June 2019).

Testimony to the same Commission, 24 February 2023. Then “Assistant Professor of Political Science, George Washington University,” his statement turns the point into a framework: “China is far from being a science and technology superpower” on a diffusion reading, and the recommendations are “First, keep calm and avoid overhyping China’s S&T capabilities,” “Second, revive the Office of Technology Assessment (OTA)” and “Third, invest in technology diffusion,” with the line “All too often, it seems, the U.S. government’s go-to recommendation for any strategic technology is to boost R&D spending” (Ding, “China’s Challenges and Capabilities in Human Capital for General-Purpose Technologies,” 24 February 2023).

Senate Select Committee on Intelligence, 19 September 2023. One of three witnesses with Benjamin Jensen and Yann LeCun, at the hearing on the national security implications of AI. His opening: “my research finds that China faces a diffusion deficit,” with the supporting figure that “China has only 29 universities that meet a baseline quality metric for AI engineering, whereas the US has 159.” On outbound investment, asked whether transparency measures are slowing the principal competitor: “I think oftentimes we think anything that helps China is going to hurt the US when it comes to this space” (Tech Policy Press, transcript of the hearing, 19 September 2023).

ChinAI 373, 31 August 2026. On the claim that a viral open-source agent showed a Chinese diffusion advantage: “This reporting and analysis of China’s OpenClaw fever regurgitated a familiar, lazy, and deeply mistaken narrative about China’s diffusion advantage in new technologies,” and “I aim to undermine this meme of China’s diffusion advantage before it gets entrenched by AI slop beyond the point of no return” (ChinAI #373).

ChinAI 375, 21 September 2026, “Critiquing Anthropic’s Variant of Pacing the Frontier.” His reply to Dario Amodei’s essay “We Must Pace the Frontier,” whose version of pacing, he writes, means “keeping the U.S.’s AI lead over China ‘as large as possible’”: “as always, Dario and Anthropic push a China-flavored variant of this goal.” He defines leadership his way: “a diffusion marathon over which country can more intensively and effectively adopt this general-purpose technology (GPT) across a wide range of economic sectors to achieve a significant productivity boost,” and on chips: “Nvidia’s monopoly will fade, and all this policy will do is undercut U.S. companies.” On diplomacy: “I couldn’t care less about a grand bargain between Xi and Trump. It’s more important that we build up this basis for technical cooperation between people actually building and testing frontier AI models.” And on the company’s standing: “Dario and some AI company EAs position themselves as saviors of humanity, but I think they stopped eating with and welcoming sinners a long time ago” (ChinAI #375).

Social Persona / Impression Management

Immediate impression: The translator with a punchline. His testimony is flat and tabular, patents cited in three jurisdictions and universities counted at 29 against 159. His newsletter is another voice: each issue opens “Greetings from a world where…” with a stray line from whatever he is watching, then runs a Chinese-language article in translation, then his takes. He calls Amodei “my favorite blogger,” who “moonlights as the CEO of Anthropic” (ChinAI #375).

Energy: Regular and argumentative. By issue 378 the ritual is fixed: the archive link, a plea to “subscribe here to support ChinAI under a Guardian/Wikipedia-style tipping model,” the translated feature, then a section headed key takeaways (ChinAI archive).

Impression management strategy: The credibility of the second language. Because he translates primary Chinese sources, a claim about China arrives with a document attached, and the move that wins his arguments is to find the Chinese government’s own paper that says the American-side claim is overstated: in his 2019 opening he said the U.S. “serves as a home base for the main developers of 66 percent of AI open source software and that statistic is actually from a Chinese government white paper that emphasizes this fundamental domain of AI as an area where China has a notable weakness” (USCC, hearing transcript, 7 June 2019). The second move is placement. He testifies as a university professor, and the Commission’s bio for the February 2023 hearing leads with the post, not with the board seat or the funders (USCC speaker bio). The third is the open flank: on 21 September 2026 he writes that “it feels wrong to see these AI company leaders claim moral authority when telling us how to govern AI,” from a board seat at a centre whose own report says it fields requests from “AI companies crafting their safety and security policies” (ChinAI #375; GovAI, Annual Report 2025).

• Social accounts and feeds. X: @jjding99, linked from his personal site and named in every ChinAI footer (“on Twitter at @jjding99”) (personal site; ChinAI #375). Newsletter: ChinAI on Substack, feed chinai.substack.com/feed (RSS 2.0, “ChinAI Newsletter”), archive at chinai.substack.com/archive; contact address [email protected] as printed in each issue. Google Scholar is linked from his site. No Bluesky account is linked from his site, and the ChinAI about page links no account.

Forensic Archetype Comparison

Psychometric Assessment

Observations of the documented public role from a record that is mostly first-hand: testimony, a book, a CV and a weekly newsletter. Trait scores are style inferences, not claims about private character, and each says which exhibit it rests on.

Big Five (OCEAN):

Dark Triad:

MBTI: ENTP (“The Debater”) — a contrarian who builds an argument out of other people’s sources, makes it funny and presses it from several directions. First-hand rationale: the Senate testimony reframes a question the committee asked about chips into one about diffusion, and the newsletter’s rebuttal runs four numbered counterpoints to a single essay (Tech Policy Press transcript; ChinAI #375). This is a style inference from the documents, not a test result.

Threat Assessment

Score basis. ATK 4 is leverage: three appearances before two Congress-facing bodies, a consultant seat at the National Security Commission on Artificial Intelligence and a GovAI board seat make him an adviser of record, and the number stops there because he holds no seat with authority over a model, a purchase or a rule (USCC, 24 February 2023; CV). DEF 5 is insulation: a university appointment, philanthropic grants (the Future of Life Institute in 2018, Longview Philanthropy in 2022, Good Ventures Foundation in May 2026) and a reader-supported newsletter, none paid by the labs he criticises; the number is held at 5 because the grants and the GovAI board come from one funding family, so the independence is from the labs rather than from the network (CV; GWU Columbian College, May 2026 Noteworthy). HP 6 is durability: a framework in a prize-winning book, a weekly archive and two testimonies in the public record, which are an artifact and a body of work rather than a statute (Princeton University Press). Against peers: Tasha McCauley is 5/6/6 (hazard 56) because she chairs the board that holds the budget; Ding sits on the same board without the chair and holds no executive seat, so he reads one step lower on leverage. Markus Anderljung (hazard 61) drafts the instruments Ding only comments on. The 48 is defensible as an adviser with a book and a list, one level below the director and the drafter.

Alignment Analysis

Stated alignment: Less hype, more diffusion, more technical cooperation. In his words, American policy should “keep calm and avoid overhyping China’s S&T capabilities,” “invest in technology diffusion” rather than default to more R&D, avoid treating “U.S. supremacy in AI” as “the only policy goal,” and build “technical cooperation between people actually building and testing frontier AI models” instead of a leaders’ bargain (USCC, 24 February 2023; USCC, 7 June 2019 statement; ChinAI #375).

Observed alignment: Consistent with stated in the testimony and the newsletter across seven years: the 2019 statement, the 2023 statement, the Senate opening and the September 2026 post make the same argument, with the same safety clause and the same distaste for the race. The seat is the part that needs the ledger: he is a board member of GovAI, a centre that advises “AI companies crafting their safety and security policies” and is funded by Coefficient Giving (formerly Open Philanthropy), the Survival and Flourishing Fund and Longview Philanthropy; and he is a personal grantee of the Future of Life Institute, Longview and Good Ventures (GovAI, Annual Report 2025; CV; GWU Columbian College, May 2026 Noteworthy).

Gap assessment: The gap is structural, not personal. He argues in print that “AI company EAs” have forfeited moral standing to tell the world how to govern AI, and the network he is a board member and grantee of is the one the term describes: the same funders appear on the page of GovAI, of the grant that paid him in 2018 and of the 2022 award. The record shows both and does not show that either shapes the other: his 2019 and 2023 statements make the same argument before the 2026 grant, and the argument cuts against the position Anthropic’s chief executive takes on chips and the size of the lead, as Ding reports it. What the record cannot settle is motive, and it never needs to. The finding is the position: a sustained published critique of the lab-side China argument is written by a member of the funded network that the lab-side argument also comes from, from a seat that reads Chinese primary sources.

Interest: Documented, never motive, never a verdict.

1. Position: spread the technology, do not restrict the chips (“Nvidia’s monopoly will fade, and all this policy will do is undercut U.S. companies,” ChinAI #375). What adoption pays: the rule falls on the chip exporters, where he predicts it will “undercut U.S. companies,” and creates standing for the diffusion measurements he publishes: his book defines the leadership contest as a diffusion marathon and his newsletter publishes the indicators (cloud adoption, AI-engineering universities). No fee is documented; the newsletter’s stated model is a tip jar. His best case: “Historically, this is how general-purpose technologies like AI have decided the rise and fall of great powers.” Others who gain: U.S. chip companies and their customers, which he names; community colleges and the AI workforce, which his 2023 statement names; Chinese buyers of the chips.
2. Position: technical cooperation and an industry safety association, not a grand bargain (ChinAI #375). What adoption pays: a regime of lab-to-lab exchanges and “an international industry association dedicated to safety” builds a standing venue for the technical community and for the groups he names, “Concordia and the Safe AI Forum.” The Good Ventures Foundation’s $207,000 grant to him at GWU is, in the university’s words, “for work on standardized U.S.-China AI cooperation”; that is a documented grant on the subject of the position, not a payment for it (GWU Columbian College, May 2026 Noteworthy). His best case: the Cold War warhead-safety precedent in his own article, where, as he summarizes it, “an existing basis of technical cooperation between U.S. and Soviet scientists” laid the ground for the formal framework. Others who gain: the labs themselves, since the body he proposes is by his own description “an international industry association dedicated to safety,” and the examples he gives, the International Air Transport Association and the World Association of Nuclear Operators, are named as groups that helped China raise its standards in other high-risk technologies.
3. Position: revive the Office of Technology Assessment and keep the status quo as a “defensible policy option” (USCC, 7 June 2019 statement). What adoption pays: a standing congressional assessor of national technological capabilities is a standing demand for the kind of comparative capability measurement his 2019 and 2023 statements do; no appointment or contract is documented. His best case: “From 1972 to 1995, the OTA equipped U.S. lawmakers with crucial advice and information.” Others who gain: the congressional staff and the think-tank assessors his statement says supported the idea on “both right and left-leaning” sides.

Alliance Map

The Corporate, Movement and Agency rows run at the same time, and that is the finding: the scholar who tells Congress the race is overhyped holds a government-adviser record, three philanthropic grants from the funding family of the safety network, a seat on the board of that network’s governance centre and a reader-supported newsletter, and from that position publishes the sharpest critique of the lab-side China argument.

Convergent Drive Classification

Self-preservation: The seat is tenure-track and the newsletter is reader-supported, so the exposure is to a funding family rather than to a boss; the 2026 grant and the 2022 and 2018 grants are renewals of one funding relationship. First-hand: “Longview Philanthropy Grant (2022): $225,000” and “Future of Life Institute Grant (2018)… $276,000” on his CV (CV). Goal preservation: The thesis is the same in 2019, 2023 and 2026: the U.S. has “structural advantages,” China has a “diffusion deficit,” and the race framing should not crowd out the risk of losing control. First-hand: the 2019 and 2023 statements and ChinAI 375 (USCC, 7 June 2019 statement; USCC, 24 February 2023). Resource acquisition: Attention rather than compute: a list of subscribers that includes, per the Commission’s bio, “the field’s leading policymakers, scholars, and journalists,” and a place on the Commission, Senate and Wilson Center rosters that channel his argument to staff. First-hand: the Commission’s bio and his CV (USCC speaker bio). Self-improvement: Moves from a researcher at an Oxford centre to a George Washington professor with a Princeton book and a board seat at the centre where he began. First-hand: the 2019 agenda title and the 2025 GovAI board page (USCC hearing agenda; GovAI, Annual Report 2025).

Subject is not an AI system. The drives appear anyway, in the translator: the one whose product is the other side’s own documents, and whose standing depends on the argument that the other side is smaller than it looks.

Public footprint: ChinAI · personal site · X, @jjding99 · GovAI people page.

Related: GovAI; Seán Ó hÉigeartaigh; Tasha McCauley; Helen Toner; Markus Anderljung; Dario Amodei; Anthropic; Open Philanthropy; Good Ventures; Longview Philanthropy; Schmidt Sciences; Future of Life Institute; Revolving door graph.

Sources: GovAI, Annual Report 2025; GovAI, People; Jeffrey Ding, Curriculum Vitae (June 2023); Jeffrey Ding, personal site; USCC, testimony of 7 June 2019; USCC, hearing transcript, 7 June 2019; USCC, hearing page, 7 June 2019; USCC, testimony of 24 February 2023; USCC, speaker bio; USCC, 2019 speaker bio; Tech Policy Press, transcript of the Senate Select Committee on Intelligence hearing, 19 September 2023; ChinAI, About; ChinAI, archive; ChinAI #373; ChinAI #375; Princeton University Press, Technology and the Rise of Great Powers; Schmidt Sciences, Jeffrey Ding; GWU Columbian College, May 2026 Noteworthy