Jasmine Sun: Silicon Valley's Permanent Underclass Fear

Key takeaways

1. Date. April 30, 2026, NYT Opinion. Author: Jasmine Sun (Substack, AI and SF culture). Audio format: 28 min 34 s. URL: https://www.nytimes.com/2026/04/30/opinion/ai-labor-work-force-silicon-valley.html
2. Thesis. "the production of a social underclass is a policy choice. Instead of waiting for impact, we need to think seriously — now — about how we plan to support workers through A.I. disruption."
3. Opening line (aphorism). "Most people I know in the A.I. industry think the median person is screwed, and they have no idea what to do about it."
4. San Francisco consensus. "Whether you talk with engineers, venture capitalists, founders or managers, or with doomers, accelerationists, lefties or libertarians... the so-called San Francisco consensus on the impact of A.I. for workers is bleak."
5. Permanent underclass — definition. term repopularized on social media to describe the theory that "people have a limited window of time to build wealth before A.I. and robotics are advanced enough to fully replace human labor. At that point, we will get frozen in our current class positions." Origin: 1960s, for workers left behind by postwar automation.
6. Yash Kadadi (23, Stanford dropout). "There's only a matter of time before GPT-7 comes out and eats all software and you can no longer build a software company. Or the best version of Tesla Optimus comes out... this year is a human's last chance to be a part of the innovation."
7. Dario Amodei.
8. "White-collar blood bath" public statement.
9. 50% of junior white-collar jobs could disappear by 2030. .
10. ~20,000-word blog essay, January 2026: warns A.I. may create "an unemployed or very-low-wage 'underclass' for people with 'lower intellectual ability'".
11. Axios: "The balance of power of democracy is premised on the average person having leverage through creating economic value. If that's not present, I think things become kind of scary."
12. On Anthropic employees: "It may be feasible to pay human employees even long after they are no longer providing economic value in the traditional sense. Anthropic is currently considering a range of possible pathways for our own employees."
13. Sam Altman.
14. 2021 blog post: "unstoppable" A.I. systems will do almost any job a human could → power shifts from labor to capital. "If public policy doesn't adapt accordingly, most people will end up worse off than they are today."
15. Proposed solution: aggressively tax assets (land + A.I. equity).
16. Chris Lehane. (veteran lobbyist, at OpenAI since April 2024): "deprioritized" research projects with unflattering findings (environmental impacts, gender gap, ChatGPT urban-rural divide, ChatGPT and career decisions, long-term economic forecasts). Anonymous OpenAI employee quote: "Whenever someone wrote a paper which talked about some negative aspect of A.I., he would say, 'We're not going to release something about a problem until we have a solution for it.'" Lehane himself: "We want to do applied physics, not theoretical physics."
17. OpenAI white paper, April 2026 — "Industrial Policy for the Intelligence Age":.
18. Lehane's justification: industrialization "really threw off that relationship between capital and labor" and facilitated "the rise of fascism and communism."
19. Proposed radical-progressive policies.
20. 32-hour workweek.
21. Higher corporate + capital gains taxes
22. "Public wealth fund". citizen equity stake in A.I. companies
23. Accelerated energy grid expansion
24. National "right to A.I.": foundation models for schools and libraries
25. Limitation: vague on implementation, no concrete commitment. Spokesperson declines to cite specific legislation.
26. OpenAI 2025. removal of the profit cap that limited investor/employee returns to 100x their initial investment.
27. Leading the Future PAC. (pro-AI, partly funded by Greg Brockman, OpenAI president): spent over $2M on ads against Alex Bores, an NY congressional candidate who introduced a safety-regulation bill for large AI developers plus a plan for direct payments to Americans funded by an AI tax.
28. Steven Adler. (former OpenAI safety team): "I hope OpenAI is willing to fight for these prosocial ideas with policymakers. The A.I. industry is engaged in cutthroat competition over truly world-changing technology. Unless we change their incentives, we shouldn't be surprised when companies cut corners, even if they've said the right things."
29. Anthropic.
30. Anthropic Institute launched March 2026. , led by Jack Clark (co-founder, former journalist turned AI billionaire). Brings together the economics, societal impact, and frontier safety teams.
31. Anthropic ARR. $30B annualized (April 2026) vs $9B end of 2025. Massive growth in enterprise agents.
32. Political contribution. $20M to a group supporting Alex Bores (counterbalancing Leading the Future).
33. No economic white paper or specific legislative endorsement (yet). Clark on lobbying: "the end of a very, very long chain of work."
34. Anthropic publication, January 2026: "a small but increasing fraction of Claude users are delegating their most personal and consequential decisions to A.I. — a choice they often later regret. 'You made me do stupid things,' one such user told Claude."
35. Junior engineers study. "junior engineers who relied on A.I. coding agents not only didn't complete tasks much faster; they also understood their work less when quizzed about it afterward." Implication: early-career deskilling.
36. Internal framing: the "light and shade" of AI.
37. Employees have pre-committed several billion dollars in individual donations to nonprofits (including catastrophic-AI-outcome prevention).
38. Clark's vision for the future: "expand the share of human labor" in relational roles (teaching, nursing) — "What A.I. should allow us to do is pay these jobs way more and massively multiply the number of them."
39. Tejal Patwardhan. (lead, frontier evaluations, OpenAI) — on GDPVal:
40. Benchmark covering 44 occupations (real estate broker → news analyst).
41. "When we originally released GDPVal, which was just a few months ago, none of the models were yet on par with human experts. Months later, we have over an 80 percent win rate compared to human professionals."
42. Anecdote: a research colleague, a former banker, "keeps being shocked by how much of her old work the models can do."
43. A.I. Productivity Index. 4 jobs benchmarked — investment banking associate, management consultant, Big Law associate, primary care physician.
44. Block / Jack Dorsey.
45. March 2026: laid off nearly half of company employees.
46. Wired: coding agents "such as Anthropic's Opus 4.6 and OpenAI's Codex 5.3" "presented an option to dramatically change how any company is structured, and certainly ours."
47. Market: +25% stock price surge in after-hours trading.
48. Mechanize. "once buzzy" startup with a mission "to enable the full automation of the economy." Founders' blog post: "the only real choice is whether to hasten this technological revolution ourselves, or to wait for others to initiate it in our absence."
49. Zoë Hitzig. (economist, former OpenAI): mimicry effect. "When chief executives are 'saying they're cutting jobs because of A.I., other people feel like they have to too. That dynamic could make the changes happen sooner than efficiency would dictate."
50. St. Louis Fed. AI investment (software + data centers) = 39% of U.S. growth over Q1-Q3 2025. The federal government therefore has a vital interest in sustaining the AI boom. Amodei: "the reluctance of tech companies to criticize the U.S. government, and the government's support for extreme anti-regulatory policies on A.I."
51. David Shor's political strategy. (event on February 25, 2026, Dogpatch SF, under a disco ball with La Croix cans in hand):
52. Slide: 79% of voters worry "government not having a plan to protect workers."
53. 72%. concerned A.I. "drives down wages for people like you."
54. "Right now, the argument is, 'You're all about to lose your jobs, and the choice is either you get nothing and starve, or we do something fair.' People don't want to be members of the permanent underclass."
55. UBI is unpopular. , but the federal jobs guarantee has legs.
56. Voters don't care about beating China, but are excited by AI curing diseases.
57. Top-testing ad: "We make the corporations and billionaires who profit from A.I. pay their fair share. They work for the bots. We work for you."
58. Pitch: "$700 billion a year is being spent" on A.I. transformation. For less than what the industry spends in one hour, donors can arm Democrats with messaging.
59. On "crying wolf": "People's bar is way too high on this. The reality is, if one concentrated industry with 1,000 people loses their jobs, it's going to be the biggest story of the century."
60. Labor market data.
61. Rising unemployment for young workers in highly A.I.-exposed occupations: software engineering, customer service.
62. Slow hiring expected: accounting, marketing, design, administrative work.
63. Jobs with human comparative advantage: entrepreneurship, care work, skilled trades, entertainment (sports, performing arts).
64. Economists cited.
65. Anton Korinek. (UVA + Anthropic Institute): "no human job is invulnerable in the long run, once A.I. can outperform humans at everything."
66. David Autor. (MIT): new industries will emerge — "just as our ancestors could not have fathomed the modern roles of flight attendants and software salespeople."
67. Carl Benedikt Frey. (Oxford): "Most economists will acknowledge that technological progress can cause some adjustment problems in the short run. What is rarely noted is that the short run can be a lifetime."
68. Bharat Ramamurti. (former deputy director, Biden NEC): "The China shock unfolded over several years, whereas this could happen over two years. These companies have spent so much money developing models that there's going to be immense pressure on them to generate revenue through quick adoption."
69. Molly Kinder. (Brookings senior fellow): "I've interviewed so many college students who are super fearful about what the future means, and their narrative is exactly the same as those blue-collar guys in the heartland." On AI narratives: "Our economy grew extraordinarily and prices went down, but there were clear losers."
70. Blue/white-collar class solidarity. "For once, a rarefied class of employees — those used to being the automaters, not the automated — is reckoning with their potential obsolescence."
71. 2028 politics.
72. AI has risen faster than any other issue among voters over the past year (Shor data).
73. Senator Mark Kelly. + Rep. Ro Khanna have announced sweeping AI agendas.
74. Democrats exposed (younger + college-educated voters more exposed to AI than Republicans).
75. Sun: "The technology is an opportunity for gutsy politicians — especially populist candidates vying in a crowded 2028 presidential primary — to push ideas that are usually too radical for moderate voters to swallow."
76. Emerging populist violence.
77. April 2026. an attempted firebombing of Sam Altman's home.
78. Another attacker accused of targeting an Indianapolis councilman who had approved a local data center project.
79. Proposed bans: data center construction, self-driving cars, chatbot use for therapy/legal advice.
80. Alex Karp (Palantir CEO). , at a March 2026 panel with Sean O'Brien (Teamsters): "The biggest challenge to A.I. in this country is political unrest. If I were sitting here in private with my peers, I'd be telling them the country could blow up politically and none of us are going to make any money when the country blows up."
81. Tech-watch dossier connections.
82. A framing political-economic article that complements and nationalizes the brain fry note (Bedard/BCG/HBR 2026-03-05), Silicon Valley Petri dish of agents note (Dèbes/Les Echos 2026-04-22), and Sierra AI-native interview note (Taylor 2026-04-20).
83. Corroborates Mollick's Organizational theory for agentic AI (2026-02), MIT NANDA's 95% AI Pilots Fail (2025-08-23), and the MIT Iceberg Index (2025-11-26).
84. Cross-referencing the figures.
85. Anthropic ARR $30B (Sun) ↔ Stripe Minions 1,300+ PRs/week (2026-02-19) — confirms the enterprise boom.
86. 50% of junior white-collar jobs gone by 2030 (Amodei via Sun) ↔ Andreessen (2026-02), Karpathy (2026-04-29), and Rohit (2026-04-29) theses on the prompt engineer → systems architect transition.
87. Politically codifies. what the technical notes describe at the workflow level (Karpathy "never felt more behind," Block -50% Dorsey, GDPVal 80% win rate).
88. Lays out the narrative sequence: labs acknowledge the risk (Amodei) → corporations accelerate layoffs (Block) → metrics steer it (GDPVal) → embryonic political response (OpenAI white paper, Anthropic Institute) → but countervailing lobbying (Leading the Future PAC) → populist response (Shor strategy, 2028 candidates, emerging violence).
89. Useful for. presentations framing the societal-policy context of agentic engineering; reputational risk of AI deployments in France/Europe; defensive hiring strategy (Sierra-style overhaul) against early-career obsolescence.