Open AI Policy Doc
Key points of Open AI's policy blueprint outlining how governments should prepare for AI-driven economic disruption, including proposals for a public wealth fund, taxes on automated labor, and incentives for employers to pilot 32-hour workweeks with no loss in pay.
- The 13-page document argues that superintelligence (AI systems capable of outperforming the smartest humans) is on the horizon, and recommends a new social contract to manage the transition, comparing it to the Industrial Revolution.
- OpenAI proposes a public wealth fund that would invest in long-term assets tied to the AI economy, with returns distributed directly to citizens regardless of their current financial market holdings.
- The company also recommends shifting the tax base away from labor income and payroll taxes toward corporate profits and capital gains, including new taxes specifically tied to automated labor as AI reduces traditional employment.
See the full story here: https://www.businessinsider.com/openai-superintelligence-ai-upheaval-tax-shorter-workweek-public-wealth-fund-2026-4
OpenAI’s Altman releases blueprint for taxing, regulating artificial intelligence
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OpenAI and its CEO and co-founder Sam Altman compared society’s current circumstances to the transition to the Industrial Age and the Progressive Era and New Deal that followed.
“In normal times, the case for letting markets work on their own is strong. Historically, competition, entrepreneurship, and open economic participation have lifted living standards and expanded opportunity,” the document stated, adding, “But industrial policy can play an important role when market forces alone aren’t sufficient—when new technologies create opportunities and risks that existing institutions aren’t equipped to manage.” ...
The recommendations include the creation of a public wealth fund to give every citizen a “stake in AI-driven economy growth” regardless of their current investments in financial markets. The company also called for taxes “related to automated labor,” given AI could reduce the tax base funding programs like the Supplemental Nutrition Assistance Program, Social Security and Medicaid.
Altman also suggested new ways for public input to make sure the technology isn’t just developed with the perspectives of “engineers or executives behind closed doors.” ...
The company also suggested expanded job opportunities in human-centered job sectors like child care, health care and community services where AI may help these workers but not eliminate jobs. ...
See the full story here: https://thehill.com/policy/technology/5817906-openai-ai-policy-recommendations
China to regulate use of digital humans
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The draft requires that providers of services involving digital humans, which are human-like virtual beings capable of voice chat or other forms of interaction, must continuously display a prominent label reading "digital human" alongside such content.
According to the draft, the use of individuals' sensitive personal information for generating and modeling digital human images must be subject to their informed consent.
It stipulates that no organization or individual may use digital humans with identifiable traits of specific natural persons without their consent.
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See the full story here: https://english.news.cn/20260403/ae0d10c6c7d4408e8f7c407593bbb1b2/c.html
Penalties stack up as AI spreads through the legal system
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In the meantime, AI itself has strayed into the crosshairs of the legal profession. In March, OpenAI, the maker of ChatGPT, was sued by Nippon Life Insurance Company of America in federal court in Illinois. The insurance company says it was the target of frivolous legal actions by a woman who was getting bad legal advice from ChatGPT.
Among other things, the lawsuit accuses OpenAI of practicing law without a license. In a written statement to NPR, OpenAI responded, "This complaint lacks any merit whatsoever."
See the full story here: https://www.npr.org/2026/04/03/nx-s1-5761454/penalties-stack-up-ai-spreads-through-legal-system
Manatt Launches AI Consulting and Testing Service Offering
Manatt announced the launch of its new AI Consulting and Testing (AICT) service offering, a multidisciplinary initiative that enhances Manatt’s existing legal and consulting experience with new testing capabilities to help organizations safely and responsibly build, deploy and oversee AI systems.
This new service offering includes AI testing, regulatory‑aligned governance, model validation and outcome-based testing, including bias testing, procurement support and ongoing monitoring—giving clients a defensible, end‑to‑end approach to responsible AI. ...
AICT supports clients that are developing or deploying AI tools across highly regulated and fast‑moving sectors—including health care, financial services, consumer products, entertainment and employer AI use cases—offering services across four pillars of responsible AI: Strategy & Governance; Testing & Evaluation; Procurement & Vendor Oversight; and Ongoing Monitoring & Compliance. ...
see the full story here: https://www.manatt.com/insights/news/2026/manatt-launches-ai-consulting-and-testing-service-offering
AI benchmarks are broken. Here’s what we need instead.
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It soon became clear that the benchmark tests on which medical AI models are assessed do not capture how medical decisions are actually made. Hospitals rely on multidisciplinary teams—radiologists, oncologists, physicists, nurses—who jointly review patients. Treatment planning rarely hinges on a static decision; it evolves as new information emerges over days or weeks. Decisions often arise through constructive debate and trade-offs between professional standards, patient preferences, and the shared goal of long-term patient well-being. No wonder even highly scored AI models struggle to deliver the promised performance once they encounter the complex, collaborative processes of real clinical care. ...
When high benchmark scores fail to translate into real-world performance, even the most highly scored AI is soon abandoned to what I call the “AI graveyard.” ...
HAIC benchmarks reframe current benchmarking in four ways:
1. From individual and single-task performance to team and workflow performance (shifting the unit of analysis)
2. From one-off testing with right/wrong answers to long-term impacts (expanding the time horizon)
3. From correctness and speed to organizational outcomes, coordination quality, and error detectability (expanding outcome measures)
4. From isolated outputs to upstream and downstream consequences (system effects)
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See the full story here: https://www.technologyreview.com/2026/03/31/1134833/ai-benchmarks-are-broken-heres-what-we-need-instead/
Nvidia CEO Jensen Huang’s advice to workers scared of AI: You’re just confusing your job with the tools you use to do it
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However, Huang’s not convinced that AGI will cause a jobs reckoning, just like previous tech transformations weren’t able to snatch his job.
“I’m the longest-running tech CEO in the world: 34 years,” he continued. “The tools that I’ve used to do my job have changed continuously in the last 34 years, and sometimes quite dramatically.”
Huang explained his reasoning through a job paradox he’s witnessed in the era of AI: the fate of radiologists.
The Nvidia leader said that computer scientists predicted that the first job to be automated by AI would be radiology, since computer vision was going to reach “superhuman levels” thanks to the advanced tech. Around 2020 the tools became that powerful, Huang pointed out, and “every radiology platform and package today is driven by AI”—yet the number of radiologists has grown. ...
See the full story here: https://fortune.com/2026/04/01/nvidia-ceo-jensen-huang-advice-workers-scared-ai-confusing-job-with-tools-to-do-it/
What to Know About California’s Executive Order on A.I.
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California has been a leader in tech lawmaking, and was the first state to pass a law mandating safety and transparency from the biggest A.I. companies. Mr. Newsom, a Democrat, signed the order partly as a message to President Trump, who has been trying to bat down state attempts to regulate A.I. ...
If the federal government designates a company a supply chain risk, which the Pentagon has recently done with the A.I. start-up Anthropic, California will conduct its own assessment. If the company isn’t determined to be a risk, the state may allow it to remain a contractor. ...
See the full story here: https://www.nytimes.com/2026/03/30/technology/california-ai-executive-order.html
AI Is Rewriting the Old Rules of Google Search and SEO
Winning the search war now depends less on keywords and more on what strangers are saying about you on Reddit...
See the full story here: https://www.wsj.com/tech/ai/google-search-seo-ai-tactics-5efb9f99
Pentagon to adopt Palantir AI as core US military system, memo says
- Letter emphasizes Palantir's AI as cornerstone of Pentagon strategy
- Palantir's Maven uses AI to help identify targets for strikes
- Making Maven program of record would secure long-term funding for Palantir
See the full story here: https://www.reuters.com/technology/pentagon-adopt-palantir-ai-as-core-us-military-system-memo-says-2026-03-20
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