> daily_signal(2026_05_25)

The Pope published the Catholic Church's first moral doctrine on AI today. He chose the 135th anniversary of the encyclical that gave workers the right to organize. Anthropic's co-founder was on stage.

PickBits Daily Signal · Sunday, May 25, 2026

By Mark Pickering · 7 min read · May 25, 2026

// tl;dr

This week traced who gets to write the rules for AI and who pays when those rules are missing. Today the Catholic Church answered the moral question with a formal document, choosing the exact anniversary of the encyclical that spent 135 years shaping labor law around the world. On the same morning: the White House quietly disclosed $9B in surveillance AI for spy agencies, New York's top fiscal officer put a 110,000-job number on what the city has not prepared for, Ohio taxpayers found out their governor killed a legislative fix to a $1.6B data-center tax giveaway, Meta launched an AI-powered Reddit competitor without a press release, and a Chinese lab permanently locked in the cheapest AI inference prices in the world.

Today the Vatican published the first Catholic moral framework for AI on the anniversary of the encyclical that built modern labor law, the White House quietly cleared $9B for surveillance AI, and the week's remaining news confirmed that the cost of this transition is landing on workers, taxpayers, and communities that nobody asked.

1. The Catholic Church published its first moral doctrine on AI today. The Pope chose the exact anniversary of the encyclical that built the modern labor rights movement.

Pope Leo XIV signed Magnifica Humanitas on May 15 and published it today at the Vatican's Synod Hall in Rome. The document, whose title means "magnificent humanity" in Latin, is the Catholic Church's first papal encyclical dedicated to artificial intelligence. It addresses what the Church calls "the protection of the human person in the age of artificial intelligence": worker rights, the ethics of military AI, and digital surveillance tools the document says strip workers of dignity. Presenting the encyclical alongside Leo XIV were Cardinal Victor Manuel Fernandez, prefect of the Dicastery for the Doctrine of the Faith, Cardinal Michael Czerny, theologian Anna Rowlands of Durham University, and Chris Olah, a co-founder of the AI research company Anthropic.

The signing date of May 15 is not coincidental. Pope Leo XIII signed Rerum Novarum on May 15, 1891, exactly 135 years before this document. Rerum Novarum established Catholic social teaching on the rights of workers, just wages, and human dignity in the industrial era. It became the moral foundation for labor law across much of the 20th century, including in countries with no Catholic majority. Magnifica Humanitas makes the same framing explicit: AI is to the 21st century what industrial capitalism was to the 19th, and the Church is publishing its moral framework at the beginning of the transformation. The encyclical calls for "shared standards of social justice" in AI development, frames AI design choices (not just AI use) as moral acts, warns against autonomous military AI that removes humans from lethal decisions, and addresses employer use of AI to surveil and score workers.

Vatican News coverage of Pope Leo XIV publishing Magnifica Humanitas encyclical on AI
vaticannews.va · May 25, 2026
Why this matters: If you follow a Catholic moral framework, work in a Catholic institution, or live in a community where Catholic social teaching shapes local politics, a papal encyclical is binding moral doctrine, not an opinion piece. The 1.4 billion Catholics worldwide now have a formal Church position that says AI worker displacement and surveillance are justice issues, not just policy questions. Even outside Catholic communities, Rerum Novarum shaped labor law in countries that were not Catholic majorities; Magnifica Humanitas is attempting the same move: to set a moral baseline that reaches legislators, labor negotiators, and procurement offices. Action this week: Read the document's English text at Vatican News. If you work in AI development, find the passage on design choices as moral acts and the military AI section; those go further than any previous tech ethics framework on both topics. If you are a labor attorney or HR professional at a company that uses AI to score employees or automate workforce decisions, read the surveillance section carefully; it will appear in the next round of collective bargaining proposals.

vaticannews.va: Pope Leo XIV's first encyclical Magnifica humanitas to be published May 25

2. The White House secretly approved $9B for US spy agencies to buy NVIDIA Grace Blackwell chips for classified AI. Congress still has to vote to fund it.

The White House signed off on a $9 billion secret funding request on May 22, approving a plan to buy NVIDIA Grace Blackwell superchips for the CIA, NSA, and other US intelligence agencies. The funding covers classified data centers capable of running Grace Blackwell hardware, which requires high-density electrical power and liquid cooling that most existing intelligence facility buildings cannot support. The AI systems built on this infrastructure are designed to process intelligence intercepts, signals data, and other classified inputs at scales that current agency capacity cannot handle. The White House did not announce the approval publicly; it was first reported by The Philadelphia Inquirer on May 23.

The $9 billion still requires a congressional appropriations vote. While waiting for that, the administration separately reprogrammed $800 million in existing funds for faster acquisition of computing capacity. Internal intelligence community warnings since early 2026 described a chip shortage causing US spy agencies to fall behind adversaries in testing and deploying AI tools for espionage work. Amazon Web Services is separately expanding its government cloud to IC-eligible zones with a $50 billion infrastructure upgrade. The Grace Blackwell chip is the same silicon NVIDIA sells to commercial cloud providers; this classified procurement competes directly with commercial orders for the same supply.

Philadelphia Inquirer coverage of White House approving $9B for intelligence agency AI chips
inquirer.com · May 23, 2026
Why this matters: This is $9 billion of federal tax revenue going to build AI infrastructure specifically designed to surveil at scale, process communications intercepts, and automate intelligence collection inside classified systems with no public transparency. It is not a Pentagon weapons program with a hearing attached; it is a reprogrammed intelligence budget item that moved without a press conference. The Grace Blackwell chips this procurement is buying compete directly with commercial orders, which affects availability timelines for non-government buyers. Action this week: The $9B still needs a congressional appropriations vote. If your representative sits on the House or Senate intelligence or appropriations committees, ask whether a public markup or hearing is scheduled. The EFF and ACLU both track IC AI procurement through their surveillance newsletters; those are the subscriptions to add if you want to follow this one as it moves through Congress.

inquirer.com: White House approves $9B for spy agencies to catch up on AI

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3. NYC's top fiscal officer put a number on AI's impact on 110,000 New York City jobs. He called the city "sleepwalking into the age of AI."

NYC Comptroller Mark Levine published a fiscal analysis on May 21 projecting AI's impact on the New York City economy. The report models five scenarios. In the worst-case, AI eliminates roughly 110,000 private-sector jobs by 2027. In the pessimistic "AI Falls Flat" scenario, the city loses 52,500 jobs as early as this year. Levine's framing was direct: "Despite the impossibly high stakes for us as we stare down the radical transformation ahead, New York City is doing almost nothing to prepare. It is sleepwalking into the age of AI."

The report's concern is both labor and fiscal. NYC's municipal budget depends heavily on income and business tax receipts from finance, professional services, and tech: three of the sectors most exposed to AI displacement. Levine called for expanding the city's rainy-day fund to 16 percent of annual tax revenue and hardening city infrastructure against AI-powered cyberattacks on water and transit systems. New York City is home to one in eight American jobs across supply chains. The comptroller's argument is that the city's fiscal solvency is directly tied to whether workers keep their jobs, and AI is now a material fiscal risk the city has no plan to address.

NYC Comptroller Mark Levine report on AI and New York City's fiscal future
comptroller.nyc.gov · May 21, 2026
Why this matters: If you live or work in New York City, your city income tax, public services, and pension fund are all tied to the same fiscal base the comptroller is warning about. This is not a think-tank projection. The person who signs the city's checks and audits its solvency is the one filing the warning. Outside NYC, this is the template every major-city fiscal officer will file within the next 12 months. Action this week: The full report is at comptroller.nyc.gov. If you work in finance, legal, accounting, or IT services in NYC, find the professional services displacement table. If you have a city pension, read the section on pension fund exposure to AI market volatility. If you are outside NYC, check whether your city's comptroller or CFO has published a comparable analysis yet; if not, it is coming.

comptroller.nyc.gov: AI and New York City's Fiscal Future

4. Ohio's data-center tax break cost taxpayers $1.6B in 2025, eleven times the original estimate. The governor vetoed the fix that would have paid for income-tax cuts.

Ohio exempts data center developers from the state's 5.75 percent sales tax on equipment, for facilities costing $100 million or more to build, for up to 15 years. When the exemption was created, the Ohio Department of Taxation estimated the annual cost at $136 million. In 2025, data center operators claimed $1.6 billion in tax benefits under the exemption: eleven times the original estimate. In 2024, the cost was already $555 million, four times the forecast. The AI-driven surge in Ohio data center construction turned a modest economic development incentive into the state's single largest tax expenditure.

Ohio's Republican-controlled legislature voted to repeal the exemption and redirect the revenue to a new round of income-tax cuts. Governor Mike DeWine vetoed the repeal, arguing that ending the exemption would push data center developers to other states. House Speaker Matt Huffman has said he wants to muster the three-fifths supermajority needed to override the veto but says he lacks the votes. The Ohio House has formed a special legislative committee on data centers that will take testimony from the Department of Taxation on how a $136 million estimate became $1.6 billion in two years. The total $1.6B cost represents roughly $136 in lost state revenue for every Ohio household.

Signal Ohio reporting on Ohio data center tax break costing $1.4 billion more than expected
signalohio.org · May 21, 2026
Why this matters: If you live in Ohio, $1.6 billion of state sales-tax revenue that could have funded income-tax cuts, schools, or roads was instead forgiven for data center developers, and your governor blocked the legislature's attempt to fix it. Outside Ohio, this is what happens when a state creates an open-ended data center tax exemption during an AI infrastructure buildout: the costs scale with capital investment and the original estimates become fiction in two years. Action this week: The Ohio House website lists members of the special data-center committee; Ohio constituents can find the hearing schedule and submit public comment there. If you work in state tax policy in a state with a data center exemption, run the math: take your state's 2025 capital investment numbers, apply your exemption rate, and compare to the original forecast. If you see a factor-of-ten gap forming, you are about to have this same fight.

signalohio.org: Ohio data center tax break cost $1.4 billion more than expected in 2025

5. Meta quietly launched a Reddit-rival app called Forum with a built-in AI assistant. Reddit stock fell more than 5% on launch day.

Meta released Forum in the US App Store on May 22 with no press release and no launch event. Forum is a standalone iOS application built on Facebook Groups, presenting group content in a thread-style feed separate from the main Facebook interface. It includes two AI features: Ask, a chatbot that synthesizes answers from across a user's Facebook Groups, and an AI moderation assistant for group administrators. It also allows users to post under nicknames rather than their full Facebook identity: a deliberate design choice to replicate one of Reddit's structural advantages, pseudonymous community participation.

Social media analyst Matt Navarra identified and reported the launch. Financial analysts at Truist flagged Forum as a direct competitive threat and cited gradual erosion risk among casual Reddit users with lower platform loyalty. Reddit stock closed down more than 5% on May 22. Reddit had reported $625 million in advertising revenue in Q1 2026, up 74% year over year. Meta's strategic logic rests on the AI Ask feature: if a user can ask a question and receive a synthesized answer from thousands of group posts instead of scrolling threads, the effort gap between Reddit and a Meta alternative narrows in a way that a simple feed redesign never did.

TechCrunch coverage of Meta quietly launching Forum Reddit-like app
techcrunch.com · May 22, 2026
Why this matters: If you use Reddit for product reviews, home improvement advice, medical questions, local news, or community discussions, Forum is targeting exactly those use cases. The AI Ask feature is the differentiator: it surfaces synthesized answers from thousands of group posts rather than making you scroll. Meta has attempted a Reddit competitor before without success, but an AI assistant that can answer questions from group conversations changes the dynamic in a way that a feed redesign alone did not. Action this week: Download Forum from the US App Store and ask it the same question you would normally take to Reddit. The quality of the AI-synthesized answer compared to a Reddit search is the variable that determines whether this competes or fades. If you moderate a Reddit community, watch the Forum admin AI assistant closely; Meta will market it directly to moderators, and moderator migration is how a community loses its foundation.

techcrunch.com: Meta quietly launches a new Reddit-like app called Forum

6. DeepSeek made its 75% V4-Pro price cut permanent. Output tokens are now 34.5 times cheaper than GPT-5.5. The AI price war just locked in a new floor. [Returning]

DeepSeek V4 was last covered April 27 when a temporary 75% promotional discount launched. New development: the discount is now permanent.

DeepSeek announced on May 23 that the 75 percent discount on V4-Pro API pricing, which had been scheduled to expire May 31, is now permanent. V4-Pro output tokens are priced at $0.87 per million, down from $3.48. Input tokens are $0.003625 per million, down from $0.0145. GPT-5.5 output tokens are priced at roughly $30 per million at standard pricing. DeepSeek V4-Pro output is now 34.5 times cheaper than GPT-5.5 with a one-million-token context window. The V4 series is optimized for Huawei Ascend 950 chips rather than NVIDIA processors, meaning DeepSeek's production capacity scales independently of US export control restrictions on NVIDIA hardware.

The lock-in establishes a new permanent floor for the global AI inference market. The 75% discount was widely read as a promotional window that would revert to standard pricing on June 1; making it permanent signals that DeepSeek is prioritizing market share over per-unit margin. Any AI product or application built on API calls from a frontier model now has a comparison price against which every other vendor's pricing is measured. The enterprises and developers that cannot use DeepSeek for security or procurement reasons are paying a 10x to 34x premium for that constraint, and that premium is now a permanent line item rather than a temporary price gap.

The Decoder coverage of DeepSeek making 75% V4-Pro price cut permanent at 34x cheaper than GPT-5.5
the-decoder.com · May 23, 2026
Why this matters: If you use any AI product built on API calls from a major lab (most AI writing tools, customer service bots, coding assistants, and enterprise productivity apps qualify), the price your provider pays for inference is now permanently being measured against a floor 34 times lower than GPT-5.5. If they are not on DeepSeek, they are running a more expensive model and absorbing a margin gap that will eventually show up in your pricing, feature cuts, or their acquisition. Action this week: If you are an engineer or product manager evaluating AI infrastructure, run V4-Pro on your actual use case and measure output quality against your current model. The question is whether the output quality closes enough of the gap to justify the security and procurement trade-off. If you handle vendor management at a mid-market company, the permanent price lock-in is the data point to bring to your next AI vendor renewal conversation.

the-decoder.com: Deepseek makes its 75 percent discount permanent, pricing output tokens at least 34x below GPT-5.5

» What to watch this week

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