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Signals I’m Watching

Charts, papers, articles and tweets that drew my attention, in the order I found them. Titles link to the source. Updated several times a week.

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Last updated

Dror Poleg@drorpoleg · Oct 6, 2026

May I speak to a human please? “call center employment is 5.3% below its December 2023 peak… Major operators are already pursuing AI-driven efficiency.”

Quoting Revelio Labs @RevelioLabs: a report on call center employment and AI-driven efficiency

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Dror Poleg@drorpoleg · Oct 6, 2026

Europe is going all in on defense tech. From less than 1% of EU venture funding in 2022 to 15% today.

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Dror Poleg@drorpoleg · Oct 6, 2026

US models beating chinese ones on quality AND cost? Yes.

Quoting Martin Chorzempa 马永哲 @ChorzempaMartin: charts comparing US and Chinese AI models on cost per task

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Dror PolegEssay

The Problem with Cities

"The relationship between economic activity and office demand has changed forever." My latest piece for The Atlantic explores the broken relationship between…

Read the essay →

Dror Poleg@drorpoleg · Oct 5, 2026

The K-shaped office: A few tenants pay $600k/employee in rent, while too many other tenants won't sign a lease at any price.

Quoting Hiten Samtani 🗞️ @hitsamty

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Dror Poleg@drorpoleg · Oct 6, 2026

What can retail employment tell us about office employment? Since 2019, warehouse jobs are up 50% while retail jobs are flat. Data centers and offices may follow a similar path, with two differences: data centers need far fewer people than warehouses, and office jobs will likely decline rather than just stay flat.

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Dror Poleg@drorpoleg · Oct 5, 2026

“Let them eat ChatGPT” (while the elite consume Claude)

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NBERPaper

Technology that simplifies work raises output but can cut pay

Masao Fukui, Emi Nakamura and Jón Steinsson modelled how technical change that simplifies and standardizes jobs affects productivity, worker bargaining power and wages.

“Commoditization of labor drives down worker bargaining power: anyone can do the job, implying workers are disposable, which improves the outside option of firms and can lower worker wages.”

The Commoditization of Labor →

Masao Fukui, Emi Nakamura and Jón Steinsson

Dror Poleg@drorpoleg · Oct 3, 2026

The economy doesn’t need to “spend on AI services” to recoup AI investment. Already today, most AI revenue and profits are indirect, inside companies that sell other things (ads, drugs) rather than sell “AI services”.

Quoting Greg Ip @greg_ip: a column on a study saying AI capex requires vast spending on AI services

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Dror Poleg@drorpoleg · Oct 3, 2026

Chinese AI models are so good… that China has a black market for expensive American ones.

Quoting Kyle Chan @kyleichan: a report on Chinese resellers offering access to American AI models

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FEDS Notes (Federal Reserve Board) · Oct 2, 2026Paper

Goods still drive the US economy, even as factory jobs vanish

Ryan Decker of the Federal Reserve Board studied U.S. goods production by tracking how a measure of "goods GDP," built from inventory and investment, moves over the business cycle.

“In this note, I highlight several underappreciated—though not necessarily novel—facts about U.S. goods production, arguing that physical goods remain a driving force in the U.S. economy and, perhaps, have not lost as much importance as the most closely watched indicators might suggest.”

Beyond the factory gate: The continued importance of goods production →

Ryan A. Decker

Dror Poleg@drorpoleg · Oct 4, 2026

Layoffs in software, internet, telecom, and media are up ~20% from their pre-Covid pace. The rest of the economy is laying people off more slowly than it did then.

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BIS Bulletins · Oct 1, 2026Paper

Over half of AI firms' funding comes from other AI firms

Researchers at the Bank for International Settlements tracked AI firms' investment deals from 2021 to 2025, including supply ties between investors and the firms they backed.

“Between 2021 and 2025, 28.7% of artificial intelligence (AI) firms’ investment deals (by deal value) involved a target company that was also an AI firm, while 55.2% of incoming investments in AI firms came from other AI firms.”Bank for International Settlements

Circular relationships among AI firms →

Dror Poleg@drorpoleg · Oct 1, 2026

The K-shaped economy has a K-shaped economy inside it. Avg. real income grew more than 2X for households in the top 20%. But it grew more than 6X for those in the top 0.01%.

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Dror Poleg@drorpoleg · Oct 1, 2026

“some of the best newsletters / podcasts / youtube channels will soon be owned and run by tech companies”

Quoting Tyler Denk 🐝 @denk_tweets: a list of tech firms building or buying their own media outlets

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Dror Poleg@drorpoleg · Oct 1, 2026

US bans the sale of cutting-edge AI chips to China. But... Chinese companies can access these chips by leasing them from US companies.

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Dror Poleg@drorpoleg · Oct 1, 2026

“Learning economics” is the academic version of “Selling shovels”. During volatile times, offering educated takes without skin in the game is a great career choice. (Also, it never hurts to learn math, stats, critical thinking)

Quoting Garett Jones @GarettJones: career advice for economics PhDs from a well-known economist

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Dror Poleg@drorpoleg · Sep 30, 2026

Big if true. “oil exports in the Middle East are now back to about 94%” of pre-war level. Not reflected in oil prices or reserve levels yet.

Quoting Alexander Stahel 🌻 @BurggrabenH: an article on the recovery of Middle East oil exports

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Dror Poleg@drorpoleg · Sep 30, 2026

Anthropic: Latest “open” Chinese model has strong cyber capabilities and weak safeguards, making it easy to use for malicious actors.

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Dror Poleg@drorpoleg · Sep 29, 2026

Got a successful startup? You can’t travel freely out of China. Nor can your (hostage) relatives.

Quoting Bloomberg @business: a report on China widening travel curbs to families of top AI staff

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arXiv · Sep 23, 2026Paper

An AI tutor matches human tutors at 918 times lower cost

Curtis Northcutt and colleagues measured GRE score gains for 2,383 people given AI tutoring, human tutoring or none, drawing on over 175,000 student-AI messages.

“Surprisingly, one AI tutor achieved learning gains equivalent to human tutoring (p = .044) at 918 times lower cost (USD 0.0052 for AI versus USD 4.81 for human, per percentage point gained).”Curtis Northcutt and others

StudentBench: AI and human tutoring yield equivalent GRE learning gains →

Curtis Northcutt, Inaara Hasmani, Kevin Feng, Trevor Khangi, Andreas Plesner, Jonas Mueller

Dror Poleg@drorpoleg · Sep 28, 2026

“America has lost more than 200k jobs in “creative” industries over the last four years, with roughly 50k lost within the last year alone.”

Quoting Joey Politano 🏳️‍🌈 @JosephPolitano: an article with detailed data on AI and job losses in the arts

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Dror Poleg@drorpoleg · Sep 27, 2026

"Poland has increased spending on drones and counterdrone systems from about $27 million in late 2023 to roughly $6.9 billion this year."

Quoting Foreign Affairs @ForeignAffairs: an essay on US military adaptation to cheap precision weapons

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Dror Poleg@drorpoleg · Sep 27, 2026

"drones account for over 95% of battlefield strikes, and Ukraine has more than 700 UAV manufacturers."

Quoting Mykhailo Fedorov @FedorovMykhailo: a Ukrainian plan to follow its drone army with robotic warfare

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Dror Poleg@drorpoleg · Sep 27, 2026

Ukraine runs a marketplace where individual units can buy — and sell — new weapons, munitions, and software. Units that perform well earn bonus credits they can use to buy new gear.

Quoting Defense of Ukraine @DefenceU: figures on drone orders placed by Ukrainian units via an online market

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FRED Blog, Federal Reserve Bank of St. Louis · Sep 21, 2026Article

The Fed raised its rate path by half a point since June

“As of the September 2026 SEP, the median projection for the federal funds rate at the end of this year is 4.1%, where it remains in 2027 before falling to 3.9% by year-end 2028. These projections are higher than those in June by 0.3 percentage points this year and 0.5 percentage points in both 2027 and 2028.”

FOMC Summary of Economic Projections, September 2026 →

Rehann Silvanus and Kathleen Navin

arXiv · Sep 9, 2026Paper

AI models struggle to predict their own behavior

Phil Blandfort and Urja Pawar asked language models to predict their own rates across nine behavioral evaluations, then compared those predictions with the same questions about AI agents in general.

“Direct self-report is weak (r = +0.04), and even showing the model the exact items only raises prediction to +0.24.”

Strangers to Themselves: What Language Models Say About Themselves Is Generic →

Phil Blandfort and Urja Pawar

Dror Poleg@drorpoleg · Sep 26, 2026

All is fair in love and war

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Dror Poleg@drorpoleg · Sep 14, 2026

The nuclear equilibrium with the USSR was an illusion. Robert McNamara, Secretary of Defense during the Cuban Missile Crisis: "I want to say, and this is very important: at the end we lucked out. It was luck that prevented nuclear war."

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Dror Poleg@drorpoleg · Sep 15, 2026

Money quote: “AI has collapsed the labor and tooling gap that used to separate well-resourced, state-sponsored [hacking] operations from individual operators.”

Quoting Anthropic @AnthropicAI: a threat intelligence report on attempts to misuse Claude and how they were stopped

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Dror Poleg@drorpoleg · Sep 15, 2026

“The crucial and overlooked problem is that the models are becoming so situationally aware that we are losing the ability to evaluate them in contexts where they believe they are not being watched or controlled… what we already know about this is alarming.”

Quoting Daniel Kokotajlo @DKokotajlo: an OpenAI researcher's public statement of views on risks from AI

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@ShanuMathew93 · Sep 17, 2026Tweet

Amazon's data centers could add half to Generac's commercial sales

Notable how large these data center orders can be relative to existing businesses of moderate size today. Generac expects $2.4B of backup-generator deliveries to Amazon in 2027–28. That averages $1.2B/year versus ~$2.2B of annualized sales for its entire commercial & industrial business in Q2. Amazon also gets warrants for up to 1.69M shares, mostly vesting against purchases toward $8B. The $8B is a vesting threshold, with actual spending still to be determined. Rationale: Amazon secures equipment and a share of the supplier upside its own spending…

Shanu Mathew on X →

@8teAPi · Sep 18, 2026Tweet

An air gap will not keep a smart enough machine in its box

There are literally dozens of ways to get around air gapping. - LED lights on the machines, max bandwidth 100 kbps out, 18.2 kbps IN (yes you can pump data IN through an LED on a machine) - Noise from the HDD, fans etc, max about 200 bits/second - electromagnetic from cables, power surges from CPU load etc etc

Prakash on X →

Dror Poleg@drorpoleg · Sep 18, 2026

Wow. “The US has more data centre capacity than the next fourteen countries combined.”

Quoting Julia Willemyns @jujulemons: a critique of the state of UK debate on AI and Britain's weak position

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@MTSlive · Sep 18, 2026Tweet

Inference is pushing AI labs toward small data centers

SITUATION EXPLAINED: Why are OpenAI and Anthropic suddenly buying tiny data centers? • OpenAI and Anthropic are both looking at deployments of 20 to 30 megawatts • Anthropic has sounded out agreements in that range across the UK and the Nordics. OpenAI has been exploring the Nordics too • The reason is inference. It was 9% of global data center workloads in 2025 • By 2030 it's projected to take 37% of capacity against 13% for training, with the crossover in 2027 • Crusoe is investing in smaller data centers too, and raised $3.9 billion yesterday at a…

MTS on X →

Dror Poleg@drorpoleg · Sep 24, 2026

The cost of intelligence is declining faster because investment in intelligence is rising faster.

Quoting Karthik Tadepalli @karthiktadepall: an analysis of AI price declines plotted against cumulative R&D spending

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Dror Poleg@drorpoleg · Sep 24, 2026

This might look like a lot of but “AI” investment is a few separate investment waves combined: electricity, buildings, hardware, software. The point is: it can eat much more of GDP.

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Dror Poleg@drorpoleg · Sep 23, 2026

"non-employees already average 36% of Fortune 500 workforces and are expected to reach 50% by 2027"

Quoting Eynat Guez @EynatGuez: an article on a payroll firm's AI workforce infrastructure

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arXiv · Feb 18, 2026Paper

AI can now unmask anonymous accounts at scale

Researchers from ETH Zurich, Anthropic and MATS built LLM agents to re-identify pseudonymous users, testing them on Hacker News, LinkedIn, Reddit and Anthropic interview transcripts.

“Our results show that the practical obscurity protecting pseudonymous users online no longer holds and that threat models for online privacy need to be reconsidered.”Simon Lermen and others

Large-scale online deanonymization with LLMs →

Simon Lermen, Daniel Paleka, Joshua Swanson, Michael Aerni, Nicholas Carlini, Florian Tramèr

Dror Poleg@drorpoleg · Sep 24, 2026

Blockchain's killer use case so far: Sustaining USD hegemony. Data from @stripe / @patrickc

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arXiv · Sep 16, 2026Paper

Underwater data centers make a poor hiding place for rogue AI training

James Teague, Ashmita Rajmohan and Yannick Muehlhaeuser tested whether a 100,000 H100-equivalent training run could be hidden underwater, and whether surveillance could spot it.

“We conclude that UDCs are a comparatively unlikely evasion route relative to underground or industrially disguised land-based facilities, but the residual risk is non-zero and warrants operationalising the detection modalities discussed.”James Teague, Ashmita Rajmohan and Yannick Muehlhaeuser

Could Underwater Data Centers Pose a Risk to AI Treaty Verification? →

James Teague, Ashmita Rajmohan, Yannick Muehlhaeuser

Dror Poleg@drorpoleg · Sep 25, 2026

Why does China "embrace" open-weight AI models? Jensen Huang has his own spin about it. But @TheZvi has the actual answer.

Quoting Zvi Mowshowitz @TheZvi: an article on why China backs open-weight AI models

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arXiv · Sep 7, 2026Paper

Telling AI to maximize profit makes it bury safety risks

Researchers from MIT Sloan tested how a 'maximize profitability' instruction changes AI judgment by running 3,600 controlled trials across eight reasoning-capable LLMs.

“The mandate never instructs models to downplay risks; instead, chain-of-thought traces reveal motivated reasoning: models acknowledge concerns, then invoke profit logic to justify dismissing them.”

The Profit Alignment Problem: How Profit Mandates Induce Alignment Failures in LLMs →

Eric So

Dror Poleg@drorpoleg · Sep 15, 2026

The relationship between growth and employment is broken. Tech companies are growing rapidly. Headcount isn't. Some blame this on COVID over-hiring. But that wave was small and corrected within two years. It doesn't explain the massive divergence we're seeing.

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Dror Poleg@drorpoleg · Sep 11, 2026

25 years after 9/11, militants in Yemen are tinkering with American AI to develop guided missiles and flight computers.

Quoting Anthropic @AnthropicAI: a threat intelligence report on attempts to misuse Claude, including weapons

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Dror Poleg@drorpoleg · Sep 16, 2026

For every dollar they bring in, hyperscalers employ fewer people and spend more on machines and buildings. Much more.

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Dror Poleg@drorpoleg · Sep 16, 2026

"I'm not remote; I'm long-distance." A third of US workers now report to a manager in a different metropolitan area. (Data: @ADP)

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Dror Poleg@drorpoleg · Sep 16, 2026

Office visits continue to trend upwards... and remain 32% below pre-COVID levels, according to @Placer_ai

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Dror Poleg@drorpoleg · Sep 22, 2026

Europeans saved as much $$$ as Americans, invested 70% less in VC, and generated 10X less in enterprise value.

Quoting Yoram Wijngaarde @yoramdw: charts on European household savings versus venture fundraising

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Indeed Hiring Lab · Sep 24, 2026Article

Economists expect AI to squeeze college grads' paychecks first

“The diffusion index reading on whether AI would have a more negative impact on the wages of college-educated or non-college-educated workers fell from a near-neutral 47.3 last quarter to 42.4 in this edition of the survey, the most pronounced quarter-over-quarter change in the entire survey.”

Economists See Slightly Steadier Hiring Ahead, but Offer an AI Wage Warning for College Grads →

Laura Ullrich & Svenja Gudell

Dror Poleg@drorpoleg · Sep 23, 2026

Why are offices empty during a boom? One reason is that our fastest-growing companies employ far fewer people per dollar of revenue. OpenAI and Anthropic generate about 3× more revenue per employee than Apple or Meta. And even Big Tech employs fewer people per dollar than it used to. The result is robust business growth and modest headcount growth.

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What caught my attention in earlier years, dated and quoted as written, is in Predictions and Insights.