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Jobs & economy
What AI is doing to work: displacement studies, productivity research, labor disputes and workforce policy, updated daily.
The labor-saving paradox in transition: An empirical study on the inverted U-shaped relationship between industrial robot application and overtime work in Chinese firms
Publication date: November 2026 Source: Technological Forecasting and Social Change, Volume 232 Author(s): Man Qin, Yaoyao Zhang
AI isn’t destroying entry-level jobs. It’s changing them
Here are the ways leading companies are already responding to the AI revolution in professional services
The Main Barrier to AI Adoption in the Public Sector Is Lack of Training: How a Structured Method Accompanied Productivity Gains in Two Brazilian Government Cases
arXiv:2606.01517v3 Announce Type: replace Abstract: The adoption of generative AI in the public sector has been treated predominantly as a technological problem, with the expectation that productivity gains would follow from the availability of increasingly capable models. This paper argues, drawing on two auditable cases in the Brazilian Public Service, that the determining barrier to adoption observed in these units was not technological but training-related, and describes the four-layer struc
Towards IoT-Fog-ML integration for temperature break detection and prediction in fresh produce cold chains: a systematic review and architectural framework
IntroductionGlobally, 1.3 billion tons of food is lost or wasted each year, negatively impacting food security, the economy, and the climate. Fresh fruits and vegetables (FFVs), with their short shelf life and temperature sensitivity, are the most affected. This study systematically evaluates the integration of Machine Learning (ML), Adaptive Learning (AL), the Internet of Things (IoT), and Fog computing for temperature-break detection and prediction in FFVs supply chains. It critically evaluate
Why It Is Time for the West to Crush Putin’s War Economy
Corporations walked away from Russia in historic numbers. Governments loosened sanctions just as the pressure was working.
Verizon to Cut 500 Jobs, Sell 274 Stores
The company reports second quarter results July 24
Recursive Harness Self-Improvement
Under model--harness co-evolution, harnesses are not merely inference-time scaffolds but data-generating components whose execution traces can shape future foundation models. This motivates harness-in-the-loop learning: optimizing harnesses for both immediate agent performance and the quality of traces used for future model training. However, continually updating provider-built scaffolds is costly and labor-intensive. We therefore investigate whether optimizing user-constructed harnesses in a ta
Program to rotate cyber personnel through federal agencies saw little use
The number of people who got approval to be in the Federal Rotational Cyber Workforce program was in the single digits, GAO found. The post Program to rotate cyber personnel through federal agencies saw little use appeared first on CyberScoop .
Microsoft accused of unfair labor practices by US and Canadian video game unions
Charges filed with the NLRB accuse Xbox of bad faith bargaining.
Broad Coalition Urges NTIA to Make BEAD Network Performance Data Public
Labor and public interest groups concerned over LEO providers' ability to carry out their commitments.
Civil Rights Letter to the House Democratic AI Commission
CDT and the undersigned civil rights and civil society organizations write to you regarding the need for civil rights protections to be the foundation of any comprehensive artificial intelligence (AI) legislation. Specifically, we urge the House Democratic Commission on AI and the Innovation Economy (Commission) to support meaningful safeguards (mandatory bias testing, privacy and data […] The post Civil Rights Letter to the House Democratic AI Commission appeared first on Center for Democracy a
Skills, not wages, measure what truly matters in the workforce
Although earnings are a convenient metric to assess initial program outcomes, this new one-dimensional standard fails to measure what truly matters over the long term. We have known for years that ...
Republic of Latvia: Staff Concluding Statement of the 2026 Article IV Mission
AI creates opportunities for Latvia but limited digital skills among the workforce and low firm-level adoption limit potential productivity gains. The country has a capable digital infrastructure, but ...
Plover: Steering GUI Agents through Plan-Centric Interaction
Graphical user interface (GUI) automation remains challenging in real-world environments, where dynamic layouts, unexpected dialogs, and evolving interface states can cause autonomous agents to drift from user intent. Recent vision-based multimodal agents improve flexibility by operating directly over screenshots and natural language instructions, but planning and adaptation often remain internal, limiting users' ability to inspect, supervise, or correct system behavior. We present Plover, a pla
Satya Nadella makes the case for AI independence
Welcome to AI Decoded , Fast Company ’s weekly newsletter breaking down the most important news in the world of AI. I’m Mark Sullivan, a senior writer at Fast Company covering emerging technology, AI, and tech policy. This week, I examine Satya Nadella’s argument that enterprises need a more balanced and less dependent relationship with frontier-model providers. I also look at a new warning from economists and technology experts about AI-driven job losses, as well as the ways states are beginnin
LQCDMaster: Agentic Scientific Computing for Lattice Quantum Chromodynamics Research
Lattice quantum chromodynamics (LQCD) provides a first-principles framework for computing hadronic observables, but its practical use remains limited by the substantial expertise required to turn research motivation into reliable computing workflows. Here we present \textsc{LQCDMaster}, a tool-augmented, skill-guided and domain-specialized scientific computing agent that converts natural-language LQCD research tasks into executable PyQUDA computing workflows, including measurement scripts, job-s
How teaching AI your career could become the smartest job search strategy
Every new technology promises to save people time. Artificial intelligence is beginning to promise something more ambitious: memory.
Schneider Electric says Africa’s electricity grid is the next AI battleground
Schneider Electric, an energy management and industrial automation company, believes Africa is preparing for it with the wrong question.
(g+) IT-Jobs: Sich selbst zum Senior machen!
Aktuell stellen viele Unternehmen kaum noch Berufseinsteiger ein. Wie man sich in Zeiten von Einstellungsstopps selbst zum Senior macht. Ein Ratgebertext von Franziska Hauck ( Arbeit , Wirtschaft )
Cyber Workforce: Agencies Did Not Widely Adopt Rotational Program
What GAO Found A resilient and skilled cybersecurity workforce is essential to protecting federal information technology (IT) systems and enabling the government’s day-to-day functions. The Federal Rotational Cyber Workforce program, managed by the Office of Personnel Management (OPM), provides opportunities for members of the federal cyber workforce to gain experience in IT, cybersecurity, and other cyber-related positions. Agencies can participate in the program by either advertising a positio
Business services job opportunities on the rise
SA’s business services sector created 26 346 new jobs servicing international markets in 2025, the highest annual total since 2018.
The AI economy runs on this (incredibly vague) unit
Users are still getting used to the token.
The AI economy runs on this (incredibly vague) unit
Three-plus years into the AI boom, we’re all still figuring out what an AI token is actually worth. Welcome to the era of stochastic shopping. Tokens, at their core, are the tiny units of language that artificial intelligence systems ingest and process in order to reason, or at least mimic reasoning, and communicate with us. A token might be a punctuation mark, a word, or even part of a word. OpenAI suggests that, in English, one token is roughly equivalent to four characters, or about three-qua
The AI economy runs on this (incredibly vague) unit
Users are still getting used to the token.
The AI economy runs on this (incredibly vague) unit
Users are still getting used to the token.
The AI economy runs on this (incredibly vague) unit
Users are still getting used to the token.
The AI economy runs on this (incredibly vague) unit
Users are still getting used to the token.
LSEG addds financial data and analytics to AI workflow automation platform
LSEG today announced that it is making its trusted, licensed data and analytics available in Model ML through its Model Context Protocol (MCP) connector, enabling secure access to AI-ready financial content within financial services workflows.
Global Index on Responsible AI: 2026 Report
Grounded in human rights-based frameworks such as the UNESCO Recommendation on the Ethics of AI, the Global Index on Responsible AI (GIRAI) examines how countries translate responsible AI commitments into enforceable protections, institutional capacity, and redress mechanisms. GIRAI 2026 assesses these across five dimensions: Inclusion and Diversity, Ethics and Sustainability, Labour and Skills, Trust and Safety, and AI Use in Public Service. A global network of 135 country-level researchers col
For Apple to make its AI era succeed, it has to get back to its roots
Apple owns the smartphone. It owns the devices and the ecosystem around them. It owns the on-campus product launch. Steve Jobs built that, Tim Cook protected it, and now John Ternus has to carry it into the AI era. That’s the hard part. Especially when you consider that Apple is two years behind schedule when it comes to getting real AI into the hands of users. The recent Siri AI rollout everyone was waiting for didn’t change that. In fact, it felt to me (and many others I’ve talked to in the ex
The Past is Never Past
On June 11, 2026, the German automotive company Volkswagen was convicted in four different lawsuits by the Brazilian Labor Court for reducing people to slavery in the Brazilian Amazon. While this judgment marks the company’s second round of convictions for enslavement within the Amazonian state of Pará, it stands out as a historic first in the form of individual reparations for corporate crimes committed nearly fifty years ago. This opens the way for a new era of reckoning with several other com
Academia’s Critical Role in Developing an Economic Security Workforce
Editor’s note: This is the tenth article in an 11-part series examining how the United States should organize, lead, and integrate economic statecraft into strategy, defense practice, and the broader national security ecosystem. The special series is brought to you by the Potomac Institute for Policy Studies and War on the Rocks. Prior installments can be found at the War by Other Ledgers page.The United States is fighting a new kind of global competition — over supply chains, chips, and sanctio
Govt. clears Rs 1.9 lakh crore push for chips and mobile phones
The Union Cabinet approved manufacturing programmes worth Rs 1.9 lakh crore to boost mobile phone production, semiconductor manufacturing, chip design, domestic sourcing and electronics jobs in India. The post Govt. clears Rs 1.9 lakh crore push for chips and mobile phones appeared first on MEDIANAMA .
India Is Moving Fast to Build A.I. Data Centers. A Coastal City May Pay the Price.
With India lagging in the technology, officials are embracing giant data centers. But critics say the megaprojects will use up energy and water, without providing long-term jobs.
Equal access, unequal gains: How digital capability deficits shape the productivity effects of open government data
Publication date: September 2026 Source: Technology in Society, Volume 88 Author(s): Shuaiwen Chang, Qiongwen Cheng
SEAU 2026 : 5th International Conference on Software Engineering and Automation
5th International Conference on Software Engineering and Automation [Melbourne, Australia] [Aug 15, 2026 - Aug 16, 2026]
Analyzing Curricular Pattern Complexity Using AI to Improve On-Time Graduation Rates
arXiv:2607.13094v1 Announce Type: new Abstract: The rise of Artificial Intelligence (AI) enables automatic analysis of large amounts of data. Previously time-consuming and labor-intensive tasks can be completed much more efficiently with the use of AI. This work uses AI techniques to analyze and revise curricular patterns in an undergraduate degree for Software Engineering. Curricula often have long sequences where failure to pass a class within the sequence may jeopardize completion of the degr
Beyond AI-Generated Labels: Watermarking, Co-Creation, and Conflation of AI-Generation with Disinformation
arXiv:2607.13082v1 Announce Type: cross Abstract: Watermarking is often presented as a straightforward solution for distinguishing AI-generated from human-generated content, enabling platforms and regulators to trace synthetic content and detect AI-generated outputs at scale. This paper examines whether such mechanisms meaningfully address the epistemic and ethical challenges that arise in domains where the central concern is not the automation of content production, but the accuracy, intent, an
AI-Native Insurance for Agentic AI: Pricing, Underwriting, and End-to-End Automation
arXiv:2607.13230v1 Announce Type: cross Abstract: Agentic AI introduces new insurance challenges because autonomous AI systems can make decisions, invoke tools, modify external environments, and interact with third-party services. This paper develops an AI-native mathematical framework for underwriting, pricing, and contract design for agentic AI deployments. A deployment is represented by a risk state that captures autonomy level, operational authority, permission exposure, governance maturity,
The Efficiency Costs of Information Assurance in AI-Enabled Labor Markets: Evidence from LinkedIn's Policy Changes
arXiv:2511.01923v2 Announce Type: replace Abstract: Generative artificial intelligence (GenAI) systems rely heavily on user-generated data for training. As governments and platforms impose increasing restrictions on the use of personal data, an important question is whether limiting access to user data for AI training affects the performance of AI-enabled economic systems. We examine this question in the context of labor-market matching. Our setting exploits a unique sequence of LinkedIn policy