Jobs & economy

Social Media + Society, Volume 12, Issue 3, July-September 2026. This study examines how conspiracy communities on Reddit perceive and critique algorithms, emphasizing the need to integrate individual and socially centered approaches to understand algorithm-driven social automation more broadly. As algorithms ...

I just launched my third course, Whimsical Animations, and so far, it’s on track to sell roughly ⅓ as many copies as a typical course launch. It’s a similar story with my two existing courses. Sales are down significantly from last year. There are likely a lot of reasons for this, but I think the biggest is AI. There’s sort of a double whammy with AI: Many people are wondering whether developer jobs will even exist in a few months, so they’re reluctant to spend time/money learning new dev skills

Recent tools such as OpenClaw have extended the capabilities of LLM-based agents from simple dialog-based systems to fully autonomous agents. These systems allow personalization of the agent through modifiable internal files and the installation of skills. While this enables deployment in a wide range of settings and the automation of diverse tasks, greater capability and autonomy increases the risk of malicious actions being executed unintentionally. In this work, we explore the interplay betwe

Successful diffusion of AI in the workforce hinges on the economic value that AI brings to human endeavors. Bringing AI into the workforce is more than deploying a powerful new technology -- it is launching a new form of collaboration. Each human worker is now endowed with a team of AI agents; work can be delegated to these agents, and the role of the human shifts towards managing and monitoring. How can we maximize the economic value from collaboration with AI in the workforce? How can we make

Today's links CARDiac, syntax coloring, view source and vibe code: With great abstraction comes great power comes great responsibility comes great loss of fidelity. Hey look at this: Delights to delectate. Object permanence: Real elections v reality TV; Copyright troll loses license; Who gets fed housing subsidies? Trump x forced labor. Upcoming appearances: London, Edinburgh, Sydney, Melbourne, Brighton, London, South Bend. Recent appearances: Where I've been. Latest books: You keep readin' em,

Mental health disorders affect nearly one billion people globally, yet 75% of individuals in low- and middle-income countries receive no treatment due to workforce shortages, cost barriers, and stigma. Current AI-powered wellness solutions predominantly rely on single-mode conversational interfaces that suffer high abandonment rates and fail to provide measurable, immediate relief calibrated to users' dynamic emotional states. This paper presents Copewell, a novel multi-agent swarm system design

The complexity of waste disposal regulations across European countries poses significant challenges for the residents and hinders the transition to a Circular Economy. In Germany, the proper sorting and disposal of household waste remains challenging across municipalities. Consequently, substantially reducing incorrectly disposed waste is vital for improving waste management and advancing the Circular Economy. AI-based waste sorting solutions can support residents through user-friendly tools, su

Data science aims to derive actionable insights from heterogeneous raw data, unlocking the value of the massive amounts of data generated in modern society. Automating this process is essential to reducing labor-intensive efforts for data scientists and enabling scalable data-driven applications. Recently, large language model (LLM)-based data agents have emerged as a promising solution to automate data science workflows. However, the field lacks comprehensive benchmarks to rigorously evaluate t

The Country Partnership Framework (CPF) for Benin FY27–36 outlines the World Bank Group’s strategy to support economic transformation, resilience, and large-scale job creation aligned with Benin’s ...

Developing high-performance kernels for Neural Processing Units (NPUs) is a critical industry bottleneck, requiring developers to manually navigate implicit hardware constraints and strict memory hierarchies. While large language models offer immense automation potential, they fail catastrophically on NPUs due to a fundamental lack of hardware-specific priors. Naively transplanting code snippets from similar NPU kernels may pass the compiler, but it consistently triggers runtime crashes and perf

Abolishing pandemics/ Getting out of the way of AI automation/ Learning from Honk Kong MTR's business model

Google, the New York Jobs CEO Council and Urban Assembly hosted an AI summit for 150 education and industry leaders.

NVIDIA and its partners are investing in American manufacturing, supply chains, energy grids and skilled workforces so the U.S. can produce the infrastructure needed for better healthcare, breakthrough scientific discovery, stronger industrial productivity and global technology leadership.

The Political Economy of Energy Poverty

Multiple current Rockstar employees and union members based in the UK claim the Grand Theft Auto maker is failing its workforce.

Understanding case law evolution contributes to the comprehension of legal principles, the identification of trends in judicial reasoning, and testing consistency between judgments. Automation of the analysis has the potential to make it easier to keep up with relevant case law. While legal network analysis typically focuses on identifying precedents, it has largely overlooked tracking historical developments in judicial reasoning. This study applies Main Path Analysis (MPA) to legal citation ne

Effective writing feedback is among the strongest drivers of student learning, yet producing it at scale is labor-intensive. LLMs offer a natural path to scaling writing support, but two gaps stand in the way: few public corpora capture how instructors actually deliver feedback in real classrooms, and no reliable method measures whether generated feedback aligns with what an instructor would write. We address both. SEFORA is a public corpus pairing instructor inline feedback with assignment prom

In this "Heard it From a CISO" video, Silverfort CISO John Paul Cunningham explains that AI in cybersecurity workflows is creating opportunities rather than eliminating jobs — and there are more ways than ever to break into this essential field.

Autonomous wet-lab experimentation requires more than plausible protocol text: biological intent, quantitative procedures, device constraints and experimental feedback must remain aligned from protocol and SOP design to code and physical execution. We developed ProtoPilot, a self-evolving multi-agent system, together with an expert-grounded benchmark and evaluation framework for testing this conversion as an experimental automation problem. The framework spans 294 synthetic-biology and molecular

Teams are dealing with a truly dangerous problem — automation that works, but that no one understands.

Call for Tenders: European Data Market Study 2027–2028 dumimar Tue, 06/30/2026 - 14:43   Opening: 29 June 2026   Closing: 12 August 2026 This call for tenders will fund the European Data Market Study 2027–2028, which will provide quantitative evidence on the EU data market and data economy at large. AdobeStock © Miha Creative The study will build on data collected since 2014 and support evidence-based policymaking by monitoring key trends, measuring progress towards EU digital policy o

Staff absenteeism imposes substantial operational costs in high-demand work environments such as healthcare, emergency services, meat processing, construction, and courier and delivery services, where proactive workforce planning depends on reliable individual-level absence prediction. Existing regression and classification approaches share a structural limitation; they map features observed at time t to labels at the same time t, reproducing already-realised outcomes rather than predicting futu

Google UK shares its latest Economic Impact Report and how to enable more people to unlock the benefits of AI-powered technologies.

The first, and the prerequisite for the others, strengthens the institutional foundation through enacting the Construction Industry Development Bill (CIDB) (formally called Uganda Construction ...

Germany has most jobs at risk while Luxembourg has largest share in occupations that may actually grow with AI, firm says in new report.

A new OpenAI report maps how AI could reshape jobs across the EU, highlighting which occupations may face automation, growth, or workflow changes.

Artificial intelligence (AI) is influencing creative work, negotiating not only how artists create but also how they understand their own identity as creators. This study examines how art high school students navigate AI’s role in their creative processes, using identity formation theory as a framework. While existing research primarily focuses on AI’s technical benefits, such as efficiency and productivity, there has been little exploration of how AI alters young creators’ self-concept and auto

Plus: The frontier is already agentic; unlocking innovation; new drugs, food apps without food & Chinese AI job market++

Large Language Models (LLMs) are rapidly being adopted in low-code and no-code automation platforms, where non-expert users design workflows that combine natural language understanding with external services and APIs. LLM agents are LLM systems that use LLMs as a core "brain" to reason, plan, and autonomously execute complex, multi-step tasks. In this paper, we present the first large-scale empirical study of LLM agentic workflows in low-code automation platforms. We analyze more than 6,000 publ

Smart medication systems increasingly automate medication recognition, reminders, and logging. However, automation in home medication routines should be carefully bounded, as users may have different capabilities, privacy expectations, and needs for control over decisions. We present a mixed-methods study of a Smart Medication Support system comparing three automation conditions: confirmation required, automatic logging with undo, and fully automatic support. Across 53 participants and interview

Labs are throwing away the most valuable data.

Every society depends on violence workers, but what makes young men take a job that risks their lives and harms others? - by Raúl Zepeda Gil Read on Aeon

Should you base the whole economy on companies that hemorrhage money?

Beijing Mercedes-Benz Sales & Service Co. plans to reduce its workforce from about 900 to under 600 through two rounds of adjustments, with roughly 10% of the process already completed, according to sources. The move is not an isolated case. Since 2025, Mercedes-Benz’s operations in China have carried out personnel optimization across multiple business units, […]

Large language models (LLMs) are increasingly used to screen and rank job applicants, creating incentives for candidates to strategically manipulate algorithmic hiring systems. We study prompt injection in automated résumé screening, defined as subtle self-promotional text that introduces no new qualifications but is designed to influence LLM evaluations. Using controlled experiments, we show that prompt injection reliably improves applicant rankings when résumé quality is homogeneous and few ca

We've reconstructed the AI economy from the bottom up

A new bipartisan group will work with corporate donors like Anthropic, OpenAI, Amazon, Microsoft and Bank of America to retrain workers displaced by the AI boom.

Motion forecasting is essential for autonomous driving systems to enable safe decision-making and planning in complex driving scenarios. While existing predictors excel at minimizing standard displacement errors, they often overlook the adherence to lane topology of multimodal predictions, particularly for lower-probability modes. Consequently, predicted trajectories may violate physical and logical constraints, making the prediction set unreliable for safety-critical planning. In this paper, we

A new OpenAI research paper shows how AI agents are transforming work, enabling longer, more complex tasks and expanding productivity across roles.