Discourse monitor
How the monitored publications were assessed
Discourse valence across every scored item: what the sampled sources published and how independent models read it. It is not a measure of public opinion, not a measure of the state of the world, and article volume is not agreement.
Mean discourse valence per day · employment · last 90 days
Discourse valence, window mean
-31
Adverse
62 items · range -84 to +50
-100
-50
0
+50
+100
-31
Adverse readingFavourable reading
62 items scored in this window
- Microsoft exec called AI scraping the “largest theft of labor in human history”
- Gavin Newsom signs laws to protect California workers from AI threat
- Is your boss watching you? The rise of AI surveillance at work - video
- Teachers at Euan Blair firm report ‘horrendous stress’ after AI used to rate their work
- Labor unions must unite against AI datacenters | Tyler Turner
- ‘Someone else will do it for less’: Refugees in Kenya are powering tech for dwindling pay
- White Men Without Degrees Receive the Lowest Ratings from Large Language Models
- Inside Microsoft and OpenAI, Worry About Damaging the Publishing Industry
- Mirror publisher to cut 220 editorial jobs as readers turn to AI summaries
- Students fear AI is about to kill their future
- Rightwing ‘great replacement’ fears mask tech's real great replacement | Jason Stanley
- The Capability Transfer: Cohort Reversal, Codified Expertise, and the Adaptability Tax of AI Transformation
- Digital Labor Platforms as Infrastructure of Extractivism
- When AI Enters the Workplace, Who Faces Greater Risks? A Gendered Analysis
- Tesla workers balk at training Optimus humanoid robots as replacements
- Navigating the Changing Landscape of Online Knowledge Consumption and Production in the Age of Generative AI: Evidence from Stack Overflow
- Australians are yet to see the benefits of AI and datacentres – and US midterms show they could be political kryptonite
- AI evaluators favor job applications written by certain AI models, independent of candidate quality
- Big AI is trying to own the pathway to work. Universities shouldn’t play along | Ella Hafermalz
- I watched a humanoid robot clean my apartment. It felt like a taste of the future.
- The hidden cost of flexible work in academia: women do more parenting
- Trump declares robot imports a national security threat
- What is it like to work when your co-workers are AI agents?
- China’s villages pay the price for Beijing’s AI ambitions
- Tell us: have you been monitored or assessed by AI at work?
- Student Use of LLMs and the Limits of AI-Generated Question Difficulty in Data Science Courses
- AI is generating a new wave of US populism. It could be a tipping point | Robert Reich
- BurnRiSc: Toward Non-Invasive Burnout Screening in Open Source from Public Repository Signals
- Prepared Or Unprepared? Evaluating Healthcare Workforce Readiness for Clinical Adoption of Artificial Intelligence in Nigeria
- AI-Driven Feedback Systems, Digital Labour, and Silent Quitting: Transforming African Workplaces
- Self-driving cars should be taxed to offset job losses, thinktank urges
- The AI industry is booming. Women are getting left behind
- Welfare-Opaque Income: Taxation under AI-Agent Delegation
- It’s time to block reckless AI IPOs and tax billionaires | Naomi Klein and Ilana Glazer
- China’s block on SoftBank deal fires the starting gun on the robot wars
- The future of the firm
- AI boom obscuring global trade disruptions, warns WTO chief
- Is a job guarantee the solution to mass AI unemployment?
- Is Universal Basic Income the Answer to A.I.-Fueled Job Losses?
- Detecting Deceptive Recruitment: A Signal-theoretic Machine Learning Framework for Early Identification of Labour Exploitation
- California’s new laws target workers’ biggest fear of AI taking their jobs
- When Does AI Augment Work? A Workflow-Level Framework for Human-Agent Collaboration
- StoreBench: A Live-Commerce Environment for Evaluating and Training Autonomous Operator Agents
- Can our children still prosper in the age of AI?
- An AI Factory for Technology Education: An Agentic Pipeline with Closed Loop Audience Feedback
- Should promotion depend on how workers use AI?
- Work, Wellbeing, and Choice: Empirical Lessons for AI Futures
- AI agents need middle managers too
- ChatGPT’s expanding world of work
- Silicon Valley expects AI will kill jobs but economists are not convinced
- A Reusable Semantic Web Framework for Evidence-Grounded Fundamental Rights Impact Assessments under the EU AI Act
- AI Can Do Your Homework. Now What? Report from an Online Workshop on Computing Assessment in the Age of Generative AI
- Joseph Stiglitz on how to build a better AI economy
- Do job seekers value procedure in AI hiring only for error correction? Evidence from a conjoint experiment
- Didactic knowledge or Clinical Cases? How Data Types Shape Medical Large Language Models
- Understanding Game Coaching on Gig Platforms
- Artificial Intelligence and Job Design: A Dynamic Framework
- Workplace Ambiguity and Technology Support for Autistic and IDD Workers
- ‘Population collapse’ makes AI productivity gains vital, says top Meta executive
- PolicyMediator: Multi-Regional Policy Learning through Mediation Agents with Evolving Skills in OPC Ecosystems
- Artificial Intelligence in Mechanical Engineering: Foundations, Opportunities, Challenges, and Responsibilities
- The Customer Is the Builder: How AI Coding Agents Are Rewriting the Economics of Software
3560
discovered, all time
984
passed triage
2574
rejected at triage
3464
model assessments
710
multi-model panels
1780
distinct claims tracked
Across the whole window
The two tables below describe every item in the last 90 days under employment. They are deliberately not narrowed by the reading filter, because a mean taken only over items already selected for their score would just restate the filter.
By topic
| Topic | Branch | Items | Mean | Position |
|---|---|---|---|---|
| Existential and catastrophic risk | risk | 568 | -42 | |
| Governance and regulation | structural | 459 | -31 | |
| Concentration of power | risk | 451 | -36 | |
| Loss of control and alignment | risk | 337 | -49 | |
| Human agency and epistemics | risk | 166 | -26 | |
| Cyber capability | risk | 165 | -44 | |
| Evaluation and measurement | structural | 159 | -19 | |
| Scaling and architecture | structural | 137 | -16 | |
| AGI and timelines | structural | 132 | -29 | |
| Synthetic media and manipulation | risk | 104 | -44 | |
| Employment and displacement | risk | 62 | -31 | |
| Medicine and health | benefit | 43 | -14 | |
| Scientific acceleration | benefit | 42 | -4 | |
| Education and access to expertise | benefit | 29 | -17 | |
| Biological and chemical uplift | risk | 26 | -25 | |
| Climate and energy | structural | 20 | -33 | |
| Compute and infrastructure | structural | 18 | -8 | |
| Productivity and growth | benefit | 6 | -3 | |
| Abundance and material wellbeing | benefit | 5 | -1 | |
| Hype and disillusionment | structural | 5 | -45 |
By source
A source's mean says how the items it published were read. It is not a rating of the source.
| Source | Kind | Tier | Items | Mean |
|---|---|---|---|---|
| The Guardian: Artificial Intelligence | news | 1 | 241 | -52 |
| arXiv cs.CY (Computers and Society) | academic | 1 | 217 | -24 |
| Financial Times: Artificial Intelligence | news | 1 | 112 | -40 |
| arXiv cs.AI | academic | 1 | 99 | -15 |
| The New York Times: Technology | news | 1 | 60 | -36 |
| Ars Technica: AI | news | 1 | 59 | -51 |
| MIT Technology Review: AI | news | 1 | 34 | -42 |
| Nature | academic | 1 | 31 | -25 |
| BBC News: Technology | news | 1 | 29 | -35 |
| OpenAI | lab | 1 | 24 | -8 |
| arXiv cs.LG (Machine Learning) | academic | 1 | 24 | -16 |
| IEEE Spectrum: AI | news | 1 | 19 | -19 |
| The Economist: Science and Technology | news | 1 | 10 | -37 |
| CSET, Georgetown | government | 1 | 9 | -37 |
| Microsoft Research | lab | 1 | 8 | 0 |
| Google DeepMind | lab | 1 | 6 | -4 |
| Google AI Blog | lab | 1 | 2 | -9 |