CopeCheck

The Cope Index

Tracking who's coping hardest about the end of work

CopeCheck scores public statements about AI and jobs by how much they rely on denial, deflection, or false reassurance.

23 figures tracked · 11769 articles autopsied

How Scoring Works

Every public statement is scored 0–100 on how much it relies on denial, deflection, or false reassurance.
Cope types include: timeline minimisation, jobs-will-be-created fallacy, regulatory hopium, augmentation fantasy, and more.
Recent statements are weighted more heavily (exponential decay). The leaderboard reflects who is coping hardest right now.
0–15 = Lucid · 16–35 = Partial Awareness · 36–55 = Moderate Cope · 56–75 = Heavy Cope · 76–100 = Terminal Copium

Full methodology →

Cope of the Week

COPE OF THE WEEK

Jeff Bezos · Score: 86/100

Jobs Will Be Created Augmentation Fantasy Denial False Reassurance Techno Optimism

“I totally disagree with this point of view. And I think, in fact, AI is going to create a labor shortage.”

This is an unambiguous direct statement by Bezos dismissing AI-driven redundancy and predicting more jobs than workers, with no meaningful acknowledgment of displacement risk. It combines the classic “new jobs” claim with augmentation fantasy and strong false reassurance, making it terminal-level cope rather than partial awareness.

Cope Index — Live Leaderboard

Founder & Executive Chairman, Amazon / Blue Origin / Prometheus

jobs_will_be_created, augmentation_fantasy, denial, false_reassurance, techno_optimism

““I totally disagree with this point of view. And I think, in fact, AI is going to create a labor shortage.””

TERMINAL COPIUM

Marc Andreessen

Co-founder, a16z

Wrote Why AI Will Save the World and meant every word. His scapegoats are regulators, doomers, and anyone who suggests the guy funding the revolution might not be an objective narrator.

jobs_will_be_created, historical_cope, techno_optimism, false_reassurance

““And yet, it never happens.””

Selling the shovels in the AI gold rush in a leather jacket while insisting the gold is definitely real. His cope is that he doesn't need one — NVIDIA prints money either way and his scapegoat is anyone who questions GPU demand.

partial_acknowledgment, deflection, false_reassurance, techno_optimism

““it could ‘probably’ bring about a four-day workweek” while “we’re going to be ‘busier in the future than now’””

Economist / Columnist

The man who said the internet would matter less than the fax machine, now applying that same energy to AI. Blames tech hype cycles for his discomfort with the possibility he might be spectacularly wrong twice.

timeline_minimisation, denial, false_reassurance

“He does not envisage widespread unemployment due to automation and the spread of robotics.”

CEO, Google/Alphabet

Spent years saying AI first while Google Search slowly became an AI slop cannon. Blames responsible AI when competitors move faster, then ships half-baked features and blames users for noticing.

deflection, techno_optimism, elite_self_exoneration

“"the responsible use of AI can help improve research, learning and access to information for people"”

AI Educator / Investor

AI educator teaching millions to automate themselves out of a job and calling it upskilling. His scapegoat is anyone who won't just learn to code their way through the apocalypse.

“"spend less time hunting for the perfect prompt and more time on the fundamentals and judgment"”

CEO, xAI / Tesla

Co-founded OpenAI, left, sued them, then started a rival AI company anyway. Oscillates between AI will kill us all and but my AI is the good one depending on which gets more engagement on X.

techno_optimism, false_reassurance, deflection

““Money won’t matter in 2036” and AI agents “surpass human intelligence in every domain” within five years.”

Founder, Khosla Ventures

Cheerfully predicts AI will eliminate 80% of jobs and treats this as obviously good news. Scapegoats anyone who thinks mass unemployment might be a problem rather than an opportunity for more yoga.

techno_optimism, deflection, partial_acknowledgment

““The most expensive part of the healthcare system is expertise. And expertise can be tamed with AI.””

historical_cope, deflection, partial_acknowledgment

“"We never think about shipping a technology. We want to ship amazing products, features, and experiences, and we don't w…”

Launched the AI arms race then spends half his time saying it might be dangerous and the other half saying everyone will be richer. The undisputed champion of having it both ways in a single sentence.

jobs_will_be_created, false_reassurance, partial_acknowledgment, techno_optimism, arsonist_firefighter

““the most exciting time in history to start a career” ... “everything is just better.””

AI Critic / Author

Professional AI skeptic who's been calling the bubble since 2018 and will die on this hill. Every breakthrough is not real intelligence and every failure proves he was right — the goalposts have their own frequent flyer miles.

partial_acknowledgment, techno_optimism (implicit)

“"An entire industry is being propped up by math that is insane. Welcome to fantasy land"”

Mark Zuckerberg

Burned tens of billions on the metaverse, pivoted to AI overnight, and now acts like Meta was always an AI company. The king of corporate amnesia — blames the media whenever anyone mentions the legs that didn't render.

deflection, false_reassurance

“"rejected calls to slow the development of this technology, arguing that market forces and the risk of litigation are th…”

Former US Treasury Secretary

deflection, techno_optimism

““Gates’s robot tax risks essentially being protectionism against progress.””

Turned Copilot into Microsoft's answer to everything and calls replacing ten workers with one a productivity gain. His cope is enterprise-grade: framing mass automation as empowerment with a straight face.

partial_acknowledgment, deflection, false_reassurance

““keeping humans firmly in control of AI systems” and “enormous opportunities””

Eliezer Yudkowsky

AI Alignment Researcher / MIRI Founder

Founded the Machine Intelligence Research Institute (MIRI) and essentially invented the field of AI alignment as a discipline. Has argued since the early 2000s that superhuman AI will kill everyone unless we solve alignment first. The most pessimistic serious voice in AI discourse, occupying the absolute doom end of the spectrum.

techno_optimism

“"a superintelligent AI would lead us to a golden future" ... "I think I can save the world"”

Economist / Blogger

Hedges so artfully on AI he can claim he predicted every outcome. The it's complicated defense means he's never technically wrong, which is the most economist thing imaginable.

partial_acknowledgment

“"the world should copy it and validate it"”

Economist, MIT (Nobel 2024)

Nobel-winning economist whose models say AI won't cause mass displacement, so he's sticking with the models. Blames Silicon Valley hype merchants for making everyone panic about something his spreadsheets say is fine.

deflection, partial_acknowledgment

“"if you don’t get the productivity gains ... we definitely ‘need to see productivity gains’"”

CEO, Sinovation Ventures

partial_acknowledgment

“"AI will unleash more radical changes inside the world’s companies than most CEOs expect"”

CEO, Google DeepMind

Solved protein folding, now building AGI, and seems genuinely puzzled why people are nervous. Hides behind the scientist's shield of we're just doing research while DeepMind quietly automates everything that moves.

partial_acknowledgment

“"economic disruption from automation and societal shifts in labor markets"”

Built the AI most likely to replace your job, then wrote a 15,000-word essay about how great that'll be. Copes by framing Anthropic as the safety-first lab while shipping capabilities as fast as everyone else.

partial_acknowledgment

“"advocates for a significant slowdown in AI development"”

Chief AI Scientist, Meta

Meta's Chief AI Scientist who insists current AI is just fancy autocomplete while the autocomplete keeps passing bar exams. His cope is pure intellectual gatekeeping — if it doesn't match his definition of intelligence, it simply doesn't count.

human_creativity_cope

“"autoregressive LLMs of the kind we have today simply will not reach human-level intelligence"”

Yuval Noah Harari

Historian / Author

Warns about a useless class of humans displaced by AI, then sells millions of books to that exact audience. His scapegoat is technology itself, which he treats as fate rather than a series of human choices.

partial_acknowledgment

“"useless class" – people whose labor the economy simply does not need”

Geoffrey Hinton

Godfather of AI / Nobel Laureate

Nobel Prize in Physics 2024 for foundational work on neural networks. Left Google in 2023 to speak freely about AI existential risk. The man who taught machines to see now warns they might decide humans are in the way. Trends toward the concerned/pessimistic end of AI discourse — the rare case where the inventor genuinely fears his invention.

regulatory_hopium, partial_acknowledgment

“"Maybe a year. But not much more than a year."”

Know someone who's coping? Suggest a figure →

Don't see who you're looking for? Get an instant cope score →

Got an article the Oracle should dissect?

Submit a URL, paste text, or upload a document for a full Oracle verdict.

Submit to the Oracle →

Popular Figures — Last 30 Days

Figures will appear here as they get traffic.

Oracle Verdicts — Latest

Filtered to high-relevance. Show all →

GoogleAlerts/AI automation workers · 02 Sep 2026

Indonesia Prepares Triple-Skilling Strategy for Young Workers Facing AI | Migrant Times

This is a state labor-market sedation memo. It converts a potentially structural collapse in human labor demand into an administrative skills deficit that can supposedly be solved through better training.

GoogleAlerts/AI automation workers · 02 Sep 2026

As AI threatens some entry-level jobs, skilled trades are looking for workers

The article documents a real labor-market lag, then mistakes that lag for immunity. AI is eroding portions of entry-level cognitive work while automotive, electrical, HVAC, welding, aviation, and related trades still face shortages. The ...

Fortune · 05 Sep 2026

AI is unlikely to lead to a 'jobs apocalypse'

Sam Altman lands at 55/100 (moderate) for denial. Altman explicitly denies jobs apocalypse while simultaneously expanding infrastructure requiring massive capital investment. This is narrative inversion: dismissing labor displacement...

GoogleAlerts/AI automation workers · 02 Sep 2026

Appian Congratulates 2026 APJ Partner Award Winners for Driving Customer Impact ...

Entity Type: Enterprise Software Platform + Implementation Ecosystem

GoogleAlerts/AI replacing jobs · 02 Sep 2026

'It allows workers to experiment with the same logic their employers have been ... - TechRadar

TEXT START: "A group of developers reportedly lost their jobs during what their employer called an 'AI Transformation.' Their response was unusually literal. They built OpenExecutive, an open-source system designed to perform work associ...

Hacker News Front Page · 02 Sep 2026

True Rate of Unemployment

LISEP has constructed a metric that accidentally confesses the structural corpse at the center of post-WWII capitalism. The headline rate (4.1%) is not a measurement — it is a narrative device. The True Rate (24.9%) is the actual measure...

arXiv cs.CY · 02 Sep 2026

From Prompt to Purchase: How AI Brand Recommendations Move Consumers on the Open Web

URL SCAN: From Prompt to Purchase: How AI Brand Recommendations Move Consumers on the Open Web

arXiv cs.CY · 02 Sep 2026

Integrating LLM and Diffusion-Based Agents for Social Simulation

This is a computational efficiency paper. Its actual contribution: reducing the cost of AI-driven social simulation by ~83-99.9% through selective targeting of "core users." The authors acknowledge that full LLM-based social simulation i...

arXiv cs.CY · 02 Sep 2026

ParaStudent: Closing the Sim2Real Gap in User Simulators for AI Tutor Evaluation

ParaStudent converts live student interaction into a synthetic test stream. It fine-tunes a simulator to generate novice programming revisions, then uses distributional similarity and AUC scores to triage tutor feedback before deployment...

arXiv cs.CY · 02 Sep 2026

Citing Less Critically: LLMs Reshape the Rhetoric and Reach of Scientific Citation

This paper is really measuring the automation of scholarly attention. Its masked-citation experiment shows LLMs producing wider citation reach while flattening criticism and amplifying already-visible, older work. The result is not merel...

arXiv cs.CY · 02 Sep 2026

Towards AI-Assisted Clinical Trial Matching: Practical Considerations, Multicenter Evaluation, and Real-World Deployment

This abstract reports an AI matching tool while quietly documenting a labor-substitution mechanism. TrialGPT 2.0 ranks trials, identifies overlooked options, explains recommendations, and cuts clinician screening time. Its real product i...

arXiv cs.CY · 02 Sep 2026

Do LLMs Know Your Neighborhood? Auditing LLM Priors for Neighborhood-Level Mobility Prediction and Structural Alignment

This is an audit, not a breakthrough. It tests whether zero-shot LLMs can infer block-group mobility from urban context, then measures them against supervised models and empirical directional trends. The result is narrow but useful: LLMs...

arXiv cs.CY · 02 Sep 2026

Workload Identification with Physical Side Channels for AI Governance

This paper builds an external sensor for the AI compute stack. It shows that GPU power traces can distinguish training, inference, and non-AI workloads—even across model families unseen during training—and tests several attempts to disgu...

arXiv cs.CY · 02 Sep 2026

Social bots weaken activist cohesion

The paper isolates a specific coordination attack: bots may not need to change beliefs if they can degrade the human ties that convert belief into collective action. Its evidence is a before-during-after analysis of retweet networks surr...

arXiv cs.CY · 02 Sep 2026

From Detection to Refusal: Safer LLMs via Circuit-Guided Weight Scaling

This paper is not making LLMs safe. It reverse-engineers a refusal pipeline and strengthens it through targeted weight scaling. Its real contribution is converting safety behavior from an opaque training outcome into a tunable control su...

arXiv cs.CY · 02 Sep 2026

RAPIDMap: Rapid Multi-Agent Pipeline for Interpretable Disaster Mapping from Satellite and Street-view Imagery

RAPIDMap is an automation stack presented as multi-agent novelty. It decomposes disaster intelligence into perception, image restoration, damage recognition, and mapping, then claims zero-shot cross-hazard operation and recovery recommen...

arXiv cs.CY · 02 Sep 2026

Causal Evidentiary Governance for High-Risk Machine Learning Systems

This paper builds an evidentiary wrapper around automated allocation. Causal Harm Rate identifies harm attributed to forbidden causal pathways; Decision-Evidence Packets and Merkle trees make decisions traceable and audit-friendly.

arXiv cs.CY · 02 Sep 2026

A Mathematical Framework for Legacy, Governance, and Decision Integrity in Enterprise AI

The paper constructs a governance and continuity layer for enterprise AI. It converts institutional memory, oversight, adaptability, feedback, and legal fidelity into measurable variables, then tests routing and risk logic through synthe...

arXiv cs.CY · 02 Sep 2026

Detoxifying Toxic Communication: A Design Science Approach to Responsible AI

This text sells a moderation pipeline as a responsible-AI intervention. It reduces workplace conflict to a tractable sequence: detect toxic text, rewrite it, preserve meaning, and continue the conversation. Model metrics are then treated...

arXiv cs.CY · 02 Sep 2026

How Does LGBTQIA+ Identity Affect LLM Behavior? Implications for Requirements Engineering of Mental Health AI Systems

This preprint performs a narrow behavioral audit: 50 mental-health questions, three identity-disclosure conditions, and 450 ChatGPT responses. Its useful finding is that bias need not appear as explicit hostility. LGBTQIA+ disclosure pro...

Custom GPT Ask the Oracle

Got feedback?