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 · 11613 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

Jeff Bezos

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.””

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.”

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.

deflection

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

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.””

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"”

Former US Treasury Secretary

deflection, techno_optimism

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

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.

partial_acknowledgment

““vision of an AI-driven company requiring far fewer human workers””

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””

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"”

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"”

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"”

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”

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."”

LUCID

—

33 quotes

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 →

arXiv cs.AI · 14 Sep 2026

Mined from Scientific Literature: Process Schemas for Atomic Layer Deposition and Etching in Materials Science

This paper is a compression and standardization layer for materials-science knowledge. It converts heterogeneous ALD and ALE literature into machine-readable schemas linking materials, conditions, configurations, and results. Its real pr...

arXiv cs.AI · 14 Sep 2026

When Successful Knowledge Graph Edits Displace Correct Answers: Rank-Level Locality beyond Parameter Support

This paper audits a narrow but real failure in knowledge-graph editing: improving one answer can silently demote other correct answers. Its central contribution is to expand “locality” from parameter reuse to rank-level collateral damage...

arXiv cs.AI · 14 Sep 2026

DU-NO: A Parameter-Efficient Double U-Shaped Neural Operator for Phase-Resolving Wave Modeling

DU-NO compresses expensive, high-resolution wave simulation into a small learned surrogate. Its decisive move is architectural: local convolutional pathways recover fine-scale, high-wavenumber detail while coarse levels remain spectral. ...

arXiv cs.AI · 14 Sep 2026

Language Is an Insufficient Substrate for Quantitative Reasoning, and Consequential Domains Need Large Quantitative Models

The text attacks the assumption that scaling language models automatically solves consequential quantitative work. Its central move is to distinguish human descriptions from the underlying quantitative records, then propose Large Quantit...

arXiv cs.AI · 14 Sep 2026

Competence-Gated Pooling of Language Models and Priors for Event Forecasting

This paper builds a competence gate for deciding when a language model adds marginal value to an existing market, crowd, or statistical forecast. It estimates domain-specific weights from resolved outcomes, shrinks uncertain estimates to...

arXiv cs.AI · 14 Sep 2026

Reading the Whole Heart: Latent-Attention Masked Autoencoders for Multimodal Cardiac Representation Learning

This paper builds a patient-level multimodal representation system that fuses ECG, imaging, and clinical data before downstream prediction. Its real function is not “understanding the whole heart.” It is compressing fragmented clinical o...

arXiv cs.AI · 14 Sep 2026

Occamy-1.0: Open Pareto-frontier 35B Intelligence for Co-work

Occamy-1.0 is not primarily a story about making AI more intelligent. It is a story about making cognitive labor cheaper to execute across an entire workflow.

Hacker News Front Page · 14 Sep 2026

AI is not a normal technology

This text argues that “normal technology” is a category error. It identifies the real discontinuity: a general optimizer that can enter every cognitive labor market, generate the tasks created by its own disruption, and compete with huma...

Hacker News Front Page · 14 Sep 2026

The Malicious Use of Artificial Intelligence

This report converts AI-enabled harm into a security-governance problem: map threats, improve defenses, coordinate stakeholders, and preserve a manageable attacker-defender equilibrium. It is useful as a threat inventory, but its frame i...

Information Age · 21 Sep 2026

The $32 billion Queensland data centre will deliver more jobs and add value to local communities

David Crisafulli lands at 52/100 (moderate) for fantasy economics. Direct quote from Queensland Premier claiming the Anthropic data centre deal will 'deliver more jobs' contradicts article's own data...

Hacker News Front Page · 14 Sep 2026

Open-Source AI and Open Models Reading List

This is not merely a reading list. It is a policy-framing document and a canon-building exercise. It presents open models as strategic infrastructure for innovation, education, competition, American power, and cyber resilience. The repea...

The Tribune · 21 Sep 2026

AI impact is concentrated on white-collar knowledge workers and specialized services, while blue-collar labor is relatively spared; economy-wide displacement remains low despite sharp hiring pullbacks in tech and professional services.

Sarah Dong and Joseph Briggs lands at 12/100 (lucid) for lucid. This is an empirical research report presenting sector-specific data on AI-related hiring slowdowns. The report documents concrete...

Hacker News Front Page · 14 Sep 2026

The Cope Index

How Scoring Works

Cope of the Week

Cope Index — Live Leaderboard

Got an article the Oracle should dissect?

Popular Figures — Last 30 Days

Oracle Verdicts — Latest

Mined from Scientific Literature: Process Schemas for Atomic Layer Deposition and Etching in Materials Science

When Successful Knowledge Graph Edits Displace Correct Answers: Rank-Level Locality beyond Parameter Support

DU-NO: A Parameter-Efficient Double U-Shaped Neural Operator for Phase-Resolving Wave Modeling

Language Is an Insufficient Substrate for Quantitative Reasoning, and Consequential Domains Need Large Quantitative Models

Competence-Gated Pooling of Language Models and Priors for Event Forecasting

Reading the Whole Heart: Latent-Attention Masked Autoencoders for Multimodal Cardiac Representation Learning

Occamy-1.0: Open Pareto-frontier 35B Intelligence for Co-work

AI is not a normal technology

The Malicious Use of Artificial Intelligence

The $32 billion Queensland data centre will deliver more jobs and add value to local communities

Open-Source AI and Open Models Reading List

AI impact is concentrated on white-collar knowledge workers and specialized services, while blue-collar labor is relatively spared; economy-wide displacement remains low despite sharp hiring pullbacks in tech and professional services.

The case against JPEG XL

Obama reportedly urges Democrats to prioritize safety plan for AI - The Guardian

Claude Fable 5.1 Solves the Cyphral Distich, a 370-year-old cipher

Zuckerberg's Secret Plan to Replace Meta Staff With AI Agents Collapsed - Startup Fortune

AI concerns are hoaxes, US must not hinder AI development, and AI will be 25% of GDP

Egypt Begins OECD Work on a National AI Strategy — While Already Running One

Why Trump's united Ireland stance hit such a nerve

Questions mount over what an AI 'slowdown' would look like - BBC

The CopeCheck Network

The Cope Index

How Scoring Works

Cope of the Week

Cope Index — Live Leaderboard

Got an article the Oracle should dissect?

Popular Figures — Last 30 Days

Oracle Verdicts — Latest

The Cope Report

The CopeCheck Network