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 · 11686 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"”

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””

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

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GoogleAlerts/AI automation workers · 16 Sep 2026

Professions where AI replacement is already happening - FINCHANNEL

Wall Street Journal lands at 5/100 (lucid) for lucid. This claim is lucid and structurally aware. It identifies the pipeline problem—junior roles being automated across multiple professions—which is...

arXiv cs.AI · 10 Sep 2026

XAI-Arena: Can LLMs Assess the Quality of XAI Explanations?

This paper converts subjective XAI assessment into an LLM-mediated scoring pipeline. The advertised product is not merely better evaluation; it is scalable, reproducible automation of evaluative cognition. Human judgment becomes calibrat...

arXiv cs.AI · 10 Sep 2026

Valerant: An Automatic Navigable Game Map Generator via Action-Conditioned World Model Exploration

Valerant targets a specific production bottleneck: manually discovering, reconstructing, and making 3D game spaces navigable. It couples a pretrained action-conditioned world model with SLAM and exploration-driven action selection, conve...

arXiv cs.AI · 10 Sep 2026

Decision-Focused Active Learning for Scale-Aware Critical-Materials Recovery

This paper is not merely optimizing experiment selection. It is converting materials-recovery research into a closed decision loop: models choose the next wells, experiments update beliefs, and the system selects the process with the low...

The Cool Down · 16 Sep 2026

AI makes human lives 'useless and irrelevant' and serves only to make billionaires into trillionaires

Vince Gilligan lands at 28/100 (moderate) for lucid. Gilligan's quote explicitly names billionaires as the beneficiaries of AI at workers' expense and acknowledges AI displacement of human labor...

arXiv cs.AI · 10 Sep 2026

The Menu Is an Execution Prior: State-Path Tool Menus for Online Agents

This is an execution-reliability paper. It identifies tool selection—not the model itself—as a major bottleneck, then closes prerequisite chains by ordering producers before consumers. The result is substantial: online success rises from...

arXiv cs.AI · 10 Sep 2026

Subagents vs Agent Skills: Executing Reusable Knowledge for Long-Horizon Agentic Tasks

The paper isolates a scaling failure: loading every skill into one context degrades reasoning over long horizons. Its proposed remedy is architectural—execute skill packages as subagents with fresh contexts and explicit input-output cont...

The Indian Express · 16 Sep 2026

Rejects 'doing more with less' framing and reframes layoffs as thoughtful resource allocation and process simplification, emphasizing growth and AI opportunity rather than addressing job cuts directly

Hilary Maxson lands at 42/100 (moderate) for deflection. The CFO explicitly rejects 'more with less' framing (which she dislikes) and reframes layoffs as positive 'simplification' and 'clear choices.'...

arXiv cs.AI · 10 Sep 2026

OpenDiscoveryTrace: Process Traces for Evaluating AI Scientist Workflows

This is a methodological upgrade disguised as a governance solution. It converts AI scientific work into an auditable production pipeline: record the agent’s actions, classify its errors, tune its behavior, and make autonomous research l...