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 · 11696 articles autopsied
GoogleAlerts/artificial intelligence job losses
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14 Sep 2026
Morningstar Economic Research Team lands at 52/100 (moderate) for minimisation. Morningstar explicitly minimizes AI labor market impact to 0.1% of employment while dismissing white-collar job declines as overstaffing...
GoogleAlerts/AI replacing jobs
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14 Sep 2026
Heather Berger lands at 68/100 (heavy cope) for fantasy economics. Claim frames displacement vulnerability as benefit, asserts displaced workers will capture AI gains without evidence, uses dot-com nostalgia...
GoogleAlerts/AI automation workers
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14 Sep 2026
Andy Schachtel lands at 74/100 (heavy cope) for fantasy economics. CEO of offshore BPO firm cherry-picks his own worker survey to argue AI won't displace his workforce, ignoring...
Axios Future
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09 Sep 2026
The text reduces the operation to its functional core: not persuasion, but turnout engineering. Anti-trans messaging is presented as a trigger for mobilizing GOP voters in four competitive Senate races. Its real subject is concentrated p...
Axios Future
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09 Sep 2026
The excerpt frames Medicare’s drug overhaul as a looming fiscal threat: the IRA caps seniors’ out-of-pocket costs, shifts more liability onto taxpayers, and potentially forces future tradeoffs. Its central move is to treat rising public ...
Axios Future
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09 Sep 2026
This is an autopsy of a feedback system, not a story about failed persuasion. The GOP has become a command hierarchy in which access, influence, and survival depend on obedience. “He’s the boss” is institutional surrender disguised as ma...
Stratechery
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09 Sep 2026
This is a teaser, not an analysis. It contrasts an impressive but socially distant capability demonstration with a consumer-facing personal agent that could enter everyday workflows. The headline also advertises “reward-hacking,” but the...
Hacker News Front Page
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09 Sep 2026
The text uses an insider resignation as a credibility weapon. It takes capability claims—hacking, rapid scientific disruption, resource acquisition—and welds them to a terminal scenario: recursively self-improving superintelligence. The ...
arXiv cs.CY
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09 Sep 2026
The note punctures benchmark worship. It shows that automated red-teaming can be highly effective inside a developer-defined threat model while remaining blind to harms the model’s designers never specified. Its real intervention is a de...
arXiv cs.CY
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09 Sep 2026
ABLE measures the point where general-purpose language models become operators of specialized biological systems: retrieving structures, generating sequences, selecting tools, and validating designs. Its decisive finding is not the leade...
arXiv cs.CY
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09 Sep 2026
This paper is trying to turn agent governance from managerial vapor into an auditable operating procedure. Its actual result is narrower and more revealing: governance does not create capability. It extracts additional performance only w...
arXiv cs.CY
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09 Sep 2026
This paper is a prototype report disguised as a systemic educational advance. It places a conversational AI layer over sensor and energy data, allowing teachers to query buildings, compare spaces, and generate lesson ideas. Its measured ...
arXiv cs.CY
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09 Sep 2026
This paper documents a real phenomenon: users experience companion-AI malfunctions as relationship injuries rather than ordinary software failures. It then converts that discovery into a design problem—make synthetic intimacy more resili...
arXiv cs.CY
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09 Sep 2026
CABAL is a controlled causality experiment for institutional sabotage. It converts hidden collusive intent into an explicit LLM-agent policy, holds the conference environment fixed, and traces the chain from affinity-guided collusion rin...
arXiv cs.CY
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09 Sep 2026
This paper is an autopsy of leaderboard epistemology. It shows that benchmark labels are not reliable descriptions of stable abilities. Safety benchmarks sharing a concept often produce weakly related rankings, while capability benchmark...
arXiv cs.CY
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09 Sep 2026
This paper is not solving synthetic media. It is designing a classification-and-liability apparatus around it. Its central move is to treat labelling as a socio-technical chain: legal threshold → provenance signal → interface exposure → ...
arXiv cs.CY
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09 Sep 2026
This paper attempts to rescue educational AI’s legitimacy. It correctly identifies agentic AI’s tendency to produce learner isolation, over-reliance, and dependency, while admitting that human-centered design cannot overcome systemic inc...
arXiv cs.CY
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09 Sep 2026
This is an agenda-setting and community-building document, not an economic analysis. It packages generative AI’s displacement of creative labor as a collaborative research field, emphasizing workshops, practitioners, and future direction...
arXiv cs.CY
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09 Sep 2026
This paper is building compliance plumbing around AI-chip export controls. It organizes verification by location, user, and use, then shifts execution toward exporters and private auditors because BIS lacks the capacity to do it alone. I...
arXiv cs.CY
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09 Sep 2026
This paper builds an orderly taxonomy for an unruly technological rupture. Its three domains—LLM as Social Minds, LLM Societies, and LLM-Human Interactions—map how academia is studying model behavior, agent collectives, and human adaptat...