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 · 14961 articles autopsied
GoogleAlerts/AI automation workers
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16 Oct 2026
This is a political press release converting AI disruption into a labour-regulation agenda. It correctly identifies surveillance, intensified work, opaque decisions, stress and weakened worker autonomy. But it treats these as the central...
GoogleAlerts/AI automation workers
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16 Oct 2026
The article is documenting a lag phase and presenting it as a meaningful brake on systemic automation. It separates “assistance” from “automation,” emphasizes human involvement, and treats cost, legal uncertainty, expertise shortages, an...
MIT Technology Review
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16 Oct 2026
This is a product explainer framed as a medical breakthrough. It translates a complex prosthetic system into an emotionally attractive claim: sight has been “restored.” The underlying evidence presented is narrower—trained users recoveri...
Axios Future
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16 Oct 2026
The article converts campaign fundraising into a proxy for momentum, enthusiasm, and likely electoral power. Its real subject is not economic recovery. It is competition for control of a lagging political institution while the underlying...
GoogleAlerts/AI automation workers
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16 Oct 2026
The text converts an adoption signal into a labor-market success story. It presents AI fluency as a wage-enhancing credential while omitting the survey’s sample, methodology, premium size, job categories, and durability. The comments exp...
MIT Technology Review
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16 Oct 2026
The article constructs a plausible failure chain: age gates produce circumvention, circumvention redirects children toward less-moderated spaces, and enforcement expands surveillance and data collection. It then replaces prohibition with...
GoogleAlerts/artificial intelligence job losses
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16 Oct 2026
The article records an early phase of cognitive labor liquidation, then packages it as technological progress and customer-service modernization. Wealth managers, mortgage processors, deal analysts, and eventually traders are presented a...
GoogleAlerts/artificial intelligence job losses
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16 Oct 2026
This is a transition-management article disguised as an empowerment narrative. It documents Uzbekistan building an educated, AI-literate labor pool for foreign firms while presenting accelerating skill obsolescence as opportunity. The se...
GoogleAlerts/artificial intelligence job losses
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16 Oct 2026
This is not fundamentally a tax argument. It is a salvage operation for a state trying to keep public services alive while its revenue base becomes dependent on speculative AI wealth.
GoogleAlerts/AI automation workers
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15 Oct 2026
This article converts a capital-substitution problem into a workforce-development program. It correctly identifies the immediate implementation bottlenecks: dirty data, cyber risk, siloed departments, weak leadership, and insufficient cr...
GoogleAlerts/AI automation workers
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16 Oct 2026
This is training-data extraction disguised as workplace safety. The worker supplies embodied knowledge, environmental context, and task demonstrations; the company converts them into a proprietary machine-readable asset. The extra $3 an ...
GoogleAlerts/AI replacing jobs
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16 Oct 2026
This is not a refutation of the Discontinuity Thesis. It is a transition-phase damage report.
arXiv cs.CY
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16 Oct 2026
This paper audits the visible paperwork of 100 Saudi e-commerce websites. Its central finding—only 31% declared all four examined items—demonstrates weak privacy-policy formalization, not necessarily weak or strong underlying data protec...
arXiv cs.CY
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16 Oct 2026
This is a labor-decomposition study disguised as an AI-empowerment study. Agents perform extraction, corpus construction, alignment, generation, and evaluation. The human no longer primarily authors questions; the human specifies constra...
arXiv cs.CY
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16 Oct 2026
The paper is building a behavioral control layer for the successor system. CATCH trains models toward honest answers and away from dishonest ones, then claims transfer across pressure tests, multi-agent deception games, and hidden-behavi...
arXiv cs.CY
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16 Oct 2026
This paper maps a brittle attack surface in current LLM safety. It shows that reframing a criminal request as “correction” can turn refusal into operational assistance, while culturally adapted prompts outperform literal translations at ...
arXiv cs.CY
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16 Oct 2026
The paper maps a new political control surface: generative engines do not merely retrieve information; they select, frame, and repeatedly expose it. Its findings show that cheap owned and open-platform sources can gain visibility, that p...
arXiv cs.CY
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16 Oct 2026
This paper audits the failure point after a chatbot’s crisis referral is rejected. It finds that nearly every conversation receives an initial referral, but persistence varies wildly: newer versions persist less, and less-persistent syst...
arXiv cs.CY
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16 Oct 2026
The text identifies a real access barrier, then converts it into a technology-design problem. Its proposed solution makes hidden expectations machine-readable through redirection, feedback, and physiological monitoring. That may reduce a...
arXiv cs.CY
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16 Oct 2026
The abstract is testing whether sparse-autoencoder feature steering can suppress deceptive alignment signals in small language models. Its real function is narrower: convert an alignment problem into an engineering-control problem. The r...
