{ "schemaVersion": 1, "namespace": "appstore2031/storefront/v2", "editionId": "2031-2026-08-02", "candidateId": "category-006-candidate-09", "canonicalCandidateSha256": "fe0e02492af23f2628012104dd240eb9643a737f73aa196570b0498bf0a7a887", "fictionalDisclosure": true, "fiction": { "name": "StillYours", "developerName": "Human Edge Cooperative", "iconAsset": "/storefront/v2/icons/category-006-candidate-09.svg", "iconTheme": { "motif": "A distinct geometric mark derived from the fictional name.", "palette": "High-contrast spectral gradient.", "shapeLanguage": "Rounded app-store tile with a clear lettermark.", "accessibilityNote": "The name remains visible beside the icon; colour is not the only identifier." }, "storeDescription": "StillYours checks whether a worker retains the judgement needed when everyday assistance fails. Together, the worker and a human assessor choose one bounded, safe challenge that respects normal accessibility tools. The worker explains decisions, handles a realistic variation and can stop at any time. The result is never a permanent score. It shows which capability is current, which support belongs in normal work and which skill needs paid practice, followed by a new human review rather than punishment.", "rating": 4.4, "ratingLabel": "imagined 2031 rating", "reviews": [ { "reviewerAlias": "AssistiveEngineer", "title": "It tested judgement, not my disability", "body": "I kept the tools I normally use and was asked to spot a dangerous sensor mismatch. The result led to paid practice, not a mark against my job.", "stars": 5, "stance": "benefit", "fictionalDisclosure": true }, { "reviewerAlias": "UnionRepK", "title": "One assessor drew the support line badly", "body": "A member was initially told to remove a normal accessibility aid. We won the appeal, but that mistake shows how quickly a fair-sounding challenge can exclude people.", "stars": 2, "stance": "critical", "fictionalDisclosure": true } ] }, "category": { "id": "category-006", "name": "Skills, Safe Work and Next Steps", "plainLanguageDefinition": "Services that turn rapid changes in work into paid practice, safer jobs, trusted proof and a real next step. A listing must finish with something people can see: demonstrated skill, protected pay, a repaired system, a safer workload or a named paid destination.", "recurringBrowsePurpose": "A learner, worker, representative, employer or training body building capability, managing a work change, or correcting unsafe, unsupported and invisible human work.", "completion": { "trigger": "A work or learning change removes practice, hides human rescue, shifts blame, intensifies unsafe work or leaves a person without support, accepted skill evidence or a realistic next step.", "boundedWork": "Explain the change; provide paid supervised tasks, current instructions, tools, spares, safe access and a named mentor; record feedback, workload and intervention; protect pay, rest, care duties, stop and challenge routes; involve workers in redesign; issue limited portable proof; and arrange a supported next step.", "observableDone": "The person completes fresh supervised or maintenance work safely and on time, explains choices, responds to an error and demonstrates retained skill. They receive mentor feedback and accepted proof containing only needed evidence. They can see material tracking, stop danger, obtain due pay, rest or short support, keep chosen care duties and use a grievance route. Outcomes are reported by group and place, and a named paid next step or supported alternative follows." } }, "rank": { "mainChartPosition": 7, "rangeAcrossWeights": [ 2, 9 ], "dominantWorldIds": [ "W02" ], "whyAboveNext": "It ranks above ProofFerry because it directly creates fresh evidence through observed work and includes paid remediation; ProofFerry mainly governs whether other organisations will accept evidence created elsewhere.", "whyThisPosition": "Its 2031 logic, repeat use and callable finish are strong. It ranks seventh because the safety problem is unusually sharp: a badly designed challenge could become ableist, punitive or falsely precise, and different places may disagree about which unaided skills must actually be retained.", "couldMoveUpIf": "It could rise if workers, disability advocates and professional bodies jointly prove that bounded challenge rounds improve safety without excluding legitimate support.", "couldMoveDownIf": "It would fall if assistance remains dependable during every relevant failure, or if employers use challenge results for firing, insurance denial or withdrawal of accessibility tools.", "strongestCounterCase": "The service could revive exclusionary testing and ableism in the language of resilience. Designing systems that fail safely may be better than demanding that workers preserve rarely used unaided abilities.", "publishedChartAppearances": [ { "chart": "main", "rank": 7, "worldId": null, "geographicLensId": null, "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W01", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W02", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W03", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W04", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W05", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W06", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W01", 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"conditional", "rank": 9, "worldId": "W04", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W05", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W06", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W01", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W02", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W03", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W04", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W05", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W06", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W01", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W02", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W03", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W04", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W05", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W06", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W01", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W02", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W03", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W04", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W05", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W06", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W01", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W02", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W03", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W04", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W05", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W06", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W01", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W02", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W03", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W04", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W05", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W06", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W01", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W02", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W03", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W04", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W05", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W06", "geographicLensId": "other-material-paths", "weightSetId": null } ] }, "salesPromise": "Find out which vital skills are still yours after years of machine help—and get paid practice for the gaps.", "whatItDoes": { "headline": "A retained-skill challenge round", "summary": "It runs short, paid and human-reviewed skill challenges for work usually done with machine assistance, then separates safe normal support from a genuine capability gap and funds practice instead of punishment.", "steps": [ "The worker chooses a bounded capability and reviews the support that will be available and temporarily withheld.", "A qualified human prepares a safe paid task with one unfamiliar variation and clear stop conditions.", "The worker completes the task, explains choices and identifies when assistance would be unsafe or insufficient.", "The reviewer records only the demonstrated capability, needed support and next paid practice date." ], "outcome": "The worker and accountable operator know which skill is retained, which support is needed and what paid practice must happen next." }, "whyOnTheList": { "headline": "Assistance can conceal skill decay", "summary": "By 2031, people may produce impressive work with dependable assistance while getting fewer chances to notice an edge case or recover when the help disappears. Essential services still need to know where human agency is real. StillYours makes that question answerable without pretending all support is cheating or giving a machine power to end a career.", "why2031Not2026": "Competency tests exist today. This forecast assumes assistance is so normal that workplaces need recurring, worker-controlled checks of the boundary between supported performance and retained human recovery skill, with paid remediation and accessibility protection built in.", "worldShifts": [ { "shift": "By 2031, workers may complete complex-looking tasks with dependable assistance while losing the ability to recognise or recover from edge cases.", "causalChain": [ "Assistance handles more routine reasoning and action.", "Success metrics continue to look strong while unaided judgement receives fewer repetitions.", "A rare support failure exposes the gap.", "Paid, safe challenge rounds maintain capability and trigger targeted practice." ], "basis": "measured-trend", "evidenceIds": [ "src-metr-long-tasks-2025", "EWF-04", "EWF-05" ], "worldIds": [ "W02" ], "evidenceLimit": "The sources support present conditions and directional pressures. This 2031 world, product, name and rank are reasoned forecast artefacts." }, { "shift": "By 2031, workers may complete complex-looking tasks with dependable assistance while losing the ability to recognise or recover from edge cases.", "causalChain": [ "Assistance handles more routine reasoning and action.", "Success metrics continue to look strong while unaided judgement receives fewer repetitions.", "A rare support failure exposes the gap.", "Paid, safe challenge rounds maintain capability and trigger targeted practice." ], "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W02" ], "evidenceLimit": "The sources support present conditions and directional pressures. This 2031 world, product, name and rank are reasoned forecast artefacts." } ], "whyRepeatedUse": "Retention decays and task boundaries change, so evidence must be refreshed at intervals based on actual risk." }, "futureDistance": { "cutoffBaseline": "In 2026, competency checks and refresher courses can test skill, but they do not routinely distinguish legitimate support from unsafe dependence or guarantee paid remediation.", "structuralDifference2031": "Retained capability becomes a worker-controlled, recurring assurance layer around machine-mediated essential work.", "essential2031Conditions": [ "Assistance becomes normal enough to reduce unaided repetitions.", "Rare edge cases still require human judgement.", "Non-punitive paid review and remediation are enforceable." ], "notJustBetterAI": "The service governs human agency, support boundaries and access to physical practice; model performance alone cannot answer those questions.", "failureCondition": "If assistance remains reliably available across all relevant failures or ordinary work supplies enough unaided practice, recurring challenges are unnecessary." }, "howItCouldBeBuilt": { "overview": "Create worker-controlled capability intervals, safe task variants, human observation, accessibility protection and automatic paid remediation.", "components": [ { "name": "Capability interval planner", "plainLanguageRole": "Schedules review based on task change, risk and last real demonstration." }, { "name": "Support boundary card", "plainLanguageRole": "States which assistance remains, which is briefly withheld and why." }, { "name": "Remedial practice guarantee", "plainLanguageRole": "Turns a gap into paid supervised practice rather than punishment." } ], "dependencies": [ { "kind": "institutional", "name": "Non-punitive paid skill review", "plainLanguageRole": "Makes honest testing possible by separating a skill gap from discipline and guaranteeing practice.", "causalRequirement": "Sector agreements protect challenge rounds as learning and readiness events with appeal and funded practice.", "necessity": "essential", "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W02" ], "ifMissing": "Workers hide gaps, the test becomes punitive and the evidence loses value." } ], "hardestPart": "Testing genuine retained capability fairly when legitimate assistance and accessibility tools are part of how the worker actually performs.", "whatCouldBeSimpler": "Regular paid refresher training run by the employer." }, "harmsAndFailure": { "whoBenefits": [ "Visible retained human capability", "Targeted paid practice", "Earlier discovery of unsafe dependence" ], "warnings": [ "Disabled workers whose support is mislabelled as dependence", "Older workers exposed to biased assessment", "People in low-resource places with fewer practice sites" ], "waysItCouldFail": [ "Punitive testing", "Unsafe removal of support", "False assurance from a narrow challenge", "Detailed capability surveillance" ], "abuseRisks": [ "Employers test only selected workers", "Insurers demand full results", "Assessors design culturally narrow tasks" ], "safeguards": [ "Worker consent and representative oversight", "Protected accessibility support", "Multiple task forms and assessors", "Store only bounded outcome and next practice" ], "whenItMustStop": "The worker or assessor can halt immediately; no adverse result is recorded and pay continues." }, "rankExplanation": { "whyThisRank": "Its 2031 logic, repeat use and callable finish are strong. It ranks seventh because the safety problem is unusually sharp: a badly designed challenge could become ableist, punitive or falsely precise, and different places may disagree about which unaided skills must actually be retained.", "sourceWhyAboveNext": "It ranks above ProofFerry because it directly creates fresh evidence through observed work and includes paid remediation; ProofFerry mainly governs whether other organisations will accept evidence created elsewhere.", "plainEnglishWhyAboveNext": "It ranks above ProofFerry because it directly creates fresh evidence through observed work and includes paid remediation; ProofFerry mainly governs whether other organisations will accept evidence created elsewhere.", "couldMoveUpIf": "It could rise if workers, disability advocates and professional bodies jointly prove that bounded challenge rounds improve safety without excluding legitimate support.", "couldMoveDownIf": "It would fall if assistance remains dependable during every relevant failure, or if employers use challenge results for firing, insurance denial or withdrawal of accessibility tools.", "basis": "design-inference", "evidenceIds": [ "src-metr-long-tasks-2025", "EWF-04", "EWF-05", "PC-S03", "PC-S14", "SC-R01", "PC-S05", "PC-S06", "PC-S11", "SC-R06", "PC-S07", "PC-S15", "HBD-13", "SC-R04", "PC-S08", "HBD-11", "SC-R07", "SC-R08", "PC-S09", "PC-S10", "SC-R10", "SC-R12", "src-saudi-data-ai-strategy", "src-uae-ai-strategy-2031", "SC-R15", "SC-R16", "src-eclac-ilia-2025", "SC-R21", "SC-R22", "src-au-continental-ai-strategy-2024", "SC-R18", "SC-R19" ], "worldIds": [ "W02" ], "evidenceLimit": "The score and rank are authored judgements over sealed concepts, not measurements of future adoption." }, "grounding": { "scores": { "futureDistance": 5, "needScale": 4, "globalBreadth": 4, "marketplaceClarity": 5, "deliveryReadiness2031": 4, "trustAndSafety": 3, "total": 86 }, "evidenceAnchors": [ { "statement": "Measured machine-task horizons and uneven transfer justify uncertainty about performance outside practised conditions.", "basis": "measured-trend", "evidenceIds": [ "src-metr-long-tasks-2025", "EWF-04", "EWF-05" ], "worldIds": [ "W02" ] }, { "statement": "A worker-controlled paid challenge round is a proposed way to maintain capability without banning assistance.", "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W02" ] } ], "regionalVariation": [ { "geographyId": "united-states", "fit": "conditional", "explanation": "United States adoption depends on employment, disability and insurance protections across states and sectors.", "evidenceIds": [ "PC-S03", "PC-S14", "SC-R01" ] }, { "geographyId": "mainland-china", "fit": "conditional", "explanation": "Mainland China can organise large capability programmes, but provincial worker appeal and comparable outcome evidence matter.", "evidenceIds": [ "PC-S05", "PC-S06", "PC-S11", "SC-R06" ] }, { "geographyId": "european-union", "fit": "conditional", "explanation": "European Union data and worker protections offer a base, with member-state recognition and SME capacity variation.", "evidenceIds": [ "PC-S07", "PC-S15", "HBD-13", "SC-R04" ] }, { "geographyId": "india", "fit": "conditional", "explanation": "India's distributed systems create need, while rural sites, accessibility and state delivery determine fairness.", "evidenceIds": [ "PC-S08", "HBD-11", "SC-R07", "SC-R08" ] }, { "geographyId": "japan-and-republic-of-korea", "fit": "present", "explanation": "Japan and the Republic of Korea could connect supervised fleets, care and facility systems to recurring skill assurance.", "evidenceIds": [ "PC-S09", "PC-S10", "PC-S11", "SC-R10", "SC-R12" ] }, { "geographyId": "gulf-technology-economies", "fit": "conditional", "explanation": "Gulf technology economies can fund high-spec practice, but equal rights and support for all workers are required.", "evidenceIds": [ "src-saudi-data-ai-strategy", "src-uae-ai-strategy-2031", "SC-R15", "SC-R16" ] }, { "geographyId": "latin-america", "fit": "conditional", "explanation": "Latin American public systems can host rounds, while fiscal gaps and cross-place recognition remain barriers.", "evidenceIds": [ "src-eclac-ilia-2025", "SC-R21", "SC-R22" ] }, { "geographyId": "africa", "fit": "conditional", "explanation": "African regional assurance could support shared evidence, constrained by sites, mentors and maintenance funding.", "evidenceIds": [ "src-au-continental-ai-strategy-2024", "SC-R18", "SC-R19" ] }, { "geographyId": "other-material-paths", "fit": "unknown", "explanation": "Other material paths need evidence on skill-decay risk, accessibility, assessor supply and non-punitive use.", "evidenceIds": [] } ], "scenarioFit": [ { "worldId": "W02", "fit": "strong", "reason": "The assigned world combines maintained physical systems with extensive assistance, making retained human skill a recurring resilience requirement." } ], "resolutionCriteria": [ "The task is safe, paid, consented and representative of a meaningful capability.", "Accessibility support remains unless a qualified human agrees an alternative.", "The worker explains choices and responds to an unfamiliar variation.", "Any gap creates paid practice, appeal and a time-limited recheck." ] }, "evidenceLimitations": "Observed and published evidence grounds the world pressures and present constraints. The category, product, developer, reviews, rating and exact rank are fictional forecasts and may be wrong.", "datedCollisionAudit": { "cutoff": "2026-08-02", "auditedAt": "2026-08-03T23:59:59.000Z", "verdict": "future-dependent-no-collision-found", "publicReason": "no-material-collision-found. This is a search screen, not a trademark search, legal opinion, worldwide clearance or guarantee that an unindexed product does not exist. Search results can be incomplete, stale, user-generated or affected by punctuation and word-boundary errors. The verdicts describe only the material returned on 2026-08-03, and no-material-collision-found must not be presented as legal clearance.", "closestMatches": [ { "title": "Mohsen Farma - Still Your's", "url": "https://soundcloud.com/baijanrecords/mohsen-farma-still-yours", "reason": "The similar phrase is the title of a music release, not an app, software product, technology company or related digital service." }, { "title": "WILDA.ECO promo-code listing", "url": "https://wildaeco.knoji.com/promo-codes/", "reason": "STILLYOURS appears as a retail promotional code. That ordinary campaign use is not a material software or technology-product collision." } ] }, "evidenceReferences": [ { "kind": "source", "id": "src-metr-long-tasks-2025", "title": "Measuring AI Ability to Complete Long Tasks", "publisher": "Model Evaluation and Threat Research", "url": "https://metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-tasks/", "publishedAt": "2025-03-19", "accessedAt": "2026-08-02", "limitations": "The task set is weighted toward software and research work. A historical doubling trend does not guarantee continuation or transfer to 30-day, multi-stakeholder assignments.", "evidenceClass": "measured-trend", "geographies": [ "global" ] }, { "kind": "source", "id": "EWF-04", "title": "ILO, Generative AI and Jobs: A Refined Global Index of Occupational Exposure", "publisher": "ILO", "url": "https://www.ilo.org/publications/generative-ai-and-jobs-refined-global-index-occupational-exposure", "publishedAt": "2025-05-20", "accessedAt": "2026-08-01", "limitations": "Task exposure is not displacement, adoption, productivity or wage effect.", "evidenceClass": "measured-trend", "geographies": [ "Global", "Global/international" ] }, { "kind": "source", "id": "EWF-05", "title": "ILO/World Bank, Disruption without dividend?", "publisher": "ILO/World Bank", "url": "https://www.ilo.org/publications/disruption-without-dividend-how-digital-divide-and-task-differences-split", "publishedAt": "2026-03-17", "accessedAt": "2026-08-01", "limitations": "Internet access is a necessary but insufficient proxy for productive use; occupational structures will change.", "evidenceClass": "measured-trend", "geographies": [ "Multi-country", "Other/unspecified" ] }, { "kind": "source", "id": "PC-S03", "title": "United States Data Center Energy Usage Report: 2025 Update", "publisher": "Lawrence Berkeley National Laboratory", "url": "https://eta-publications.lbl.gov/publications/united-states-data-center-energy-2025", "publishedAt": "undated-at-access", "accessedAt": "2026-08-02", "limitations": "This is a US-only bottom-up model, not a global forecast. Shipment, lifetime, utilisation and cooling assumptions drive the range. It does not predict local tariffs, queue rules or who receives service.", "evidenceClass": "modelled-projection", "geographies": [ "United States" ] }, { "kind": "source", "id": "PC-S14", "title": "DOE Releases New Report Evaluating Increase in Electricity Demand from Data Centers", "publisher": "United States Department of Energy", "url": "https://www.energy.gov/articles/doe-releases-new-report-evaluating-increase-electricity-demand-data-centers", "publishedAt": "2024-12-20", "accessedAt": "2026-08-02", "limitations": "This short announcement adds little beyond the underlying LBNL report. Its 2028 scenario was later updated by LBNL's 2026 report.", "evidenceClass": "modelled-projection", "geographies": [ "United States" ] }, { "kind": "source", "id": "SC-R01", "title": "Our Epidemic of Loneliness and Isolation", "publisher": "United States Department of Health and Human Services, Office of the Surgeon General", "url": "https://www.hhs.gov/sites/default/files/surgeon-general-social-connection-advisory.pdf", "publishedAt": "2023-05-02", "accessedAt": "2026-08-02", "limitations": "Many reported health relationships are observational associations; United States evidence is not globally representative.", "evidenceClass": "measured-trend", "geographies": [ "United States" ] }, { "kind": "source", "id": "PC-S05", "title": "China releases plan to advance Digital China development", "publisher": "State Council of the People's Republic of China", "url": "https://english.www.gov.cn/news/202505/17/content_WS6827c405c6d0868f4e8f29cc.html", "publishedAt": "2025-05-17", "accessedAt": "2026-08-02", "limitations": "A target is not verified delivered or generally available capacity. EFLOPS measures are not automatically comparable across all hardware and workloads. The plan does not show that an individual can buy or move capacity freely.", "evidenceClass": "policy-intent", "geographies": [ "China" ] }, { "kind": "source", "id": "PC-S06", "title": "Systematically promote coordination between computing power and electricity and continue to increase green-power supply for data centres", "publisher": "National Data Administration of China", "url": "https://www.nda.gov.cn/sjj/swdt/sjdt/0318/20250318212051776584737_pc.html", "publishedAt": "2025-03-18", "accessedAt": "2026-08-02", "limitations": "The 80% figure is a policy objective, not independently verified achievement. PUE does not include all electricity-system, water, construction or chip impacts. This Chinese-language source requires careful translation and should not be paraphrased as a global rule.", "evidenceClass": "measured-trend", "geographies": [ "China" ] }, { "kind": "source", "id": "PC-S11", "title": "World Robotics 2025: Industrial Robots", "publisher": "International Federation of Robotics", "url": "https://ifr.org/ifr-press-releases/news/global-robot-demand-in-factories-doubles-over-10-years", "publishedAt": "2025-09-25", "accessedAt": "2026-08-02", "limitations": "Industrial robots are mainly bounded machines in factories; they are not proof of general-purpose home robots. Installations do not measure autonomy, reliability, task breadth or person-level access. The 2028 number is an industry forecast and could change with investment and trade conditions.", "evidenceClass": "measured-trend", "geographies": [ "global", "China", "Japan", "Republic of Korea", "India", "European Union", "United States", "Americas" ] }, { "kind": "source", "id": "SC-R06", "title": "China targets wider mutual-aid eldercare coverage by 2030", "publisher": "State Council of the People's Republic of China", "url": "https://english.www.gov.cn/news/202604/29/content_WS69f1abd1c6d00ca5f9a0ab18.html", "publishedAt": "2026-04-29", "accessedAt": "2026-08-02", "limitations": "A target is not proof of implementation, equitable access, service quality or social-connection outcomes.", "evidenceClass": "policy-intent", "geographies": [ "China" ] }, { "kind": "source", "id": "PC-S07", "title": "The AI Continent Action Plan", "publisher": "European Commission", "url": "https://digital-strategy.ec.europa.eu/en/library/ai-continent-action-plan", "publishedAt": "2025-04-09", "accessedAt": "2026-08-02", "limitations": "This is a policy plan, not proof that gigafactories or tripled capacity are operating. EU-wide goals hide national grid and permitting differences. The source does not establish open public access to supercomputing capacity.", "evidenceClass": "policy-intent", "geographies": [ "European Union" ] }, { "kind": "source", "id": "PC-S15", "title": "Robotics", "publisher": "European Commission", "url": "https://digital-strategy.ec.europa.eu/en/policies/robotics", "publishedAt": "2026-03-27", "accessedAt": "2026-08-02", "limitations": "A policy page is not deployment data. It does not establish that open-world autonomy will be reliable by 2031. Regulated care, transport, safety and security duties cannot be delegated to private software merely because a robot is involved.", "evidenceClass": "policy-intent", "geographies": [ "European Union" ] }, { "kind": "source", "id": "HBD-13", "title": "European Health Data Space Regulation", "publisher": "European Commission", "url": "https://health.ec.europa.eu/ehealth-digital-health-and-care/european-health-data-space-regulation-ehds_en", "publishedAt": "undated-at-access", "accessedAt": "2026-08-01", "limitations": "Entry into force is not operational interoperability; implementing acts, national readiness and enforcement remain consequential.", "evidenceClass": "measured-trend", "geographies": [ "European Union", "Europe/EU" ] }, { "kind": "source", "id": "SC-R04", "title": "Household composition statistics", "publisher": "Eurostat", "url": "https://ec.europa.eu/eurostat/statistics-explained/SEPDF/cache/29071.pdf", "publishedAt": "undated-at-access", "accessedAt": "2026-08-02", "limitations": "Household form does not measure loneliness or belonging; member-state patterns vary.", "evidenceClass": "measured-trend", "geographies": [ "European Union" ] } ], "rankingIndexPath": "rankings/category-006/index.json", "sourceReceipts": [] }