{ "schemaVersion": 1, "namespace": "appstore2031/storefront/v2", "editionId": "2031-2026-08-02", "candidateId": "category-006-candidate-11", "canonicalCandidateSha256": "6fc807b1ff06e6d1bc1ac5e78b3e86741f0e1a31d8dc4a9992bdb22cd41920e3", "fictionalDisclosure": true, "fiction": { "name": "ProofFerry", "developerName": "Open Practice Union", "iconAsset": "/storefront/v2/icons/category-006-candidate-11.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": "ProofFerry is a worker-owned agreement for moving practical skill evidence between employers. You choose a small set of verified tasks, explanations and human feedback for one purpose. The receiver either accepts that evidence against public criteria or pays for a quick fresh practical review. You can inspect, correct, revoke and export everything. There is no hidden reputation score. Disagreements go to an independent human panel, while employers and professional bodies keep responsibility for hiring, licensing and safe placement.", "rating": 4.5, "ratingLabel": "imagined 2031 rating", "reviews": [ { "reviewerAlias": "ThreeCityWelder", "title": "I stopped repeating unpaid tests", "body": "The new employer did not recognise my old host, so ProofFerry made them fund a two-hour practical review. I started paid work the following week.", "stars": 5, "stance": "benefit", "fictionalDisclosure": true }, { "reviewerAlias": "ClinicHiringLead", "title": "Portable does not always mean equivalent", "body": "The evidence was genuine but came from different equipment and safety rules. The paid recheck worked, though the app initially made our caution sound unfair.", "stars": 3, "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": 8, "rangeAcrossWeights": [ 3, 9 ], "dominantWorldIds": [ "W04" ], "whyAboveNext": "It ranks above Mendstep because its proof can travel across sectors and places, while a neighbourhood repair ladder depends on a local supply of safe jobs, materials, mentors and resident consent.", "whyThisPosition": "It addresses a large global bottleneck and offers a clear transaction. It ranks eighth because its central promise exists only if many employers voluntarily surrender cheap repeat testing and agree to fund human review; the technical record is much easier to build than the acceptance power.", "couldMoveUpIf": "It could rise if large employer networks and training bodies adopt enforceable acceptance-or-paid-review contracts with fast independent appeals.", "couldMoveDownIf": "It would fall if receivers keep ignoring unfamiliar evidence, if shared criteria become a hidden global ranking, or if context-specific safety makes proof too difficult to transfer.", "strongestCounterCase": "Acceptance contracts may pressure employers to trust evidence that does not fit a new context. Direct, funded local assessment could be safer and simpler than maintaining a cross-employer cooperative.", "publishedChartAppearances": [ { "chart": "main", "rank": 8, "worldId": null, "geographicLensId": null, "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W01", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W02", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W03", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W04", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W05", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W06", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W01", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W02", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W03", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W04", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W05", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W06", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W01", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W02", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W03", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W04", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W05", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W06", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W01", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W02", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W03", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W04", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W05", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W06", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W01", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W02", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W03", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W04", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W05", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W06", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W01", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W02", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W03", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W04", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W05", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W06", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W01", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W02", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W03", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W04", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W05", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W06", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W01", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W02", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W03", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W04", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W05", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W06", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 9, "worldId": "W01", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W02", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W03", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W04", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W05", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W06", "geographicLensId": "other-material-paths", "weightSetId": null } ] }, "salesPromise": "Carry proof of what you can really do—without carrying a lifetime of surveillance to every new employer.", "whatItDoes": { "headline": "A worker-owned proof cooperative", "summary": "It lets a worker share only selected proof of real tasks, verifies where it came from, and makes member employers either accept it against published rules or pay for a fresh human assessment.", "steps": [ "The worker selects a small set of verified task outcomes, explanations and human feedback for the stated purpose.", "The service checks origin and consent without releasing the wider work history.", "The receiver accepts the evidence against published criteria or pays for a prompt fresh practical review.", "The worker can correct, revoke and export the record, while disputes go to an independent human panel." ], "outcome": "The person crosses an employer or training boundary with usable, limited and correctable proof rather than repeating unpaid gates." }, "whyOnTheList": { "headline": "Portable evidence needs acceptance power, not another wallet", "summary": "Paid practice has little value if the next employer ignores it and demands another unpaid trial. By 2031, work evidence may be scattered across many hosts and machine-assisted systems. ProofFerry forecasts portability with teeth: worker control, correction and an acceptance-or-paid-review rule rather than another wallet full of files nobody must trust.", "why2031Not2026": "Digital credentials already travel in 2026. The future step is institutional, not cosmetic: employers across a cooperative bind themselves to shared bounded criteria, fund physical reassessment when they refuse proof, and accept independent process appeals.", "worldShifts": [ { "shift": "By 2031, work and learning may be spread across many systems, hosts and machine-assisted tasks, making simple certificates less informative.", "causalChain": [ "Real skill evidence becomes fragmented across hosts and tools.", "Receiving organisations distrust unfamiliar formats and demand new unpaid trials.", "A cooperative verifies limited evidence and binds members to acceptance-or-paid-review.", "Correction, revocation and human appeal keep proof useful without turning it into surveillance." ], "basis": "measured-trend", "evidenceIds": [ "EWF-04", "EWF-05" ], "worldIds": [ "W04" ], "evidenceLimit": "The sources support present conditions and directional pressures. This 2031 world, product, name and rank are reasoned forecast artefacts." }, { "shift": "By 2031, work and learning may be spread across many systems, hosts and machine-assisted tasks, making simple certificates less informative.", "causalChain": [ "Real skill evidence becomes fragmented across hosts and tools.", "Receiving organisations distrust unfamiliar formats and demand new unpaid trials.", "A cooperative verifies limited evidence and binds members to acceptance-or-paid-review.", "Correction, revocation and human appeal keep proof useful without turning it into surveillance." ], "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W04" ], "evidenceLimit": "The sources support present conditions and directional pressures. This 2031 world, product, name and rank are reasoned forecast artefacts." } ], "whyRepeatedUse": "Workers present different evidence for each role and update it after each material skill change." }, "futureDistance": { "cutoffBaseline": "In 2026, digital credential wallets can carry records, but they do not generally bind employers to accept evidence or fund a fresh human review.", "structuralDifference2031": "Portability is enforced through a cooperative acceptance obligation, correction power and physical assessment capacity.", "essential2031Conditions": [ "Work evidence is fragmented across many hosts and tools.", "Employers agree to shared bounded criteria.", "Paid human reassessment is widely available." ], "notJustBetterAI": "The indispensable capability is institutional acceptance with worker control and accountable human review, not smarter extraction or matching.", "failureCondition": "If receivers remain free to ignore proof without cost, the cooperative cannot deliver its central promise." }, "howItCouldBeBuilt": { "overview": "Join worker consent, source verification, occupation-specific criteria, member contracts, paid assessment capacity and independent appeals.", "components": [ { "name": "Selective evidence envelope", "plainLanguageRole": "Releases only the task, feedback and context a worker chooses for one purpose." }, { "name": "Acceptance contract", "plainLanguageRole": "Requires a member to accept matching evidence or fund a fresh review with stated reasons." }, { "name": "Independent correction panel", "plainLanguageRole": "Resolves disputed origin, context and assessment without creating a universal rank." } ], "dependencies": [ { "kind": "institutional", "name": "Cross-employer acceptance compact", "plainLanguageRole": "Makes portable proof economically useful by imposing a cost on unexplained rejection.", "causalRequirement": "Member employers and training bodies accept bounded evidence or pay for a prompt human reassessment.", "necessity": "essential", "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W04" ], "ifMissing": "The product is only data storage and cannot carry a person into a next step." } ], "hardestPart": "Making institutions accept another organisation's evidence while preserving their legitimate duty to review safety-critical competence.", "whatCouldBeSimpler": "A bilateral recognition agreement between two employers." }, "harmsAndFailure": { "whoBenefits": [ "Less repeated unpaid assessment", "Greater worker control of evidence", "Faster fair movement between employers" ], "warnings": [ "Workers with sparse or non-standard evidence", "Small employers facing assessment costs", "People wrongly linked to another person's record" ], "waysItCouldFail": [ "Credential surveillance", "Fraud and mistaken identity", "False equivalence across different work contexts", "Exclusion through published criteria" ], "abuseRisks": [ "Employers demand the full wallet", "Data brokers assemble a permanent score", "A host inflates evidence to place learners" ], "safeguards": [ "Purpose-limited disclosure and deletion", "Human source checks and correction", "Context labels and fresh paid review", "Group-level bias audits with public criteria" ], "whenItMustStop": "Stop sharing after identity, consent or integrity doubt; preserve the worker's access and appeal." }, "rankExplanation": { "whyThisRank": "It addresses a large global bottleneck and offers a clear transaction. It ranks eighth because its central promise exists only if many employers voluntarily surrender cheap repeat testing and agree to fund human review; the technical record is much easier to build than the acceptance power.", "sourceWhyAboveNext": "It ranks above Mendstep because its proof can travel across sectors and places, while a neighbourhood repair ladder depends on a local supply of safe jobs, materials, mentors and resident consent.", "plainEnglishWhyAboveNext": "It ranks above Mendstep because its proof can travel across sectors and places, while a neighbourhood repair ladder depends on a local supply of safe jobs, materials, mentors and resident consent.", "couldMoveUpIf": "It could rise if large employer networks and training bodies adopt enforceable acceptance-or-paid-review contracts with fast independent appeals.", "couldMoveDownIf": "It would fall if receivers keep ignoring unfamiliar evidence, if shared criteria become a hidden global ranking, or if context-specific safety makes proof too difficult to transfer.", "basis": "design-inference", "evidenceIds": [ "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", "SC-R23", "src-au-continental-ai-strategy-2024", "horizon.geopolitics-governance-security.s22", "SC-R18", "SC-R19" ], "worldIds": [ "W04" ], "evidenceLimit": "The score and rank are authored judgements over sealed concepts, not measurements of future adoption." }, "grounding": { "scores": { "futureDistance": 4, "needScale": 5, "globalBreadth": 4, "marketplaceClarity": 5, "deliveryReadiness2031": 3, "trustAndSafety": 4, "total": 84 }, "evidenceAnchors": [ { "statement": "Uneven transfer across tasks supports the need for bounded evidence and fresh human review rather than broad claims of competence.", "basis": "measured-trend", "evidenceIds": [ "EWF-04", "EWF-05" ], "worldIds": [ "W04" ] }, { "statement": "An acceptance-or-paid-review cooperative is a proposed institutional capability, not merely a technical credential format.", "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W04" ] } ], "regionalVariation": [ { "geographyId": "united-states", "fit": "conditional", "explanation": "United States adoption depends on interstate compacts, sector liability and fragmented employer participation.", "evidenceIds": [ "PC-S03", "PC-S14", "SC-R01" ] }, { "geographyId": "mainland-china", "fit": "conditional", "explanation": "Mainland China could support common formats at scale, but provincial portability, correction and fair challenge require evidence.", "evidenceIds": [ "PC-S05", "PC-S06", "PC-S11", "SC-R06" ] }, { "geographyId": "european-union", "fit": "conditional", "explanation": "European Union data rights and mobility support the idea, with member-state and professional recognition differences.", "evidenceIds": [ "PC-S07", "PC-S15", "HBD-13", "SC-R04" ] }, { "geographyId": "india", "fit": "conditional", "explanation": "India could benefit from proof across states and distributed systems, but rural assessor access remains important.", "evidenceIds": [ "PC-S08", "HBD-11", "SC-R07", "SC-R08" ] }, { "geographyId": "japan-and-republic-of-korea", "fit": "conditional", "explanation": "Japan and the Republic of Korea could connect facility, fleet and care capability if employers accept bounded evidence.", "evidenceIds": [ "PC-S09", "PC-S10", "PC-S11", "SC-R10", "SC-R12" ] }, { "geographyId": "gulf-technology-economies", "fit": "conditional", "explanation": "Gulf technology economies can fund verification, but equal portability and correction rights for migrant workers are essential.", "evidenceIds": [ "src-saudi-data-ai-strategy", "src-uae-ai-strategy-2031", "SC-R15", "SC-R16" ] }, { "geographyId": "latin-america", "fit": "conditional", "explanation": "Latin American regional and city systems could gain from portable proof, constrained by fiscal and institutional variation.", "evidenceIds": [ "src-eclac-ilia-2025", "SC-R21", "SC-R22", "SC-R23" ] }, { "geographyId": "africa", "fit": "conditional", "explanation": "African regional assurance systems offer a route, though assessor, maintenance and rights capacity vary.", "evidenceIds": [ "src-au-continental-ai-strategy-2024", "horizon.geopolitics-governance-security.s22", "SC-R18", "SC-R19" ] }, { "geographyId": "other-material-paths", "fit": "unknown", "explanation": "Other material paths need evidence on institutional recognition, correction, assessor supply and worker control.", "evidenceIds": [] } ], "scenarioFit": [ { "worldId": "W04", "fit": "strong", "reason": "The assigned world creates cross-provider physical renewal work, making portable bounded evidence and affordable fresh review highly useful." } ], "resolutionCriteria": [ "The worker discloses only evidence needed for the stated decision.", "Every rejection cites a published criterion and triggers a funded human review.", "Corrections and revocations propagate to members within a defined period.", "Transfer outcomes and rejection patterns are reported by group and place." ] }, "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": [] }, "evidenceReferences": [ { "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" ] }, { "kind": "source", "id": "PC-S08", "title": "India's Common Compute Capacity Crosses 34,000 GPUs", "publisher": "Press Information Bureau, Government of India", "url": "https://www.pib.gov.in/PressReleasePage.aspx?PRID=2132817&lang=1®=3", "publishedAt": "2025-05-30", "accessedAt": "2026-08-02", "limitations": "Empanelled capacity is not the same as continuously available capacity. GPU counts do not capture performance differences, networking, storage or software readiness. Government reporting is not evidence that every person can access every listed resource.", "evidenceClass": "measured-trend", "geographies": [ "India" ] } ], "rankingIndexPath": "rankings/category-006/index.json", "sourceReceipts": [] }