{ "schemaVersion": 1, "namespace": "appstore2031/storefront/v2", "editionId": "2031-2026-08-02", "candidateId": "category-006-candidate-10", "canonicalCandidateSha256": "754de3d52c114d1f6b4c026cfde698b7a11ee93935f2288fd2d67e58b633c4bb", "fictionalDisclosure": true, "fiction": { "name": "NextBerth", "developerName": "Passage Labour Studio", "iconAsset": "/storefront/v2/icons/category-006-candidate-10.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": "NextBerth starts before a changing job vanishes. A human adviser explains what is happening, records the worker's choices and constraints, and protects income during the move. The service reserves a real paid job or apprenticeship first, then works backward to arrange a mentor, supervised tasks and any short support needed. The worker proves fresh judgement in practice. The receiving host must start the promised role or fund a supported alternative—never hide behind an unexplained score.", "rating": 4.5, "ratingLabel": "imagined 2031 rating", "reviews": [ { "reviewerAlias": "MaraChangesTrade", "title": "Training finally led somewhere real", "body": "My old inspection role shrank, but I kept my pay while learning heat-pump commissioning. The new employer was named before I started and honoured the date.", "stars": 5, "stance": "benefit", "fictionalDisclosure": true }, { "reviewerAlias": "OpenRoadSam", "title": "The guarantee felt like a narrow choice", "body": "The reserved role was genuine, yet most support disappeared when I asked to explore a different occupation. A safe bridge should not become the only road offered.", "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": 5, "rangeAcrossWeights": [ 2, 8 ], "dominantWorldIds": [ "W03" ], "whyAboveNext": "It outranks RecoveryLoom on the tie-break because role change is likely to touch more people repeatedly, and starting a paid destination is easier for an individual user to recognise than proving that rehearsal skill will transfer to a real emergency.", "whyThisPosition": "Its need scale and marketplace promise are extremely strong, especially if workers cross several task boundaries during a career. It ranks fifth because honest job reservations are harder to guarantee than a protected stop, and local hiring, benefits and licensing rules make global delivery uneven despite a universal need.", "couldMoveUpIf": "It could rise if workforce-change agreements require employers to fund a reserved destination and income bridge before large task reductions.", "couldMoveDownIf": "It would fall if reserved jobs are mostly speculative, employers cancel without consequence, or workers prefer unconditional income support and open choices over a managed route.", "strongestCounterCase": "Binding a person to a preselected destination may preserve obsolete jobs, narrow freedom and subsidise employers. Direct income support plus open access to learning could let workers choose more freely.", "publishedChartAppearances": [ { "chart": "main", "rank": 5, "worldId": null, "geographicLensId": null, "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W01", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W02", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W03", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W04", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W05", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W06", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W01", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W02", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W03", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W04", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W05", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W06", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W01", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W02", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W03", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W04", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W05", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W06", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W01", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W02", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W03", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W04", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W05", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W06", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W01", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W02", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 3, "worldId": "W03", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W04", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W05", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W06", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W01", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W02", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W03", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W04", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W05", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W06", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W01", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W02", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W03", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W04", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W05", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W06", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W01", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W02", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W03", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W04", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W05", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W06", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W01", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W02", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 2, "worldId": "W03", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W04", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W05", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W06", "geographicLensId": "other-material-paths", "weightSetId": null } ] }, "salesPromise": "Leave a disappearing role with your income intact and a real paid destination already waiting.", "whatItDoes": { "headline": "A guaranteed next-step bridge", "summary": "It reserves a paid destination before retraining begins, keeps income flowing, organises the exact supervised practice needed, and holds the current employer and receiving host to a named next step.", "steps": [ "A human adviser explains the change, preserves pay and maps the worker's chosen constraints, skills and interests.", "The service reserves a named paid destination and works backward to assemble supervised real tasks, a mentor and any short support.", "The worker completes fresh work, receives feedback and demonstrates judgement and error response.", "The receiving employer accepts limited proof or funds a fresh review, then starts the paid role or a supported alternative." ], "outcome": "The worker reaches a concrete paid role, apprenticeship or supported alternative without an unpaid gate or unexplained algorithmic rejection." }, "whyOnTheList": { "headline": "Transition support must end in a real destination", "summary": "A future full of cheap courses and smart matching can still leave people trained for jobs they never reach. If work changes faster than hiring and qualification cycles, the scarce thing is not advice—it is an accountable destination. NextBerth joins notice, pay, practice, proof and an actual job into one result the worker can verify.", "why2031Not2026": "Outplacement and job matching exist in 2026, but they rarely begin with a binding paid destination. This service depends on sector funds, practical proof standards and employers accepting shared responsibility for a transition before the old role ends.", "worldShifts": [ { "shift": "By 2031, task change can outpace ordinary course and recruitment cycles, leaving workers with completed training but no accepted route into paid work.", "causalChain": [ "An employer removes or transforms a role.", "The worker receives advice or training without a reserved destination.", "Recruitment filters reject the new evidence and income support expires.", "A destination-first bridge makes the liable organisations reserve work, practice and a final human decision." ], "basis": "measured-trend", "evidenceIds": [ "EWF-04", "EWF-05" ], "worldIds": [ "W03" ], "evidenceLimit": "The sources support present conditions and directional pressures. This 2031 world, product, name and rank are reasoned forecast artefacts." }, { "shift": "By 2031, task change can outpace ordinary course and recruitment cycles, leaving workers with completed training but no accepted route into paid work.", "causalChain": [ "An employer removes or transforms a role.", "The worker receives advice or training without a reserved destination.", "Recruitment filters reject the new evidence and income support expires.", "A destination-first bridge makes the liable organisations reserve work, practice and a final human decision." ], "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W03" ], "evidenceLimit": "The sources support present conditions and directional pressures. This 2031 world, product, name and rank are reasoned forecast artefacts." } ], "whyRepeatedUse": "People may cross several task boundaries during a career, and employers repeatedly need to redeploy rather than discard experienced staff." }, "futureDistance": { "cutoffBaseline": "In 2026, outplacement, course marketplaces and job matching rarely guarantee income continuity, real practice and a paid destination as one accountable service.", "structuralDifference2031": "A transition begins with a reserved destination and binds the current employer, training path and receiving host to an observable paid finish.", "essential2031Conditions": [ "Task change occurs faster than ordinary hiring and qualification cycles.", "Sector funds can underwrite binding destinations and continuity.", "Portable practical proof is accepted or promptly rechecked." ], "notJustBetterAI": "Prediction and matching cannot create a paid vacancy, wage guarantee, mentor or binding employer responsibility.", "failureCondition": "If destinations cannot be reserved honestly or workers prefer open-market movement without binding casework, the bridge's promise is not credible." }, "howItCouldBeBuilt": { "overview": "Build a governed reservation system for paid roles and apprenticeships, connected to supervised tasks, income holds, case management and limited proof.", "components": [ { "name": "Destination reservation", "plainLanguageRole": "Commits a receiving organisation to a real paid place or an explicit human-reviewed alternative." }, { "name": "Backward skill plan", "plainLanguageRole": "Chooses only the real tasks needed to reach the reserved destination." }, { "name": "Continuity account", "plainLanguageRole": "Keeps wages, travel, care, tools and emergency support available through the move." } ], "dependencies": [ { "kind": "institutional", "name": "Binding paid destination commitment", "plainLanguageRole": "Prevents training from becoming an unsupported waiting room with no employer responsible for the finish.", "causalRequirement": "Participating sectors require a named destination, wage, start window and human appeal before a bridge is marketed.", "necessity": "essential", "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W03" ], "ifMissing": "The service is only a course recommender and cannot promise a supported next step." } ], "hardestPart": "Securing credible paid destinations before organisations know exactly how future work and local demand will develop.", "whatCouldBeSimpler": "An employer's internal redeployment guarantee." }, "harmsAndFailure": { "whoBenefits": [ "Income continuity", "Training tied to a real role", "Clear accountability for transition" ], "warnings": [ "Workers channelled into lower-paid shortage roles", "People in places with few receiving employers", "Small firms unable to reserve future jobs" ], "waysItCouldFail": [ "Coerced occupational movement", "False destination promises", "Biased matching", "Regional talent extraction" ], "abuseRisks": [ "Employers use the bridge to avoid redundancy obligations", "Receiving hosts withdraw after receiving subsidised labour", "Case data becomes a blacklist" ], "safeguards": [ "Worker choice and independent advice", "Escrowed wages and withdrawal compensation", "Local retention targets and group outcome audits", "Minimal records with correction and deletion" ], "whenItMustStop": "Pause training when the destination, safety or wage promise materially changes; preserve the worker's status." }, "rankExplanation": { "whyThisRank": "Its need scale and marketplace promise are extremely strong, especially if workers cross several task boundaries during a career. It ranks fifth because honest job reservations are harder to guarantee than a protected stop, and local hiring, benefits and licensing rules make global delivery uneven despite a universal need.", "sourceWhyAboveNext": "It outranks RecoveryLoom on the tie-break because role change is likely to touch more people repeatedly, and starting a paid destination is easier for an individual user to recognise than proving that rehearsal skill will transfer to a real emergency.", "plainEnglishWhyAboveNext": "It outranks RecoveryLoom on the tie-break because role change is likely to touch more people repeatedly, and starting a paid destination is easier for an individual user to recognise than proving that rehearsal skill will transfer to a real emergency.", "couldMoveUpIf": "It could rise if workforce-change agreements require employers to fund a reserved destination and income bridge before large task reductions.", "couldMoveDownIf": "It would fall if reserved jobs are mostly speculative, employers cancel without consequence, or workers prefer unconditional income support and open choices over a managed route.", "basis": "design-inference", "evidenceIds": [ "EWF-04", "EWF-05", "PC-S03", "PC-S14", "SC-R01", "PC-S05", "PC-S06", "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", "SC-R18", "SC-R19" ], "worldIds": [ "W03" ], "evidenceLimit": "The score and rank are authored judgements over sealed concepts, not measurements of future adoption." }, "grounding": { "scores": { "futureDistance": 5, "needScale": 5, "globalBreadth": 4, "marketplaceClarity": 5, "deliveryReadiness2031": 3, "trustAndSafety": 4, "total": 89 }, "evidenceAnchors": [ { "statement": "Machine capabilities can advance on bounded work while labour-market and real-world transfer remain uneven.", "basis": "measured-trend", "evidenceIds": [ "EWF-04", "EWF-05" ], "worldIds": [ "W03" ] }, { "statement": "Requiring a reserved paid destination before training begins is a proposed transition institution.", "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W03" ] } ], "regionalVariation": [ { "geographyId": "united-states", "fit": "conditional", "explanation": "United States use depends on state labour rules, interstate mobility and whether compacts can make destinations credible.", "evidenceIds": [ "PC-S03", "PC-S14", "SC-R01" ] }, { "geographyId": "mainland-china", "fit": "conditional", "explanation": "Mainland China could coordinate destinations across large programmes, with provincial portability and worker choice as key tests.", "evidenceIds": [ "PC-S05", "PC-S06", "SC-R06" ] }, { "geographyId": "european-union", "fit": "conditional", "explanation": "European Union mobility and worker rights help, while SME access and member-state recognition vary.", "evidenceIds": [ "PC-S07", "PC-S15", "HBD-13", "SC-R04" ] }, { "geographyId": "india", "fit": "present", "explanation": "India's labour-using regional catch-up could provide destinations, but rural retention and state delivery determine access.", "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 roles to structured transitions if worker choice is protected.", "evidenceIds": [ "PC-S09", "PC-S10", "SC-R10", "SC-R12" ] }, { "geographyId": "gulf-technology-economies", "fit": "conditional", "explanation": "Gulf technology economies can finance transitions, but equal destination, mobility and remedy 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 city and state programmes can aggregate destinations, with fiscal and climate variation affecting guarantees.", "evidenceIds": [ "src-eclac-ilia-2025", "SC-R21", "SC-R22", "SC-R23" ] }, { "geographyId": "africa", "fit": "conditional", "explanation": "African regional systems could support portable bridges, constrained by employer demand, finance and maintenance capacity.", "evidenceIds": [ "src-au-continental-ai-strategy-2024", "SC-R18", "SC-R19" ] }, { "geographyId": "other-material-paths", "fit": "unknown", "explanation": "Other material paths need local evidence on paid destinations, transition funding and employer recognition.", "evidenceIds": [] } ], "scenarioFit": [ { "worldId": "W03", "fit": "strong", "reason": "The assigned world creates substantial renewal work that can receive workers from shrinking roles if the destination is reserved and supported." } ], "resolutionCriteria": [ "The worker receives advance human explanation and freely chooses the route.", "All productive practice is paid and supervised.", "The destination has a named employer, wage, start window and appealable conditions.", "A withdrawn or failed destination triggers continued income and a supported alternative." ] }, "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": "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" ] }, { "kind": "source", "id": "HBD-11", "title": "Health-system digital interventions", "publisher": "Government of India Press Information Bureau", "url": "https://www.pib.gov.in/PressNoteDetails.aspx?ModuleId=3&NoteId=154146&lang=1®=46", "publishedAt": "undated-at-access", "accessedAt": "2026-08-01", "limitations": "Government administrative counts do not by themselves establish unique active users, clinical quality, outcome gains or inclusion.", "evidenceClass": "measured-trend", "geographies": [ "India" ] } ], "rankingIndexPath": "rankings/category-006/index.json", "sourceReceipts": [] }