{ "schemaVersion": 1, "namespace": "appstore2031/storefront/v2", "editionId": "2031-2026-08-02", "candidateId": "category-006-candidate-06", "canonicalCandidateSha256": "401c57fa18a2d7c58755c429ddbdd42decf7e82b092da316f764430d31debf8d", "fictionalDisclosure": true, "fiction": { "name": "RecoveryLoom", "developerName": "Recovery Range Network", "iconAsset": "/storefront/v2/icons/category-006-candidate-06.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": "RecoveryLoom runs paid, supervised rehearsals for the rare failures that normal automation cannot safely solve. An operator chooses a bounded scenario and protects live customers with spare capacity or an isolated system. A real team inspects the fault, explains its choices and restores service while a mentor adds one controlled surprise. Everyone can stop the exercise. The finish is practical: fixed procedures, replenished spares, paid follow-up practice and honest, limited evidence of what the team can—and cannot—recover.", "rating": 4.6, "ratingLabel": "imagined 2031 rating", "reviews": [ { "reviewerAlias": "WaterOpsLina", "title": "We learned where teamwork actually broke", "body": "The simulated control failure was manageable; the surprise shortage of a simple seal was not. We changed our stores and night-call process the next morning.", "stars": 5, "stance": "benefit", "fictionalDisclosure": true }, { "reviewerAlias": "RangeMedic", "title": "The exercise was more stressful than advertised", "body": "The safety controls worked, but the scenario brought back a difficult real incident for two staff members. Recovery rehearsals need stronger trauma support and opt-out routes.", "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": 6, "rangeAcrossWeights": [ 1, 8 ], "dominantWorldIds": [ "W01" ], "whyAboveNext": "It ranks above StillYours because a team rehearsal repairs concrete gaps in procedures, tools and spares, while an individual skill challenge carries greater risk of unfairly testing disability support or confusing unaided performance with genuine competence.", "whyThisPosition": "It is highly future-native, globally relevant and has a clear completed service. It ranks sixth because realistic rehearsal ranges are expensive, can expose sensitive weaknesses and may not predict behaviour during a true crisis, giving it lower delivery confidence than the concepts above.", "couldMoveUpIf": "It could rise if independent studies show that teams trained on unfamiliar physical variations recover real incidents faster and more safely.", "couldMoveDownIf": "It would fall if rehearsals disrupt essential services, leak useful attack information, exhaust scarce maintenance teams or fail to transfer under real pressure.", "strongestCounterCase": "Rehearsal performance may be theatre and consume the very maintenance capacity it aims to protect. Simpler, repairable systems with generous staffing and spare parts could provide better resilience.", "publishedChartAppearances": [ { "chart": "main", "rank": 6, "worldId": null, "geographicLensId": null, "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W01", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W02", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W03", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W04", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W05", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W06", "geographicLensId": "united-states", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W01", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W02", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W03", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W04", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W05", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W06", "geographicLensId": "mainland-china", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W01", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W02", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W03", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W04", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W05", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W06", "geographicLensId": "european-union", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W01", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W02", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W03", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W04", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W05", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W06", "geographicLensId": "india", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W01", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W02", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W03", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W04", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 5, "worldId": "W05", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 4, "worldId": "W06", "geographicLensId": "japan-and-republic-of-korea", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W01", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W02", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W03", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W04", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W05", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W06", "geographicLensId": "gulf-technology-economies", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W01", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W02", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W03", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W04", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W05", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W06", "geographicLensId": "latin-america", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W01", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W02", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W03", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W04", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W05", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W06", "geographicLensId": "africa", "weightSetId": null }, { "chart": "conditional", "rank": 1, "worldId": "W01", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 7, "worldId": "W02", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W03", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 8, "worldId": "W04", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W05", "geographicLensId": "other-material-paths", "weightSetId": null }, { "chart": "conditional", "rank": 6, "worldId": "W06", "geographicLensId": "other-material-paths", "weightSetId": null } ] }, "salesPromise": "Practise the failure nobody expects—before your team has to recover a real hospital, grid or delivery system.", "whatItDoes": { "headline": "A live recovery rehearsal network", "summary": "It gives frontline teams a safe physical place to rehearse unusual service failures, tests coordination and judgement under a planned surprise, and turns any gap into repaired procedures, spares, staffing and paid practice.", "steps": [ "The operator selects a bounded failure scenario and protects customer continuity, pay, rest, tools and spare capacity.", "Workers inspect the situation, explain options and perform a supervised recovery on a safe twin, spare system or isolated live segment.", "A mentor introduces one planned complication and records teamwork, judgement and stop decisions.", "The team corrects procedures, replenishes spares and receives limited proof plus a scheduled next rehearsal." ], "outcome": "A real team demonstrates safe recovery under changing conditions and the operator repairs gaps in skill, procedure, tools or staffing." }, "whyOnTheList": { "headline": "Resilience lives in teams that have practised recovery", "summary": "As normal operation becomes smoother and more automated, people may get fewer chances to practise what happens when several things fail at once. Climate stress and interconnected infrastructure make those rare moments more consequential. RecoveryLoom forecasts regional recovery ranges where teams can build calm, embodied capability before a community depends on it.", "why2031Not2026": "Emergency exercises exist now. The structural leap is a shared, recurring marketplace with physical twins, isolated service segments, spare capacity and portable team evidence across operators—funded as maintained regional infrastructure rather than occasional compliance training.", "worldShifts": [ { "shift": "By 2031, maintained services may run smoothly for long periods, concentrating human work in rare, high-consequence failures.", "causalChain": [ "Normal operation becomes more automated and less instructive.", "Procedural knowledge and team coordination decay between incidents.", "A rare compound failure arrives outside the system's dependable range.", "Paid rehearsals reveal gaps and refresh coordinated human recovery." ], "basis": "measured-trend", "evidenceIds": [ "EWF-04", "EWF-05" ], "worldIds": [ "W01" ], "evidenceLimit": "The sources support present conditions and directional pressures. This 2031 world, product, name and rank are reasoned forecast artefacts." }, { "shift": "By 2031, maintained services may run smoothly for long periods, concentrating human work in rare, high-consequence failures.", "causalChain": [ "Normal operation becomes more automated and less instructive.", "Procedural knowledge and team coordination decay between incidents.", "A rare compound failure arrives outside the system's dependable range.", "Paid rehearsals reveal gaps and refresh coordinated human recovery." ], "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W01" ], "evidenceLimit": "The sources support present conditions and directional pressures. This 2031 world, product, name and rank are reasoned forecast artefacts." } ], "whyRepeatedUse": "Assets, hazards, staff and automation boundaries change, so each service requires continuing rehearsals rather than permanent certification." }, "futureDistance": { "cutoffBaseline": "In 2026, emergency exercises and simulators exist, but they are not commonly traded as paid, portable, recurring human capability tied to physical maintenance.", "structuralDifference2031": "Recovery rehearsal becomes shared regional infrastructure that maintains teams, spares and safe practice capacity across operators.", "essential2031Conditions": [ "Normal operation is automated enough that human recovery repetitions materially decline.", "Compound physical failures remain outside dependable automation.", "Operators share safe ranges and recognise team evidence." ], "notJustBetterAI": "The causal job is embodied team practice under realistic physical constraints with accountable stop and recovery authority.", "failureCondition": "If ordinary operations provide frequent recovery practice or safe realistic rehearsals cannot transfer to live incidents, the service fails." }, "howItCouldBeBuilt": { "overview": "Link asset risk registers to safe rehearsal environments, worker rosters, mentor review, spare inventories and appealable team evidence.", "components": [ { "name": "Failure scenario library", "plainLanguageRole": "Turns recent changes and near misses into bounded, safe rehearsal cases." }, { "name": "Recovery range", "plainLanguageRole": "Provides physical twins, isolated equipment or spare service capacity for real practice." }, { "name": "Team readiness record", "plainLanguageRole": "Records only the capability demonstrated, gaps found and required next rehearsal." } ], "dependencies": [ { "kind": "physical", "name": "Safe rehearsal and continuity capacity", "plainLanguageRole": "Allows workers to experience realistic failure without exposing customers or themselves to unacceptable harm.", "causalRequirement": "Participating regions share rehearsal ranges, mobile rigs and continuity resources across operators.", "necessity": "essential", "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W01" ], "ifMissing": "Practice becomes abstract or unsafe and cannot establish recovery capability." } ], "hardestPart": "Providing realism and public confidence without creating new operational risk or publishing a map of vulnerabilities.", "whatCouldBeSimpler": "A scheduled employer exercise on an isolated local asset." }, "harmsAndFailure": { "whoBenefits": [ "Current human recovery skill", "Better team coordination", "Earlier discovery of missing tools, spares and procedures" ], "warnings": [ "Workers exposed to stress or injury", "Customers affected by rehearsal disruption", "Smaller operators unable to fund ranges" ], "waysItCouldFail": [ "A rehearsal causes the failure it models", "Sensitive vulnerability information leaks", "Workers are blamed for systemic gaps", "Repeated exercises create fatigue" ], "abuseRisks": [ "Management uses results for layoffs", "Attackers obtain scenario details", "Operators stage easy drills to pass audits" ], "safeguards": [ "Independent scenario approval and isolation", "Collective records with limited access", "Worker stop power, rest and trauma support", "Random human-reviewed variations and public gap summaries" ], "whenItMustStop": "Any participant can stop the exercise; live continuity takes priority and no restart occurs without the safety lead." }, "rankExplanation": { "whyThisRank": "It is highly future-native, globally relevant and has a clear completed service. It ranks sixth because realistic rehearsal ranges are expensive, can expose sensitive weaknesses and may not predict behaviour during a true crisis, giving it lower delivery confidence than the concepts above.", "sourceWhyAboveNext": "It ranks above StillYours because a team rehearsal repairs concrete gaps in procedures, tools and spares, while an individual skill challenge carries greater risk of unfairly testing disability support or confusing unaided performance with genuine competence.", "plainEnglishWhyAboveNext": "It ranks above StillYours because a team rehearsal repairs concrete gaps in procedures, tools and spares, while an individual skill challenge carries greater risk of unfairly testing disability support or confusing unaided performance with genuine competence.", "couldMoveUpIf": "It could rise if independent studies show that teams trained on unfamiliar physical variations recover real incidents faster and more safely.", "couldMoveDownIf": "It would fall if rehearsals disrupt essential services, leak useful attack information, exhaust scarce maintenance teams or fail to transfer under real pressure.", "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": [ "W01" ], "evidenceLimit": "The score and rank are authored judgements over sealed concepts, not measurements of future adoption." }, "grounding": { "scores": { "futureDistance": 5, "needScale": 4, "globalBreadth": 5, "marketplaceClarity": 5, "deliveryReadiness2031": 3, "trustAndSafety": 4, "total": 88 }, "evidenceAnchors": [ { "statement": "Longer bounded task performance does not remove uncertainty about transfer to unfamiliar and compound situations.", "basis": "measured-trend", "evidenceIds": [ "EWF-04", "EWF-05" ], "worldIds": [ "W01" ] }, { "statement": "A marketplace for paid cross-operator recovery rehearsals is a proposed resilience mechanism.", "basis": "design-inference", "evidenceIds": [], "worldIds": [ "W01" ] } ], "regionalVariation": [ { "geographyId": "united-states", "fit": "conditional", "explanation": "United States compacts can share ranges, but fragmented operators and interstate command rules complicate common readiness.", "evidenceIds": [ "PC-S03", "PC-S14", "SC-R01" ] }, { "geographyId": "mainland-china", "fit": "present", "explanation": "Mainland China's large physical delivery systems could support realistic regional ranges with provincial differences.", "evidenceIds": [ "PC-S05", "PC-S06", "PC-S11", "SC-R06" ] }, { "geographyId": "european-union", "fit": "conditional", "explanation": "European Union fit depends on cross-border mutual aid, SME access and member-state liability and security rules.", "evidenceIds": [ "PC-S07", "PC-S15", "HBD-13", "SC-R04" ] }, { "geographyId": "india", "fit": "present", "explanation": "India's distributed infrastructure creates strong recovery need, with rural range access and state delivery as constraints.", "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 facility redesign and supervised fleets to advanced recovery rehearsal.", "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 ranges, but transparent operating evidence and broad worker rights 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 cities and states can pool drills for grids and cooling, though fiscal and climate variation affects continuity.", "evidenceIds": [ "src-eclac-ilia-2025", "SC-R21", "SC-R22", "SC-R23" ] }, { "geographyId": "africa", "fit": "conditional", "explanation": "African regional assurance and locally maintained systems support shared ranges, constrained by maintenance funding.", "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 local evidence on compound hazards, spare capacity and safe range design.", "evidenceIds": [] } ], "scenarioFit": [ { "worldId": "W01", "fit": "strong", "reason": "The assigned world builds and maintains many physical systems whose rare failures require rehearsed human recovery." } ], "resolutionCriteria": [ "A whole team safely restores a bounded service under an unfamiliar variation.", "Workers explain choices, stop when needed and retain pay and rest.", "Gaps in tools, spares, procedures and staffing receive funded owners and dates.", "Customer continuity and worker recovery are independently checked." ] }, "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": [] }