Fictional 2031 listing · Main chart #4
StopPower
Give frontline reviewers the time, evidence and protected power to stop unsafe machine-led work before it harms someone.
Imagined provider: Worker Shield Cooperative
- Forecast target
- 31 Jul 2031
- Evidence cut-off
- 2 Aug 2026
- Edition
- 2031-2026-08-02
- Status
- Working forecast
This is a fictional 2031 forecast. The app, company and exact rank do not exist. The links show what is changing today; they do not prove this future app will exist.
What is this forecast app?
A protected stop-power service for frontline reviewers
It verifies that a frontline reviewer has enough evidence, skill, time and authority, then provides a protected way to pause or return unsafe machine-led work and record what happened.
- Check the assigned task against the worker's qualification, workload, evidence access, and actual authority.
- Provide an independent duty adviser and a protected channel to pause or return unsafe work.
- Record reasons, overrides, unresolved supplier conflicts, and the organisation that owns the duty.
- Track correction, worker impact, and affected-person remedy until external responsibility is clear.
The result: The worker can make a meaningful bounded decision or safely return it to the responsible organisation, while the affected person receives review and remedy.
Why it is on the list
Human accountability fails when power and blame separate
A 2031 workplace could label thousands of machine actions as human approved even when the worker has seconds, incomplete evidence and no safe right to refuse. StopPower is on the list because responsible human control requires working conditions and enforceable authority, not merely a person's name beside a decision.
Why 2031—not 2026?
Whistleblowing routes, unions and human-review policies exist in 2026, but they do not usually operate as a live control layer inside routine machine workflows. The distinct 2031 product depends on standard protected pause notices and automatic return of unsupported responsibility.
Why people would return: The check attaches to each new high-impact workflow and remains available whenever workload, evidence, or authority changes.
What would have to change in the world?
By 2031, machine-assisted actions may be routine enough that organisations assign thousands of nominal human approvals to junior staff.
- Organisations retain a human approval step to satisfy responsibility requirements.
- High volume and machine framing turn approval into rubber-stamping while legal blame remains personal.
- A protected service tests competence, capacity, evidence, and stop power before the worker accepts the task.
- Recorded returns and overrides force the controlling organisation to carry unresolved responsibility and repair recurring defects.
Worlds tested: W06 · Basis: measured-trend. The sources support present conditions and directional pressures. This 2031 world, product, name and rank are reasoned forecast artefacts.
What makes it more than better AI?
The service addresses power, workload, evidence access, labour protection, and responsibility rather than model capability.
Conditions that must exist:
- Nominal human approval is routine across high-impact machine-assisted workflows.
- Law, contracts, or collective agreements recognise protected workflow pause and return notices.
When this forecast fails: If every responsible worker already has enforceable authority, sufficient time, complete evidence, and safe escalation, the separate service is redundant.
How it could be built
The service, technology and institutions it would require
Build a confidential duty service with workflow declarations, evidence access tests, credential and workload checks, protected pause notices, and portable incident records.
Stop-power check
Tests whether the named human has the knowledge, evidence, time, and authority required for the assigned action.
Essential dependencies
legal · essential
Protected refusal and return rights
Lets a worker pause unsafe machine-assisted work without losing employment, pay, or professional standing.
What must happen: Sector rules and collective agreements can define protected pause notices and return responsibility to the controlling organisation.
If it is missing: The service can advise but must not claim workers have effective control.
The hardest part: Making refusal safe in practice when the employer controls work, evidence, performance measures, and career consequences.
A simpler alternative: A confidential union or professional helpline with manual written notices.
Risks and limits
What could go wrong?
Warnings
- Junior, contracted, migrant, precarious, disabled, and minority workers with limited bargaining power.
- People affected by delayed action during a dispute about authority.
Ways it could fail
- Pause rights could delay urgent beneficial action.
- Sensitive worker reports could expose careers or invite retaliation.
How it could be abused
- Employers could pressure the service to certify inadequate workflows.
- Workers or managers could use pause notices tactically in unrelated disputes.
Safeguards
- Use urgency-specific safe actions, independent governance, anti-retaliation monitoring, and rapid senior review.
- Separate workflow safety evidence from unrelated employment records.
- Audit withdrawn, rejected, and overridden notices along with affected-person outcomes.
When it must stop: Stop certifying any workflow when evidence access, adviser independence, or worker protection fails.
Why this position
Why StopPower is ranked #4
It ranks fourth because nominal human approval could become a massive cross-sector weakness and because the service does something technically simple but institutionally powerful. It is below the top three because its benefit depends heavily on labour rights, collective agreements and enforcement inside each jurisdiction.
Why it outranks the next forecast: StopPower can prevent harm at the moment a machine-led action reaches a human reviewer. Doorway Rover at number 5 restores access after automated systems have already excluded someone.
It becomes more plausible if…
It could rise if audits show widespread rubber-stamping, reviewer overload or punishment of workers who challenge consequential machine outputs.
It falls if…
It would fall if universal labour and professional rules already guarantee evidence, time, stop authority and safe escalation without a separate service.
Strongest counter-case: A paid control layer might certify unsafe employers and fragment worker power; strong universal labour law, unions, professional staffing and regulator enforcement may be the better answer.
Rank range across tested weights: 2–6. The exact rank is an authored judgement, not a measured probability.
Evidence behind the forecast
Current sources and their limits
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.
measured-trend · AC-06
METR Task-Completion Time Horizons
unknown · Published 8 May 2026 · Accessed 1 Aug 2026
Important limit: The metric is human task-equivalent difficulty, not elapsed autonomous runtime; suite coverage is limited
Open this record in the complete source register →measured-trend · AC-09
T2J-Bench
unknown · Published 27 May 2026 · Accessed 1 Aug 2026
Important limit: Preprint, one task family
Open this record in the complete source register →policy-intent · AC-25
America's AI Action Plan
unknown · Published 23 Jul 2025 · Accessed 1 Aug 2026
Important limit: Political plan, not evidence of implementation or outcomes
Open this record in the complete source register →measured-trend · SC-R02
Families and living arrangements: 2022 data
United States Census Bureau · Published 30 May 2024 · Accessed 2 Aug 2026
Important limit: Household composition is not a measure of loneliness, relationship quality or voluntary solitude.
Open this record in the complete source register →policy-intent · AC-27
State Council “AI Plus” opinion
unknown · Published 26 Aug 2025 · Accessed 1 Aug 2026
Important limit: The percentage is a government target whose definition and measurement are not yet independently established
Open this record in the complete source register →measured-trend · SC-R05
Communique on Major Data of the 1% National Population Sample Survey in 2025
National Bureau of Statistics of China · Published 22 May 2026 · Accessed 2 Aug 2026
Important limit: Demographic, household and migration indicators do not directly measure loneliness, belonging or relationship quality.
Open this record in the complete source register →policy-intent · AC-30
Navigating the AI Act
unknown · Published 27 Jul 2026 · Accessed 1 Aug 2026
Important limit: Implementation and enforcement outcomes remain unobserved at cutoff
Open this record in the complete source register →policy-intent · src-eu-gpai-act-qa
General-Purpose AI Models in the AI Act - Questions & Answers
European Commission · Published Date not stated by source · Accessed 2 Aug 2026
Important limit: The official page did not expose a clear publication date; it was accessed on 2026-08-02. Legal systemic-risk thresholds and duties do not predict capability or enforcement capacity.
Open this record in the complete source register →measured-trend · AC-33
Digital India and IndiaAI shared compute
unknown · Published 27 Jun 2026 · Accessed 1 Aug 2026
Important limit: Government-reported counts do not equal frontier-equivalent or fully utilised compute
Open this record in the complete source register →measured-trend · SC-R09
National Mental Health Survey of India 2015-16: Mental Health Systems
National Institute of Mental Health and Neurosciences, supported by the Government of India Ministry of Health and Family Welfare · Published Date not stated by source · Accessed 2 Aug 2026
Important limit: The baseline is old and may not reflect current capacity; state variation is substantial.
Open this record in the complete source register →measured-trend · RSM-02
Global Robot Density in Factories Doubled in Seven Years
IFR · Published Date not stated by source · Accessed 1 Aug 2026
Important limit: Density is a stock-to-employment ratio, not a measure of autonomous task coverage or productivity
Open this record in the complete source register →policy-intent · SC-R12
First Basic Plan for Prevention of Lonely Deaths, 2023-2027
Republic of Korea Ministry of Health and Welfare · Published 18 May 2023 · Accessed 2 Aug 2026
Important limit: Policy intent and monitoring design do not demonstrate service reach, causal impact or completed outcomes.
Open this record in the complete source register →measured-trend · AC-39
Stargate UAE in planned 5 GW campus
unknown · Published 27 Apr 2026 · Accessed 1 Aug 2026
Important limit: Promotional sources; announced partners and capacity are not assured delivery
Open this record in the complete source register →measured-trend · SC-R15
Saudi Family Statistics 2024
General Authority for Statistics, Saudi Arabia · Published Date not stated by source · Accessed 2 Aug 2026
Important limit: Household size and type do not reveal loneliness, autonomy, relationship quality or within-household exclusion.
Open this record in the complete source register →Imagined 2031 reactions—entirely fictional
★★★★★
The pause actually held
I flagged missing evidence on an automated safety decision. StopPower froze the workflow and brought in a senior reviewer without exposing me to my manager.
Fictional reviewer: NightShiftNia★★★☆☆
Do not confuse an app with rights
The record is useful, but it only works where contracts protect the pause. Management ignored two notices until the union intervened.
Fictional reviewer: UnionRepWestInspect the exact record
The readable page above is projected from the validated edition record. The JSON remains available for independent checking.
Open machine-readable listing data
AppStore2031