Scenarios 2027 / Scenarios
Rated at Standard Severe. Likelihood type: idiosyncratic. Source of scores: ginc-desk-v0.4. Upside scenario: impact levels measure the scale of change, not loss.
The drought payment reaches four million households in a morning. Three years ago the same programme took eleven weeks and lost a fifth of its money on the way. Nothing about the weather changed; what changed is that every adult has an identity number, an account that receives instant payments, and a consent screen that lets the agriculture ministry see the land registry. The tax authority, which used to collect 11 per cent of GDP, collects 15: shops that take digital payments cannot easily hide them. A tailor with no collateral gets a loan in ten minutes on the strength of two years of receipts. The foreign card networks, which took 2 per cent of every sale, now take it only from tourists. Then come the harder stories. An outage at the identity authority stops pensions, pharmacies and SIM sales for nine hours. A widow whose fingerprints no longer read is refused her ration until a journalist takes up her case. The interior ministry asks for access to the payment data 'for security', and the data protection authority, which has eleven staff, is asked to object. The countries that get the leap without the damage wrote the law before the code.
The dateline is illustrative, not a forecast. The narrative is hypothetical; the historical anchors below are real events.
A state builds digital identity, instant payments and data exchange as public goods, and within five years most adults use them. Benefits are paid in minutes, tax collection rises, small firms get credit on their transaction history, and services that needed a queue need a phone. Governments that lagged a generation behind leap level with the best. The same rails make surveillance and exclusion easier: people without a phone or an identity are shut out, a single failure stops everything, and the banks and card networks that sat in the middle lose their margin.
A shock most would count as progress. It is not upside for everyone: each record names who gains and who loses. Impact levels measure the scale of change, in either direction, and loads mark the capabilities a nation needs in order to capture the gain or absorb the loss.
| Event | Date | What happened | Calibrates |
|---|---|---|---|
| Aadhaar | 2009 onward | India issued a biometric identity number to more than 1.3 billion residents | scale of identity enrolment |
| Unified Payments Interface | 2016 onward | An instant payment system that passed 10 billion transactions a month in 2023 | speed of payment adoption |
| Pix | November 2020 | Brazil's central bank launched instant payments that most adults were using within two years | adoption outside India |
| X-Road | 2001 | Estonia built a data exchange layer that lets agencies share records with consent and audit | data exchange as infrastructure |
| Novissi cash transfers | 2020 | Togo paid emergency transfers to informal workers by mobile phone within weeks, using digital targeting | crisis delivery |
| G20 New Delhi declaration | September 2023 | Leaders endorsed a framework for digital public infrastructure | international uptake |
| Aadhaar exclusion cases | 2017–2019 | Reported denials of rations where biometric authentication failed | counter-anchor on exclusion |
Shown at their preset values. Parameters are not adjustable in this release and nothing on this page is computed from them. Custom settings run (Phase B) but are labelled 'non-standard run' and excluded from comparisons.
| Parameter | Default | Range or options | Note |
|---|---|---|---|
| Adult coverage of digital identity | 90 per cent | 60–99 | — |
| Share of adults using instant payments | 70 per cent | 40–95 | — |
| Years to reach scale | 5 years | 3–10 | — |
| Governance | law before launch | options: retrofitted / absent | — |
| Architecture | open and interoperable | options: proprietary | — |
| Offline fallback | partial | options: none / full | — |
High: capability band shifts expected under current plans. Medium: band shifts under 'none' policy response only. Low: strain without band shift. Loads are judgement-based until the Atlas connects. Domains link to the Atlas.
| Domain | Load | Channel |
|---|---|---|
| Hard | ||
| Defence and security | Low | identity and border systems |
| Strategic infrastructure | High | identity, payment and data rails become critical infrastructure |
| Critical technology | Medium | open-source platforms and local engineering |
| Soft | ||
| Government effectiveness | High | service delivery, tax administration, data governance |
| Human capital | Medium | inclusion in finance and services; digital skills |
| Influence and cohesion | Medium | trust in the state; privacy and rights |
| Economic | ||
| Macro-financial | High | tax base, payments and credit access |
| Industry, trade and supply | Medium | small-firm formalisation and commerce |
| Energy and resources | Low | power and connectivity for the rails |
| Region | Exposure | Rationale |
|---|---|---|
| North America | Low | Fragmented private systems; incumbents exposed |
| Europe | Low | Already digitised; an exporter of the model |
| China | Low | Built its own, on platform firms |
| Indo-Pacific | Medium | South-East Asian payment links; Pacific islands leap |
| South Asia | High | India is the origin; neighbours adopt |
| Gulf and Middle East | Medium | State capacity and capital; Gulf digital government |
| Africa | High | The largest leap available; mobile money base |
| Latin America and Caribbean | High | Brazil's Pix as the regional model |
| Russia and Eurasia | Medium | State-led systems with weaker safeguards |
| Indicator | Source | Threshold |
|---|---|---|
| Adults with digital identity | World Bank ID4D | — |
| Instant payment volumes per head | central banks | — |
| Share of social transfers paid digitally | — | — |
| Tax-to-GDP ratio | IMF | — |
| Authentication failure and exclusion reports | — | — |
| Data protection law and regulator capacity | — | — |
| Uptime of national identity and payment systems | — | — |
From the GINC 250: trends rated Very high or Critical for this scenario. All S23 trend scores.
| Rating | Band or level | Why |
|---|---|---|
| Likelihood, two years | 4Likely | India's identity and payment systems and Brazil's Pix reached most adults within a few years, and dozens of states are adopting open versions. For a given developing nation, a Standard Severe adoption within two years is likely but not assured. |
| Likelihood, ten years | 5Highly likely | Diffusion is fast and the systems are cheap. |
| Systemic impact | 2Moderate | Level 2: modest in global output, with gains concentrated in the adopting states. |
| National impact | 4Major | Level 4 for a state that moves from paper to digital delivery in five years: tax, transfers and services all change. |
| Confidence | medium | Adoption is well evidenced; outcomes depend on governance. |
Source of scores: ginc-desk-v0.4. Confidence refers to the rating, not the scenario. Calibration sources are listed with the anchors above and on the methodology page.
Contested assumptions for the panel to resolve.
No signed commentary in this build.
0.4.0 · active0.4.0 · 3 October 2026 · Entered the Library at v0.4 as an upside scenario, with GINC desk scores.GINC (2027). Scenario S23 Digital public infrastructure leapfrog, Scenario Library v0.4. scenarios.ginc.org/library/digital-state-leapfrogContent and data are published under CC BY 4.0.