Scenarios 2027 / Results / Nations

Africa · ZAF

South Africa

Baseline index 10.77Rank 38 of 197TransitionalAfricaAtlas profile

Read with care Second illustrative run, with exposure set nation by nation. The capability scores are candidate ratings and the test settings are GINC desk settings; neither has been adopted. Scores are from the GINC National Capability Index 2026, which describes them as candidate ratings. Exposure is set nation by nation from the CIA World Factbook 2025 and the scenario's regional exposure. Results show the method working on real scores; they are not findings about any nation. How the tests work.

Vulnerability and opportunity

Archetype: Climbers. Moderate vulnerability, and the most to gain from catch-up. One of 34 nations with a similar pattern of results.

Well placed over 10 years: lower vulnerability, higher opportunity than the median nation.

Vulnerability · 10 years9.2rank 156 of 197 · 3 years: 9.1
Worst case−6.8%Infrastructure collapse · tail −6.2%
Opportunity · 10 years+22.9rank 17 of 197 · 3 years: +22.8
Best case+36Energy abundance · gainer in 9 of 10
Shock absorbed43%by its own buffers, across downside scenarios
Policy dividend+0.45expected index points from best practice
Breadth6 of 14scenarios in which a domain falls a band
Weakest linkSemiconductors & Advanced Computingweakest point in 3 scenarios

Main drivers of vulnerability over 10 years: Legitimacy crisis, Energy supply shock, AI diffusion shock. Highest exposure indicators: youth unemployment rate; share of oil and gas use not met by domestic production; adult obesity rate; little renewable water per head; public debt relative to gdp; internet users as a share of population.

Downside scenarios: load test

Change in South Africa’s capability index under each scenario at Standard Severe and current plans, largest fall first.

ScenarioExposureChangeNo responseBest practiceRank shiftBands lostWeakest point
Infrastructure collapse S12High 0.82−0.73−1.19−0.52▼ 120Connectivity, Cyber & Trust Technologies 6.1 · Foundational
Energy supply shock S09High 0.89−0.66−1.16−0.51020Energy Technologies 7.3 · Foundational
Pandemic S14High 0.67−0.60−1.04−0.46▲ 116Population Health 8.2 · Foundational
AI diffusion shock S13High 0.66−0.57−0.91−0.40▲ 114Semiconductors & Advanced Computing 3.1 · Nascent
Global financial crisis S03High 0.69−0.53−1.03−0.45016Labour & Employment 8.9 · Foundational
Sovereign funding crisis S04High 0.65−0.51−0.94−0.41▼ 315Internal Security & Order 8.9 · Foundational
Legitimacy crisis S07High 0.86−0.49−0.89−0.39▼ 314Force Generation & Mobilisation 8.3 · Foundational
Chokepoint closure S05High 0.68−0.48−0.82−0.36▲ 116Maritime Power 6.5 · Foundational
Food and water shock S11Medium 0.57−0.41−0.75−0.33▼ 513Population Health 8.4 · Foundational
Single-supplier cut-off S02High 0.66−0.38−0.67−0.29▲ 110Semiconductors & Advanced Computing 3.2 · Nascent
Disaster in the core S10Medium 0.59−0.36−0.64−0.28▼ 112Health System Capability 10 · Transitional
Geoeconomic confrontation S01Medium 0.45−0.35−0.63−0.28▲ 214Semiconductors & Advanced Computing 3.6 · Nascent
Mass displacement S08Medium 0.45−0.22−0.40−0.17010Internal Security & Order 9.2 · Transitional
Hybrid campaign S06Low 0.23−0.16−0.26−0.11▲ 110Maritime Power 7.3 · Foundational

Where each scenario lands

Change in each of the nine capability domains, in points. Darker is a larger fall.

ScenarioCTSINSHCIIGIFSPITI
Infrastructure collapse−0.90−1.05−0.41−0.38−0.38−0.94−0.88−0.86−0.75
Energy supply shock−0.15−0.92−0.38−0.38−0.38−0.86−1.02−0.98−0.88
Pandemic−0.64−0.32−0.29−0.77−0.68−0.73−0.68−0.66−0.66
AI diffusion shock−0.74−0.31−0.31−0.83−0.62−0.85−0.72−0.40−0.35
Global financial crisis−0.26−0.26−0.26−0.53−0.53−0.66−0.88−0.76−0.60
Sovereign funding crisis−0.05−0.42−0.27−0.59−0.53−0.73−0.88−0.53−0.61
Legitimacy crisis−0.35·−0.78−0.35−0.82−1.15−0.94··
Chokepoint closure−0.06−0.78−0.72·−0.35−0.75−0.30−0.60−0.78
Food and water shock−0.05−0.46−0.23−0.56−0.54−0.58−0.27−0.46−0.53
Single-supplier cut-off−0.73−0.20−0.28−0.31·−0.64·−0.65−0.65
Disaster in the core−0.02−0.74−0.25−0.55−0.25−0.62−0.33−0.25−0.25
Geoeconomic confrontation−0.45−0.19−0.19·−0.44−0.42−0.44−0.43−0.64
Mass displacement·−0.23−0.19−0.46−0.38−0.52−0.22−0.03·
Hybrid campaign−0.12−0.26−0.30·−0.29−0.27·−0.11−0.11

Columns: CT Critical Technology · SI Strategic Infrastructure · NS National Security · HC Human Capital · II Information & Influence · GI Governance & Integrity · FS Financial Strength · PI Production & Innovation · TI Trade & Investment.

Upside scenarios: capture test

Net position in each upside scenario: what South Africa is ready to capture, less what it stands to lose.

ScenarioPositionNetCaptureLossReadinessRankBinding capability
Energy abundance S16 ↗Gainer+36.242.56.35126Energy Technologies 8.8 · Foundational
Emerging-market breakout S20 ↗Gainer+30.637.06.4552Foundational Education 10.3 · Transitional
Biomedical breakthroughs S17 ↗Gainer+27.743.315.6512Population Health 9.3 · Transitional
Yield revolution S22 ↗Gainer+25.527.72.1563Technology Adoption & Diffusion 10.5 · Transitional
100-day pandemic defence S24 ↗Gainer+24.230.86.75151Population Health 9.3 · Transitional
Digital state leapfrog S23 ↗Gainer+23.235.512.3482Connectivity, Cyber & Trust Technologies 7.6 · Foundational
Great-power détente S18 ↗Gainer+21.825.84.05928Export Capability & Sophistication 11.3 · Transitional
Middle East settlement S21 ↗Gainer+21.527.86.35545Internal Security & Order 10 · Transitional
Sovereign debt reset S19 ↗Gainer+17.619.51.9564Public Integrity & Anti-Corruption 10.5 · Transitional
Superintelligence takeoff S15 ↗Mixed−5.118.423.53654Semiconductors & Advanced Computing 4.3 · Nascent