Zanzibar
Zanzibar exercises substantial self-government within the United Republic of Tanzania. The Revolutionary Government of Zanzibar has its own five-year development plan and a ministry responsible for digital transformation. This page applies the atlas framework at jurisdiction level. Zanzibar is excluded from the global rankings, maps and regional aggregates, and each measure identifies whether it comes from Zanzibar data, a Tanzania proxy or an atlas assessment. Zanzibar is a small, fast-growing, tourism-led island economy. Tourism, public services and the blue economy create immediate applications for AI, while imported power, limited local compute and climate-sensitive natural assets constrain the scale of potential gains.
Not ranked: this jurisdiction is outside the 157-country dataset, its rankings, maps and regional aggregates. Provenance: Z Zanzibar data · T Tanzania proxy · A Atlas assessment.
Starting point
GDP per capita to 2060, by scenario
Constant-rate scenario path; the 2060 endpoint levels are illustrative, not forecasts. Per-capita paths use a population path derived from the 2022 census and OCGS projections, damped after 2050 in line with every country page.
Under the default weights, Zanzibar grows at about 6.3% a year under Modest, 7.5% under Gradual and 7% under Fast. Gradual produces the higher result because a slower takeoff gives the island more time to strengthen power, compute, skills and institutions; Fast places more weight on complements that Zanzibar has not yet built. These are scenario results and change when the scores change.
Factor profile
Scores and where each comes from
How this economy meets AI
Today’s production, workforce and automation baseline — context for the scenarios, outside the AGI Growth Index.
Where output comes from (% of GDP)
Where people work (% of employment)
Informal employment
Current automation exposure
Several parts of the economy could transmit AI’s effects. The pace depends on adoption by firms, connectivity and movement of workers between sectors.
This country is not covered by the Global Automation Atlas’s public country file; its task-level exposure work for other countries is at automationatlas.org.
Sources: World Bank WDI; ILOSTAT; Global Automation Atlas (Garg, Crosta & Baier, 2026). The latest available year is shown for each measure; vintages differ, so shares may not sum to 100.
Targets in existing development plans
Zanzibar’s plans already include many of the complementary investments measured by the atlas. The targets below come from the Zanzibar Development Vision 2050 (Zanzibar Planning Commission, October 2020) and the Zanzibar Development Plan 2021–26 (ZADEP, “Blue Economy for Inclusive Growth and Sustainable Development”, March 2022). ZADEP runs to 2025/26, while the Vision sets milestones for 2030, 2040 and 2050. Where the documents use different values or price bases for the same indicator, both are shown.
- Income: upper-middle-income status and zero extreme poverty by 2050, with GDP per capita reaching $1,880 by 2030 and $4,400 by 2050 in constant prices from a $951 baseline in 2019 (Vision 2050, Table 1). ZADEP’s target of $1,500 by 2025/26 is in current prices — a different series from the Vision’s constant-price track, and from the current-price $1,395 (2024) shown above.
- Growth: 9–10% a year targeted for 2030, easing to 5.5–6.5% by 2050 (Vision 2050, Table 1); ZADEP targets 9% by 2025.
- Tourism: ZADEP targets 700,000 arrivals and $350 a day by 2025/26; the Vision continues the same up-market track to 800,000 arrivals at $420 a day by 2030 and 1.4 million at $500 by 2050 (Vision 2050, tourism KPIs). Spend per day stands at roughly $263, about where it was when the 2003 master plan set the up-market strategy.
- Blue economy: 60% of GDP and of employment by 2025 (ZADEP) — a stretch target, with fisheries at 4.9% of GDP in 2020 and targeted at 10% by 2025/26 (ZADEP).
- Broadband: from about 20% of households (2020/21) to 50% by 2025/26 (ZADEP); the Vision sets household-coverage targets of 30% by 2030, 60% by 2040 and 90% by 2050 (Vision 2050, ICT KPIs). Integration of public-service systems from 20% to 60% by 2025/26 (ZADEP).
- Digital skills: pupils receiving coding lessons from under 1% to 10% by 2025/26 (ZADEP), then 20% by 2030 and 50% by 2050 (Vision 2050, creative and digital economy KPIs); ZADEP budgets a technology-park and ICT-hub program at TZS 190bn (Annex 1).
- Energy: domestic generation from 0% of supply in 2020 to 27% by 2030 and 60% by 2050 (Vision 2050, energy KPIs), backed in ZADEP’s project annex by a new submarine cable (TZS 232bn) and 15 MW of solar (Annex 1).
Zanzibar and the Union
Most of the applied agenda on this page sits within Zanzibar’s own powers. The access factors — geopolitics, and much of compute — run through the Union, which is why they carry Tanzania proxies.
- Tourism policy, standards and the tourism levy
- Education, health, land and most public services
- Its own e-government stack and digital-transformation ministry
- Local revenue (Zanzibar Revenue Authority)
- Ports, local infrastructure and power distribution (ZECO)
- Currency and monetary policy (Bank of Tanzania)
- Foreign affairs and trade agreements
- Immigration and the eVisa
- Communications regulation and spectrum (TCRA)
- Power generation and the mainland interconnector
- Frontier technology access — export-control and alliance questions
Where Zanzibar starts
Zanzibar is the atlas's only jurisdiction-level profile. It exercises substantial self-government within the United Republic of Tanzania and is outside the 157-country rankings. The economy is tourism-led and has about 2.2 million residents. Zanzibar received about 917,000 visitors in 2025, with average spending near $263 per day. Annual growth averaged 6.2% over the previous ten years, and adult literacy is 90.6%. Physical build speed scores 4.0 out of 5; the new airport terminal roughly doubled passenger capacity. Catch-up headroom scores 4.5. Compute and energy access scores 1.0 because nearly all grid power comes through a submarine cable from the mainland and local data center capacity is limited. AI diffusion capacity scores 1.9. At GDP per person of $1,395, the most immediate opportunities relate to the visitors already arriving.
The three paths
These results are simulations rather than forecasts, and Zanzibar is shown alongside rather than within the 157-country ranking. Under Modest, growth is 6.3% a year, implying a doubling about every eleven years, compared with a Sub-Saharan median of 3.8%. Under Gradual, growth rises through the 2030s to 7.5% when AGI matures around 2040, implying a doubling about every nine to ten years. The longer transition gives Zanzibar time to improve power, skills and connectivity. Under Fast, growth reaches 7% from the early 2030s, below the Gradual result because Fast places greater weight on compute, capital and frontier access. Politics and regulation could change any path; the model holds the response of Zanzibaris and their government constant.
How you would know which world you are in
Three global indicators distinguish the scenarios. The first is whether METR's task horizon measure continues to double every four to five months through 2027–28; METR publishes it at metr.org. The second is continued compound growth in frontier lab revenue and capital expenditure, tracked by Epoch AI at epoch.ai. The third is growth above trend among the ten to twenty most-ready economies, particularly the United States and China, and when. US growth above 4% by 2027 and near 8% by 2028 is consistent with Fast; growth about three percentage points above trend by the mid-2030s is consistent with Gradual. Zanzibar-specific indicators include the share of bookings made through AI assistants and direct channels, visitor spending against the $350 target, mainland data center and interconnector announcements, and use of ZanExplore levy data in government decisions.
If growth goes explosive
At 7.5% annual growth, Zanzibar's economy doubles about every nine to ten years. That is rapid relative to its own history while remaining below a frontier economy growing near 15%. On an archipelago of about 2,500 square kilometers, repeated doubling would increase pressure on land, water, waste systems and the shoreline. Tourism is the main exposure. If AI agents plan and book more travel, destinations need data those systems can read and trust. Foreign platforms currently mediate much of Zanzibar's tourism and retain 15–30% of each booking, while hotels import much of their food. Greater growth could therefore produce substantial leakage abroad. The response is to develop destination data and direct booking systems and to connect farms, fishers and seaweed growers with hotel demand. Water and power utilities, permitting offices and the revenue authority would also need to manage an economy doubling every eight years.
What Zanzibar can do now
The first priority is AI diffusion capacity, currently 1.9. Digital skills for tourism and government workers, deployment-permissive rules and analytics added to ZanMalipo, e-Saini, eProz and ZanExplore are useful under all three scenarios; this is no-regret work a cautious government can begin today. The second is geopolitical positioning, currently 2.0 and largely managed through the Union. Continued technology access matters in every scenario, as does offering sites, subsea cables and tourism data in access negotiations. The third is specific to faster takeoff. Compute and energy access scores 1.0 and has little effect under Modest, but becomes the strongest constraint under Fast; domestic generation supplied none of Zanzibar's electricity in 2020. Mauritius provides a relevant example through programs that connect farms with hotel procurement and retain more visitor spending locally. The policy editor shows how changes in these scores affect Zanzibar's modeled path.
Use the policy editor to test how different factor scores change Zanzibar’s modeled path. The roadmap builder below can then incorporate those targets into a 1,000-day planning prompt.
Drafted with Claude, Anthropic’s AI model, from the atlas’s data and an editorial template set by the author.
Near-term applications of AI
Six applications drawn from the profile’s scores, institutions and development plans.
Tourism and local value capture
Zanzibar recorded about 917,000 arrivals in 2025 and spending of roughly $263 per visitor per day, compared with a target of $350. Near-term uses of AI include machine-readable destination data, direct booking and payment systems, and multilingual assistants for hotels, guides and operators.
Digital government
Zanzibar operates ZanMalipo for payments, e-Saini for signatures, eProz for procurement, ZanExplore for tourism levies and PBMS. These systems produce data that is not yet fully analyzed. Adding analytics and AI to the existing systems would avoid commissioning a separate platform.
Blue economy
Hotels import much of their food, while fisheries, farms and about 25,000 seaweed growers, most of them women, sell through fragmented markets. Near-term applications include matching hotel demand with local supply, quality grading and Kiswahili-language advice.
Stewardship and resilience
Beaches, reefs and Stone Town support the tourism economy but are not comprehensively monitored. Satellite monitoring of coasts and reefs, tracking of water and waste at tourism sites, and a carrying capacity assessment should precede an expansion toward two million visitors.
Skills and language
AI tutoring in Italian, German, French, Arabic and English could support tourism services and preparation for work abroad. Civil-service and small-business capability should be developed before bespoke systems are commissioned. Zanzibar could also invest in Kiswahili evaluation and public-interest datasets with mainland and regional partners.
Procurement and supplier choice
Technology contracts should preserve portable data, exit rights and open standards regardless of the supplier’s country. Power, connectivity and access to frontier technology require coordination with the Union.
Create a 1000-day AGI and growth roadmap prompt
This prompt can be used with Claude, ChatGPT or an open-weight model hosted on your institution’s systems. It includes the atlas material for Zanzibar: the country brief, economic structure, region, archetype and global scenarios. It instructs the model to ask for local information, use existing strategies and the political calendar, and preserve the atlas’s interpretation rules. The prompt is assembled in your browser; the information entered here is not sent elsewhere.
1 · Read the brief → 2 · Set targets in the policy editor → 3 · Generate and copy the prompt → 4 · Run it with an approved model, with high reasoning effort and web access where permitted
Instructions are generated in the selected language; the data annex remains in English. Translations are machine-drafted, and corrections from native speakers are welcome through the contact links on the start page.
Zanzibar figures: Office of the Chief Government Statistician (OCGS), Zanzibar national accounts release for 2024 — GDP by economic activity at current and constant prices (publication no. 834 on ocgs.go.tz) and OCGS current statistical indicators; the 2022 Population and Housing Census analytical report, Zanzibar Demographic and Socioeconomic Profile (Volume 4C, NBS/OCGS); the OCGS population-projection series (publication-report no. 137 on ocgs.go.tz); World Bank, Zanzibar — A Pathway to Tourism for All (2019) and Zanzibar Poverty Assessment (2022); Zanzibar Development Plan 2021–26 (ZADEP); Zanzibar Development Vision 2050. OCGS pages are cited by publication number rather than linked because ocgs.go.tz does not resolve reliably from abroad. The total-GDP figure is derived from OCGS data (per-capita × population). This profile sits outside the ranked dataset and follows the same framework and formulas as every country page. 2022 census profile (PDF)