Africa2036

AI, Work & Inclusion · standard chamber

Benin

Benin examined against the institutional questions its shared evidence supports.

Initial review 3 reviewed documents 4/12 decision areas

Some country-specific evidence reviewed, but narrow. Most decision areas are unexamined rather than empty.

Standard chamber. Ten countries have deep institutional chambers. This is not one of them, so this page answers the questions the shared indicator data and any reviewed documents support, and stops. What is absent here is unexamined, not measured and found empty.

Scenarios and horizons

What could materially change by 2031 and 2036?

MomentumAccelerationDisruption
202620312036202620312036202620312036
Output per person$1,706$1,969$2,271$1,734$2,164$2,702$1,679$1,787$1,901
Electricity access62.7%70.6%76.8%64.4%75.1%82.5%61.5%67%71.7%
Internet use38.5%48.3%56.6%40.6%54.3%64.7%36.9%43.7%49.8%
Working-age population8.5m9.8m11.2m8.5m9.8m11.2m8.5m9.8m11.2m

Scenarios are arithmetic on observed history under a published assumption. They are not predictions and carry no probability. 2026, 2031, 2036 are the only formal horizons — no value is projected for any year between them.

Youth labour-market entry

How many young people may enter working age, and what does entering the labour market look like?

Youth unemployment 2.9% (2025)
Unemployment 1.6% (2025)
Under 15 41.3% (2025) 6.1m people
Working age 55.6% (2025) 8.2m people
Working age (proj.) 55.9% (2026) 8.3m people
Secondary enrolment 43.6% (2022)

No reviewed document in this platform's research record bears on this question for this country. That is a gap in the evidence, not a finding about the country.

What kinds of work dominate

Where do people actually work, and how might that change?

Farm employment 40.2% (2025)
Services employment 41.4% (2025)
Manufacturing 10.2% (2025)
Services 50.1% (2025)
Female participation rate 75.2% (2025)

Female participation rate — Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate). Percentage of the FEMALE population aged 15 and over who are in the labour force, employed or unemployed.

No reviewed document in this platform's research record bears on this question for this country. That is a gap in the evidence, not a finding about the country.

Infrastructure constraints

What are the physical limits — connection, power, and where they reach?

Fixed broadband 0.3 / 100 (2024)
Internet use 34% (2024) 5m people
Mobile subscriptions 125.9 / 100 (2024)
Electricity access 59% (2024) 8.7m people
Rural electricity 45% (2024) 6.7m people

No reviewed document in this platform's research record bears on this question for this country. That is a gap in the evidence, not a finding about the country.

Education and practical AI skills

What is the education base, and what is being built on top of it?

Secondary enrolment 43.6% (2022)
Tertiary enrolment 10.2% (2022)
Adult literacy 51.4% (2022)
Education spend 3.2% (2023)
R&D spendNot measured for this country in the shared register — unexamined, not zero.

Informal enterprise and MSMEs

How may informal enterprises and small firms be affected, and what would let one grow?

Farm employment 40.2% (2025)
Services employment 41.4% (2025)
Private credit 19.8% (2025)
Account ownership (incl. mobile money) 51.8% (2024) 7.7m people

Account ownership (incl. mobile money) — Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+). Percentage of the population aged 15 and over. Counts an account at a bank or other financial institution, OR personal use of a mobile-money service in the past 12 months. Mobile money IS included.

No reviewed document in this platform's research record bears on this question for this country. That is a gap in the evidence, not a finding about the country.

Financial inclusion

Who can be paid, save or borrow — and on what definition?

Account ownership (incl. mobile money) 51.8% (2024) 7.7m people
Private credit 19.8% (2025)
Remittances 1.7% (2023)

Account ownership (incl. mobile money) — Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+). Percentage of the population aged 15 and over. Counts an account at a bank or other financial institution, OR personal use of a mobile-money service in the past 12 months. Mobile money IS included.

No reviewed document in this platform's research record bears on this question for this country. That is a gap in the evidence, not a finding about the country.

Digital public services

What can a citizen do with the state without queueing?

Internet use 34% (2024) 5m people
Account ownership (incl. mobile money) 51.8% (2024) 7.7m people
Govt effectiveness -0.19 (2024)
Regulatory quality -0.28 (2024)

Account ownership (incl. mobile money) — Account ownership at a financial institution or with a mobile-money-service provider (% of population ages 15+). Percentage of the population aged 15 and over. Counts an account at a bank or other financial institution, OR personal use of a mobile-money service in the past 12 months. Mobile money IS included.

No reviewed document in this platform's research record bears on this question for this country. That is a gap in the evidence, not a finding about the country.

Institutional implementation capability

Can the state actually deliver what it commits to — fiscally, administratively, and through a political cycle?

Govt effectiveness -0.19 (2024)
Regulatory quality -0.28 (2024)
Rule of law -0.41 (2024)
Govt revenueNot measured for this country in the shared register — unexamined, not zero.
Govt debtNot measured for this country in the shared register — unexamined, not zero.

Announced versus delivered

How much of what has been announced has actually arrived?

Counts of reviewed records by delivery state — deliberately counts, not a share. A percentage would compare countries whose evidence bases are different sizes, which would order research coverage while appearing to order delivery.
Intent2Proposed, announced or approved. Nothing built.
Underway0Funded, procured or under construction.
Delivered1Partially or fully in service.
Stalled or withdrawn0Delayed, suspended or cancelled.

Based on 3 dated records. A larger number means more evidence has been reviewed, not that more has happened.

Milestone timeline

What is dated, what state is it in, and what does it not establish?

Recorded before the 2026 baseline

Already in effect at the baseline. These are the conditions the scenarios start from.

  1. (date the source was published, not necessarily the date of the event)

    Policy or legislation · Approved

    Benin has published a national AI strategy.

    What this does not establish. It has cleared a legal, cabinet or board process. That is not the same as money being attached, and not the same as work starting.

    African Countries Are Racing to Create AI Strategies — But Are They Putting the Cart Before the Horse? Global Center on AI Governance, 2025 · Secondary

Between 2026 and 2031

Dated events and published targets falling between the 2026 baseline and the 2031 horizon. No value is projected for these years.

  1. (date the source was published, not necessarily the date of the event)

    Funding or infrastructure commitment · Approved

    Benin is one of five countries on the Abidjan–Lagos Corridor Highway.

    What this does not establish. It has cleared a legal, cabinet or board process. That is not the same as money being attached, and not the same as work starting.

    Abidjan-Lagos Corridor Highway Development Project PIDA / African Union Development Agency, 2026 · Official

  2. (date the source was published, not necessarily the date of the event)

    Election or institutional review period · Operational

    Parliamentary elections were held on 11 January 2026 and a presidential election on 12 April 2026.

    What this does not establish. Delivered and in service. This records the delivery, not its quality, its coverage, or who it reaches.

    Africa's 2026 Elections: Navigating Complexity to Deliver for Citizens Africa Center for Strategic Studies, 2026 · Secondary

Lived experience

What does the evidence imply for a specific person, and who does it miss?

  • Observed Plausible implication

    A young person entering work

    41.3% of the population was under 15 in 2025; gross secondary enrolment was 43.6% in 2022; recorded youth unemployment was 2.9% in 2025.

    Plausible implication, not measured: A cohort this size arriving against an enrolment rate below universal means the schooling a young person brings to the labour market varies widely, and a programme pitched above that level selects a minority of them.

    What would settle it. Completion rates by sex and location, and destination data six and twelve months after leaving school. Neither is held here.

    Who this misses. Young people already out of school, who are outside an enrolment measure by construction.

    Evidence used: youth, secondary, youthunemp.

  • Observed Plausible implication

    An informal trader or micro-enterprise owner

    51.8% of people aged 15 and over held an account at a financial institution or personally used mobile money in 2024; domestic credit to the private sector was 19.8% of GDP in 2025; 41.4% of employment was in services in 2025.

    Plausible implication, not measured: Being payable is not being financeable. An account is a payment rail, and nothing in this platform establishes that account records are used in any lending decision.

    What would settle it. Firm-level credit surveys recording refusals and their reasons, and credit-bureau coverage figures.

    Who this misses. Unregistered traders, who are outside most support instruments by design rather than by accident.

    Evidence used: account, credit, servemp.

  • Observed Plausible implication

    A farmer

    40.2% of employment was in agriculture in 2025, producing 22.9% of GDP in 2025; rural household electricity access was 45% in 2024.

    Plausible implication, not measured: Where the employment share far exceeds the output share, the productivity problem and the employment problem are the same problem. Rural power is the constraint on anything requiring storage, processing or irrigation.

    What would settle it. Yield and farm-income panels linked to adoption of a specific tool or service.

    Who this misses. Farmers without a connection at all, and anyone whose land tenure prevents investment regardless of technology.

    Evidence used: agriemp, agrigdp, electricityrural.

  • Observed Plausible implication

    A teacher or learner

    Gross secondary enrolment 43.6% (2022); adult literacy 51.4% (2022); household electricity access 59% (2024).

    Plausible implication, not measured: Evening study, device charging and any screen-based material all assume power at home. Where access is short of universal, a digital learning programme reaches the connected fraction of an already-enrolled fraction.

    What would settle it. School-level electrification and connectivity audits, and learning outcomes disaggregated by both.

    Who this misses. Non-literate adults, for whom a text-based service is unavailable regardless of coverage.

    Evidence used: secondary, literacy, electricity.

  • Observed Plausible implication

    A citizen using public services

    34% of people used the internet in 2024; 51.8% of people aged 15 and over held an account or used mobile money in 2024; the government effectiveness estimate was -0.19 in 2024.

    Plausible implication, not measured: Digitising a service moves it towards the people who can already reach it. Retaining an assisted or offline channel is what decides whether the rest keep access.

    What would settle it. Service-level uptake by channel, and the share of transactions still completed in person.

    Who this misses. People whose identity documents do not match registry records — unmeasured everywhere in this instrument.

    Evidence used: internet, account, goveff.

  • Observed Plausible implication

    A rural resident

    Rural household electricity access 45% against 59% nationally (2024); basic drinking water 17.7% (2024).

    Plausible implication, not measured: The 14-point gap between the national and rural figures is the distance between a national average and this person's actual position. An intervention designed against the average is designed for somebody else.

    What would settle it. Sub-national service data. This platform holds a national and a rural figure and nothing between them.

    Who this misses. Everyone in the unserved rural remainder, whose position no series here describes individually.

    Evidence used: electricityrural, electricity, water.

Each situation is built only where the indicators it names are held for this country. Where they are not, it says so rather than substituting general prose — a situation the evidence cannot support would read as a finding. The observed line is measured; the line marked as a plausible implication is an argument, and it names what would settle it.

Evidence quality and gaps

How much has been reviewed here, how good is it, and what is ageing?

Documents reviewed3
Primary or official sources1
Decision areas covered4 of 12
Indicator coverage1
Delivered records1
At intent2
Stalled or withdrawn0

Evidence depth differs between countries and this instrument renders the difference rather than smoothing it. A thin record is a statement about what has been reviewed. It is never a statement about the country, and it is never comparable to another country as a measure of performance.