SODLA 2026 · State of Data & AI Literacy in Africa

Africa has invested in data and AI.
But is the workforce
ready?

SODLA 2026 is a benchmark study of data literacy and organisational readiness across Africa — revealing the gap between how valuable people believe data is, and how prepared the workforce is to use it confidently in real business decisions.

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1,551 professionals assessed ·11 African countries ·First benchmark study of its kind

What the data actually says

Confidence is high.
Readiness is not.

People across Africa recognise data's value and feel confident in their skills. The assessment tells a different story. This is not a motivation problem — it is a measurement problem.

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95%

Rated data as very or extremely valuable to their organisation.

Near-universal recognition — but recognition is not the same as readiness to act.

74%

Feel satisfied with their own data skills

High self-reported confidence. Assessed capability tells a different story. This gap is the risk.

50%

Assess at Foundation level

Half the assessed workforce cannot yet work with data independently in real decisions.

29%

Demonstrate Power or Elite capability.

Only 29% of Africa's assessed workforce demonstrate Power or Elite capability — the level associated with active, independent data use and contribution to data-driven decisions.

What percentage of your team do you think actively participates in data-driven decision-making?

0%50%100%

40%

SODLA 2026 found that 32% actively participate in data initiatives, while 68% are not actively involved. This includes people who are not involved at all and those who participate without yet contributing actively.

Source: SODLA 2026, n=1,521 valid responses

The capability model

Where does your team sit?
Four personas.

SODLA maps every assessed professional to one of four capability personas — each describing a fundamentally different relationship with data, and a fundamentally different development need.

49.7%

21.3%

25.7%

3.3%

Persona 01

Foundation

49.7%

Recognises data's value but cannot work with it independently. Cannot act confidently in decision-making contexts without support.

Core literacy, confidence, practical decision-use basics.

Persona 02

Consumer

21.3%

Reads and uses data outputs created by others. Still dependent on translation — hasn't yet crossed into independent use.

Strengthen interpretation, questioning and applied role use.

Persona 03

Power

25.7%

Works confidently with data, contributes actively and helps others participate more effectively. The organisational multiplier.

Deepen role-specific capability, use as internal multipliers.

Persona 04

Elite

3.3%

Translates analysis into influence, challenges assumptions and drives strategic data-driven action. Highly scarce.

Use selectively in high-influence, mentoring roles.

Team benchmark

Want to see where your organisation sits?

Benchmark your team against the SODLA 2026 persona distribution and identify the practical capability gaps to close first.

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Find out which persona describes you.

The individual assessment is free and takes 10 minutes. You'll get your persona result, a capability profile and a personalised development path — immediately. No sign-up needed.

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The disconnect

People believe they are more capable than the data shows.

This isn't dishonesty. It's human. The problem is that most organisations make training, hiring and AI-readiness decisions based on this perception — not on measurement.

63%

63% of Foundation respondents feel satisfied or very satisfied with their own data skills.

The confidence gap is widest at the base — exactly where development is most needed.

85%

Elite respondents identify as data champions

At Foundation level, only 1.1% identify as data champions. The gap is participation, not potential.

71%

Sit below the Power/Elite capability threshold.

Your AI strategy, BI investment and data governance all depend on people the data says are not yet ready.

Jordan Morrow · Global data literacy author and thought leader

"Technology alone does not create data-driven organisations. People do."

Jordan Morrow · Global data literacy author and thought leader

Participation gap

77×

more likely to identify as a data champion at Elite versus Foundation level

1.1% (Foundation) → 84.6% (Elite)

Where does your team sit?

Benchmark your team.
Know before you spend.

The organisational assessment maps your entire team to the SODLA persona model — giving you a capability baseline, a gap analysis against the African benchmark, and clear development priorities.

Know the real distribution across all four personas in your team
Compare against the SODLA 2026 African benchmark
Prioritise development spend by role, function and persona
Re-assess post-programme to prove measurable capability shift

Request a team benchmark

Book a time directly with the Nekst team.

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How high-performing organisations close the gap

Assess. Develop. Prove.

The organisations that shift capability fastest don't start with training. They start with measurement.

Assess objectively

Baseline your team against the SODLA persona model. Understand the real capability distribution — not the perceived one.

Develop with intent

Build targeted programmes by persona pathway. Capability changes behaviour — generic training does not.

Prove the shift

Re-assess post-programme. Show leadership a measurable capability change — not just training completions.

Data and AI readiness starts with people

Choose your next step.

Whether you want to read the research, take the personal assessment, benchmark your team, or have a conversation — start where you are today.

Full Report · Free download

Download the SODLA 2026 Report

Complete methodology, detailed findings, persona distributions and strategic implications. Decision-ready.

Executive Summary · Ungated

Read the Executive Summary online

Key findings and leader implications in 5 minutes. Shareable. No form required.

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Individual · Free · Instant result

Take the personal assessment

10 minutes. Find out which persona describes you and get a personalised development path.

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Africa has invested in data and AI. But is the workforce ready?

Confidence is high.Readiness is not.