What Meta’s $13 Billion Kenya Claim Means

A striking headline anchors Meta’s latest assessment of Kenya’s digital economy: it argues that the country’s digital economy could grow from $4.2 billion (approximately KSh 544 billion) today to $13 billion (approximately KSh 1.68 trillion) by 2035.

Around that headline figure, Meta builds a three-part argument. Stronger digital infrastructure, the reach of its consumer platforms, and accessible open-source artificial intelligence, it says, together form the foundation of Kenya’s next phase of economic growth.

The opportunity is credible. Much of the evidence is grounded in real developments. But the report also deserves scrutiny, both for what its numbers represent and for how those numbers were produced.

What the report says

The report rests on three central pillars.

First is connectivity. Meta argues that the landing of the 2Africa subsea cable in Mombasa will improve internet performance and extend digital opportunity beyond Kenya’s major cities. It projects that the cable could contribute $1.2 billion (approximately KSh 155 billion) in annual GDP by 2035 while bringing another 4.4 million Kenyans online.

Second is Meta’s platform ecosystem. The report estimates that Facebook, WhatsApp and Instagram supported approximately 2.7 million businesses in Kenya during 2025, generating $550 million (approximately KSh 71.2 billion) in direct business activity and a further $410 million (approximately KSh 53.1 billion) through productivity gains. Survey data included in the report suggests most online businesses believe the platforms have expanded their customer base.

Third is artificial intelligence. Meta projects that wider AI adoption could contribute $6.4 billion (approximately KSh829 billion) to Kenya’s economy by 2035. It highlights Nairobi-based Jacaranda Health’s PROMPTS platform, which uses SMS to provide maternal health information and identify high-risk pregnancies, as an example of AI-enabled local innovation. Supporting surveys also indicate strong optimism, with 89 percent of respondents saying AI developed in sub-Saharan Africa will contribute to economic growth and 80 percent of business leaders expressing willingness to adopt open-source AI if it were readily available.

Understanding what the report is

Before interpreting those figures, it is important to understand the nature of the report itself.

The analysis was commissioned by Meta and produced by the economic consultancy Public First. It forms the Kenya chapter of a broader Sub-Saharan Africa Economic Impact Report, released around Africa Day, which projects the region’s digital economy growing from approximately $130 billion (approximately KSh 16.8 trillion) today to $300 billion (approximately KSh 38.9 trillion) by 2035.

This type of study has become increasingly common across the technology industry. Public First has produced similar economic-impact assessments for companies including Google, using comparable modelling approaches to estimate their contribution to national economies.

That does not invalidate the findings.

However, neither should these reports be mistaken for independent academic research. They are commissioned analyses designed to quantify and communicate the economic value of a sponsor’s products and investments. Their conclusions should therefore be interpreted as informed, model-based estimates rather than neutral measurements.

Reading the numbers carefully

Several aspects of the report warrant careful interpretation.

Most importantly, the headline figures are scenarios rather than forecasts.

The report consistently states that Kenya’s digital economy “could” reach $13 billion by 2035. Likewise, the regional study frames its projections as outcomes achievable if the necessary foundations are put in place. These are conditional models based on assumptions about investment, adoption and policy, not predictions that will inevitably materialize.

The report also blends different levels of attribution.

Some estimates relate directly to Meta’s own platforms, such as the $550 million (approximately KSh71.2 billion) in business activity linked to Facebook, WhatsApp and Instagram. Others, including the projected $13 billion (approximately KSh1.68 trillion) digital economy and the $6.4 billion (approximately KSh829 billion) contribution from AI adoption, describe economy-wide outcomes that depend on numerous public and private actors.

Packaging those broader projections within a Meta-branded report naturally strengthens the association between national growth and the company’s technologies. In reality, the drivers of digital economic growth extend well beyond any single platform.

Definitions also matter.

Meta estimates Kenya’s digital economy today at $4.2 billion (approximately KSh544 billion). John Tanui, Kenya’s ICT Principal Secretary, has publicly estimated the sector at around $7 billion (approximately KSh907 billion), while setting a government ambition of $100 billion (approximately KSh13 trillion) by 2035. Other organizations, including the GSMA, have calculated substantially larger contributions from the mobile ecosystem alone.

These differences do not necessarily contradict one another. They reflect different definitions of what constitutes the digital economy. Nevertheless, they illustrate how sensitive headline projections are to the methodology used.

Finally, many supporting statistics derive from commissioned surveys measuring perceptions and business sentiment. Such data offers valuable insight into attitudes and adoption trends but should not be interpreted as independently verified economic outcomes.

Where the report is strongest

A balanced reading should also acknowledge where the report is firmly grounded.

The 2Africa subsea cable is unquestionably transformative infrastructure. Independent analysis supports the view that it significantly expands international bandwidth and improves long-term connectivity across East Africa.

Kenya’s position as a global leader in mobile money is equally well established. The report’s assumption that entrepreneurs can build digital businesses on that foundation is reasonable.

Meta’s platforms are also widely used by Kenyan small businesses for customer engagement, marketing and sales. The exact economic value may be modelled, but the underlying trend is difficult to dispute.

Similarly, Meta’s open-source AI initiatives, including the Llama family of models and the No Language Left Behind programme, genuinely reduce barriers to AI development and language inclusion, particularly in markets where commercial AI licensing remains expensive.

Jacaranda Health’s PROMPTS programme is another credible example. It has received independent recognition for improving maternal healthcare, although it operates independently of Meta and predates this report.

Where the analysis is less complete

The report is less convincing in its treatment of the barriers that separate potential from reality.

Independent evidence paints a more complex picture.

Despite near-universal 4G network coverage, only about one-third of Kenyans actively use mobile internet, according to GSMA research. The primary constraint is no longer network availability but affordability, particularly the cost of smartphones relative to household incomes.

Research by KIPPRA has similarly documented persistent disparities between rural and urban communities in device ownership, connectivity and digital access.

The same applies to artificial intelligence. Kenyan policymakers have repeatedly highlighted weaknesses in data quality, governance, digital skills and institutional readiness as prerequisites for meaningful AI deployment. These challenges receive comparatively limited attention in the report despite being among the strongest determinants of whether its projections become reality.

There is also a broader strategic question.

An expanding digital economy built largely on global platform ecosystems inevitably raises issues around digital sovereignty, data governance, market concentration and resilience. These considerations receive relatively little attention despite their growing importance in public policy debates.

The bottom line

Meta’s report is best understood as a credible articulation of a genuine opportunity, presented by a company with a clear commercial interest in demonstrating its contribution.

The enabling factors it identifies, stronger connectivity, widely adopted digital platforms and accessible open-source AI, are all important components of Kenya’s digital future.

Its headline figures, however, should be read as directional scenarios rather than precise forecasts. Whether Kenya’s digital economy reaches $13 billion (approximately KSh 1.68 trillion) by 2035 will depend less on modelling than on addressing affordability, digital inclusion, skills development, data governance and institutional capacity.

The report also reflects a broader pattern. Google, Microsoft, OpenAI, Anthropic and other global technology firms have each published analyses positioning their technologies within Kenya’s digital transformation journey.

For policymakers, the most valuable takeaway may not be Meta’s headline projection itself, but the convergence across these competing narratives. Despite representing different commercial interests, they largely point to the same conclusion: Kenya’s digital future will depend on affordable infrastructure, trusted platforms, accessible AI and, above all, closing the persistent gaps in access, skills and capability that continue to limit digital adoption.