Africa’s AI Ambition Needs Stronger Infrastructure, Says Adejumobi

By Tosin Clegg

Nigerian AI and data professional, Adeyinka Adejumobi, has called on African founders, investors and policymakers to move beyond data dashboards and invest in the deeper technological foundations which needed to drive globally competitive AI systems across Africa.

In a recent media statement from her base in United Kingdom, Adejumobi stressed that while Africa has the talent and energy to compete globally in AI, many organisations are building intelligence systems on digital foundations never designed for them.

The expert draws a clear distinction between digitisation and intelligence, noting that many platforms across African sectors still function primarily as reporting environments.

“Dashboards are not intelligence systems,” she stated. “An intelligence system must support prediction, adaptation, operational decision-making and reliability under changing conditions.”

Adejumobi explained further that a recurring misconception in technology conversations is that collecting large volumes of data automatically creates AI readiness.

According to her, fragmented workflows, incomplete records and inconsistent processes become significant obstacles once predictive systems are introduced.

“If the underlying data is unstable, the intelligence built on top of it will also be unstable,” she noted.

Adejumobi also highlights the challenge of scaling across markets, pointing out that a product working effectively in Lagos may behave differently in Accra, Nairobi or Kigali due to differences in user behaviour, infrastructure quality and regulatory conditions.

She added that what often appears to be an AI problem is frequently a systems maturity problem.

Her concerns are particularly directed at high-stakes sectors. In healthcare and financial services, she warns, users are far less forgiving when predictive systems produce unstable recommendations or flawed risk assessments than they would be with dashboard inaccuracies.

She stressed that founders must be honest about the difference between analytics features and genuine intelligence. Investors should ask harder questions before rewarding AI claims. Policymakers must recognise that national AI strategies require more than skills programmes and innovation showcases.

“They also need data standards, compute access, digital public infrastructure, governance capacity and sector-specific implementation discipline,” she stated.

She remains optimistic, acknowledging that African founders operate under conditions demanding extraordinary adaptability, but is clear that resilience alone does not replace infrastructure maturity.

“Africa absolutely has the capacity to become globally competitive in AI,” she concluded. “But sustainable leadership will require deeper investment in data maturity, operational architecture and long-term systems thinking.”

Adejumobi is a seasoned AI and data professional with expertise in intelligent systems, operational analytics and technology-driven decision systems, and writes extensively on AI infrastructure and the future of scalable intelligence across emerging markets.