By Juliet Umeh

Nigerian-born Data and AI specialist Victor Omoboye delivered a keynote address at IT Masters Con Monterrey 2026 in Monterrey, Mexico, where he called on African organisations to move beyond experimental AI projects and prioritise governance frameworks capable of sustaining long-term impact.

Speaking to an audience of senior technology executives and business leaders, Omoboye addressed a growing concern within the global tech ecosystem: the disconnect between heavy investment in artificial intelligence and the limited number of organisations achieving real, scalable results. According to insights he shared, while approximately 88 percent of organisations worldwide are already utilising AI in some capacity, only about 33 percent have successfully transitioned beyond pilot stages into full-scale implementation.

He described this gap as a structural challenge rather than a technological one, noting that many AI initiatives fail due to weak decision-making frameworks, unclear accountability, and insufficient organisational readiness. “The failure is almost never in the code,” he said. “It is in the decision architecture around it.”

Referencing Africa’s rapidly evolving tech landscape, Omoboye noted that the continent is not immune to this global trend. Across major innovation hubs such as Lagos, Nairobi, Accra, and Johannesburg, companies are increasingly deploying AI-driven solutions. However, many of these initiatives struggle to scale effectively due to operational and governance limitations.

He emphasised the need for organisations to establish clear decision architecture, ensuring defined boundaries between autonomous AI functions and human oversight. He also highlighted workforce readiness as a critical factor, stressing that the effectiveness of AI systems depends largely on the people who design, manage, and interact with them. In addition, he underscored the importance of embedding governance into AI systems from the outset, making them auditable, explainable, and compliant.

Omoboye further pointed to the implications of global regulation, particularly the European Union’s AI Act, which introduces stringent compliance requirements and significant financial penalties for violations. He noted that African organisations engaging with European markets must align with these standards or risk exposure.

Despite the challenges, his message remained largely optimistic. He described Africa as uniquely positioned to thrive in the AI era, citing its young population, expanding developer ecosystem, and increasing global interest in sectors such as fintech and agritech. However, he stressed that sustained success will depend on the continent’s ability to match innovation with responsible governance.

“The winners of the AI era will not be those with the most sophisticated algorithms,” Omoboye said. “They will be those who invest first in their people and in responsible systems.”

His address at the Monterrey conference adds to a growing body of thought leadership advocating for a more structured and accountable approach to AI adoption, particularly in emerging markets where the balance between innovation and regulation is becoming increasingly critical.