90% of African Organisations Unprepared for AI Regulations, BHM Survey Reveals
As African governments move toward regulating artificial intelligence, a survey has exposed a startling reality: 90% of organisations are not adequately prepared for upcoming AI compliance requirements.
The finding, from Pan African consultancy Blackhouse Media (BHM)’s survey of communications and marketing professionals across Nigeria, Kenya, Ghana, and South Africa, suggests that businesses face a potential regulatory reckoning as AI governance frameworks take shape across the continent. The survey is part of BHM’s recently published white paper titled, “AI Ethics in Africa’s Media and Communications Landscape: A Readiness Framework for 2026 & Beyond.”
“This is a ticking time bomb,” warns Femi Falodun, Executive Director, BHM and author of the paper. “Organisations are racing to adopt AI tools for competitive advantage, but very few are thinking about governance, accountability, or compliance. When regulations arrive, and they will, many will be caught flat-footed.”
The preparedness gap is particularly significant given regulatory developments worldwide. The European Union’s AI Act, which came into effect this year, has extraterritorial implications for African businesses serving EU markets or processing EU citizen data. Meanwhile, several African nations, including Nigeria, are developing their own AI governance frameworks.
“Nigerian businesses exporting services to Europe, South African companies with European partnerships, Kenyan tech firms serving global markets – all these organisations will face compliance requirements,” Falodun explains. “Yet our survey shows many are largely unprepared.”
The survey revealed the extent of the readiness crisis. Only 10% of organisations have established clear AI governance policies, appointed accountability officers, or developed compliance monitoring systems. Most are adopting AI tools reactively, without strategic frameworks or ethical guidelines.
The risks extend beyond regulatory fines. Organisations using AI without proper governance face reputational damage, legal liability, and stakeholder backlash, particularly around issues like data privacy, algorithmic bias, and automated decision-making affecting customers or employees.
“Imagine a media company whose AI-powered content curation amplifies misinformation,” Falodun posits. “Without governance frameworks, these aren’t hypothetical risks but inevitable outcomes.”
Published as part of a white paper titled, “AI Ethics in Africa’s Media and Communications Landscape: A Readiness Framework for 2026 & Beyond,” the survey also found that 73% of professionals lack confidence in identifying AI bias, while 66% struggle to detect AI-generated misinformation––further evidence of the broader readiness crisis.
In response, BHM developed the OMOLUABI-AWARE framework, with the AWARE component specifically addressing organisational readiness through Accountable Governance, Workforce Readiness, and Responsible Innovation.
“We can’t simply copy-paste European or American regulatory frameworks,” argues Ayeni Adekunle, BHM Founder/CEO. “We need governance approaches rooted in African values, while meeting international standards.”
Business leaders are beginning to take notice. Some forward-thinking organisations have established AI ethics committees, conducted audits of their AI systems, and invested in staff training. However, these remain outliers in an industry largely reactive rather than proactive.
Experts warn that regulatory unpreparedness could stifle African innovation.
“If businesses wait until regulations are imposed, they’ll be playing catch-up,” notes Ayeni. “Proactive preparation creates competitive advantage.”
BHM’s white paper recommends that organisations immediately audit their AI usage, establish governance policies, train leadership on AI ethics, and engage with emerging regulatory frameworks.
“The question isn’t whether regulation is coming, it’s whether organisations will be ready when it arrives,” Falodun concludes.
The complete survey findings and OMOLUABI-AWARE framework are available at [bhmng.com/AIEthicsWhitePaper]
