The AI adoption gap is becoming one of the most defining dynamics in modern business, separating companies that are extracting real value from artificial intelligence from those that remain stuck in experimentation.
Dedicated to covering the development, application, and impact of artificial intelligence in Kenya’s economy. Tracks startups, enterprise adoption, and ethical debates.
The AI adoption gap is becoming one of the most defining dynamics in modern business, separating companies that are extracting real value from artificial intelligence from those that remain stuck in experimentation.
A defining challenge within the Africa's AI adoption surge is the reliance on models developed in entirely different economic, cultural, and regulatory contexts.
Addressing the AI context problem in business requires a fundamental shift in how organizations design, train, and deploy AI systems.
When companies attempt to automate everything at once, they spread resources—time, capital, and attention—too thin.
AI-powered coding risks are rapidly emerging as a critical concern for enterprises embracing automation at scale. As organizations integrate AI tools to accelerate software development, a new phenomenon—often referred to
Automation is equally transformative, particularly in warehousing and port operations.
Africa’s music industry is no longer emerging—it’s exploding.
Kenya’s AI future could be at risk—and it’s not about technology. It’s about regulation.
AI is no longer a future concept in East Africa. It’s already inside the home.
A new rule is quietly emerging in the world of small business finance: No AI plan. No loan.