The AI phenomenon and opportunities for businesses

Artificial intelligence has evolved rapidly over the past few years. What was once viewed as an emerging technology has now become a core part of how modern businesses operate. The conversation is no longer about whether AI will transform business, but how quickly organisations can adopt it to remain competitive. From small businesses in Abuja to global enterprises in New York and London, AI is changing the way work is done, customers are served, and value is created. More importantly, it has dramatically reduced the cost of accessing intelligence, giving businesses of every size capabilities that were once reserved for the world’s largest organisations.

This article explores what the AI phenomenon means, where businesses are already seeing measurable returns, the opportunities across different industries, the risks to consider, and practical steps for adopting AI in 2026.

The result is that every business now has access to a highly capable digital assistant that works continuously, processes information within seconds, and improves as AI technology advances.

Where Businesses Are Creating Value with AI

Much of the discussion around AI focuses on future possibilities, but many organisations are already generating measurable business value today.

AI-powered customer support now handles a significant share of enquiries across websites, WhatsApp, and email, allowing businesses to provide around-the-clock assistance while reducing operating costs. Sales teams are also benefiting from AI copilots that analyse conversations, generate follow-up emails, update CRM records automatically, and recommend the next best action for sales representatives. Personalised customer engagement has also become far more practical. Businesses can recommend products, tailor marketing messages, and anticipate customer needs based on previous interactions. One Nigerian fintech, for example, deployed an AI support system trained in English, Hausa, and Nigerian Pidgin, reducing support costs while improving customer satisfaction.

Marketing teams are using AI to produce significantly more content without increasing headcount.

A single marketer can now develop social media campaigns, blog articles, advertising variations, and video concepts in a fraction of the time previously required. AI also enables highly localised advertising by adapting creative assets for different languages, locations, and customer segments. Businesses are using these capabilities to improve campaign performance while lowering acquisition costs. Search engine optimisation has also changed. AI helps organisations continuously update content, strengthen internal linking, and respond more effectively to changing search behaviour.

Administrative work is becoming faster and more efficient through AI. Invoices, purchase orders, contracts, and receipts can now be processed automatically, reducing approval times from days to hours. Finance teams use AI to reconcile accounts, monitor transactions, detect anomalies, and improve cash flow forecasting. Human resources departments are streamlining recruitment by screening applications, scheduling interviews, preparing offer letters, and supporting employee onboarding.

Software development has accelerated through AI-assisted coding, enabling developers to build and test applications much faster. At the same time, non-technical teams are using AI-powered development platforms to create internal tools without extensive programming knowledge. AI also supports product design by generating multiple creative concepts in a short period, while researchers use it to analyse large volumes of customer feedback, market data, and academic research to identify opportunities.

Businesses increasingly rely on AI to support strategic decisions. Forecasting models help improve demand planning, inventory management, and sales predictions. Financial institutions apply AI to fraud detection and alternative credit assessment, improving risk management and lending decisions. Leadership teams can also test different business scenarios—such as pricing changes or expansion strategies—and receive data-driven projections within minutes.

Beyond improving efficiency, AI is enabling organisations to introduce entirely new products and services. Law firms now offer AI-assisted contract reviews. Healthcare providers provide AI-supported second opinions. Logistics companies package route optimisation capabilities as commercial services for other businesses. For many organisations, AI is becoming a source of revenue rather than simply a tool for reducing costs.

Businesses do not need to build their own large language models to benefit from AI. The right approach depends on their size, objectives, and available resources.

1. AI Consumers These businesses use established AI tools such as ChatGPT, Gemini, Claude, Canva AI, and Notion AI to improve day-to-day productivity. The investment is relatively low, typically ranging from $20 to $100 per employee each month, while the time savings can amount to several hours per employee every week.

2. AI Integrators This approach involves connecting AI to existing business systems such as CRMs, ERPs, websites, customer support platforms, or WhatsApp channels through APIs. Although implementation requires a larger investment, businesses often begin seeing returns within a few months through improved efficiency and customer experience.

3. AI Customizers At this stage, organisations train AI systems using their own internal knowledge, including product information, customer support documentation, policies, and historical data.

The result is a solution tailored to the business, creating capabilities that competitors cannot easily replicate.

4. AI Builders Some organisations go a step further by creating entirely new AI-native products and services.

Examples include specialised education platforms, healthcare solutions, financial services, or industry-specific AI applications.

This approach requires the highest investment and carries greater risk, but it also offers the greatest long-term opportunity.

For most small and medium-sized businesses, beginning with AI consumption and integration provides the fastest path to measurable value.

5. Opportunities Many Businesses Overlook Beyond the common applications, several areas remain underutilised despite their potential impact.

6. Managing the Risks AI offers significant advantages, but successful adoption requires thoughtful governance.

7. A Practical 90-Day Adoption Plan AI adoption does not begin with a lengthy strategy document. It begins with practical implementation.

Measure improvements in productivity, quality, and response times.