The AI phenomenon and opportunities for businesses

The Evolution of AI and Outlook 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.

Understanding the AI Phenomenon.

• Three major shifts have shaped today’s AI landscape.
  The first is the dramatic reduction in cost. Tasks that previously required specialist teams, expensive infrastructure, and significant investment can now be performed using affordable AI tools available through a web browser or mobile device. Advanced models such as GPT-5, Claude 4, Gemini 2.5, Llama 4, and Muse Spark have made sophisticated intelligence widely accessible.
• The second shift is seamless integration. AI is no longer a standalone application. It is embedded within everyday tools such as messaging platforms, office software, design applications, CRMs, and mobile devices. For many users, AI has become part of their normal workflow rather than a separate technology.
• The third shift is the rise of AI agents. Earlier AI systems mainly responded to questions. Today’s AI can execute tasks toward defined objectives. Rather than asking AI to draft an email, businesses can instruct it to identify prospects, qualify leads, schedule meetings, and complete much of the workflow with minimal supervision.

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.

• Customer Service and Sales

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 and Brand Growth

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.

• Operations and Administration

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.

• Product Development and Research

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.

• Decision-Making

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.

• Creating New Revenue Opportunities

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.

Industry Opportunities.

• Retail and E-commerce
  Retail businesses are using AI shopping assistants that guide customers through purchasing decisions more effectively than traditional search functions. Common applications include visual product search, dynamic pricing, inventory forecasting, and AI-generated marketing campaigns. For Nigerian retailers, improved demand forecasting and route optimisation can significantly reduce logistics costs and improve profitability.
• Agriculture
  AI has the potential to make smallholder farming more data-driven. Farmers can identify crop diseases using smartphone images, receive weather forecasts, determine optimal harvest periods, and access better market information. With widespread mobile phone adoption across Nigeria, AI voice assistants delivered in local languages can provide practical agricultural advice at scale.
• Healthcare
  Healthcare providers are using AI to extend clinical capacity. Applications include patient triage through WhatsApp, radiology support, medication interaction checks, and automated patient follow-up. Given Nigeria’s shortage of medical professionals, AI-supported healthcare can help increase access while allowing clinicians to serve more patients effectively.
• Education
  AI is making personalised learning more accessible. Students can receive one-on-one tutoring adapted to their learning pace, while educators benefit from automated grading, curriculum development, and skills assessment. For Nigeria, affordable AI learning solutions delivered through mobile devices could help expand educational access for millions of learners.
• Financial Services
  Financial institutions are applying AI to credit scoring, fraud prevention, and financial advisory services. As open banking continues to expand, AI-powered lending and personalised financial products are expected to become increasingly important competitive advantages.
• Manufacturing and Logistics
  Manufacturers use AI to improve production efficiency through predictive maintenance, computer vision quality inspection, and supply chain optimisation. For Nigerian manufacturers facing high energy costs, AI can also improve generator management, production scheduling, and resource utilisation.
• Creative Industries
  AI enables creative professionals to produce content at greater scale. Applications include multilingual dubbing, AI-assisted music production, and video generation for advertising and digital campaigns. These capabilities also create opportunities for Nigeria’s creative industry to distribute locally produced content to international audiences more efficiently.

Four Approaches to AI Adoption.

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.

• AI for Organisational Knowledge
  Every organisation accumulates valuable information across emails, reports, presentations, and internal documents. AI can organise this knowledge into a searchable resource, making information easier to access and significantly reducing employee onboarding time.
• AI for Compliance
  As regulations continue to evolve, AI can help businesses monitor changes in tax laws, labour regulations, and industry requirements, identifying the rules that apply to their operations.
• AI for Localisation
  Businesses can quickly adapt customer support, marketing campaigns, and product information into Yoruba, Igbo, Hausa, Nigerian Pidgin, and other local languages, making it easier to reach broader audiences.
• AI Specialists for SMEs
  Small businesses can now operate with capabilities that previously required much larger teams.
  AI can assist with bookkeeping, marketing, customer support, recruitment, and administration, allowing lean organisations to scale more efficiently.
• Data as a Strategic Asset
  Many organisations already possess valuable operational data.
  When managed responsibly and appropriately anonymised, this information can generate valuable insights and support entirely new business opportunities.

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

• Hallucinations
  AI systems can generate inaccurate information with confidence. Critical decisions involving finance, legal matters, or healthcare should always include human review before implementation.
• Data Privacy
  Businesses should avoid entering sensitive customer information into public AI systems. Enterprise solutions with appropriate security and data protection controls should be used where necessary.
• Workforce Transformation
  Rather than replacing people, organisations should focus on equipping employees with AI skills. While some routine tasks will become automated, demand will continue to grow for professionals who know how to manage and work alongside AI.
• Bias
  AI outputs should be evaluated carefully to ensure fairness across different genders, regions, cultures, and communities, particularly in areas such as recruitment, lending, and public services.
• Vendor Dependence
  Building every workflow around a single AI provider can create unnecessary risk. Flexible architectures that support multiple models provide greater resilience.
• Cost Management
  AI usage should be monitored carefully. Without clear governance, subscription costs and API usage can increase rapidly. Establishing budgets and usage policies helps maintain long-term sustainability.

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

• Days 1–14: Assess
  Identify repetitive activities across the organisation, such as customer enquiries, report writing, meeting documentation, proposal development, or manual data entry. Select a small number of high-impact processes suitable for automation.
• Days 15–45: Pilot
  Introduce AI tools to selected teams and launch a limited number of pilot projects.
  Examples include:
• AI responding to common customer enquiries on WhatsApp.
• AI producing first drafts of proposals and marketing content.
• AI summarising meetings and generating action points.

Measure improvements in productivity, quality, and response times.

• Days 46–75: Integrate
  Connect AI with existing business systems, including customer relationship management platforms, websites, accounting software, and internal workflows.
  Where appropriate, begin using AI agents to complete specific business processes from start to finish.
• Days 76–90: Scale
  Expand successful pilots across the organisation. Develop standard operating procedures that incorporate AI, train employees on best practices, and explore new products or services that AI now makes possible.

8. Nigeria’s AI Opportunity
Nigeria is well positioned to benefit from the next phase of AI adoption. The country’s large population and growing internet penetration provide both a significant customer base and a rapidly expanding digital economy. Many of Nigeria’s long-standing challenges—including access to healthcare, education, financial services, and reliable infrastructure—create opportunities for AI solutions capable of delivering meaningful improvements. Equally important is Nigeria’s youthful workforce, which continues to adopt AI tools for learning, design, software development, and remote work. Three areas present particularly strong opportunities.

• AI in Local Languages
  Voice assistants and conversational AI that understand Nigerian languages can dramatically increase access to digital services for millions of people.
• AI for Small Businesses
  Millions of micro, small, and medium-sized enterprises can improve productivity through AI-powered bookkeeping, customer engagement, marketing, and financial management.
• AI in Public Services
  Government agencies can improve efficiency in areas such as taxation, healthcare delivery, education, and citizen services through responsible AI adoption.

9. Looking Ahead: 2026–2028
Several trends are likely to define the next stage of AI adoption. AI will increasingly become invisible, operating quietly within everyday business tools rather than existing as a separate technology. Organisations will begin treating AI systems as part of their workforce, assigning specialised digital roles that complement human employees. Governments and regulators will continue introducing policies covering AI safety, intellectual property, privacy, and accountability, making governance an essential business priority. Most importantly, the organisations that create entirely new products, services, and business models with AI will outperform those using it solely to reduce costs.

Conclusion.

The defining feature of the AI era is simple: access to intelligence has become dramatically more affordable. This creates two realities for every business.

• First, barriers to entry are lower than ever. Small organisations and individual entrepreneurs can now accomplish work that once required large teams and significant capital.
• Second, competitive advantage has shifted. Since AI tools are increasingly available to everyone, long-term success will depend on unique data, trusted brands, strong customer relationships, effective execution, and sound judgment.

The most important question is no longer, “How do we use AI?”
Instead, businesses should ask:
“What would our organisation look like if intelligence were available on demand?”
The businesses that lead over the next five years will not necessarily be those with access to the most advanced AI models. They will be those that move decisively, empower their people, strengthen their products, and create lasting value with AI. The AI phenomenon is no longer a future possibility. It is already reshaping business. The opportunity now lies in how organisations choose to respond.

For more information, clarifications and support, Contact Prof. Prisca Ndu on +234 8033086190 or [email protected]