By 2030, more than 25 billion devices are expected to be connected worldwide, each one a potential gateway for both innovation and risk.
Already, 87% of companies identify AI as a top business priority, and over 76% are actively using AI in their operations.
These numbers reflect a profound shift: technology is no longer a backstage support act but a strategic force shaping economies, societies, and everyday life.
Artificial Intelligence (AI) and the Internet of Things (IoT) sit at the heart of this transformation. Together, they are redefining how decisions are made, how risks are managed, and how value is created across industries.
From hospitals monitoring patients in real time to banks using predictive analytics to stop fraud before it happens, AI and IoT are moving from abstract concepts to everyday business tools.
Yet this expansion comes with complexity. As organisations embrace cloud platforms, remote work, and IoT‑enabled systems, their digital footprints grow larger, and so do the threats.
Cybersecurity has become a frontline issue, no longer a technical afterthought but a pillar of resilience and trust.
The role of IT has changed dramatically. Once focused on maintenance and uptime, IT teams now sit at the centre of strategy and risk management.
Cloud‑first architectures and interconnected networks have introduced new vulnerabilities, forcing IT leaders to act not just as problem‑solvers but as proactive partners in innovation.
AI is proving indispensable in this new environment. It can analyse vast datasets, detect anomalies, and automate responses at machine speed, capabilities that traditional approaches simply cannot match.
Combined with IoT, AI delivers real‑time visibility across connected devices, enabling predictive maintenance, intelligent monitoring, and faster decision‑making.
These are not abstract benefits; they are the difference between preventing a cyberattack in seconds or suffering a costly breach.
But the story is not only about opportunity. The rapid adoption of AI and IoT raises pressing questions about ethics, privacy, and governance.
Automated decision‑making must be transparent, accountable, and fair. Organisations also face a widening skills gap, as demand for professionals who can responsibly manage advanced technologies outpaces supply.
Striking the right balance between innovation and control is essential. Security‑by‑design principles, strong governance frameworks, and continuous risk assessment are no longer optional extras. They are the foundation for trust in a digital economy.
Looking ahead, IT will continue to evolve as AI and IoT become embedded in everyday operations. Success depends not only on adopting advanced technologies, but on aligning them with business goals, regulations, and culture.
For Nigeria, this transformation is both a challenge and an opportunity. With its vibrant fintech sector, growing digital economy, and youthful workforce, the country is well‑placed to harness AI and IoT for growth.
Lagos alone hosts hundreds of startups experimenting with AI‑driven financial services, while smart city initiatives in Abuja and other urban centres are exploring IoT for traffic management, energy efficiency, and public safety.
At the same time, Nigeria faces unique vulnerabilities. The country has one of the fastest‑growing internet populations in Africa, but also one of the most targeted by cybercriminals.
Reports suggest that Africa loses over $4 billion annually to cybercrime, with Nigeria accounting for a significant share. As more devices and systems come online, the stakes will only rise.
Government policy will play a decisive role. Nigeria’s National Digital Economy Policy and Strategy (2020–2030) already highlights AI and IoT as critical enablers of growth.
But translating policy into practice requires investment in infrastructure, stronger regulatory frameworks, and public‑private collaboration. Without these, the promise of AI and IoT could be undermined by weak security and poor governance.
Education and skills development are equally vital. Nigeria’s youthful population which is over 60% under the age of 25 represents a massive opportunity if properly trained.
Universities and technical institutes must integrate AI, cybersecurity, and IoT into their curricula, while businesses should invest in continuous upskilling. Otherwise, the skills gap will widen, leaving organisations vulnerable and innovation stunted.
Ethics and trust must also remain central. Nigerians are increasingly aware of data privacy concerns, from mobile banking to health records.
Embedding transparency and accountability into AI systems will be critical for public acceptance. Leaders must ensure that innovation does not come at the cost of fairness or human rights.
Real‑world examples already show the potential. Nigerian hospitals are beginning to explore AI‑enabled diagnostic tools, while logistics companies use IoT to track deliveries in real time.
These innovations demonstrate how technology can improve lives and strengthen businesses, but they also highlight the need for robust safeguards.
Ultimately, Nigeria’s digital future will be shaped not only by technology but by leadership. IT leaders, policymakers, and entrepreneurs who embrace AI and IoT responsibly with a clear focus on security, ethics, and long‑term value creation.
This will be best positioned to navigate an increasingly complex threat landscape. The question is no longer whether to adopt these technologies, but how to do so in a way that builds resilience, trust, and sustainable growth for Nigeria’s digital economy.
*Fola Baderin is a cybersecurity consultant and AI advocate focused on shaping Nigeria’s digital future.
