Artificial intelligence is advancing at a pace that is increasingly changing how technology companies think about software, work and financial services.
Jack Clark, co-founder of Anthropic and head of the company's Anthropic Institute, has warned that AI systems are becoming significantly more capable and that governments may eventually need mechanisms to slow development if the technology advances faster than society can safely absorb it. Clark has described the current AI industry as having a “gas pedal” without a sufficient “brake pedal”.
The warning has consequences far beyond Silicon Valley as increasingly capable AI is moving from a back-office productivity tool into areas that directly affect customers, including fraud detection, credit assessment, compliance, customer service, investment decisions and risk management.
AI is moving deeper into financial services in Nigeria
Financial institutions and fintech companies are using AI to process large volumes of transactions, identify suspicious activity, assess customers and automate operational processes.
The Central Bank of Nigeria itself says it is deploying advanced technologies, including artificial intelligence and blockchain analytics, to trace suspicious transactions and detect fraud.
The significance of more powerful AI is that these systems are likely to become capable of handling increasingly complex financial tasks.
That could reduce operating costs, speed up financial decisions and allow companies to serve larger customer bases without increasing their workforce at the same rate.
Nigeria is particularly exposed to the shift
Nigeria has one of Africa's most developed fintech ecosystems, with digital payments, mobile money, lending, wealth management and other technology-driven financial services expanding rapidly.
The country's position means developments in AI are unlikely to remain confined to technology companies. They will increasingly affect how Nigerians borrow, save, invest, make payments and interact with financial institutions.
Nigeria is also becoming part of the infrastructure required to support the next phase of AI.
MTN Group, Africa's largest telecoms operator, said in August that it was exploring banking licences in selected markets as it expands its lending business, while also planning AI-ready data-centre infrastructure in Nigeria and South Africa through a new venture. The initial data-centre development is expected to target about 150 megawatts of capacity across the two markets.
The combination of financial platforms, telecommunications infrastructure, cloud computing and AI capacity is creating a much broader technology ecosystem around African finance.
The opportunity for Africa is significant
The African Development Bank estimates that AI could generate up to $1 trillion in additional GDP for Africa by 2035, equivalent to close to one-third of the continent's current economic output.
The institution has also backed initiatives aimed at accelerating AI adoption across the continent, including a 2026 partnership targeting up to $10 billion in mobilisation and 40 million jobs by 2035.
For African financial services, the potential gains include greater automation, more effective fraud detection, faster customer onboarding, improved risk assessment and lower costs of delivering financial products.
These gains could be particularly important in markets where traditional financial infrastructure remains expensive or difficult to access.
But greater AI capability also raises financial risks
Financial regulators have traditionally dealt with identifiable institutions, products and processes. Increasingly autonomous AI systems introduce another layer: the technology itself can influence or execute decisions that have financial consequences. An AI system used for credit assessment, for example, can affect who receives financing and at what price.
A fraud-detection system can determine whether a legitimate customer is allowed to transact. An automated investment system can influence where a customer's money is allocated. As these systems become more capable, the distinction between AI assisting a financial employee and AI making a financial decision becomes increasingly important.
That is why Clark's call for a technological “brake pedal” is relevant to financial services. He has argued that governments and society need mechanisms that allow AI development to be slowed when necessary.
The regulatory challenge is coming closer
Nigeria's financial regulators are already operating in an environment where fintech, artificial intelligence, digital assets, data protection and consumer protection increasingly overlap. Recent Nigerian regulatory developments show a broader movement toward more coordinated oversight of digital finance, including virtual assets, digital lending and financial innovation.
AI adds another dimension. Regulators will increasingly need visibility into how financial institutions use AI, what data feeds their models, how decisions can be reviewed and who remains accountable when automated systems fail. It means ensuring that the speed of technological adoption does not outrun the ability to supervise its consequences.
The financial industry is entering a new phase
The first fintech revolution made financial services digital. The next phase is making them increasingly intelligent and automated. That transition could fundamentally change the cost structure of African financial services. A fintech that can automate customer support, compliance, fraud detection and parts of credit assessment can potentially serve more customers with fewer manual processes. But the same technology can also amplify errors at scale.
That makes governance, transparency and human oversight increasingly important as AI moves closer to the financial decision-making process. For Nigeria and Africa, the stakes are therefore larger than adopting another piece of technology. AI is becoming part of the infrastructure through which financial services will be delivered.