Nigeria's next tech boom may not be fintech as founders bet on enterprise software, digital infrastructure

Fintech still owns Nigeria’s startup memory. The next capital rotation may not. Business News Nigeria reports that founders and investors are looking harder at enterprise software, B2B tools, AI applications, and the digital infrastructure beneath commerce and finance. For builders, the point is not narrative. It is margin structure, customer acquisition cost, and whether the buyer is a consumer with no switching cost or a business with a budget line.

The fintech trade is crowded

Nigeria’s fintech cycle produced the visible winners: Flutterwave, Moniepoint, OPay, and PalmPay. Payments became part of daily commerce. That part is not in dispute.

The problem is the next dollar.

According to the report, the market is now more competitive. Customer acquisition costs are rising. Regulation is tightening. Investors are putting more weight on sustainable business models and profitability. That is the spreadsheet version of “maturity.”

For founders, this changes the filter:

• Consumer payments need scale, trust, compliance, and distribution.
• Enterprise software needs a defined workflow, a buyer, and proof that the tool saves money or time.
• Infrastructure needs patience, reliability, and contracts that survive beyond hype cycles.

That does not make fintech dead. It means fintech is no longer the cleanest default bet. The easy story has been priced in.

B2B software is the less glamorous capital sink

Tolu Adesina, CEO of Zirro, told Business News Nigeria that the next wave is likely to come from enterprise and B2B applications. His argument is practical: software has become easier to build, so founders who once found enterprise tooling too expensive can now attack larger business problems.

That matters because Nigeria’s next startup winners may look boring from the outside. Tools for commerce infrastructure. Software for operations. AI layers inside customer service, healthcare, agriculture, education, and financial services. Applications that automate repetitive work and improve decisions.

This is not the same as trying to build foundational AI models. The report frames the more realistic opportunity as applying existing models to local problems. That requires less capital than competing with global AI labs. It also forces discipline: local languages, local regulations, local workflows, local payment rails.

Oluwajuwon Omotayo, founder of Comply54, points to an “AI intelligence layer” that lets autonomous AI agents operate securely on the financial rails already created by fintech companies. Strip out the phraseology and the thesis is clear: the old fintech stack becomes infrastructure for new software businesses.

That is a better venture question than “who launches another wallet?”

What operators should test now

The signal for founders is not “pivot to AI.” That is lazy. The useful test is whether the product has a hard buyer and a measurable job.

A Nigeria-focused B2B or infrastructure startup should be able to answer four questions before raising around a theme:

• Who pays? Not who downloads. Not who likes the demo.
• What system does it replace? Spreadsheet, manual process, call center script, compliance workflow, payment workaround.
• What risk does it reduce? Cost, fraud, delay, downtime, regulatory exposure.
• What data or distribution edge exists locally? Language, regulation, merchant network, sector-specific workflow.

The Airtel CEO’s reported call for businesses to embrace AI-driven digital transformation sits in the same broad lane, though the available snippet gives no operating detail. It is still useful as a market signal: large business-facing players are pushing the same direction. But slogans do not buy software. Procurement does.

The verdict is binary. If a startup is selling “AI” or “infrastructure” as a label, ignore it. If it is selling lower operating cost, better compliance, faster commerce, or higher productivity to a buyer with budget authority, it belongs in the next diligence stack.