The Financial Times Asks if AI Can Help Developing Nations ‘Leapfrog,’ But the Answer is Actually Just ‘Sequencing’

The Financial Times Asks if AI Can Help Developing Nations 'Leapfrog,' But the Answer is Actually Just 'Sequencing'

The Financial Times Technology desk just posed a question that every enterprise software vendor has been aggressively pitching to emerging markets: Can artificial intelligence help developing countries "leapfrog" into the future? The answer, it turns out, is a masterclass in tempered expectations. According to the publication, for Africa, the real opportunities may actually lie in sequencing.

Let us figure this out together, because as someone who used to read merger and acquisition term sheets for a living, I am endlessly fascinated by the gap between a headline's promise and the reality of the underlying text. "Leapfrogging" is a magical concept. It implies skipping the hard parts. It is the pitch that says you do not need to build legacy infrastructure; you can just jump straight to the science-fiction future. But the Financial Times report gently deflates this balloon with a single, highly corporate word: sequencing.

For chief financial officers and finance operators managing capital allocation in developing markets, this distinction is everything. Leapfrogging is a vendor pitch. Sequencing is a capital allocation strategy.

Imagine the typical software procurement conversation happening right now.

Vendor: "With our new enterprise artificial intelligence suite, your operations in Africa will completely leapfrog the competition! You can skip the entire traditional digitization phase."

CFO: "That sounds incredibly expensive. The Financial Times actually suggests our opportunities may lie in sequencing."

Vendor: "What exactly does that mean for our contract?"

CFO: "It means we are going to do things in a specific order. One after the other. We are going to sequence our investments rather than jumping over the necessary foundational steps."

This is, I should note, completely rational. But it is also a quiet admission of how technology actually deploys in the real world. The AI is always better in the demo. In the demo, the artificial intelligence seamlessly ingests perfect data and outputs flawless strategic insights, allowing a company to leapfrog its competitors. In reality, the artificial intelligence requires clean data, which requires digital infrastructure, which requires reliable power and connectivity.

Here is the thing everyone is missing about this brief but potent observation regarding Africa's technological trajectory. Sequencing is the exact opposite of leapfrogging. Leapfrogging is jumping over the steps. Sequencing is acknowledging that the steps exist, respecting the structural reality of the market, and deciding which step to fund first.

(I should also note that "opportunities may lie in sequencing" is perhaps the most cautious, lawyerly phrase ever deployed in technology journalism. "May lie." Not "will." Not "are guaranteed to." Just that they might be there, assuming you put your operational ducks in a row first. It is the kind of phrasing that makes a former corporate development associate smile, because it promises absolutely nothing while sounding entirely reasonable.)

Smart people disagree about how fast artificial intelligence will reshape global markets, and here is why: they are confusing the availability of the technology with the capacity to absorb it. When the Financial Times notes that opportunities for Africa may lie in sequencing, they are handing finance leaders a framework for absorption. You cannot leapfrog the requirement to have a structured, digitized financial backend. You have to sequence it.

What changes this quarter for a finance operator reading this? It gives you the intellectual cover to say no to the "leapfrog" pitch. When your business unit leaders come to you demanding immediate budget for generative artificial intelligence tools because they want to leapfrog the competition in emerging markets, you can point to the concept of sequencing. You can ask them what the sequence of integration actually looks like. You can demand to see step one before funding step four.

The future of artificial intelligence in developing countries is not going to be a sudden, magical jump over the realities of economic development. It is going to be a sequence. It will be a series of deliberate, ordered investments in infrastructure, data hygiene, and operational readiness. It is not as glamorous as leapfrogging, but as any controller will tell you, a well-sequenced ledger is the only way you actually close the books.