The World Bank has finally arrived at the doorway Expothon has stood at for five years. In Bangkok this October, President Ajay Banga announced a “Small AI” strategy for MSMEs—practical, affordable tools for small firms rather than frontier models, paired with a new MSME strategy to make small businesses “visible, connected, enabled and funded” . The World Development Report 2026 adds the arithmetic: 1.2 billion young people entering the job market over the next 10 to 15 years, against roughly 400 million projected jobs. Small AI, the Bank says, could let developing economies achieve in a decade what might otherwise take a century.
This is a progressive move, and it deserves that label. But it is also incomplete, and the incompleteness is the whole story. The two mother tongues, what AI and the economy cannot read properly will decide the future of economies.
The Bank Has Built the Explicit Side Only: The World Bank’s framework is “adopt, adapt, advance”. Its instruments are power, connectivity, devices, skills, finance, and local-language datasets. Each is an explicit intervention. Written knowledge makes AI accessible, increases the visibility of SMEs, and connects small firms to markets and capital. This is essential infrastructure, not mobilization.
What the Bank’s strategy does not touch, it cannot touch, because it lacks the vocabulary; it is the tacit dimension. Tacit is the mother tongue of entrepreneurial mysticism. This only-known power intuitively drives a person to search for unexplainable answers to unimaginable problems, taking lifelong risks, rent, and payroll as Explicit is written language, but tacit remains unwrite able, like riding a bike.
This knowledge is not found in any dataset. It cannot be uploaded, fine-tuned, or prompted; it resides within the entrepreneur and represents the largest uncodified economic asset that any nation possesses. Each SME has its own tacit journey, and combining AI with explicit knowledge has the potential for quadruple performance. For instance, a national mobilization of entrepreneurial protocols once professionally deployed to 100 million SMEs could potentially create a China. A quick visit to China can clarify this concept or ask any AI why narratives about SME mobilization are gaining global attention.
Expothon thesis, argued for five years, is that AI is explicit and SMEs are the carriers of tacit knowledge. Combine them at the enterprise level, and you get something the World Bank’s access-and-finance strategy cannot produce: a superpower workforce. Not because AI replaces the entrepreneur’s judgment, but because AI engages it amplifies it, scales it, and converts a million unrecorded capabilities into national productive capacity.
Read more by Naseem Javed: Master global strategies: When SMEs become national GDP drivers (October 15, 2026)
The Bank’s own report concedes the gap without naming it. Only about one in five small firms in developing economies had recently used an AI chatbot, and the capability gap widens for advanced uses—10% versus 24% for AI agents and workflow automation. That is access without capability. It is the explicit tool sitting idle beside the tacit knowledge it was meant to engage.
Why Mother Tongues Matter: The phrase is not decorative. The World Bank is right that AI must adapt to local languages. But language is the surface of something deeper. What an entrepreneur knows is encoded in the mother tongue of practice—the idioms of a trade, the unwritten rules of a local market, the inherited instincts of a family business. AI that cannot engage that mother tongue remains a foreign instrument, useful for translation but incapable of partnership.
Expothon prediction two years ago was precise: AI plus SME plus tacit knowledge equals grassroots prosperity. The explicit machine must meet the tacit human where the human already is—in the enterprise, in the market, in the language of work. The World Bank has built the road to the enterprise. It has not built the bridge to the knowledge inside.
The Five-Year Record: Expothon did not arrive at this thesis after the Bank’s announcement. It was there before. In 2021, as the pandemic recovery debates focused on stimulus and debt, Expothon was arguing that the 500 million SMEs of the world were the untapped force for globalization, and that national leaderships had ignored “the optimization of untapped local entrepreneurial forces to uplift small and medium business economies” . In 2023, the argument sharpened: the Children of 2000 would reach maturity by 2030 with global-age skills, and the institutions that failed to mobilize their SME bases would face an electoral reckoning. In 2025, Expothon published the audit framework: “audit, test, certify, and inject real entrepreneurial mysticism into every economic team—or accept irreversible decline.”
And in 2026, as the Bank arrived at Small AI, Expothon named the missing layer with precision: “although AI was built on explicit knowledge, its real power lies hidden in unwritten tacit knowledge, the natural strength of entrepreneurial mindsets, and the mother tongue of entrepreneurialism”
Read more by Naseem Javed: 2030 Crossroads: Is America rising and China falling? (October 5, 2026)
The Bank’s progressive move confirms the diagnosis. It does not supply the engine. Access to AI for SMEs is a chatbot. AI engaging tacit knowledge through the SME is a mobilization. The first makes small firms visible. The second makes them capable. A nation that stops at visibility has a registry. A nation that crosses into tacitness has a workforce.
What Cabinets Should Do Now: The World Bank has given every Cabinet a gift: a legitimate multilateral frame for SME AI. Use it. Take the connectivity, the finance, the local-language datasets, the “visible, connected, enabled” strategy. But do not confuse the frame with the building. Explore National SME Mobilization Global Index™ A special message to national leadership: Why is your nation on the list?
The task is to add the layer the Bank cannot build. Identify the high-potential SMEs that carry tacit knowledge—the exporters, the manufacturers, the traders whose judgment cannot be written down. Digitize them, yes. But then arm them with AI designed to engage their knowledge, not replace it. Measure not adoption but output, revenue, exports, productivity, jobs. Run one 90-day pilot in one region with one thousand firms and publish the results. Make the tacit explicit in outcome, even if it remains tacit in method.
The World Bank has moved. That is good news. But the Bank’s Small AI reaches the enterprise. It does not reach the entrepreneur’s mother tongue. The economies that will decide the next decade are the ones whose Cabinets understand the difference—and build the bridge the Bank has not yet learned to name.
The Rest is Execution