SME of the World: The Fulcrum for AI

Artificial intelligence is being discussed as if its destiny were already decided: bigger models, faster machines, smarter software and increasingly powerful technology companies. Yet beneath this technological drama sits a much older and larger human system—the millions of small and medium-sized enterprises that make, trade, repair, transport, design, grow and sell the things people actually use. These enterprises are not laboratories. They are businesses built through experience, relationships, local knowledge and years of practical problem-solving. The question is no longer whether AI can enter their world. The question is whether anyone has imagined the scale of what could happen if it does.

For decades, the SME has been treated mainly as a category in need of assistance: training, financing, digitalization, consulting, regulation, and occasional government programs. AI is now part of the same language. But there is another way to look at it. The world's SMEs are not simply millions of small customers waiting to purchase technology. Together, they form an enormous living network of entrepreneurial knowledge. A factory owner knows machines in ways no textbook can fully describe. A trader knows customers. A farmer knows seasons. An exporter knows markets. A repairer knows failure. AI brings vast stores of explicit knowledge; entrepreneurs bring knowledge gained through doing.

That combination changes the question. Instead of asking how many SMEs have attended an AI workshop, downloaded an AI application, or completed a readiness assessment, ask how many enterprises have actually changed the way they work. Has a manufacturer reduced waste? Has an exporter found a new market? Has a small trader reached customers previously beyond its reach? Has a family business turned years of experience into a more powerful operating system? These are ordinary questions, but they point toward an extraordinary possibility: AI could become a mechanism for releasing productive knowledge that already exists inside millions of enterprises but has never been connected at global scale.

This is also why the challenge cannot belong to technology companies alone. Governments possess something technology companies do not: the authority and reach to organize national populations. Entrepreneurs possess something governments cannot manufacture initiative, risk-taking, practical knowledge and the instinct to turn an opportunity into an enterprise. AI contributes another capability—the ability to process, connect, and amplify enormous quantities of explicit knowledge. Put these three elements together, and the discussion shifts from selling technology to businesses to mobilizing businesses with technology. The objective is not to create another program for SMEs. It is to create a new relationship between intelligence and entrepreneurship.

This idea doesn't require a grand declaration to begin. Take one region and identify 10,000 enterprises. Give them a common starting point. Understand what each business actually does, what knowledge it possesses, where it struggles, and where AI might genuinely change its operations. Then observe the results over 100 days. Not attendance figures. Not conference photographs. Not the number of applications downloaded. Look for changed products, improved processes, new customers, greater productivity, expanded markets, and new possibilities created by combining human experience with machine intelligence. If the experiment works, expand it. If it fails, learn from it. Either way, the world gains evidence rather than another promise.

This may be the larger question facing the AI era. We have spent enormous energy asking what AI will become. We should also ask what humanity can become when we put intelligence in the hands of the people already doing the world's everyday work. The SME of the world represents not one industry, one country, or one economic philosophy. It represents an enormous reservoir of human initiative. AI may eventually transform almost everything around us. But its deepest test may be much simpler: can extraordinary intelligence reach ordinary entrepreneurs and help them do extraordinary things? 10,000 SMEs. 100 days. One region. Measurable results. That is where the next chapter can begin.

The Global Existence

They both already exist.

SME: They are not waiting to be created. Millions of enterprises operate every day, carrying knowledge, customers, products, and relationships.

AI: It is no longer a laboratory experiment. Models, agents, platforms, and applications are already operating worldwide.

They are anxious to expand.

SME: Most entrepreneurs aren't lacking ambition. They need greater reach, skills, connections, and tools to turn ambition into larger enterprises.

AI: AI is moving rapidly into every sector, but expansion requires more than better models. It requires real places where intelligence can create measurable value.

They are everywhere.

SME: From village workshops to family manufacturers, exporters and digital traders, SMEs form a living commercial network across every continent.

AI: From offices and factories to software, media, finance and public services, AI is becoming part of the world's operating environment.

They dream of greatness.

SME: Behind many small enterprises is an entrepreneur whose ambition is considerably larger than the size of the business.

AI: Behind the AI revolution is an equally enormous ambition—to transform industries, accelerate discovery, and expand human capability.

They only look small.

SME: Ten employees can serve thousands of customers, supply larger companies and reach international markets.

AI: A single model can serve millions, but its true significance depends on what those millions actually accomplish.

They build the world's commerce.

SME: They manufacture, distribute, repair, transport, trade, design, grow, and provide the everyday services societies depend on.

AI: It can process, connect, translate, analyze, and amplify knowledge across those activities at unprecedented speed.

They carry different kinds of intelligence.

SME: Entrepreneurs carry tacit knowledge, experience with customers, machines, markets, suppliers, mistakes, and opportunities.

AI: AI carries extraordinary explicit intelligence—the ability to process vast quantities of documented knowledge and turn it into usable capability.

Put them together, and the tango begins: Currently, they both already exist → They want to expand → They are everywhere → They dream of greatness → They only look small → They build the world's commerce → They carry different kinds of intelligence → The tango begins.

The Global Influencers of AI Leadership

The AI leadership conversation now reaches far beyond one company or one country. In the United States, influential figures include Sam Altman of OpenAI, Jensen Huang of NVIDIA, Dario Amodei of Anthropic, Satya Nadella of Microsoft, Mark Zuckerberg of Meta, and Elon Musk of xAI. The United Kingdom includes Demis Hassabis of Google DeepMind and Mustafa Suleyman of Microsoft AI. France has Arthur Mensch of Mistral AI, while China has Liang Wenfeng of DeepSeek. Canada includes major figures such as Aidan Gomez of Cohere, Yoshua Bengio, Geoffrey Hinton, and Ilya Sutskever. Together, these names illustrate the extraordinary geographical and intellectual reach of today's AI leadership—and raise a larger question: where does the world's SME population fit into this rapidly expanding AI architecture?

Finally, the question for this generation of AI leadership is no longer who can build the most powerful intelligence, but who can connect that intelligence with the world's enormous entrepreneurial population.

The Rest is Execution