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In the worldwide story of technological advancement, Artificial Intelligence (AI) is frequently depicted as a domain reserved for major companies based in Silicon Valley, heavily financed research facilities, and large international firms.

This story may leave individuals in developing countries such as Zimbabwe feeling helpless, as it portrays AI as an expensive commodity brought from other regions instead of a useful instrument for addressing local challenges.

It’s time to transform this fundamental approach.

The key forces behind meaningful, long-lasting, and innovative AI in Zimbabwe will not come from international technology firms, but from the nation’s energetic, flexible, and culturally grounded small and medium-sized enterprises (SMEs). (SMEs need to be acknowledged, supported, and financially backed as the primary catalysts for AI advancement and application.)

The necessity of AI and its advantages for small and medium enterprises

Zimbabwe encounters specific issues that need to be tackled for progress: increasing farm production despite shifting climate conditions, enhancing healthcare availability, and simplifying financial access within a complicated monetary structure.

At its foundation, artificial intelligence serves as a means of addressing challenges. It excels in identifying patterns within data, forecasting outcomes, streamlining processes, and customizing offerings for individual users.

The challenges in Zimbabwe cannot be addressed with standard, pre-made software created for Western nations.

They will stem from a thorough grasp of the local market, consumer shopping habits, and the challenges individuals encounter.

This is where small and medium-sized enterprises hold a significant advantage. As they are embedded within their local areas, they possess a deep understanding of their surroundings that no external company can replicate.

A minor logistics firm based in Harare has a deeper understanding of the actual challenges that delivery routes encounter compared to a worldwide algorithm.

A horticulture exporter based in Mutare is aware of how micro-climates and supply chain challenges can impact crops, without needing to deliberate on it.

A local enterprise in Bulawayo that offers micro-insurance has a thorough understanding of its customers’ financial habits.

When this profound, concealed understanding is paired with AI’s capacity to process information, the potential for highly localized creativity becomes immense.

Small and medium enterprises (SMEs) exhibit greater adaptability compared to larger companies.

They have the capability to implement an AI-driven system on a limited level, for instance, a chatbot used in customer support, a forecasting model for stock control, or a drone-related device for on-site evaluation.

They have the ability to learn fast, adjust, and develop naturally.

They don’t need to deal with old IT systems or administrative obstacles, allowing them to employ and modify technology as required.

Simplifying AI for small enterprises

The initial obstacle is perception. Many small business owners associate “AI” with images of human-like robots and highly complex, science-fiction scenarios.

The initiative must shift public perception of AI, employing straightforward and accessible language: “AI as an efficiency partner.”

For a small retail company, AI serves as an easy-to-use tool that examines previous sales data and seasonal patterns to ensure popular products remain available while freeing up capital that would otherwise be locked in unsold stock.

For a marketing firm, AI serves as a resource for creating content and organizing social media updates, enabling the detection of popular themes and optimal posting times, thus attracting more clients with reduced effort.

For a small manufacturing business, AI refers to a smartphone-powered machine vision system that conducts quality inspection by identifying defects in items more swiftly and precisely than human vision.

In an agricultural cooperative, AI serves as a system that examines weather and soil information, providing smallholder farmers with tailored, timely guidance on sowing and watering via text messages.

The objective is not to create a machine capable of independent thinking from the ground up. Rather, it involves utilizing available, cost-effective AI technologies and, above all, developing tailored applications that address issues specific to Zimbabwe.

To transform small and medium-sized enterprises from passive observers of AI into drivers of AI advancement, the entire nation must collaborate.

The policy should take the forefront

Creating a National AI Strategy for Small and Medium Enterprises: a well-defined approach that focuses on the key industries (agri-tech, fintech, health-tech, logistics) and unites government departments, academic institutions, and companies.

Tax incentives for small and medium enterprises that invest in artificial intelligence software, equipment, and employee development. Funding opportunities for AI pilot initiatives that address specific challenges.

Digital foundations: Ensuring dependable and cost-effective broadband and cloud computing services is the primary focus. There is general agreement that collaboration between the public and private sectors is essential for extending this infrastructure.

Regulatory sandbox: Creating a “sandbox” environment for small and medium-sized enterprises in the fintech or health-tech sectors to securely trial AI-based innovations with supervision from the Reserve Bank or the Ministry of Health.

This promotes creativity without requiring businesses to fully comply right away.

The academy as the talent conduit

Colleges and technical institutions should shift focus from solely instructing theoretical computer science to incorporating practical artificial intelligence education.

Incorporating artificial intelligence, data science, and machine learning into academic programs focused on business, farming, and engineering demonstrates the merging of disciplines.

Innovation Development for Small and Medium Enterprises: Encouraging students and professors to tackle practical issues presented by nearby SMEs as part of their senior projects and academic research.

Short-term training: Equipping existing industry experts and company owners with credentials and intensive programs to learn how to apply AI technologies and interpret data.

The business sector and the diaspora as facilitators

Local technology hubs and incubators, including Muzinda Hub and TechVillage, need to actively assist startups through guidance, cloud credits, and initial financial support.

Corporate collaborations: Major corporations can support small and medium-sized enterprises (SMEs) in advancing AI by offering access to their platform’s APIs, exchanging anonymized, non-competitive data, or organizing competition prizes for AI innovations within their supply chains.

Engaging the diaspora: Utilizing the expertise and abilities of Zimbabweans living in prominent technology centers around the globe to offer virtual guidance, venture capital support, and exchange of information.

Embracing the data-driven journey

Small businesses must alter their internal culture.

Begin with Data: The initial step involves gathering information in a structured manner, rather than relying on complex algorithms. Converting customer records, sales data, and business operations into digital format supplies AI with the necessary information to develop.

Collaborate and form partnerships: Many small and medium-sized companies will not have an in-house AI expert. The key step is to team up with local data scientists, application developers, or university groups.

The small and medium enterprise has a deep understanding of the topic and the issue, while the technology partner develops the solution.

Emphasize return on investment, rather than trends: Concentrate on AI initiatives that will provide a clear long-term benefit. These efforts should reduce expenses, save time, enhance sales, or strengthen customer loyalty.

The main objective goes beyond merely having small businesses in Zimbabwe adopt AI; it aims to establish a setting where Zimbabwean small enterprises export AI expertise.

Imagine a new company based in Bulawayo that creates a strong AI system able to identify typical plant illnesses through a photo taken on a mobile phone.

This tool has the potential to be applied throughout southern Africa. Picture a small fintech firm based in Harare creating an AI system for alternative credit evaluation for individuals without bank accounts. This system could be licensed throughout the continent.

If Zimbabwe makes SMEs the core of its digital growth, it can pursue a route of self-reliant digital progress. Rather than depending on technology from other nations, the country can support its own creators, address its most significant challenges, and launch a new export industry rooted in expertise.

The initial step in the journey is to acknowledge that the creativity required to build the future is not distant, but resides within the bustling SMEs found in our cities and towns, simply awaiting inspiration. It’s time to fuel that engine.