The Reality of AI in African Manufacturing: It Starts with the Floor, Not the Cloud

Last week, our had the privilege of speaking to Norfund's investees about the future of AI in manufacturing. The room was filled with brilliant minds driving our continent's industrial growth, but I realized early on that we needed to address the elephant in the room: the hype.

Right now, every manufacturing CEO is being bombarded with pitches about Generative AI and Large Language Models. But let me be candid—you cannot "ChatGPT" a stamping press into being more efficient.

In his discussion, he deliberately steered the conversation away from LLMs and focused entirely on the data and infrastructure perspective. For African industries to actually leverage AI, they must first address the foundational realities of our factory floors. Across my experience building and scaling industrial solutions from Nairobi to Lagos, the most consistent roadblock isn't a lack of ambition; it's stranded data.

To the manufacturing CEOs reading this: if your current equipment isn't talking to you, your AI strategy is chasing shadows.

Here is the pragmatic path forward to achieve quick, sustainable wins and ensure our factories compete on a global scale:

• Stop Ripping and Replacing; Start Retrofitting: You do not need a multi-million-dollar CAPEX budget for brand-new smart machines to start your AI journey. The smartest factories right now are retrofitting legacy equipment with affordable, industrial-grade sensors. Unlock the data that is already trapped inside your machines.

• Infrastructure Over Algorithms: AI is only as good as the data feeding it. Whether you are extracting process data into a Copa Data Zenon environment or pulling telemetry from a legacy Siemens PLC, the priority must be building a robust, unified data infrastructure.

• Never Compromise on Safety: As we bridge IT (Information Technology) with OT (Operational Technology) to feed these new AI models, the risks multiply. Predictive maintenance and automated adjustments are incredible, but they mean nothing if they override critical safety protocols. This is why deep integration with specialized safety automation, like Pilz, must be designed into the infrastructure from day one, not bolted on as an afterthought.

At Synkron, we see this transition happening every day. We are partnering with these global automation leaders to ensure that African manufacturers have the right bedrock to build upon.

Industrializing this continent isn't about skipping steps; it's about executing the fundamentals better and faster. If we want our factories to go toe-to-toe with global manufacturers, we have to start valuing the unsexy work of connectivity, data extraction, and infrastructure.

Thank you, Norfund, for the platform and the opportunity to engage with such forward-thinking leaders. The real work starts now.