Meaningful AI May Matter a Lot More than Powerful AI

By Donghun Lee

In little more than a decade, artificial intelligence has transitioned from an obscure terminology to a central component of global business discourse. Today, hardly any corporate strategy, product launch or policy speech is complete without reference to AI. But as the term proliferates, its meaning risks dilution because for many consumers, particularly in emerging markets, AI is yet to transform into tangible improvements in their daily lives.

This matters because we are entering a period in which technology will increasingly shape how societies respond to fundamental pressures, including population growth, urbanisation, constrained resources and rising expectations for quality of life. By 2050, Africa’s population alone is projected to approach 2.5 billion, exacerbating existing pressures. The choices we make now about how technology is designed, deploye,d and governed will determine whether innovation becomes a force for inclusion or another layer of inequality.

Against this backdrop, we need to question whether AI should be powerful or meaningful. Meaningful AI starts from lived realities, and in Africa, like many other parts of the developing world, solutions generally gain traction when they are affordable and clearly useful. Mobile connectivity, digital payments like M-Pesa and off-grid energy systems have scaled so rapidly across the region because they addressed real constraints with practical outcomes.

The same discipline must apply to artificial intelligence because an AI-enabled product that adds cost and complexity without addressing a concrete need does little to advance human progress. By contrast, intelligence that quietly improves efficiency can have outsized impact.

For Africa, energy is a case in point. Across much of the region, electricity supply remains uneven and expensive. In such an environment, meaningful AI becomes about optimisation. Technologies that learn usage patterns, stabilise appliances against voltage fluctuations or reduce power consumption during peak hours directly strengthen household and business resilience. We have seen this firsthand at LG, through products like our latest refrigerators with smart-inverter compressors that are proving popular because they deliver measurable savings and reliability.

However, efficiency alone is not enoug because for these gains to translate into lasting impact, AI must be deployed in ways that are transparent, context-aware and worthy of public trust. Trust, indeed, is foundational as AI systems increasingly rely on data, and consumers are rightly asking how information is collected, used and protected. In markets where regulatory frameworks are still evolving, companies must take the lead in embedding privacy, security and accountability into product design.

There is also a broader economic consideration that is often overlooked in global AI discussions. Much of the prevailing narrative assumes an abundance of data, computing power and capital. But regions like East Africa operate under different conditions. Here, meaningful AI must be efficient by design with solutions that run on-device, function offline or extend the lifespan of existing hardware standing out. This is the direction we, at LG, are pursuing, with the products we introduce into the region intentionally designed to operate even in rural homes and workplaces, making them more livable and productive.

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The writer is the President of LG Electronics East Africa