Chinese smartphone manufacturers are accelerating the rollout of artificial intelligence features tailored specifically for emerging markets, with Africa serving as the primary proving ground. Rather than relying exclusively on cloud-dependent global models, Shenzhen-based Transsion Holdings—whose brands include Tecno, Infinix, and itel—is adapting AI to address linguistic diversity, erratic connectivity, and device affordability.
Tailored models and dialect support
At Mobile World Congress in March 2026, Tecno presented upgrades to its Ella virtual assistant under what it calls a "Practical AI" strategy. According to company data, Tecno processed more than 500 million user AI requests in 2025, including approximately 100 million image-processing tasks, with more than half of all interactions conducted in non-English languages. Tecno expanded Ella's speech capabilities to Hausa and Swahili, alongside Arabic dialects and African-accented English and French.
Sister brand Infinix has similarly embedded its Folax assistant into devices like the Note and Hot series, integrating voice commands and local translation. In May 2026, Tecno launched its localised AI in Kenya, with an offline mode and tools that turn long documents and videos into short study notes for students. To manage intermittent mobile data, Chinese original equipment manufacturers have worked with chipmakers MediaTek and UNISOC to run lightweight inference on entry-level silicon, enabling offline voice processing, camera optimisation, and optical character recognition.
Market realities and cost pressures
Consumer appetite for AI services across developing regions has expanded rapidly. A July 2025 DataReportal report ranked Kenya first in the world for ChatGPT use: 42.1% of its internet users aged 16 and over had used it in the past month. To capture this momentum, manufacturers are expanding partnerships: Tecno collaborated with Google Cloud to leverage Gemini models, while Honor outlined plans at MWC 2026 to connect over 20,000 regional and global AI services to its ecosystem by the end of 2026.
However, infrastructural and economic hurdles remain substantial. In August 2026, Omdia reported that African smartphone shipments fell 7% year-on-year in the second quarter of 2026, with the sub-$100 segment plunging 34%. Analysts attributed the drop to rising memory costs driven by global AI data centre expansion, which pushed the average selling price of phones in Africa up by $41 year-on-year to $202. The contraction poses a dilemma for vendors trying to bring sophisticated AI to price-sensitive buyers without rendering entry-level handsets unaffordable.
Why it matters
Tailoring AI to local languages and offline usage addresses the structural barriers of literacy and spotty infrastructure across the Global South. However, rising component costs caused by the global AI infrastructure race threaten to make budget smartphones less accessible, challenging vendors to keep these localised innovations within reach of ordinary users.
