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Google adds Yoruba and Hausa to AI-powered Search features

PLUS: MTN unveils plan to become an AI-first technology platform

Weekly Roundup

Hi Ayodele here,

This week’s developments: Smart Africa has launched a sovereign AI pilot across several countries, MTN has outlined plans to become an AI-first technology platform, and Google has added Yoruba and Hausa to its AI-powered Search features. Together, these updates highlight progress in infrastructure, enterprise adoption, and language inclusion..

Let us get into it. In this edition:

  • Smart Africa launches sovereign AI pilot with MeetKai across five nations

  • Google adds Yoruba and Hausa to AI-powered Search features

  • MTN unveils plan to become an AI-first technology platform

Around Africa

Smart Africa launches sovereign AI pilot with MeetKai across five nations

Smart Africa and AI tech firm MeetKai have officially launched a groundbreaking "Sovereign AI" pilot program across five African nations, including Rwanda and Senegal. Unveiled at MWC 2026, the initiative focuses on building localized Large Language Models (LLMs) that are specifically trained on national datasets to ensure cultural and linguistic accuracy. The project aims to provide government institutions with secure, private AI environments that don’t rely on external cloud infrastructures. By prioritizing data sovereignty, these nations can develop AI tools for public administration and healthcare while keeping sensitive citizen data within their own borders.

The pilot also includes specialized training for local developers to maintain and scale these sovereign systems independently. This move marks a significant step toward reducing Africa's reliance on Western-centric AI models. Ultimately, the program seeks to create a blueprint for a unified, secure digital framework that can be adopted by all 39 Smart Africa member states.

Why it matters

Sovereign AI is the key to digital independence. By building models that live and learn within the continent, Africa ensures that its AI future is governed by its own laws and reflects its own values, rather than being shaped by the biases of foreign dataset.

MTN unveils plan to become an AI-first technology platform

At MWC Barcelona, MTN Group outlined a bold vision to transform from a traditional telecommunications provider into a comprehensive AI-first technology platform. The strategy involves integrating artificial intelligence across its entire operation, from network optimization to personalized customer financial services via MoMo. MTN plans to use AI-driven predictive analytics to improve network reliability and reduce energy consumption in its thousands of base stations. The transition is part of their "Ambition 2025" plan, which seeks to create a unified digital ecosystem for millions of African users.

By leveraging AI, MTN aims to offer more targeted services in digital payments, insurance, and e-commerce, moving beyond simple voice and data packages. The company also emphasized its commitment to using AI to enhance cybersecurity and fraud detection for its growing mobile money user base.

Why it matters

When a giant like MTN pivots toward AI, the impact is felt across millions of users. This shift will likely accelerate the adoption of AI-driven financial tools in rural areas, making complex digital services as accessible as sending a text message.

Google adds Yoruba and Hausa to AI-powered Search features

Google has added Yoruba and Hausa to the languages supported by its AI Search features. Users can now ask questions and get AI summaries in these languages directly in Google Search. This brings the number of supported African languages to 13.
The languages were chosen based on search activity across Africa. Hausa and Yoruba are among Nigeria’s most widely spoken languages. Adding them helps people use search in the language they are most comfortable with. Users can type or speak questions in the Google app using these languages. The update is part of Google’s effort to make AI tools more useful for African users.

Why it matters

For AI to be truly useful, it has to speak the language of the people. By adding Yoruba and Hausa, Google is ensuring that the most sophisticated AI tools are no longer reserved for English speakers, opening up the world of digital assistance to over 100 million people.

Around the world

OpenAI Releases GPT-5.3-Instant with Improved Emotional Intelligence

OpenAI has officially rolled out GPT-5.3-Instant, a model specifically fine-tuned to reduce "robotic" and dismissive safety reframing. This update addresses long-standing user feedback regarding the AI’s tendency to offer unsolicited advice or tell users to "calm down" during complex debates. The new model prioritizes directness and neutrality, aiming for a more professional and less condescending interaction style. By refining the model's emotional tone, OpenAI hopes to make the assistant feel more like a high-level coworker than a programmed chaperone.

Anthropic Adds Voice Mode to "Claude Code" for Hands-Free Engineering

In a major update for developers, Anthropic has integrated a sophisticated Voice Mode into its specialized coding environment, Claude Code. This allows engineers to dictate complex refactoring commands or ask architectural questions without taking their hands off the keyboard. The system is designed to understand technical jargon and code syntax through natural speech, making it easier to navigate massive codebases during deep work sessions. It marks a shift toward "multimodal" programming, where voice and text work together to accelerate the development lifecycle.

Claude Gets a Memory Boost: Anthropic Launches Knowledge Importing

Anthropic has unveiled a significant upgrade to Claude’s long-term memory capabilities, allowing users to "import" entire sets of personal or professional knowledge bases. This feature enables the AI to retain context across weeks of conversations, effectively learning your specific writing style, project history, and technical preferences. Unlike standard retrieval, this "persistent memory" ensures that the AI doesn't "forget" crucial details once a chat session ends. For researchers and project managers, this means the assistant becomes increasingly specialized the more you work with it.

Around the Web - Top Picks

  • The "Consequential" Shift to Claude Cowork

    AI strategist Eric Partaker argues that Anthropic’s new Claude Cowork is has yielded the most significant shift in productivity since the invention of the spreadsheet. By allowing the AI to actually "work" alongside you across multiple applications rather than just answering prompts in a chat box, Cowork moves AI from a research tool to an active project manager. This evolution marks the transition from "Generative AI" to "Agentic AI," where the model takes over the friction of execution.

    Read the full article here

  • The "Extinction Event" for Generic AI Startups

    A Google VP issued a stark warning this week regarding the survival of AI startups in 2026. The analysis suggests that two specific types of companies are at risk: "Wrapper" startups that offer thin layers over existing LLMs without proprietary data, and those focused on generic productivity tools that big tech is now baking directly into operating systems. To survive, the message is clear: startups must find deep, industry-specific "moats" or solve hardware-software integration problems that the giants aren't touching.

    Read the full article here

Seen This?

Anthropic analyzed millions of Claude conversations to see how AI is actually used at work. Results show AI is only used at about 5% of its potential, with programmers (75%) and customer service (70%) most affected.

Upcoming African AI Events

Deep Learning IndabaX Uganda 2026
Date: March 23–27, 2026
Location: Silver Springs Hotel, Kampala, Uganda
Theme: Building a Responsible AI Ecosystem for Sustainable Innovation. This 5-day intensive event features a "Spring School" on Agent-Based Modeling, tutorials on LLMs, and research presentations aimed at fostering local impact through AI

AI4EAC 2026 - 4th EAC Regional STI Conference
Date: March 4–6, 2026
Location: Kigali, Rwanda
Theme: This is a major regional gathering focusing on AI-driven innovation in healthcare, education, and agriculture. It’s particularly relevant for policy dialogue and scientific collaboration in East Africa.

Deep Learning IndabaX Nigeria 2026
Dates: May 11–14, 2026
Location: University of Ibadan, Nigeria
Theme: Strengthening the Nigerian AI ecosystem through grassroots knowledge sharing. This event focuses on deep learning research, practical workshops on Large Language Models (LLMs), and fostering collaboration among students, researchers, and industry professionals across West Africa.

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