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Webinar Update
Webinar W006: The Brain Drain Crisis — Keeping AI Talent at Home was completed on Saturday 20 June 2026. The webinar examined why AI graduates leave developing countries and what academies and governments can do to retain them — including building entrepreneurship ecosystems, alumni networks, and local employer partnerships. A video on this topic will be uploaded soon to YouTube channel @AIGrandad999.alanross and to our 10 language-specific channels. We encourage you to view and share these with your networks.
Our next free webinar - W007- is on Saturday 4 July 2026 at 1pm Dublin (BST) on the topic: "Digital Infrastructure- The Foundation that AI Needs." This webinar will show why connectivity, compute, and data infrastructure are the essential prerequisites for every AI training ambition - and what strategies actually work in resource-constrained environments.
Global Skills & Education
1. UNESCO GLOBAL SKILLS ACADEMY EXPANDS TO FIVE NEW COUNTRIES — THE MODEL YOUR ACADEMY SHOULD REPLICATE
UNESCO's Global Skills Academy has achieved a landmark milestone in Kenya: over 5,300 teachers and students have been trained and certified in AI and digital skills as of end of May 2026, representing 100% participation from Kenya's national TVET system. UNESCO has now confirmed the programme will expand to five additional countries: Ghana, India, Malaysia, Uganda, and Tanzania. The overall programme target is to train and certify 500,000 teachers and students in AI and digital skills globally by the end of 2026. The curriculum equips educators to use AI responsibly and effectively while preparing students for a labour market undergoing rapid AI-driven transformation. The programme is designed to be adopted within existing education systems and adapted to local language and cultural contexts.
Why this matters and opportunities for AI academies: This is the most significant AI education programme operating in developing countries right now - and it is directly relevant to AI academies. The five countries joining the UNESCO expansion represent major teaching opportunities for established AI academies in those regions. AI academies in Ghana, Uganda, and Tanzania should engage their UNESCO country offices immediately to explore partnership roles in the programme's expansion. Academies in countries not yet included should use the Kenya success data (5,300 trained, 100% TVET participation) to make the case to their governments for equivalent national programmes. The UNESCO-Oxford MOOC that underpins the programme is freely available — any WAAA academy can begin using it in its curriculum today, without waiting for the formal programme expansion.
Sources: UNESCO Global Skills Academy / Kenya TVET
AI Models & Resource Constraints
2. MINIMAX M3: A NEW AI MODEL AT 1/20TH THE COST — WHAT THIS MEANS FOR RESOURCE-CONSTRAINED ACADEMIES
Chinese AI company MiniMax this week released its M3 model, built on a novel Sparse Attention architecture that reduces per-token compute requirements to just 1/20th of equivalent previous models. The M3 supports contexts of up to 1 million tokens (meaning it can read and reason across entire textbooks in a single session), delivers 9x faster prefilling, and 15x faster decoding at 1 million token context lengths. Performance benchmarks show the model matches or exceeds comparable models from OpenAI and Anthropic on standard reasoning tasks, at a fraction of the cost. The model is accessible via API, with pricing reflecting its dramatically lower compute demands.
Why this matters and opportunities for AI academies: Cost has been one of the most significant barriers to AI adoption in developing-country academies. MiniMax M3 directly addresses this: a model at 1/20th the compute cost means that what previously required significant cloud computing budget can now be delivered at modest cost. For AI academies with limited infrastructure, this opens new options: AI tutoring systems that were previously unaffordable, code generation tools for student projects, multilingual content creation at scale. Curriculum directors should experiment with M3 APIs now. The 1 million token context also has a specific educational use case: students can upload entire course notes, textbooks, or exam papers and engage in deep dialogue with the content — a genuine learning enhancement that is now affordable.
Sources: MiniMax M3 release / llm-stats.com
AI Literacy & Curriculum
3. GOOGLE SEARCH TRANSFORMED BY AI — THE CASE FOR AI LITERACY IN EVERY CLASSROOM IS NOW UNANSWERABLE
Google this week deployed Gemini 3.5 Flash as the engine powering its new AI Mode in Search — described by the company as the biggest change to Google Search in over 25 years. Every person in the world using Google Search now receives AI-generated responses as their default experience. At the same time, OpenAI released GPT-5.5 Instant, which achieves a 52.5% reduction in hallucinated claims compared to its predecessor — addressing the accuracy concerns that have been the primary pedagogical objection to student AI use. More than 1.3 million new AI-related job roles have been created globally since these tools entered mainstream use, with digital-skills job postings in LMICs offering on average 7.7% higher wages than equivalent roles without digital skill requirements.
Why this matters and opportunities for AI academies: Your students already use Google Search. From this week, they are now interacting with AI every time they do so - whether they know it or not. This is no longer a future curriculum question: it is an immediate one. AI literacy - understanding how AI-generated responses are created, how to evaluate them critically, when to trust them and when to verify- is now a minimum competency for any educated person. AI academies that have not yet introduced AI literacy modules should prioritise this immediately. Academies that have should expand them. The 7.7% wage premium for digital skills in LMIC job markets means your graduates' economic outcomes are directly improved by the quality of AI education you provide.
Sources: Google Gemini 3.5 Flash / OpenAI GPT-5.5 / WEF Digital Skills Report
No-Code/Low-Code Market
4. NO-CODE AND LOW-CODE AI: THE $30 BILLION MARKET YOUR GRADUATES SHOULD BE BUILDING IN
New 2026 market data confirms that the low-code/no-code development market has exceeded $30 billion and continues rapid growth. 70% of new enterprise applications are now built using no-code or low-code platforms. 80% of users of these tools are outside formal IT departments — business owners, entrepreneurs, educators, and domain specialists who can now build functional AI-powered applications without writing traditional code. Organisations using these platforms report up to 90% reduction in development time and average annual savings of $187,000. The number of AI-specific no-code platforms has expanded dramatically: tools that allow anyone to train, deploy, and manage machine learning models without coding are now widely accessible and increasingly affordable.
Why this matters and opportunities for AI academies: This is an urgent curriculum signal. The narrative that 'AI development requires years of programming training' is no longer accurate. AI academies should be teaching no-code and low-code AI tools alongside traditional programming- because the market for graduates who can build practical AI solutions using these platforms is now larger than the market for those who can only write code from scratch. For academies in countries where programming literacy is low, no-code AI opens an entirely new talent pipeline: people with domain expertise in agriculture, health, finance, or logistics can become AI product builders. This is exactly the kind of leapfrogging opportunity WAAA exists to support.
Sources: No-Code Statistics 2026 / codeconductor.ai / Integrate.io
Global AI Governance
5. G7 ÉVIAN AI GOVERNANCE — DEVELOPING COUNTRY VOICES MUST BE HEARD
The G7 summit in Évian, France (June 15–17) held an unprecedented AI governance session with the CEOs of OpenAI, Anthropic, and Google DeepMind. The meeting updated the Hiroshima AI Process- the G7's voluntary, risk-based framework for AI governance — and discussed child safety, voluntary security reviews for frontier models, and multi-stakeholder governance principles. The framework remains largely non-binding: the G7 nations coordinate voluntarily, and the major AI companies participate by goodwill rather than legal obligation. No developing country representatives participated in these discussions, despite the developing world being home to the majority of the next billion AI users.
Why this matters and opportunities for AI academies: The governance frameworks being established at G7 level will shape what AI tools your students can access, what data protection standards apply, and what safety requirements frontier models must meet. AI academies have a legitimate and important voice in these discussions: you work directly with the populations most affected by AI's social disruption, in the countries most underrepresented in global governance. WAAA members should engage with UNESCO's AI Ethics discussions, with the ITU's AI for Good process, and with their national delegates to the UN Global Dialogue on AI Governance (Geneva, 6–7 July). Academic institutions carry credibility in these forums that governments and companies do not — use it.
Sources: G7 Évian AI Session / AI Governance Lead Substack
