Google and ITU Offer 100,000 AI Skills Scholarships Across 80 Countries

Google and ITU Offer 100,000 AI Skills Scholarships Across 80 Countries

September 22, 2026

Google and the International Telecommunication Union have announced 100,000 certificate scholarships for practical AI and digital-skills training across more than 80 countries. The program is part of the ITU’s AI Skills Coalition and is intended for students, educators, job seekers, entrepreneurs, small-business owners, and public servants.

Google says the scholarships will complement a catalogue of more than 200 courses and will be delivered through local governments and partners, including the ITU-UNICEF Giga initiative, which works with governments to connect schools. The stated goal is to make training more accessible to people who want to use AI but do not know where to start.

This is a substantial reach commitment, but scholarship counts alone do not show whether people can use the skills in their work. The program’s own announcement says it will track activation, participation, completion, certificates earned, and whether learners apply skills in education, employment, and public service. Those measures will matter more than the headline allocation.

Access is only the first step

A course can lower the barrier to learning, but learners still need reliable internet, time, language support, accessible materials, and a device capable of running the tools being taught. Local delivery may help adapt instruction to workforce needs, though quality can vary across partners and countries. A certificate can signal course completion; it does not automatically demonstrate job readiness.

The collaboration also arrives as employers and governments face a widening gap between AI adoption and practical understanding. Workers need to know what AI tools can and cannot do, how to check outputs, what data should not be entered, and when a human must make the final decision. Basic AI literacy should include these limits and risks, not only prompt-writing techniques.

How to judge the program

A useful public progress report would distinguish enrollment from course completion, and completion from applied outcomes. It could show who is being reached by age, geography, gender, disability access, and employment status, while protecting learners’ privacy. Outcomes might include educators using materials in class, job seekers demonstrating relevant skills, or public agencies improving a service with documented human oversight.

The program should also explain how its courses handle changing tools. Skills built around a single vendor interface can become outdated quickly. Transferable competencies—evaluating accuracy, protecting sensitive information, designing workflows, and documenting AI-assisted work—are more durable.

Google reports survey findings that hands-on training can make people more confident with AI, but these are not evidence that this particular scholarship program has already improved employment or public services. Its future reports should make the evaluation methods clear and distinguish company research from independent assessment.

Why this matters

The AI skills gap is not just a training problem. It affects who can benefit from new tools, who is exposed to errors, and who has a voice in how AI is introduced at work. A large scholarship program could broaden participation if the training is practical, locally relevant, and connected to real opportunities.

The program begins with a measurable promise: 100,000 scholarships across more than 80 countries. The next milestone is transparent reporting on who actually receives them, who completes the training, and what learners can do afterward.

Sources

• Google: Investing in global talent and AI literacy
• ITU AI Skills Coalition
• ITU: AI for Good
• UNICEF Giga