Closing the AI talent gap where it's widest adds $212 billion to the global economy.

Technovation AI Forward Alliance is a community of practice uniting companies, foundations, NGOs, ministries of education, and governments around one goal. We are preparing 25 million young women to build with AI. We start where the talent gap is widest because our research shows that's where the return is highest.

Join the Alliance
→
Technovation participants at the 2024 World Summit Pitch Awards

Technovation has reached 500,000 builders across 160+ countries.With you, our alliance will reach 25 million.

What a decade of spending got wrong

Fewer than 1 in 200 workers build technology, and every company deploying AI recruits from an even smaller talent pool. Women are the largest source of untapped talent1 despite over a decade of coding programs for young women.2 The risk is also rising: in high-income countries, 9.6% of women’s jobs are highly exposed to AI automation, compared with 3.5% of men’s.3 So why hasn’t the gap moved?

Three common approaches reach a lot of students and change very little:

Self-paced courses that learners finish alone

 Free online courses often achieve scale, but Harvard and MIT's own data showed completion rates stayed low for six years straight, and most learners never came back after their first year.4 Over 90% of online learners struggle with self-discipline and motivation.5

Advice without relationship

Q&A platforms, one-time career talks, and AI mentoring deliver advice to many students at low cost. But the benefit of mentoring comes from the relationship. We see this in Technovation’s programs, and it bears out in external research. In a study of 1,138 young people, those whose mentoring relationships lasted a year or longer showed the most improvement, and the effects shrank the earlier a mentoring relationship ended.6

AI literacy with no problem to solve

 Most AI literacy stops at passive understanding. Builders who solve a problem they care about leave with a working product, practice applying judgement to real problems, and the confidence to build the next one.7 8 9 10

What works

Four ingredients have to come together for skills to last: role models, real-world projects, lasting mentorship, and a community to belong to.

Technovation AI Forward Alliance brings together these ingredients in one system.

Start with one builder

It costs about $48 to train one builder through Technovation's three-month program at national scale. Paired with a mentor, she has a 71% chance of pursuing a career in tech,11 where she earns 4 to 6x as much as she would in a service role.

This path, repeated at scale, doubles the number of women working as tech professionals from 4 million to 8 million by 2038 and adds about $212 billion to the global economy.

Figures on this page come from our 2024 Women in AI report unless footnoted.

Download the report
→

Empowering Change

Built by the Alliance

In 2024, Saïd Business School, University of Oxford, joined the Alliance as its academic partner. Together we built An AI Economy: Strategy, Leadership and the Innovator's Path, an online executive program for Technovation mentors, alumnae, and Women Techmakers. Explore the Oxford program →

In 2025, Technovation launched a new accelerator in collaboration with Generation Unlimited. In its first year, it welcomed over 1,000 founders and resulted in 250+ AI startups. Explore the Accelerator →

What builders make

SAMRUQ.AI team with their mining safety system

A warning system for miners before disaster strikes.

SAMRUQ.AI reads methane, temperature, and pressure underground and uses AI to tell crews when to get out.

Read more →
Emergen medical profile app

A medical profile anyone can scan in an emergency.

Emergen puts a person's medical history behind a code that first responders can scan without an app or a passcode.

Read more →
DiAssist team with their diabetes app

A diabetes coach that starts with a photo of lunch.

DiAssist helps teens snap a picture of a meal to get nutrition info they need to manage blood glucose.

Read more →

The alliance in action

Every year since 2023, we have brought the people shaping AI to the United Nations. Daphne Koller on AI in drug discovery. Manuela Veloso on AI in finance. Côte d’Ivoire’s Minister of National Education on building AI skills across a national school system. NYU’s Robert Seamans on which jobs AI will change most. Panels share the stage with build sprints, and executives get to see the talent they’re looking for at work.

Technovation AI Forward Alliance members

Each member brings its knowledge, network, or capital to a different part of the pipeline.

UNICEF
TE Connectivity
Grameen Foundation
EY
Google
Patrick J. McGovern Foundation
Shopify
Responsible AI UK
ServiceNow
Generation Unlimited
App Inventor Foundation
Oxford Saïd Business School
Join the Alliance
→
See noted research and sources →
  1. International Labour Organization (ILOSTAT) data, as reported in Women in AI, Technovation AI Forward Alliance, 2024, p. 5. View source
  2. National Center for Education Statistics, Digest of Education Statistics, Table 318.30, as charted by Randal S. Olson, 2026. View source
  3. International Labour Organization, Generative AI and Jobs: A Refined Global Index of Occupational Exposure, Working Paper 140, May 2025. View source
  4. Justin Reich and José A. Ruipérez-Valiente, "The MOOC Pivot," Science, 2019. View source
  5. Badali et al., Research and Practice in Technology Enhanced Learning, 2022. View source
  6. Jean B. Grossman and Jean E. Rhodes, "The Test of Time: Predictors and Effects of Duration in Youth Mentoring Relationships," 2002. View source
  7. Anna Saavedra et al., Project-Based Learning Boosts Student Achievement in AP Courses, Knowledge in Action research brief, College Board. View source
  8. Leo Porter, Mark Guzdial, Charlie McDowell, and Beth Simon, "Success in Introductory Programming: What Works?," Communications of the ACM, 2013. View source
  9. Zhang Lu and Ma Yan, "A study of the impact of project-based learning on student learning effects: a meta-analysis study," Frontiers in Psychology, 2023. View source
  10. Technovation, 2025 Season Impact Report. View source
  11. A. Cheuoua and J. Liu, Technovation Girls Alumni Survey Report, WestEd, 2020, p. 4. View source