“AI-powered role-plays give learners unlimited practice, real-time feedback, and the freedom to explore any scenario imaginable. It’s a new level of confidence-building.”
Interview with Mona Mourshed, Founding Global CEO of Generation, Washington, D.C.
As the global job market evolves, workforce development must go beyond teaching technical skills to address real-world barriers and long-term career success. Mona Mourshed, Founding Global CEO of Generation, a global nonprofit that trains and places adults into otherwise inaccessible careers, explains how the organization equips its students with the skills, support, and resilience to thrive. In this IFC interview, Mourshed discusses the role of employer partnerships, the integration of AI-driven training, and the importance of holistic, durable outcomes in preparing graduates for a rapidly changing world of work.
The jobseekers your nonprofit serves may face multiple challenges, from mental health concerns to finding childcare or transportation to the worksite. How do you create programs that deliver results?
Generation’s approach to supporting learners goes far beyond teaching technical skills. While the organization began in 2015 with youth programs, we now serve mid-career adults in their 50s, 60s, and 70s as well. And across all segments, many of our students struggle with childcare, transportation, housing, and financial insecurity.
To address these challenges, Generation uses a seven-step model that starts with employers to make sure our training programs match real job requirements. As learners apply for training programs, the team identifies individual risk factors and, when needed, helps them stabilize before beginning training. During the six- to sixteen-week programs, our mentors support students academically and personally. We also prepare them for interviews and continue mentorship for three to six months after they start working, which is a critical period for long-term success.
These supports are essential given that 90 percent of participants are unemployed when they join, more than half have been out of work long-term, and many struggle to meet daily needs. Still, within three to six months of completing the program, 83 percent are employed, demonstrating the impact of a model designed to remove barriers, build confidence, and support learners well beyond the classroom.
What are the most significant lessons that you have learned from expanding Generation globally?
One major lesson from scaling across countries is knowing what should stay consistent and what needs to be adapted. Our seven-step methodology remains constant everywhere—this is the “what.” But the “how” shifts based on local context. Recruitment may rely on social media in one country and door-to-door outreach in another. A Java developer role is fundamentally similar across Kenya, Mexico, and the UK, but employer expectations may vary by about 20 percent, and programs adjust accordingly. In some countries, Generation partners with governments and trains publicly funded providers to deliver the model; in others, it delivers programs directly. Even with these differences, we have learned that far more is universal than context specific.
How is Generation preparing learners for workforce disruption driven by AI, automation, and changing labor-market demand?
Generation is preparing for workforce disruption—whether from AI, automation, or entirely new job categories—by closely tracking labor-market trends and proactively evolving our training programs. Every day, the organization scrapes job vacancy data by city and profession to monitor where hiring demand is rising or falling. If entry-level roles in a particular field begin to decline, Generation slows its cohorts; if new opportunities emerge, we pivot quickly. Green jobs, for example, are growing from a small base, so Generation is actively identifying employers and positioning itself as an early talent pipeline. Conversely, entry-level tech roles are declining across many countries, so the team adjusts pacing and explores more resilient alternatives.
AI-specific adaptation is happening on two levels. First, Generation has created a generalist AI module now embedded across all 40-plus professions we offer. Second, for roles where AI tools are already central—such as digital marketing, sales, and software development—Generation has built full AI-enhanced tracks that train learners to use tools like Gong and GitHub Copilot. These AI modules are being offered not only to current learners but also to alumni, meeting high demand for upskilling among past graduates.
At the same time, Generation is expanding into professions that are more “AI resilient”—fields like skilled trades, healthcare, and certain green jobs—while still adjusting programs in AI-exposed roles like tech, customer service, and sales.
How does employer feedback shape curriculum development?
Employer feedback is central to how we design, update, and validate our curriculum. When launching a new profession, the team begins with “activity mapping,” a process that involves visiting multiple employers to understand the 30 or so tasks someone in that role performs daily. They dig deeper to identify which of those tasks distinguish high performers from lower performers, and they don’t rely solely on managers—they interview and observe employees across performance levels to learn what actually drives success on the job. This ensures that new programs prepare learners to be productive from day one.
Once graduates are placed, employer input continues to shape the curriculum. Generation collects continuous feedback during the placement process, conducts annual employer surveys, and tracks repeat hiring as a key indicator of satisfaction. About 70 percent of employed graduates are hired by companies that return for more talent, and over 90 percent of employers report that Generation graduates perform as well as their peers. These insights, paired with real-time labor-market analysis of job vacancies, guide ongoing refinements and help ensure each program stays aligned with employer needs and evolving industry expectations.
What innovations in EdTech is Generation most excited about for future programs?
We are most energized by EdTech innovations that dramatically increase the speed and quality of skill mastery—especially AI-powered practice tools. Because learners often enter programs with no prior experience and need to be job-ready within six to sixteen weeks, intensive practice is essential. Traditionally, that meant person-to-person role plays, but AI is transforming this model.
The team is now building AI-driven role-play simulations that let learners practice scenarios, such as handling difficult customer interactions. The system can shift tone, escalate tension, or simulate different personalities, all for a fraction of the cost of live practice and accessible anytime, anywhere. AI-powered role-plays give learners unlimited practice, real-time feedback, and the freedom to explore any scenario imaginable. It’s a new level of confidence-building.
These AI role plays also help Generation mirror real employer challenges more precisely. If companies report new issues—like a spike in passive-aggressive customers or more complex sales objections—the scenarios can be updated instantly. This kind of AI-enabled practice is one of the innovations Generation sees as most promising for the future: scalable, adaptive, low-cost tools that help learners gain mastery quickly and bravely step into new careers.
This interview has been edited for length and clarity.
Published in December 2025.
Mona Mourshed is the founding CEO of Generation: You Employed, a global nonprofit organization that supports adults to achieve economic mobility. Generation trains and places adult learners of all ages into careers that are otherwise inaccessible, delivering sector-leading employment and income results consistently across 17 countries and 40 professions. Mona has authored widely cited reports and articles on education, workforce, and social sector impact measurement, and she previously founded and led McKinsey & Company's global education practice. She is a Draper Richards Kaplan Foundation Entrepreneur. Mona has a B.A. from Stanford University and a Ph.D. from MIT.