Workforce Development and Training
When America works, economies grow, opportunity thrives, and communities prosper.
Workers need new and better pathways to quality careers. At the same time, businesses need top talent to compete — whether in their own communities or on the world stage. We solve both sides of the equation by bridging crucial communication gaps between business and education and harnessing new technologies to support a well-run talent marketplace.
We know that success must include those underserved by our outdated career and education systems. That is why we work to ensure our programs reflect the broad, diverse talent pool our nation offers.
Programs
There's really no more important asset to our country, to our communities, to companies — than talent.— Cheryl Oldham, Senior Vice President, U.S. Chamber Foundation
Skills-Based Hiring and Advancement
Employers are facing major challenges in closing their skills gaps, diversifying their workforces, and remaining agile in a rapidly changing global economy. As a result, many employers are pursuing skills-based hiring and advancement strategies. Learn about how the U.S. Chamber Foundation's T3 Innovation Network is providing a framework for matching employer needs with skills, and creating more opportunities for learners and workers.
TPM Case Study
As the gap between talent and employer needs increased in one of the fastest growing cities in Texas, greater:SATX recognized the need for investment in upskilling San Antonians.
Talent Finance
Hospitals around the United States have tried many financing models to recruit and retain more qualified nurses. A new financing initiative in Vermont is showing promise to improve the odds of success.
- Benefits Cliffs: Effects on Workers and the Role of EmployersWe examine benefits cliffs – the loss of eligibility for public safety-net programs and benefits they provide as income rises above eligibility limits.Learn More
- Training and Development Landscape StudySHRM and the U.S. Chamber of Commerce Foundation partnered to launch new research that explores the current training and development landscape.Learn More
- America Works InitiativeHelping your company and our country solve our workforce challenges.Learn More
Latest Content
Annual meeting brings together various industries to chart the path for the initative.
Cohort participants in four states will pilot the LiLAs, a universal, portable skilling investment tool, in their respective communities, empowering learners nationwide.
Elise Awwad, President and CEO of DeVry University, is a lifelong learner and passionate leader, championing education as a tool for challenging societal norms and achieving economic mobility, especially for women.
More than 70 million adults in the United States are skilled through community college, workforce training, bootcamps, certificate programs, military service or on-the-job learning, rather than through a bachelor’s degree. Learning and employment records (LERs) could play a critical role in advancing skills-based hiring practices and ensuring they are implemented equitably.
Skills-based hiring and advancement is the practice of evaluating a candidate beyond education credentials and experience requirements to assess a candidate’s unique skills, abilities and demonstrated competencies. At the 2023 Talent Forward, we asked ten industry leaders about how they are embracing skills-based hiring practices, and how employers can join the movement to build a more robust talent pipeline.
U.S. Chamber Foundation’s Hiring Our Heroes Spotlights Companies and Individuals with a ‘Commitment to Service’ at 13th Annual Awards Gala
As the world pivots towards a future that demands adaptability and diverse skill sets, the U.S. Chamber Foundation’s annual Talent Forward summit emerges as a cornerstone event that embodies the pursuit of a more prepared, agile, and prosperous workforce.
The U.S. Chamber of Commerce Foundation has recently named 13 new Talent Pipeline Management® (TPM) Fellows.
A human-centric, principled approach to help assess the risks of large language models
