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EDA details AI Upskill Accelerator: $1M–$8M awards, 60% federal share; applications due July 10

Economic Development Administration (EDA) · June 8, 2026
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Summary

In a technical assistance webinar EDA described its AI Upskill Accelerator addendum: awards of $1–8 million (4–8 grants anticipated), a 60% federal investment limit (40% required match), three project phases, and a July 10 application deadline at 4:59 p.m. Eastern.

The Economic Development Administration on a technical assistance webinar outlined its AI Upskill Accelerator addendum, a pilot under the Public Works Economic Adjustment Assistance Program that will fund employer‑led regional workforce projects to teach practical, job‑ready artificial intelligence skills.

Carla Garrett, EDA’s workforce lead in the Office of Innovation and Entrepreneurship, said the agency expects to make four to eight grants ranging from $1 million to $8 million and “does not anticipate making any one award in excess of $8 million.” She added that the federal share is capped at 60 percent, requiring applicants to provide at least 40 percent in matching resources.

The program centers on sectoral partnerships that tie training to employer demand. Garrett told attendees that projects may begin in any of three sequential phases—system development, program design and program implementation—but applicants must demonstrate completion of earlier phases if they are omitted. “Program implementation is required for all applications,” she said.

The agency set other program limits and expectations: awards are expected to run 24 to 36 months; training must begin within one year of the award start date; selected projects will face reporting requirements, including financial and progress reports during the period of performance; and reporting on scope‑of‑work goals may continue for up to five years after an award.

Garrett stressed the narrative requirement known as “special need”: applicants must explain why AI training is needed in their chosen industry and region, for whom it is needed, and how the proposal ties to employer demand with specific, evidence‑based examples. “If any one of the items with special need is missing or vague, there may not be enough information included for the application to be considered,” she said.

EDA encouraged applicants to align activities and budgets carefully: each proposed activity should have a corresponding budget line and a plausible cost‑per‑participant and scale. The agency also recommended strong employer validation—such as signed commitment letters—so reviewers see that employers will meaningfully participate.

The notice of funding opportunity and the AI addendum contain the full requirements and example tables EDA recommends applicants use. The webinar was recorded and the slides will be posted on EDA’s website; EDA staff said the application deadline for the AI addendum is July 10 at 4:59 p.m. Eastern Standard Time and provided contact guidance at oie.gov for follow‑up questions.

Next steps: EDA will host additional technical assistance webinars on budgeting and submission best practices and on data, impact and evaluation; those resources and the webinar recording will remain available during the open competition period.