The MATCH Act of 2026 amends the Workforce Innovation and Opportunity Act to define and authorize “talent marketplaces” — public and private platforms that combine learning-and-employment records (LERs), credential registries, and skills‑profile generators using standardized terminology and, where relevant, open interoperable standards. The bill creates a Workforce Data Quality Initiative that directs the Secretary of Labor to award grants to states or multistate consortia and sets priorities and allowable uses for those grants.
This matters because the legislation shifts federal workforce policy toward digital, standards-based labor market infrastructure: it ties federal grant dollars to state data systems, mandates consumer-oriented public websites for program comparison, and builds incentives for interstate data sharing. The result will change how jobseekers are discovered, how credentials are described, and how training program performance is measured — while raising practical questions about privacy, standard-setting, verification, and ongoing costs for states and providers.
At a Glance
What It Does
Adds statutory definitions for talent marketplaces, credential registries, learning-and-employment records, skills profile generators, and standardized terminology. Establishes a Workforce Data Quality Initiative that uses 5–10% of certain WIOA funds to grant states or consortia money to build interoperable data systems and talent marketplaces.
Who It Affects
State workforce agencies and governors, WIOA core program administrators, multistate data collaboratives, employers and HR platforms that will consume LER data, credentialing bodies and training providers that must map credentials to common terminology, and jobseekers who use the marketplaces.
Why It Matters
It creates a federal push for standardized, machine‑readable workforce data and channels grant funding to build it — improving labor market transparency but forcing trade-offs among interoperability, privacy compliance, verification burdens, and state implementation capacity.
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What This Bill Actually Does
The bill inserts a detailed set of definitions into WIOA that make “talent marketplace” a covered concept in federal workforce law. A talent marketplace, as defined, must be publicly available and combine three technical pieces: a learning-and-employment record (a machine-readable, user-controlled history of education and work that may include self-attestation plus verification), a credential registry (a repository where providers publish credential descriptions using standardized terms), and a skills profile generator.
The definitions require use of ‘standardized terminology’ tied to a publicly available skills framework so that records and registries can be used for automated matching.
To build these systems, the bill creates a Workforce Data Quality Initiative under section 169, reserving between 5 percent and 10 percent of the funds available under a specified portion of WIOA (section 132(a)(2)(A)) to award competitive grants. Applications must include a needs assessment, budget, outcome metrics, security and privacy procedures, sustainability plan, and an interoperability/portability plan that uses open standards.
The statute lists permitted uses ranging from enhancing longitudinal data systems and creating talent marketplaces to participating in multistate collaboratives and building data exchanges with standards-based job and credential data.The bill sets priorities: priority goes to states that have not previously received such grants and to multistate consortia that include at least one high-need state, and it favors projects that commit to linked, publicly available skills and credential data and to contributing to multistate data collaboratives. Grants may last up to three years, must supplement rather than supplant other funds, and require a report within 180 days after the grant ends describing activities and improvements.On the consumer side, the bill amends program-listing rules so governors can establish a talent marketplace and requires that program and marketplace information be published on consumer‑tested, searchable public websites using common, linked, open-data descriptive language while protecting personally identifiable information.
The Department of Labor must provide technical assistance on building compliant, user-friendly websites. Finally, the Wagner‑Peyser Act assistance list is amended to add establishing a talent marketplace as a labor exchange assistance activity — explicitly folding talent marketplace work into existing public labor exchange responsibilities.Taken together, the statute creates federal expectations (and funding incentives) for standardized, portable workforce data, while leaving important design choices — which skills frameworks, what interoperability standards, verification protocols, and governance models — to states, consortia, and their vendors.
The Five Things You Need to Know
The bill defines a talent marketplace as a public platform that must incorporate a learning-and-employment record, a credential registry, and a skills profile generator that use standardized terminology.
It requires learning-and-employment records to be digital, machine‑readable, permit individual control and use for matching, allow self‑attestation plus third‑party verification, and employ standardized terminology.
The Workforce Data Quality Initiative directs the Secretary to use not less than 5% and not more than 10% of funds available under WIOA section 132(a)(2)(A) to award grants for state workforce data systems and talent marketplaces.
Grant applicants must include privacy/security plans, interoperability and portability strategies based on open standards, sustainability plans, and must report to the Secretary within 180 days after the grant period ends.
The bill makes establishing a talent marketplace an explicit State option under WIOA program lists, requires consumer‑tested, searchable public websites using common linked open-data language, and directs DOL to provide technical assistance.
Section-by-Section Breakdown
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Short title
Provides the Act’s short titles: the Modernizing Access to Talents, Credentials, and Hiring Act of 2026 and MATCH Act of 2026. Practically this is the bill label but also signals the legislative focus on matching talent to opportunities and on digitized credentials and records.
Lays out technical building blocks for talent marketplaces
The bill adds granular statutory definitions for 'talent marketplace', 'credential registry', 'learning and employment record', 'skills profile generator', and 'standardized terminology.' These are functional definitions: a talent marketplace must be public, support matching, and 'incorporate and allow users access' to LERs, credential registries, and a skills generator. 'Standardized terminology' requires a publicly available skills framework and consistent term use across records and registries, which creates a statutory expectation that platforms map vocabulary to that framework for automated matching.
Creates a competitive grant program and ties WIOA funds to data infrastructure
The Secretary must set aside between 5% and 10% of funds available under the cited portion of WIOA to award grants for building workforce longitudinal data systems and talent marketplaces. Applications are detailed — requiring needs assessments, budgets, expected outputs, privacy/security plans, sustainability strategies, and explicit interoperability commitments. The statute enumerates allowable uses (e.g., replicating successful systems, creating talent marketplaces, establishing data exchanges) and directs the program to prioritize high‑need states and multistate consortia that will contribute to interoperable interstate infrastructure.
Conditions, duration, and reporting requirements for grants
Grants may run up to three years, must supplement other funds, and require recipients to submit a report within 180 days after grant completion describing activities and improvements. The supplement-not-supplant language preserves existing state funding responsibilities and signals that grant recipients must show how federal money expands rather than replaces current work — an important constraint on budgeting and sustainability planning.
Governor-authorized talent marketplaces and consumer-facing websites
The bill authorizes governors to establish or partner on talent marketplaces and requires states to publish program lists (including marketplaces) on consumer-tested, searchable public websites using common linked open-data descriptive language and interoperable skills and competency data. The provision also requires the Secretary to provide technical assistance on website standards and to disseminate effective practices — effectively setting a baseline for how states present and compare training options to the public while protecting participant PII.
Adds talent marketplace development to Wagner‑Peyser services
The bill amends the Wagner‑Peyser Act to list 'establishing a talent marketplace' among the employment service activities the Department supports. This aligns public labor exchange responsibilities with the new WIOA definitions and grants program, creating an administrative path for states to use Wagner‑Peyser resources when building or operating marketplaces.
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Explore Employment in Codify Search →Who Benefits and Who Bears the Cost
Every bill creates winners and losers. Here's who stands to gain and who bears the cost.
Who Benefits
- Jobseekers and students — gain more discoverability and control: machine‑readable LERs and searchable marketplaces improve ability to present skills, compare training programs, and be matched with employers who use standardized skill taxonomy.
- State workforce agencies (and multistate consortia) — receive new federal grant funding and technical-assistance signals to modernize longitudinal data systems and improve performance reporting and labor market transparency.
- Employers and HR platforms — get clearer, standards-based skills and credential metadata for improved candidate matching, potentially reducing recruitment friction and clarifying skill gaps.
- Training providers and credential issuers — benefit from a credential registry that publicizes credential learning outcomes and competencies, increasing visibility to prospective learners and employers.
- Economic development and labor-market analysts — gain access to linked, interstate labor market data and outcomes that improve regional planning and cross-state comparisons.
Who Bears the Cost
- State agencies and local workforce boards — must invest staff time, technical capacity, and matching funds to apply for grants, implement interoperable systems, and meet privacy/security and sustainability requirements.
- Smaller training providers and credential issuers — face the burden of mapping curricula and credentials to standardized terminology and potentially adapting records to machine-readable formats, which can require technical assistance or paid vendor services.
- Employers and applicant‑tracking system vendors — may need to modify data ingestion, verification, and privacy workflows to consume LERs and integrate standardized credential metadata, with associated IT and compliance costs.
- Individuals (jobseekers) — while benefiting from discoverability, also shoulder privacy risk and potential identity/accuracy disputes arising from self‑attested records and verification processes.
Key Issues
The Core Tension
The bill's central dilemma is between creating rich, standardized, and interoperable workforce data to improve matching and labor‑market transparency versus protecting individual privacy, ensuring accurate verification, avoiding vendor lock‑in, and keeping long‑term systems financially and operationally sustainable — a trade-off with no single technical or policy fix.
The bill creates strong incentives for standardized, interoperable workforce data but leaves many implementation choices to states and vendors. Which skills framework(s) become the de facto standard will shape credential valuation and hiring signals across jurisdictions; the statute requires a publicly available skills framework but does not name or govern how one is selected, opening a governance gap that can lead to competing frameworks or vendor-driven lock‑in.
Interoperability promises portability and interstate visibility, but achieving it is technically and politically difficult — states use different data systems, privacy laws vary, and unemployment insurance wage records are governed by state statutes and federal confidentiality rules.
Privacy and verification are central unresolved issues. The LER model allows self‑attestation plus verification by employers or education providers, but the bill does not prescribe verification standards or liability rules for inaccurate claims.
That leaves employers and states to decide acceptable verification thresholds, raising risks of inconsistent practices, disputes, and potential discrimination if unverifiable or self‑reported data are used in automated hiring. The funding model helps get systems built but is short-term: 3-year grants with supplement-not-supplant language ask states to plan for ongoing costs without specifying follow‑on federal support, so systems could face sustainability shortfalls after grant expiration.
Finally, the bill's openness-to-private platforms clause invites a mixed public-private ecosystem. That hybrid approach accelerates innovation but also risks commercial control over critical public infrastructure, data stewardship conflicts, and questions about equitable access for underserved communities unless states proactively manage procurement, governance, and access rules.
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