Are candidates applying to ghost jobs — or real open roles ready to be filled?
Topics are published as research questions before any guest, episode, carriage, or distribution claim is made.
Independent workforce researchwilinstitute.org
Workforce Intelligence Lab
WIL studies how workforce conditions influence the delivery of infrastructure, energy, manufacturing, and other mission-critical investment. Its standing is built through documented methods, empirical work, external challenge, and responsible publication.
Latest research
WIL-STATE-TXState Workforce Archive
Published Research
Texas
Texas skilled-labor workforce exposure at Q2 2026: composite WEI 66 (Elevated, rising), with the heaviest pressure in electrical, commissioning, and adjacent mechanical trades on the data-center and grid critical path.
Moderate
WIL-STATE-VAState Workforce Archive
Published Research
Virginia / Northern Virginia
Virginia / NOVA workforce exposure at Q2 2026: composite WEI 82 (High, rising), with near-total execution dependency on IBEW Local 26 and simultaneous hyperscaler buildouts creating the most concentrated skilled-trade labor pressure corridor in the United States.
High
WIL-STATE-GAState Workforce Archive
Published Research
Georgia
Georgia skilled-labor workforce exposure at Q2 2026-to-date: composite WEI 71 (Elevated, rising), with the heaviest pressure in electrical, MV/substation, and adjacent industrial trades on the data-center, port expansion, and EV manufacturing critical path.
Moderate
Current projects
Founding research projects are shown as work in development, not completed findings.
Project · TAX-001Open for contribution
Research questionHow should America’s skilled workforce be consistently classified across occupations, specialties, skills, credentials, industries, and labor-market data systems?
Develop a shared, versioned vocabulary for skilled-workforce research so roles, trades, credentials, and capability requirements can be compared across sources without implying false equivalence.
Expertise needed: Occupational classification, Skilled trades, Taxonomy engineering, NLP methods, Workforce researchProject · MAP-001Open for contribution
Research questionWhere are major infrastructure investments likely to place overlapping demands on the same skilled workforce?
Develop a governed geographic research view connecting data-center, power-generation, and transmission/grid project evidence with comparable workforce measures while keeping lifecycle, coverage, timing, and uncertainty visible.
Expertise needed: GIS, Labor economics, Infrastructure research, Energy and power, Data engineeringThe Lab
A public research-broadcast initiative built around difficult workforce questions—not a promotional content series.
Researchers and practitioners in the same inquiry
Evidence, field experience, disagreement, and open questions remain visible rather than being compressed into promotional conclusions.
Designed to travel without losing context
Live, on-demand, audio, library, media, and event pathways are being prepared. No carriage or partnership is represented as confirmed.
Research network
Participation is substantive and selective. Individual participation never implies an institutional partnership or authority over WIL findings.
Research Fellows
Researchers contributing to defined design, analysis, authorship, or review roles.
Industry Fellows
Practitioners contributing nonfiduciary context and domain challenge.
Technical Fellows
Methodology, data, and research-system contributors.
Contributors & Partners
Named contributors and substantiated research relationships, each disclosed accurately.
Data & evidence
The governed research infrastructure behind measurement, monitoring, and publication.
Core research question. How do workforce conditions influence the ability of infrastructure, energy, manufacturing, and mission-critical investments to be delivered as planned?
Evidence Monitor
A monitoring surface for appropriately governed evidence streams. It is infrastructure—not a fourth flagship contributor project.
Methodologies
Versioned specifications, assumptions, validation evidence, limits, and change history.
Data & Open Research
Disclosed source families, lineage, coverage boundaries, permitted use, and limitations.
Research participation
Participate
WIL is built with a research network. Applications are substantive and reviewed; submission does not imply acceptance, affiliation, or endorsement.