Know-How Is the Bottleneck: Industry Trains at Scale, Proof Lags Behind
Three signals from industrial America point one way. Money and training capacity are growing, and the hard part is keeping and proving real skill.
Technology is ready, the know-how is leaking
Octave Intelligence surveyed 756 technology leaders at organizations with more than $1B in revenue. They work across manufacturing, oil and gas, chemicals, power and pharma. The fieldwork ran from April 14 to May 1, 2026. Seven in ten say they fail to retain the knowledge their future operations depend on.
The details sharpen the picture. Thirty-four percent name "we have the technology but have not upskilled people for it" as their top five-year risk. Forty-seven percent say key know-how is undocumented. Forty-five percent already turn to AI tools, including digital twins, to capture it. Thirty-six percent rank systems thinking above technical skills as the most valuable trait for students.
The survey has no veteran or simulation cut, so read it as context. Still, it names the gap we work on. Plants do not lack machines. They lack a reliable way to see, record and pass on what skilled people actually do. A simulation that logs every action turns tacit know-how into data. Read the survey.
Shipbuilding is training thousands, on contract
On October 13, HII announced a U.S. Navy contract worth $56M, with options that could lift it to $91M. It covers engineering and design support for AUKUS. Workforce development support sits inside the scope. HII says it is training thousands of engineers, maritime specialists and nuclear tradespeople for submarine production.
This is a modest contract next to the wider story, but it shows how the pipeline now works. Training is bought as part of the program, alongside the hulls. For veterans with technical backgrounds, that means more entry points into a critical industry. For employers, it raises a practical question. When thousands of people go through training, how do you know who is ready for which job on day one? Read the announcement.
A clean room in the community college
Washtenaw Community College in Michigan is expanding its microelectronics and semiconductor training. The college is adding a clean room and about $200,000 in funding backed by the National Science Foundation. The money supports hands-on workshops in AI and semiconductor manufacturing.
Semiconductors are one of the most severe skills shortages in the country. Access to a real clean room is rare and expensive, so every new one matters. It also shows the limit of physical capacity. A single lab serves a limited number of learners per year. Simulation can extend that reach, letting a learner rehearse process steps before touching costly equipment, and letting an employer see how they performed. Read the report.
The takeaway
Industry is investing in practice: contracts that include training, labs with real equipment, surveys that name know-how as the risk. What is still missing is a shared way to show that a person can do the work. That is the bridge PowerTechs is building for veterans and employers, with skill proven by data from realistic challenges instead of a line on a resume.
For veterans: see roles that match your military experience For employers: book a 30-minute call