Ontario is investing roughly $1.35 (C$1.9) million in a two-year effort led by the Organization of Canadian Nuclear Industries to map its nuclear workforce, manufacturing capabilities, and supply chain constraints. The goal is to do this before the province’s next wave of projects reaches peak construction. The program will identify workforce, manufacturing, and engineering gaps, then develop recommendations for expanding training pathways and domestic supplier capacity.

Ontario is moving from major reactor refurbishment into small modular reactor construction, and it is planning additional large nuclear projects. Rather than waiting for labor shortages to emerge project by project, the province is trying to determine where capacity could run short across the entire buildout. That is a different response to the skilled-labor constraint than most infrastructure sectors take. Preserve the workforce already built, then plan for the workers the next projects will require.

Darlington Finished Under Budget and Kept Its Workforce Intact

Ontario Power Generation completed the refurbishment of all four reactors at the Darlington Nuclear Generating Station earlier this year. The $9.21 (C$12.8) billion project finished four months ahead of schedule and $108 (C$150) million under budget, according to OPG. Before construction even began, the utility spent roughly a decade on equipment assessment, detailed planning, procurement, and workforce training. That preparation produced something useful beyond the refurbished reactors. It created a mature regional workforce and supplier network. OPG is now building the first of four planned GE Vernova Hitachi BWRX-300 small modular reactors at the same Darlington site, and many workers from the refurbishment have been retained for the new project. Existing nuclear sites already have grid connections, roads, water infrastructure, security systems, and established regulatory relationships. Darlington also has something new-build projects frequently have to assemble from scratch. It has concentrated skilled labor with recent experience delivering a nuclear megaproject, a kind of continuity that stands in sharp contrast to the heavy-forging capacity gaps now constraining nuclear supply chains elsewhere in North America.

Megaprojects Usually Scatter What They Just Built

The lesson reaches beyond nuclear. Large infrastructure projects routinely spend years assembling specialized teams. Workers learn site procedures. Contractors develop relationships. Suppliers qualify components. Managers learn where schedules break down. Training programs expand, and local colleges adapt their curricula to match. Then the project ends. If another project does not follow right away, much of that capacity disperses. Workers leave for other industries or regions. Suppliers pursue different markets. Project teams break apart, and owners can find themselves rebuilding institutional capability that previously existed, a pattern already playing out at other first-of-a-kind SMR sites racing to assemble a skilled workforce from a much smaller starting base. Ontario’s approach attempts to preserve more of that accumulated capacity before it disperses. The province says nuclear currently supports roughly 80,000 jobs, and construction demand is only increasing. The four planned SMRs at Darlington alone are expected to create approximately 18,000 jobs during construction while other nuclear projects move forward at Bruce and Wesleyville. Waiting until those projects are fully mobilized to determine whether enough workers exist would recreate the exact just-in-time workforce problem Ontario is now trying to avoid.

The Mapping Effort Runs in Three Phases

The new Ontario initiative will proceed in three stages. First, OCNI plans to build an inventory and interactive map of nuclear supply-chain companies, workforce capacity, and industries with transferable capabilities. The second phase will identify gaps in workforce, manufacturing, engineering, and supplier capacity that could constrain future projects. The final phase will develop recommendations around training pathways, supply chain resilience, Indigenous participation, domestic manufacturing, and regional workforce development. For infrastructure executives, the model is worth noting because it treats labor capacity like any other long-lead resource. Project developers already forecast electricity requirements, equipment demand, commodity availability, and financing needs years ahead. Ontario is now trying to forecast people the same way.

First-of-a-Kind Costs Still Have to Come Down

Workforce continuity does not eliminate nuclear project uncertainty on its own. The first BWRX-300 at Darlington is a first-of-its-kind commercial deployment, with an estimated cost of $5.54 (C$7.7) billion for that unit and $15.04 (C$20.9) billion for all four reactors combined. The economics of the broader program depend partly on cost reductions as later units repeat the design, and analysts caution those reductions have not yet been demonstrated commercially. Design changes or schedule slippage could still push costs higher. That makes the model worth watching rather than declaring it successful in advance. But the sequencing still matters. GE Vernova Hitachi intends to apply lessons from the first BWRX-300 to the next three identical units. Ontario suppliers who worked on the first reactor can potentially move into later ones, and workers trained on one project can continue straight into the next. Each project does not have to rebuild the entire ecosystem from zero.

America’s infrastructure labor discussion usually starts with how many workers are missing. Ontario offers another way to think about the problem. The workers already developed through one major project have real value to the projects that follow it, and so do qualified suppliers, training programs, fabrication capacity, and accumulated project knowledge. Losing that capacity between builds can create another execution bottleneck later. Preserving it can become a real competitive advantage instead. Not every infrastructure sector can replicate Ontario’s nuclear model exactly, since nuclear projects are unusually large, long-lived, and geographically concentrated. But the underlying principle applies more broadly to transmission, advanced manufacturing, data centers, energy projects, and industrial construction generally. Infrastructure owners may need to stop treating skilled labor as something procured independently for every single project. When billions of dollars of future construction depend on specialized workers, the workforce itself becomes part of the infrastructure worth keeping in place.