Blackstone executive says AI boom driving surge in blue-collar jobs

Blackstone’s Jon Gray said the AI buildout is driving a major increase in blue-collar employment, with QTS job-site staffing expected to reach 40,000 by year-end from 10,000 a year ago. He said the bulk of physical investment is occurring in the U.S. Midwest, underscoring strong demand for data centers and related infrastructure. The comments were broadly positive for AI infrastructure and private markets, though the article also notes concerns about potential job displacement.

Analysis

The bigger market implication is not “AI jobs” but a multi-year re-rating of the industrial backbone required to build and power compute. Data center spend pulls through a much wider ecosystem than hyperscalers: electrical equipment, switchgear, transformers, construction labor, fiber, cooling, and land development. That creates a second-order earnings tailwind for asset owners with scale and permitting advantage, while capacity-constrained suppliers can see pricing power persist well past the initial build cycle.

BX is the cleanest public proxy because the market is still underestimating how much of its value creation will come from infrastructure-style fee growth rather than classic real estate beta. The key is duration: if AI capex stays elevated for 3-5 years, the fee stream and carried value embedded in data-center platforms can compound faster than consensus models that assume a one-cycle buildout. BEN is more indirect, but the signal matters for capital allocators more broadly: managers with credible private-infrastructure exposure can attract sticky mandates as investors chase “AI picks-and-shovels” returns.

The contrarian risk is that the market may be overpaying for near-term construction intensity while underappreciating power bottlenecks and regulatory delays. If interconnect queues, transformer shortages, or local permitting slow deployments, revenue recognition for the supply chain can slip by 2-4 quarters even if demand stays strong. That would favor the highest-quality landlords/operators over the more levered subcontractor chain, and it argues for being selective rather than simply long anything labeled AI infrastructure.

Key Decisions for Investors

• Long BX vs. short a basket of high-beta AI beneficiaries for 3-6 months; use BX as the lower-volatility way to own the infrastructure buildout while reducing risk from overextended AI multiple compression.
• Buy BX on pullbacks toward support after any market-wide tech selloff; target 10-15% upside over 6-12 months if AI capex stays above consensus and fee-related earnings continue to inflect.
• Avoid chasing the broad AI supply chain; prefer a barbell of BX and select electrical/grid names over contractors with execution risk, since power scarcity will likely separate winners from losers over the next 2-3 quarters.
• For BEN, treat this as a watchlist name rather than a core long; only get constructive if management can show net inflows into private-markets/infrastructure products, since the article is supportive but not enough alone to re-rate the franchise.