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A&D workforce execution: Ramp faster with human–AI teaming

In A&D, execution risk often stems from limited visibility into skills and clearances. Skill-level planning, combined with AI-enabled shared services, accelerates ramp-up and reduces costs.

The aerospace and defense (A&D) sector is entering a powerful demand cycle—rising defense budgets, a commercial rebound, and expanding backlogs. Yet execution risk is growing because organizations lack real-time visibility into skills, clearances, availability, and timing at decision points.

As work becomes more digital and software-driven, artificial intelligence (AI) compresses timelines while experience layers thin and turnover rises in software, systems, cyber, and data roles. Siloed planning leads to late staffing and reactive hiring, a costlier labor mix, and higher indirect costs —while clearance and hiring delays extend time-to-productivity. The result: weaker bids, slower program ramps, and persistent cost and schedule overruns despite strong demand.

How to hire and redeploy your A&D workforce:

  • Plan for skills, not roles: Build an always-on skills inventory, forecast demand by program, and use phase-by-phase skills plans aligned with clearance requirements.
  • Prepare people and roles for AI: Redesign workflows for human–AI teaming, upskill in GenAI, MBSE, simulation, and institutionalize cross-training.
  • Deliver through modern service models: Create a central HR hub with AI-enabled shared services, connect it to program controls, and manage skills, clearances, costs, and schedules through a single dashboard.

Download our report, Aligning A&D demand and workforce capacity, to redesign roles for human–AI teaming and improve productivity, quality, and execution outcomes.

Dive into our thinking:

Aligning A&D demand and workforce capacity

Skill-level workforce planning —enabled by AI and connected to program controls —supports competitive bids, faster ramps, lower cost and execution risk in aerospace and defense.

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