How HR Leaders Navigate AI Workforce Transformation

As manufacturing navigates significant transformation, HR leaders face mounting pressure to align workforce strategy with rapid technological advancement.

After 2024, a year marked by economic contraction and trade uncertainty, 2025 has set the stage for what is set to be a pivotal 2026, according to Deloitte.

The firm's 2026 Manufacturing Industry Outlook suggests that the sector is transitioning from experimental AI pilots to full-scale implementation. For HR leaders, this shift means that success hinges on balancing aggressive technology investment with highly adaptive workforce planning.

The battle for skilled workers continues to intensify as manufacturers pour resources into advanced digital tools and smart manufacturing facilities.

According to a 2025 Deloitte survey, more than one-third of manufacturing executives cite "equipping workers with the skills and knowledge they need to maximise the potential of smart manufacturing and operations" as their top concern.

The talent challenge becomes more acute if reshoring accelerates, potentially straining the already limited supply of skilled workers. For HR leaders, this means rethinking traditional recruitment and development models.

Workforce planning in uncertain times

Deloitte's report suggests that a "build, buy or borrow" framework helps HR teams to maintain agility in workforce planning.

This approach involves investing in talent development for roles most critical to core business operations, recruiting external personnel with specialised expertise and engaging temporary workers or third parties to meet fluctuating demand.

This model allows HR departments to respond more dynamically to shifting business needs whilst managing costs and maintaining operational flexibility.

Preparing teams for AI integration

According to a 2025 Deloitte survey of 600 manufacturing executives, 80% plan to allocate 20% or more of their improvement budgets to smart manufacturing initiatives. These investments will concentrate on foundational technologies including automation hardware, data analytics, sensors and cloud computing.

The report highlights agentic artificial intelligence as "poised to elevate smart manufacturing and operations". For HR leaders, this technology offers solutions to some of the sector's most pressing talent challenges, including capturing institutional knowledge from retiring employees, making manufacturing roles more attractive to younger generations and maximising production uptime.

The report notes that agentic AI "lays the foundation for physical AI", which nearly a quarter of manufacturers plan to implement within the next two years. This includes humanoid robots capable of navigating unstructured environments and completing complex tasks.

Building resilient teams

A surge in AI and data centre infrastructure is creating downstream growth for industrial equipment manufacturing, potentially opening new avenues for workforce development and hiring.

According to Deloitte's report, startups focused on small modular reactors attracted US$3.9bn in funding in 2024, representing a tenfold increase from 2023 investment levels.

Trade uncertainty remains the primary concern for 78% of manufacturers, according to the National Association of Manufacturers' 2025 Q3 outlook survey.

Deloitte's report suggests that sourcing challenges are likely to persist, requiring HR teams to prepare workforces for continued volatility.

Agentic AI provides enhanced visibility and agility by autonomously detecting and mitigating supply chain risk, potentially reducing the burden on human workers.

The report concludes that targeted investments in digital tools, including agentic AI, "could be essential for manufacturers to maintain a competitive edge in 2026 and beyond".

Workforce strategy must evolve in lockstep with technological capability, ensuring teams possess both the technical skills and adaptability to thrive in an increasingly automated environment.