Employers already use AI to forecast staffing needs, identify skills gaps, monitor productivity, and even predict employee turnover. But while organizations are gathering more workforce data than ever before, one important factor is missing: the physical readiness of employees themselves.
For office workers, that omission may be relatively insignificant. But for employees in physically demanding industries such as manufacturing, aviation, logistics, emergency services, and defense, physical changes over time can directly influence safety, job performance, and even whether essential protective equipment works as intended.
As AI-powered workforce analytics continue to advance, some experts believe the next frontier may not simply be tracking what employees know or how they perform, but whether their physical capabilities still match the demands of their roles.
Why Traditional Workforce Analytics Falls Short
Today’s workforce management platforms excel at measuring qualifications. Companies know who has completed required training, earned certifications, or is available for a particular shift.
According to Rob Fisher, CEO of workforce body intelligence company Bodd, that leaves out an important dimension.
“The conversation around workforce AI has been almost entirely cognitive — skills taxonomies, performance data, training completion rates. That’s valuable, but it treats the worker as a data point rather than a physical being whose health, capacity, and the way they’re equipped all directly shape the way they perform and how safe they are at work. The body gets left out,” Fisher said.
For organizations operating in physically demanding environments, that missing information may create blind spots that traditional workforce dashboards cannot detect. Fisher argues that employers often lack visibility into how employees’ bodies evolve throughout their careers, including changes that could influence mobility, endurance, equipment fit, or overall readiness.
Body Changes Don’t Stop After Onboarding
Many companies issue uniforms, harnesses, respirators, or other personal protective equipment (PPE) when an employee starts a job. Years later, however, those same workers may have experienced significant physical changes. Weight fluctuations, aging, injuries, reduced flexibility, or changes in body composition can all affect whether equipment still fits correctly.
According to Fisher, organizations frequently continue operating as though nothing has changed.
“In industries like defense, manufacturing, and aviation, workers’ body dimensions change significantly over a career. A uniform or harness sized at onboarding may not reflect the person wearing it years later, and in a safety-critical environment, that matters,” Fisher told us.
He adds that proper fit extends beyond comfort, saying “getting the fit right isn’t just about comfort; it’s about whether protective equipment is performing to its rated specification.”
Research has long shown that poorly fitting PPE increases the likelihood that workers modify or remove protective gear, potentially increasing workplace risk. Female employees have also historically reported greater challenges with PPE fit, as many sizing systems were originally designed around average male body dimensions.
From Static Measurements to Continuous Readiness
Rather than treating body measurements as a one-time administrative exercise, Fisher believes organizations will increasingly monitor physical readiness throughout an employee’s career. That doesn’t necessarily mean employers will be continuously watching workers. Instead, technologies such as periodic 3D body scans could provide updated measurements that help organizations assess equipment fit, workforce health trends, and physical capability over time.
Fisher says this broader dataset extends beyond body dimensions alone.
“A single scan captures hundreds of body measurements alongside body composition data, health vitals, and dynamic range of motion analysis. When you do that at scale, across a workforce, over time, you start building something genuinely new: a live view of physical workforce health,” he explained.
Combined with existing workforce analytics, this type of information could help organizations identify emerging risks earlier rather than responding only after injuries, equipment failures, or rising absenteeism occur.
Could Physical Readiness Become Another Workforce Metric?
Many industries already monitor workforce qualifications, certifications, productivity, and compliance. Fisher believes physical readiness may eventually become another standard workforce metric.
“The next phase of workforce analytics will move beyond what people know and how they perform, toward a fuller picture of who they are and what they’re physically capable of. Physical readiness will increasingly be recognized as a legitimate workforce data category, particularly in safety-critical industries,” he said.
Defense and aviation are among the industries already exploring more comprehensive workforce readiness models, where the consequences of physical limitations can be especially significant. Similar approaches could eventually spread into manufacturing, logistics, healthcare, and other physically intensive sectors facing aging workforces and ongoing labor shortages.
Balancing Innovation With Employee Trust
The prospect of AI tracking physical characteristics inevitably raises questions about privacy, transparency, and ethics.
Any collection of biometric or health-related information would require clear safeguards around consent, security, and appropriate use. Employers would need to ensure such data supports workplace safety and employee wellbeing rather than becoming a tool for discrimination or unnecessary surveillance.
As workplace AI becomes more sophisticated, organizations may increasingly face a balancing act: using richer workforce data to improve safety and operational readiness while maintaining employee trust.
Whether physical readiness becomes a standard workforce metric remains to be seen. But as employers seek more complete pictures of their workforces, the next evolution of workforce analytics may extend beyond skills and performance — and begin measuring the physical realities of the people behind the data.
