By David Murphy, SHEQ Manager
As we move into 2026, health and safety trends are evolving rapidly, shaped by advances in data, and the interconnected nature of modern worksites. Across sectors, safety management is shifting from compliance-led routines to predictive, integrated systems that anticipate risk and strengthen resilience. For those of us working in heavy and specialist lifting, these trends are highly relevant. Recent industry commentary points to AI-enabled hazard detection, richer leading indicators, and immersive training tools as defining features of the year ahead, with EHS leaders already testing and benchmarking these ideas at scale.
AI Integration: From Detection to Decision Support
Artificial intelligence has moved beyond pilots and proof-of-concepts to become a practical tool for hazard detection and operational insight. Safety teams are increasingly using computer vision to spot PPE non‑compliance and unsafe proximity, alongside sensor‑based models that flag anomalies in equipment behaviour before they escalate into incidents. Analysts expect continued acceleration in 2026 as AI becomes operationalised and embedded into daily workflows and connected to IoT data streams, enabling faster, more accurate risk prioritisation and prescriptive recommendations.
In a heavy lift context, AI could feasibly support situational awareness by analysing live feeds during complex tandem lifts, identifying unsecured exclusion zones, or tracking unexpected load sway. Paired with asset telemetry, the same systems might warn when a crane is approaching a wind-speed threshold or when boom deflection trends indicate rising structural stress, giving supervisors a clearer window to pause, re‑plan, or adjust the lift parameters before risks compound.
Predictive Analytics: Elevating Leading Indicators
Alongside AI, predictive analytics is reshaping how organisations use safety data. Rather than relying predominantly on lagging metrics, 2026 EHS strategies are incorporating leading indicators such as near‑miss velocity, training engagement, and fatigue signals to forecast where incidents are most likely to occur. Industry sources highlight a pivot from document-heavy prequalification to proactive, data‑driven risk systems that help prevent incidents rather than merely record them, with models showing materially improved accuracy over traditional measures alone.
For specialist lifting, this could translate into smarter lift planning cycles informed by trend analysis, flagging tasks with higher near‑miss density, correlating competence and recency of training with error rates, or identifying patterns in weather delays that elevate risk on routes and projects.
Wearable Tech: Preventing Strain, Fatigue and Collision
Wearables continue to mature as practical tools for prevention. Devices now monitor posture, micro‑movements, heart rate variability, body temperature, noise, air quality and location, providing alerts when thresholds are exceeded and building a richer picture of worker wellbeing in real time. Reports show wearables reducing musculoskeletal injuries, improving ergonomics, and enabling faster emergency response when a worker falls or stops moving.
In the UK, AI‑enabled belts, wrist sensors and exoskeleton‑related assessments are already being deployed to tackle MSDs, which are still among the leading causes of lost time and reduced productivity. Applied to heavy lifting, wearables could help rigging crews maintain safer postures when handling large slings and shackles, prompt micro‑breaks during prolonged projects, and detect heat stress during summer lifts on exposed sites. Location‑aware wearables may also help manage pedestrian and plant interfaces, alerting when personnel enter restricted swing areas.
A Holistic Approach to Well-being: Mental Health, Financial Wellness, and Inclusive Support
Well-being has shifted decisively from discrete initiatives to strategic, integrated care. Researchers anticipate stronger attention to mental health as an everyday workplace essential, coupled with practical support for financial resilience and tailored programmes for different life stages, including menopause and caregiving responsibilities. UK analyses link holistic well‑being to reduced absence and higher engagement, with organisations moving beyond awareness to proactive resilience building and inclusive policy design.
For heavy lifting operations, the implications are tangible. Fatigue, stress and financial pressure can impair situational awareness and decision-making during high‑stakes lifts, so comprehensive well‑being strategies covering mental fitness, peer support, and flexible arrangements for carers may help crews sustain focus and communicate effectively under pressure.
Cybersecurity: When Digital Risk Becomes Physical
The convergence of operational technology (OT), industrial IoT and AI means system hacks can create direct physical safety risks. Cyber teams expect 2026 to be characterised by identity-centric, stealthy operations where adversaries “log in” rather than “break in,” exploiting legitimate accounts to gain control, an especially serious concern for remote or semi‑autonomous equipment.
Thought leaders emphasise securing AI and OT systems by design, extending governance to cover data pipelines, models and interfaces, and building proactive resilience against ransomware, deepfakes, and supply chain threats that can halt operations or degrade safety controls. In heavy lifting, that could mean robust identity management for crane control systems, and strict patching regimes for sensors and cameras integrated into lift planning. It also points to exercising “cyber‑physical” drills testing how site teams would respond if a control system were disrupted or if false telemetry appeared during a critical lift.
Virtual Reality: Risk-Free Rehearsal for Emergencies and Complex Scenarios
VR is becoming a mainstream training modality, with enterprises reporting improved retention, faster learning, and lower costs at scale. The next wave pairs VR with AI and advanced haptics to create adaptive, photorealistic simulations that respond to trainee performance, enabling role‑specific practice under realistic stress without exposing people or assets to danger.
Academic reviews point to growing adoption for evacuation, emergency response and complex operational rehearsals, with VR especially valuable in environments where spatial navigation, crowd dynamics and multi‑hazard decision-making are critical.
For specialist lifting, VR could be used to rehearse abnormal events, unexpected load shifts, mechanical failure, high‑wind aborts, or comms breakdowns, allowing teams to practise escalation protocols, banksman hand signals, and inter‑disciplinary coordination in a safe, repeatable setting. It can also model site‑specific evacuation routes around crane pads and exclusion zones so crews can drill “what if” scenarios before mobilising.
What This Means for Our Sector in 2026
Taken together, these trends signal a continued move toward anticipatory safety, where data, design and human support combine to reduce risk before it materialises. For heavy and specialist lifting, the practical touchpoints are clear: AI for situational awareness, predictive analytics for lift planning, wearables for ergonomics and fatigue, inclusive well‑being for sustained performance, cybersecurity woven into OT governance, and VR for risk‑free practice. Each approach comes with considerations, data quality, privacy, human factors, integration effort, and assurance that technology augments rather than distracts from safe behaviours. But the direction is unmistakable: organisations that understand and prepare for these shifts will be better placed to maintain resilience in complex lifting environments.
A Note on LIG’s Position on Health and Safety trends
It’s important to state that this article reflects the broader health and safety trends rather than any specific plans. Our focus remains on learning from credible industry developments, understanding how they might apply to specialist lifting, and continuing to champion practices that protect people, assets and communities. By staying informed about future trends we can engage constructively with clients, and partners to and ensure our conversations about safety remain current, evidence‑based and practical for 2026 and beyond.
Keep up to date with our latest insights here.
References
- EHSLeaders: “The Safety Revolution Arrives in 2026: How AI and Data Will Redefine Workplace Risk” (Oct 2025) [ehsleaders.org]
- YellowBird: “The 2026 EHS Trend Report” (Dec 2025) [goyellowbird.com]
- CanQualify: “2026 Industry Trends” (2025) [canqualify.com]
- Occupational Health & Safety: “Smarter, Safer Workplaces: The Power of AI-Driven Wearables” (Nov 2025) [ohsonline.com]
- ErgoScience: “IoT and Wearable Technology Prevent Work Injuries” (Aug 2025) [ergoscience.com]
- British Safety Council, Safety Management: “AI wearable technology – the future of health and safety in the workplace” (Dec 2024) [britsafe.org]
- Forbes (HR Council): “4 Well-Being Trends That Will Shape People Strategy In 2026” (Nov 2025) [forbes.com]
- Optima Health: “Employee wellbeing trends for 2026” (2025) [optimahealth.co.uk]
- Wellbeing People: “5 Workplace Wellbeing Trends for 2026” (2025) [wellbeingpeople.com]
- PwC: “2026 Cybersecurity Outlook” (Nov 2025) [pwc.com]
- Secureframe: “Cybersecurity Trends in 2026” (Dec 2025) [secureframe.com]
- SecureWorld: “Strategic Shifts: Cybersecurity Predictions for 2026” (Dec 2025) [secureworld.io]
- Mazerspace: “Virtual Reality in 2026: Expert Predictions & Trends” (Nov 2025) [mazerspace.com]
- MDPI (Fire journal): “Virtual Reality in Building Evacuation: A Review” (Feb 2025) [mdpi.com]
- LinkedIn (Industry analysis): “VR Emergency Security Training Market Trends 2026” (Nov 2025) [linkedin.com]