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2026 EHS Trends and Priorities: What Manufacturers Need to Know

New research from Intelex reveals where EHS is headed - and what it means for manufacturers navigating AI adoption, tighter regulations, and a shifting workforce.

Based on a survey of 864 senior EHS professionals across North America and Europe, this report delivers manufacturing-specific benchmarks and actionable insights for 2026.

In this report, you'll learn:

Why manufacturing leads other industries in executive EHS engagement at 73% and how to sustain it
The safety culture approaches gaining traction - with 46% of manufacturers relying on mandatory protocols
Where AI and IoT are driving real improvements and where implementation challenges remain
What 85% of manufacturing respondents say about workforce engagement as the top ROI driver

Energy-Based Safety: Applying the 80/20 Rule to SIF Prevention in High-Risk Operations

Fatality rates in high-risk industries have stayed flat for decades, even as recordable injury rates have fallen. Traditional safety programs catch the visible hazards but miss the high-energy sources that cause the most severe outcomes.

Energy-based safety offers a different approach. Built on research showing that 13 high-energy hazards account for 85% of serious injuries and fatalities, it gives EHS teams a structured way to focus on what matters most.

Inside this report you will find:

How the Energy Wheel improves hazard recognition by approximately 30% during pre-job briefs
How High Energy Control Assessments (HECA) provide a quantitative score for safety capacity in any job task
How the Safety Classification and Learning (SCL) model helps you classify events consistently and prioritize investigations
How energy-based observations transform safety measurement from lagging indicators to real-time, actionable insights

2026 EHS Trends and Priorities: What Manufacturers Need to Know

New research from Intelex reveals where EHS is headed - and what it means for manufacturers navigating AI adoption, tighter regulations, and a shifting workforce.

Based on a survey of 864 senior EHS professionals across North America and Europe, this report delivers manufacturing-specific benchmarks and actionable insights for 2026.

In this report, you'll learn:

Why manufacturing leads other industries in executive EHS engagement at 73% and how to sustain it
The safety culture approaches gaining traction - with 46% of manufacturers relying on mandatory protocols
Where AI and IoT are driving real improvements and where implementation challenges remain
What 85% of manufacturing respondents say about workforce engagement as the top ROI driver

2026 EHS Trends and Priorities: What Energy Sector Leaders Need to Know

New research from Intelex reveals where EHS is headed - and what it means for energy companies navigating AI adoption, tighter regulations, and a shifting workforce.

Based on a survey of 864 senior EHS professionals across North America and Europe, this report delivers sector-specific benchmarks and actionable insights for 2026.

In this report, you'll learn:

How executive engagement in energy compares to other industries and why it matters for EHS effectiveness
The safety culture approaches gaining traction - including a 42% higher rate of peer-to-peer accountability in energy
Where AI and IoT are driving real improvements and where implementation challenges remain
What 75% of respondents say about the growing EHS talent shortage and the skills they need next

The Pentest Tax: The Hidden Cost Draining Your Security Team

Enterprise security teams are spending more time managing their penetration testing programmes than running them. Scheduling, scoping, chasing stakeholders, tracking findings in spreadsheets, and manually assembling audit evidence — the admin overhead is enormous, and most of it is invisible.

This report from OnSecurity, based on analysis of 14,000+ security engagements across 500+ organisations, quantifies the real cost of running a security testing programme without dedicated tooling — and shows what the shift to a platform-driven model looks like in practice.

What you will learn:

How ~20 days of admin overhead per engagement breaks down across scoping, scheduling and coordination
Why 76% of organisations testing multiple asset types face compounding complexity
The four characteristics of streamlined security operations that cut human effort by 30-50%
A practical checklist for programme structure, remediation tracking, compliance readiness and tooling

Why Your AI Investment Will Only Perform as Well as Your People Investment Allows

88% of organizations now use AI in at least one business function. Yet more than 80% of firms report no measurable impact on productivity, and only 6% have seen meaningful financial results at the enterprise level.

BetterUp Labs' latest research reveals why: the conditions inside your organization, not the technology itself, determine whether AI adoption produces performance or just activity.

What you'll learn:

Why leadership signals, trust, and psychological fuel predict AI output quality far more than personality — and why "workslop" is a conditions problem, not a people problem
How managers with identical AI adoption scores produce opposite results, and why current dashboards can't tell the difference
Why organizations investing in coaching culture alongside AI see 231% higher ROIC and stronger cash flow

Discover what it takes to turn adoption into results.

Winning in the Age of AI: Transforming Workforce Performance

Artificial intelligence is transforming the nature of work, but many organizations are struggling with declining workforce performance and productivity. To maintain a competitive edge, business leaders must focus on continuous human transformation and adaptability.

Read this comprehensive report to discover how to unlock new levels of performance for your teams. You will learn how to:

Close the Capacity Gap: Align organizational ambition with human capabilities to overcome widespread performance declines.
Leverage Precision Development: Boost collaborative and adaptive skills through personalized, data-driven coaching.
Drive Financial Outcomes: Generate significant revenue growth and competitive advantage by investing in employee potential.

Download the report today to empower your workforce and start winning in the age of AI.

Pilots vs. Passengers: The Next Evolution in Management

The rapid rise of artificial intelligence is fundamentally changing how we work and upending conventional wisdom around managing performance. Our research reveals that the workforce is dividing into two distinct mindsets: Pilots who actively steer their success with technology and Passengers who are merely along for the ride.

Read this report to discover how to navigate the next evolution in management, including how to:

Identify the mindsets required to adapt and perform during technological shifts.
Develop uniquely human management skills to lead teams effectively.
Transform passive employees into empowered leaders through targeted coaching.

Download the report today to prepare your workforce for the future of work.

Better Together: Human and AI Coaching for Leadership Development

Constant organizational change is hurting workforce performance. While human coaching drives meaningful leadership growth, scaling it is costly. AI coaching democratizes access but lacks emotional nuance. A hybrid model combines the strengths of both, creating a continuous operating system for employee development.

Read this report to discover how to build resilience at scale, including:

Human vs. AI: Learn when to rely on human empathy and when to use AI for immediate support.
Hybrid Action: See how shared context between AI and human coaches accelerates improvement.
Design Principles: Implement hybrid coaching as your strategic infrastructure.

Download the report today to empower your leaders.

Why Your AI Investment Will Only Perform as Well as Your People Investment Allows

88% of organizations now use AI in at least one business function. Yet more than 80% of firms report no measurable impact on productivity, and only 6% have seen meaningful financial results at the enterprise level.

BetterUp Labs' latest research reveals why: the conditions inside your organization, not the technology itself, determine whether AI adoption produces performance or just activity.

What you'll learn:

Why leadership signals, trust, and psychological fuel predict AI output quality far more than personality — and why "workslop" is a conditions problem, not a people problem
How managers with identical AI adoption scores produce opposite results, and why current dashboards can't tell the difference
Why organizations investing in coaching culture alongside AI see 231% higher ROIC and stronger cash flow

Discover what it takes to turn adoption into results.

The State of Homegrown Auth Report

The 2025 State of Homegrown Authentication Report, sponsored by FusionAuth and Cloudelligent, provides the first deep dive into the tech stacks and team dynamics of organizations building their own identity systems. While many teams opt for in-house solutions for better security and customization, the data reveals significant risks, including the fact that 20% of respondents have experienced a security breach.

Key findings from this inaugural study of 144 IT practitioners include:

Architecture Trends: 67% of teams build their systems from scratch or roll their own auth server rather than using third-party providers.
The Tech Stack: Java, JavaScript, and C++ remain the top languages, with 72% of teams running auth in containerized or Kubernetes environments.
Productivity Benchmarks: Passport.js and Spring Security are rated as the top libraries for both long-term maintenance and initial time to value.
Team Composition: 60% of teams involve senior-level staff, yet only 23% of those contributors are considered identity specialists.
Infrastructure Preferences: Roughly half of development teams prefer local environments over SaaS tools for building and testing auth-related flows.

Download the full report to compare your own identity infrastructure against your peers and understand the features, protocols, and challenges shaping the future of custom authentication.

How to Deploy Agentic AI on the Shop Floor—and Scale with Confidence

Ready to move beyond AI pilots? As manufacturing grows more complex and unpredictable, traditional approaches can’t keep up. Before scaling AI, organizations need the right foundation to turn data into real-time, actionable decisions.

In this IDC PeerScape report, discover how manufacturers are deploying agentic AI to connect people, machines, and data—enabling smarter, faster decisions directly on the shop floor. Learn how to move from isolated use cases to a more resilient, adaptive operation.

You’ll learn how to:

Turn fragmented data into real-time, guided actions for operators
Augment frontline workers with AI-driven decision support
Optimize production, scheduling, and resources continuously
Automate quality and workflows with intelligent, closed-loop processes

If you’re exploring AI—or ready to scale—it provides a practical roadmap to transform operations and build a more resilient manufacturing business.

The #1 ERP for Mixed Mode Manufacturing

Manufacturers face numerous challenges, especially when operating in a mixed mode environment:

Complex production schedules
Supply chain volatility
Outdated legacy systems

By treating these as interconnected issues, manufacturers can gain a competitive advantage.

Access this G2 Grid® Report for Mixed Mode ERP to see why Epicor Kinetic, the AI-powered ERP, is rated the #1 solution for mixed mode manufacturers in the mid-market.

2026 State of Production Reliability and AI Adoption

Platform and IT engineers are constantly challenged to build reliable systems while keeping production running during critical failures. However, reactive incident management is consuming valuable engineering capacity and driving significant team burnout. In fact, the majority of engineering teams spend 40 percent or more of their time on incident management instead of innovation.

Read the full report to explore key findings, including:

The Cost of Alert Fatigue: Discover why nearly half of organizations experienced an outage linked to ignored or suppressed alerts in the past year.
Financial Exposure: Learn how infrastructure downtime costs 61 percent of organizations $50,000 or more per hour.
The AI Perception Gap: Understand why 74 percent of C-suite executives believe their organization actively uses AI for incident management while only 39 percent of practitioners agree.
Barriers to Adoption: Identify the top practical challenges to AI deployment, such as budget constraints, data quality issues, and security concerns.

2026 State of Production Reliability and AI Adoption

Platform and IT engineers are constantly challenged to build reliable systems while keeping production running during critical failures. However, reactive incident management is consuming valuable engineering capacity and driving significant team burnout. In fact, the majority of engineering teams spend 40 percent or more of their time on incident management instead of innovation.

Read the full report to explore key findings, including:

The Cost of Alert Fatigue: Discover why nearly half of organizations experienced an outage linked to ignored or suppressed alerts in the past year.
Financial Exposure: Learn how infrastructure downtime costs 61 percent of organizations $50,000 or more per hour.
The AI Perception Gap: Understand why 74 percent of C-suite executives believe their organization actively uses AI for incident management while only 39 percent of practitioners agree.
Barriers to Adoption: Identify the top practical challenges to AI deployment, such as budget constraints, data quality issues, and security concerns.