Description
Environmental Business Journal, Volume 39 Numbers 5/6: Q2 2026 AI & Digitalization
EBJ presents a comprehensive assessment of artificial intelligence initiatives across the environmental industry, with particular focus on the consulting & engineering segment. Results of EBJ’s 2026 AI survey are summarized, and executive interviews profile company initiatives ranging from enterprise-wide AI platforms to workflow-specific applications that have moved beyond pilot stages and are already delivering measurable gains in productivity, efficiency and profitability. Survey data show that AI usage increased considerably from 2025 to 2026, although consistent and deeply embedded use remains lower than in many other professional services industries. Barriers to adoption — including data privacy, cybersecurity, quality control, accuracy of outputs and the defensibility of client deliverables — have slowed initiatives at some firms, while accelerating the development of governance programs, secure data environments and formal AI adoption strategies at others. Regardless of progress or concerns, executives almost uniformly agree that how services are performed, priced and delivered is undergoing a significant transformation as AI tools become more integrated into project workflows and IT infrastructure.
Table of Contents
AI in the environmental industry continues to challenge executives in charge of implementing programs and enterprise-wide efforts to optimize productivity and client outcomes; Results of EBJ’s 2026 AI survey show increasing use, integration into specific workflows and client deliverables, but multiple barriers to broader application and ongoing concerns about data security, quality and accuracy 1-17
EBJ Q&As detail a variety of company AI efforts: enterprise platforms vs. workflow-specific applications 14-49
EBJ May 2026 Webcast: AI in the Environmental Industry discussed with digital leaders from Verdantas, Versar and Rincon Consultants 16
WSP embraces grid hardening with GETS: AI applications in early adoption 20
GZA technical specialist sees AI transforming remediation to an adaptive data-driven continuously optimized process 22
EnSafe focuses AI use cases on internal workflows as governance and data security are stabilized 25
Brown and Caldwell modernizes the conservative water industry with AI building a data foundations for integrated decision-making systems 28
FlipType advocates AI to transform how C&E firms price and deliver work 30
Bluefield Research sees a promising future in digital water 33
Apex Companies elevates technology to a core strategy, embedding AI into delivery, pricing, compliance and workflows 36
SWCA accelerating project work flows with AI tools for defensible outcomes 39
Rubicon Carbon raising the bar on data quality in carbon credits market 42
ESA using AI to transform drones into tools for automated field operations 44
Vaisala Xweather evolving weather confidence business model for risk management & resilience 48
E20 Environmental frames China’s environmental AI transition: Market structure, deployment dynamics, and strategic implications for U.S. environmental firms 50
Third party expert opinion from Deloitte and McKinsey & Co.: Human-Centered AI: the next phase of government transformation; AI across industries 52
EBJ Lifetime Achievement Award: Dan Johnson, SCS Engineers profiled as one of EBJ’s five recipients of EBJ LAAs in 2026 57
Exhibits in this Edition
Use of AI in Environmental Services Companies in Q1 2026
Use of AI in 2025 vs. 2026
Estimated Productivity Gains from AI in 2026
Workflow Penetration of AI Tools in Environmental Firms
AI Usage in Client Deliverables
AI Tools Being Used by Organizations in Q1 2026
Percentage of staff that use AI tools in their work
Number of distinct AI applications, tools, bots, or programmed workflows currently in regular use across organizations
Areas of Greatest Measurable Benefit of AI
Barriers to Greater AI Adoption Across Organizations
Open-Ended Responses to EBJ Survey Opinion Questions
Generative AI Adoption is Reshaping the Role of Government IT
Examples of Humans and Machines Collaboration in Government
Use of AI Agents By Industry and Business Function
As AI Adoption Expands, Inaccuracy and Cybersecurity Stand Out as Top-Of-Mind Risks
Types of Physical AI Expected to Have the Greatest Impact
For more information on the Environmental Industry, click here to visit the EBJ homepage.
