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How AI is Reshaping the Engineering and Environmental Consulting Sectors

Key Takeaways

AI Enhances Efficiency Without Disrupting Core Workflows
AI is adding value in discrete tasks such as RFPs, modeling and design iteration, while complex engineering workflows remain insulated from disintermediation, preserving incumbent advantages and supporting durable margin expansion.  

Data Center and Power Demand Drive Long-Term Growth
Generational data center investment and rising power needs are creating sustained demand for engineering and environmental firms with differentiated MEP, cooling, water and retrofit capabilities across complex projects.  

Regulatory Shifts Favor Firms With Local Expertise
Evolving federal, state and local regulations are a tailwind for firms with strong local presence and regulatory fluency, increasing the value of geographic expertise, project experience and diversified revenue mix  


AI is reshaping how engineering and environmental services firms operate while strengthening the investment case for investing in the sector. At the firm’s 2026 Private Company Technology & Services Conference, Baird Global Investment Banking hosted a panel of senior advisors to discuss how AI is proving to be a tailwind for the established expertise and long-term value creation in the sector.  We are still seeing these themes influencing the sector though the remainder of the year.

Moderated by Brad Page, Managing Director, and Mark Donatelli, Vice President, in Baird’s Facility, Industrial, Residential and Environmental Services (FIRE) group, the panel featured Ben Hodges Managing Director; Scott Orleck, Partner; and Ali Huberlie, Partner, EY‑Parthenon.

Insights from the Discussion


AI is Adding Value to Discrete Tasks while Complex Engineering Workflows Remain Insulated from Disintermediation

Unlike other markets such as software or select professional services, native AI players are not displacing engineering, consulting and environmental players. AI is not displacing labor or end-to-end service delivery in the sector. Rather, AI is proving incremental and additive by enhancing discrete elements of workflows like RFP responses, design iteration, modeling versions and more. “Most of what has cropped up is sort of these niche tools that are for parts of the workflow. What we’re not seeing is these AI-native competitors trying to own big parts of the workflow,” said Huberlie.

Data Center Investment and Accompanying Power Needs are Generational Demand Catalysts and Require Differentiated Technical Capabilities

Investors are increasingly seeking balanced exposure to data centers in future investments – that is, enough data center work to benefit from secular demand, but ideally balanced with work in adjacent markets such as power, utilities and infrastructure to mitigate capex cycle risk. The panel discussed how greenfield data center builds will give way to retrofit‑driven demand in the years ahead.

The panel highlighted the nuance of data center investments and how rote exposure metrics are not sufficient. “Where there’s really a lot of the differentiation right now is on the MEP engineering side of things,” said Hodges, highlighting how firms have differentiated on technical applications such as cooling and water use, as well as local development. These workflows are exceptionally complex and for now, not easily automated. As Huberlie said, “In an ironic way, that work itself is very AI insulated.”  

Orleck underscored the competitive edge of local and project expertise. “It’s often a more important key buying criteria in that end market and the speed to completion and the previous project experience in some of those more complex services that you find in the data center ecosystem lends itself a little to find firms that specialize in that.”

Regulatory Change Is a Tailwind for Firms that have Local Expertise

Federal-level policy changes are creating uncertainty in the broader engineering space, including permitting reform and shifts in environmental policy. These changes are pushing more onus for regulation to the state and local levels. In turn, this shift is fueling demand for some core competencies of established environmental and engineering firms such as local knowledge and regulatory fluency.  

For investors, regulatory exposure is less about headline risk and more about revenue mix, service specificity and geographic exposure. In many cases, reduced federal friction may accelerate project timelines, increasing demand for complex engineering and environmental expertise rather than diminishing it.

As AI continues to reshape engineering and environmental consulting, the firms that win will be those that pair technological adoption with deep domain expertise, local insight, and regulatory fluency. The discussion underscores why these capabilities are becoming increasingly valuable for operators and investors alike.

To learn more about how these trends are influencing the sector, and how they may impact your strategic priorities, connect with Baird’s FIRE team to continue the conversation.

Brad Page
+1-312-609-5491
BPage@rwbaird.com

Mark Donatelli
+1-312-609-4998
MDonatelli@rwbaird.com