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The constrained supply base: Why power equipment and thermal management are now scarce assets

Justin Smith

Justin Smith

Managing Director

The constrained supply base: Why power equipment and thermal management are now scarce assets
AI infrastructure, grid modernisation, and defense spending are now bidding for the same narrow industrial supply base: power equipment, thermal management, automation, and advanced components. Buyers are paying an estimated 15 to 30% above sector medians for this category, reported by PwC, illustrated by Baker Hughes' $13.6 billion acquisition of Chart Industries after outbidding a rival merger of equals.

Quick answer: Industrial manufacturing now sits at the crossroads of AI infrastructure, grid modernisation, and defense spending, all drawing capital toward the same narrow supply base: power equipment, thermal management, automation and controls, and advanced components. Buyers are paying an estimated 15 to 30% above sector medians for assets in this category, peaking in AI compute and data center exposed businesses, reported by PwC. This is the same convergence thesis I have been writing about in energy, now showing up as an industrials story.

One supply base, three sources of demand

The pattern is straightforward once you see it. AI data centers need power equipment and cooling. Grid operators need the same power equipment and thermal management to handle rising electricity demand. Defense programs need the same automation, controls, and advanced components for modernised platforms. Three enormous, well capitalised demand streams are competing for capacity from the same relatively small set of manufacturers.

From 2021 to 2025, industrial manufacturing accounted for 155 convergence deals worth $532 billion in transaction value, more than any other industrial subsector, reported by PwC. That is not a niche. It is the largest pool of deal value in the entire industrials category, and it is concentrated in businesses that most acquirers would have called ordinary industrial suppliers five years ago.

What buyers are actually paying for

The Chart Industries story from 2025 shows how fast pricing on these assets can move once buyers recognise the thesis. Chart, a specialist in gas and liquid handling equipment, agreed to merge with Flowserve in June 2025 in an all stock deal valued at approximately $19 billion. Within weeks, Baker Hughes intervened with a superior all cash proposal worth $13.6 billion, or $210 per share, a 22% premium to Chart's prior close. Chart terminated the Flowserve agreement, paid a $266 million termination fee, and signed with Baker Hughes on July 28, 2025. Shareholders approved the deal on October 6, 2025, and it closed on July 16, 2026.

That sequence, a merger of equals displaced within a month by a competing cash bid, is what happens when an asset sits inside a thesis multiple buyers want exposure to at the same time. Baker Hughes was not buying gas and liquid handling equipment in the abstract. It was buying a position in the same constrained supply chain that AI infrastructure and grid modernisation are now competing for.

The diligence implication

When three demand streams are bidding for the same asset class, the businesses that win the process are not necessarily the ones with the best price. They are the ones that can move fastest with the most complete information, because a seller with genuine optionality across strategic and financial buyers will not wait for a slow diligence process to catch up. Chart's board had a signed agreement with Flowserve and still moved to a superior proposal within weeks. That kind of speed is only possible when the underlying data room, financials, and contractual detail are already organised well enough to support a second, faster process running in parallel.

The same thesis, smaller scale

The pattern shows up below megadeal scale too. Dutry Power, a Belgian electrical installation and energy services company, was acquired via VDP NV, the kind of electrical components and equipment consolidation happening across markets well outside the US, and driven by the same underlying demand for power infrastructure capacity that is repricing the larger names in this piece.

The takeaway

If your business sits anywhere in power equipment, thermal management, automation and controls, or advanced components, you are not an ordinary industrial supplier anymore. You are sitting inside the same constrained supply base that AI infrastructure, grid operators, and defense primes are all bidding for simultaneously, and the premium buyers are willing to pay reflects that. The dealmakers capturing it are the ones who have already organised their business to move at the speed the thesis demands.

Ansarada is the operating system for every deal, built for the speed and rigor that competitive processes on constrained, high demand industrial assets now require.

Sitting in a constrained supply category?

A competitive process only works if your Virtual data room can move as fast as the buyer interest does. Prepare for a competitive, multi-buyer process with a no-cost Ansarada data room.

See more articles in the Industrials M&A Series 1. The Great Unbundling: Why Carve-Outs Are Now the Default Industrials Deal

2. Reshoring Is a deal thesis, not a policy talking point Disclaimer: This article reflects publicly available information as of the publication date and the personal analysis and views of the author. References to specific companies, transactions, and figures are drawn from the public sources cited; Ansarada has not independently verified these details beyond what is publicly reported, and does not claim any business relationship with, endorsement by, or involvement in the transactions of the companies named, except where explicitly stated. Nothing in this article constitutes financial, investment, legal, or other professional advice, and should not be relied upon as such. Views expressed are those of the author and do not necessarily represent an official position of Ansarada

Justin Smith

Justin Smith

Managing Director

Justin Smith is Managing Director at Ansarada, responsible for leading strategy, growth, product, and commercial execution across the business. He brings over 30 years of experience across SaaS, technology, M&A, sales and marketing. Justin brings deep expertise in AI-driven transformation, AI go-to-market strategy, and Generative Engine Optimisation (GEO) — areas he applies directly to how Ansarada builds, positions, and grows its AI products.

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