How Legacy Automakers Are Pivoting Into the AI Data Center Boom

The broader market context supports Valeo’s thesis. TrendForce projects that liquid cooling penetration in AI data centers will rise from 14% in 2024 to 33% in 2025, and Goldman Sachs expects 76% of AI servers to be liquid-cooled by 2026 . For a company whose stock had hit a 16-year low just two months before the surge, the AI pivot has provided a sharp re-rating .

Ford Energy: From Electric Vehicles to Grid-Scale Battery Storage

Ford’s move into AI infrastructure is the most structurally ambitious among legacy automakers. In May 2026, the company launched Ford Energy, a wholly-owned subsidiary focused on grid-scale battery energy storage systems (ESS). The unit is directed by Lisa Drake, a key figure in Ford’s EV program, and represents a $2 billion capital commitment .

Ford Energy aims to manufacture and sell U.S.-assembled storage systems to utilities, data centers, and large industrial customers. The near-term target is 20 GWh of annual deployment capacity, with first customer deliveries expected by late 2027 . The strategy directly repurposes battery capacity that Ford had built for electric vehicles that failed to sell in projected volumes .

The market’s initial validation came from Morgan Stanley. Analyst Andrew Percoco estimated that Ford Energy could be worth approximately $10 billion at a base case, anchored on roughly $588 million in EBIT at 20 GWh capacity and a 17.5x multiple . The bull case ran as high as $31 billion .

Shortly after, Ford Energy signed a concrete deal: a five-year framework agreement with EDF Power Solutions North America to supply up to 20 GWh of battery storage systems, with annual deliveries beginning in 2028 . Ford’s stock surged to a 52-week high on the news . Analysts have pointed to Ford’s partnership with Chinese battery maker CATL as a strategic advantage for the energy storage division .

BorgWarner: Turbocharger Supplier Enters the AI Power Generation Market

BorgWarner, a Michigan-based supplier best known for turbochargers and drivetrains, took a different path into the AI infrastructure boom. In February 2026, the company signed a Master Supply Agreement with TurboCell, a subsidiary of data center infrastructure developer Endeavour, to supply a highly modular turbine generator system .

The system is designed to serve as a primary or backup power source for AI-driven data centers and microgrid applications . It can run on natural gas, propane, diesel, or hydrogen, and BorgWarner says it has been in development for more than three years, drawing on the company’s expertise in turbocharging, thermal management, and power electronics . Production is scheduled to begin in 2027 at BorgWarner’s facility in Hendersonville, North Carolina, with an initial installation capacity of 2 GW .

The deal is well-timed. As EV adoption slows in North America, BorgWarner is facing a more challenging core market, making the data center opportunity a welcome growth vector . According to a BofA research note cited in a broader industry analysis, the AI chip market alone is projected to reach roughly $200 billion by 2027, and AI chips require 3-4 times more electrical power than traditional CPUs . BorgWarner’s turbine generators target that power gap directly.

Aptiv: The Versigent Spin-Off as an Indirect AI Architecture Play

Aptiv’s repositioning is more structural than product-driven. In January 2025, the company announced plans to separate its Electrical Distribution Systems (EDS) business into a new independent publicly traded entity, later named Versigent . The spin-off was completed on April 1, 2026, with Versigent listing on the New York Stock Exchange under the ticker VGNT .

Aptiv described the separation as part of the “continued transformation of our portfolio,” allowing the remaining company to focus on higher-margin technologies such as software, advanced driver-assistance systems (ADAS), and robotics . Market analysis frames the move as a strategic sharpening: by removing the lower-margin electrical distribution operations, Aptiv concentrates on areas that sit closer to emerging vehicle and automation trends .

Critically, the available sources confirm the Versigent spin-off and its electrical-architecture rationale, but they do not establish the same direct data-center customer deal or product launch that is sourced for Valeo, Ford, and BorgWarner . While the spin-off positions Aptiv’s remaining entity and Versigent as suppliers of the complex electrical architectures that data centers require, the link to AI infrastructure is less directly evidenced in public filings and announcements than it is for the other three companies.

The Broader Pattern: Automotive Engineering Becomes AI Infrastructure

What connects these four companies is a common thesis: decades of experience in vehicle electrification, thermal management, power electronics, and high-volume manufacturing can be redirected toward the energy and cooling problems that AI data centers now face at massive scale.

The underlying demand is not speculative. A Bank of America research note projects that data centers (measured by electrical capacity) grew at an 18% compound annual growth rate from 2018 to 2023, and that AI adoption will accelerate that trajectory further . Power and cooling represent the constraint that will determine how fast AI infrastructure can scale, and the automotive industry’s supply base is uniquely equipped to address it.

For investors and industry observers, the takeaway is that the AI buildout has broadened far beyond chipmakers and cloud providers. The next wave of beneficiaries includes companies that, until recently, were associated with turbochargers, electric vehicles, and brake pads.