Field notes The Energy Transition for the Rest of Us

Catalyst N° 106 of 125 30 Apr 2026

How AI is modernizing EPCs

with George Hershman, CEO, SOLV Energy

In this note
  1. 01The question
  2. 02The answer
  3. 03The argument
  4. 04What you need to know first
  5. 05Details worth keeping
  6. 06Claims worth citing
  7. 07Where it’s contested

The question

What actually limits how fast a large solar and storage contractor can put projects in the ground, and where does AI change that?

The answer

Logistics, not labor and not construction technique. Hershman says the binding constraint on a gigawatt-scale site is moving trucks, materials and people around a work area measured in square miles, and the clearest use of AI in his business today is simulating that choreography before anyone breaks ground. Robotics is being tested on every site, but he says that one-for-one, human crews still install faster than the machines currently on the market.

03The argument

Two pieces of conventional wisdom get revised here. The first is that construction is cyclical, so a construction business rides booms and busts. Hershman spent the first two-thirds of his career in commercial construction watching a roughly seven-year cycle, and says renewables has not behaved that way: the business has grown more or less continuously since 2008, with small dips in 2017 and 2018 from a development hangover after the investment tax credit cliff expected in 2016. What is different now is that load growth is real, and his read is that solar and storage are the fastest and cheapest things to deploy against it. He also designs the cyclicality out, pairing construction with operations and maintenance across a 35-year-plus project life for a recurring revenue base spanning more than 20 gigawatts.

The second revision is about labor, and it is the one most likely to get mangled. Hershman does not claim there is no labor shortage. He claims his work is different from a data center’s. A solar project is roughly 85 to 90 percent mechanical labor, putting posts in the ground, bolting racking together and setting modules, with only 10 to 15 percent requiring skilled electricians for terminations and splicing; in a data center that highly skilled electrical work is happening across every square inch. So the mechanical majority can be hired locally and trained, while the genuinely scarce skills sit in a minority of the scope and in his high-voltage and substation groups. Scale compounds the effect: twenty 20-megawatt projects each need their own management team, whereas a single team plus some added management can run a 300 to 400 megawatt project. Megawatts grow much faster than the people managing them. He still says a 20-gigawatt run rate would require more field labor. He just thinks he could recruit and train it.

So what breaks first? His answer is logistics. Asked how you build two gigawatts on a single site in a year, his response is not about finding people but about how to move that many trucks, where to park workers and how to bus them in. The historical evidence is the 2022 and 2023 supply chain disruption, which he calls the biggest hit his business has taken: racking systems erected with no panels to put on them, crews sitting idle, and the expensive cycle of demobilizing and remobilizing people you then have to retrain. The countermeasures are all logistical rather than technological. There is no just-in-time delivery on these projects; he would rather deliver early and double-handle material than risk a gap. Procurement and pre-construction are centralized so the whole fleet of projects is managed as one, and if 80 percent of the cable is identical across jobs it gets bought months to a year ahead, leaving only the job-specific 20 percent to source late.

That is the frame AI drops into, and it explains why the applications he describes are logistics applications. Hershman says SOLV sits on both sides of AI: it drives demand for his product, and the same technology is used to optimize his own operations. Concretely, he runs simulations of site layout, where to park people, how many laydown yards to use, how far break areas and restrooms sit from the work face, chasing a challenge he has set his teams to find 15 percent more productivity, or 15 more productive minutes, out of every person’s eight-hour day. Those questions used to be answerable only by building it and finding out. The data comes from internal platforms, Sunscreen for project production data and Vitals for plant management, with commercially available tools layered on top. Robotics is real but earlier: every site has some form of automation under test, and the payoff he is chasing is speed rather than headcount, since he already thinks labor is expensive enough to be worth optimizing whether or not he can get it. He is candid that the machines do not yet win a straight head-to-head against people, and that the more interesting question is whether they could run a third shift. The gains he describes are incremental by design: 10 or 15 percent off a total build, perhaps 20 percent in certain regions, in a business he says resembles manufacturing more than construction because it is the same activity repeated a million times.

04What you need to know first

EPC
Engineering, procurement and construction. The contractor that designs, buys equipment for and physically builds a project, as distinct from the developer that originates it or the owner that runs it.
O&M
Operations and maintenance. The long-running service contract to keep a plant running after construction, and the recurring revenue that offsets the lumpiness of construction work.
Laydown yard
The staging area on site where delivered equipment sits before installation. How many there are, and where, is a real variable in how many times a crew has to move the same part.
Just-in-time delivery
Scheduling materials to arrive the day before they are installed. Standard practice on cramped commercial sites, and something Hershman says actively fails at utility-scale solar.

05Details worth keeping

  • SOLV went public earlier in 2026 and holds the ticker MWH, which Kann notes approvingly.
  • Kann describes SOLV as usually the largest or second largest US builder of solar and storage depending on the metric used.
  • Hershman marks the shift in project scale by noting that a utility-scale project once meant 10 or 15 megawatts; today his average is over 300 megawatts with some approaching a gigawatt.
  • Build duration varies more by geography than by technique: the same 300 megawatts might take 12 months in one area and 16 in another, and he names the Northeast as harder to build in than West Texas.
  • SOLV keeps an internal software development team, which he credits for being able to run analysis over its own production data rather than relying only on off-the-shelf tools. The Sunscreen platform dates to about 12 years ago.
  • On what he would buy if he could: a pre-built site he could lift off a shelf and set on the ground. Customers ask how much faster he can build, not whether he can build at scale.

06Claims worth citing

All figures as stated on 2026-04-30 by the chief executive of the company being described, so treat operational numbers as self-reported. Percentages tied to weather, geography or internal targets carry conditions worth keeping attached.

  • SOLV has about 2,600 employees. Hershman
  • More than 20 gigawatts of projects under management on the operations and maintenance side. Hershman
  • Projects now average over 300 megawatts, with some up to a gigawatt. Hershman
  • A solar project is roughly 85 to 90 percent mechanical labor and 10 to 15 percent skilled electrical work; a data center requires the skilled electrical work throughout. Hershman
  • A 300 megawatt project might take 12 months in easier geography and 16 months in harder geography. He explicitly refuses a single number. Hershman
  • Target of cutting 10 to 15 percent out of a total build, with roughly 20 percent efficiency available in certain regions. The sentence carrying the 20 percent runs together with an aside about weather and buildable time, so whether it is a gain from optimization or a spread between regions is not clear; either way he ties it to geography rather than to automation. Hershman
  • An internal challenge to find 15 percent more productivity, or 15 more productive minutes per person per shift. Stated as a goal he has set, not a result achieved. Hershman
  • On a one-for-one basis, human labor still installs faster than robotics available on the market today. Hershman

07Where it’s contested

  • The labor shortage is scoped, not denied. Kann raises it as conventional wisdom, including for data center construction. Hershman’s answer applies to solar’s particular labor mix, and he concedes he would need more field labor at a much larger run rate and that labor is expensive enough to be worth engineering out regardless. Reading this as “there is no labor shortage” would invert his point.
  • Automation is not yet winning. His own hedge: robotics does not beat human crews one-for-one today, and the case for it runs through extra shifts and future scale rather than present cost.
  • The AI content is narrower than the title. What he describes is simulation and optimization over proprietary operational data plus early-stage robotics trials. He offers no figure for what any of it has delivered so far, and the targets he names are single-digit to low-double-digit percentages.
  • The anti-cyclicality claim comes with exceptions. He acknowledges dips in 2017 and 2018 and expects softening in construction at moments, and part of the smoothness is a deliberate business design pairing construction with maintenance revenue rather than a property of the market.
  • This is the chief executive describing his own firm. No third-party data, competitor comparison or customer verification appears, and Kann does not push hard on any of the operational claims.

Cite as: “How AI is modernizing EPCs,” The Energy Transition for the Rest of Us, note on Catalyst with Shayle Kann, April 30, 2026. CC BY 4.0. View the Markdown