A utility executive receives three requests.
An AI developer wants enough power for a new hyperscale campus. An EV battery manufacturer wants to build a gigafactory nearby. At the same time, a semiconductor company wants to secure capacity for a new fab.
All three projects promise investment.
All three projects promise economic growth.
Furthermore, all three projects need large amounts of electricity.
The utility supports all three projects. However, there is a problem.
The infrastructure is not ready to serve all three immediately.
This situation is becoming increasingly common across the United States. As AI, EVs, and manufacturing compete for electricity, utilities face decisions that extend far beyond engineering. Their decisions increasingly influence where companies invest, how quickly projects move forward, and which regions attract future growth.
Many people believe the United States faces an electricity shortage. However, utility executives rarely describe the challenge that way.
Instead, they focus on a different issue.
Can the grid deliver power where demand appears and when customers need it?
That question sits at the center of today’s infrastructure challenge.
For decades, companies competed for land, labor, and incentives. Today, they increasingly compete for something much harder to secure.
They compete for deliverable power.
The U.S. Doesn’t Have an Electricity Problem. It Has a Deliverability Problem
Generation is the beginning of most conversations about electricity. People are wondering if the nation can generate sufficient power to enable the AI infrastructure, advanced manufacturing, and EV production.
The question is significant. But it doesn’t explain why so many projects get bogged down.
The real difficulty often starts when you have generated your electricity.
Electricity is not valuable until the customer has it. As a result, the ability to deliver (via the transmission infrastructure, substations, and local grid capacity) has become just as critical as the ability to produce.
This explains in part why certain areas have a hard time supporting new load even when there is ample generation capability sitting around.
Generation Does Not Guarantee Access to Power
A single assumption underpins much of the energy talk.
If there’s sufficient generation in an area, the new projects ought to be able to come online without a problem.
The reality is more nuanced.
A utility may have sufficient generation. But then the local system may not be able to accommodate yet another huge load. Transmission may have to be upgraded. Substations may have to be expanded. Utilities may also need more equipment to ensure they can keep the lights on.
The net effect is that developers can be forced to wait even when power is, in a technical sense, available.
It’s a problem that’s becoming more prominent as today’s projects are on a scale the industry has never seen.
A single hyperscale AI campus might require hundreds of megawatts.
An EV battery plant could be looking for similar figures.
A chip fab could need huge capacity, and yet exceptional reliability.
Each project individually creates infrastructure problems.
Together, they are exerting tremendous strain on the capacity of the U.S. power grid.
Interconnection Delays Are Becoming a Business Risk
Only a few executives even consider interconnection studies outside of the energy space.
Developers, of course, think about them all the time.
An interconnection study determines if the project can be safely interconnected to the grid. It also identifies the upgrades needed before a facility can take power.
In theory, that process seems simple enough.
In practice, it can determine the fate of a project.
Think about what happens when a utility needs to make significant upgrades to transmission infrastructure. Construction timelines extend. Capital remains tied up longer. Moreover, revenue moves further into the future.
At some point, the problem is no longer technical.
It was economic.
It’s just one of the reasons interconnection delays are such a hot topic throughout the industry. Developers are increasingly assessing utility readiness in advance of location commitments. They want realistic timelines. More importantly, they want certainty.
Five years ago, site selection teams frequently talked about power after land and incentives.
Now, many teams begin with power.
That change is the tip of how dramatically the market has changed.
Why AI Changes the Rules for Utility Planning
Utilities have always planned for growth.
They know how new neighborhoods impact electricity demand. They know how factories impact long-term planning. Additionally, utilities also have knowledge of how growth in the population affects the need for infrastructure in the future.
AI infrastructure poses a different challenge.
It is not just demand that is the problem.
It’s the scale, the speed, and the uncertainty combined.
These three dynamics are pushing utilities to rethink the traditional planning models.
AI Electricity Demand Is Arriving Faster Than Utilities Expected
The path of most industrial development is fairly predictable.
Companies check out locations. They get permits. They line up financing. Construction follows.
They tend to get service providers ready in time to do that.
The advances in AI development are so much faster.
Hyperscalers want capacity now. They want to build out their infrastructure ahead of the competition. As a result, many utilities are receiving unprecedented requests for services, even beyond what they thought possible.
Some requests are for hundreds of megawatts.
Some are for long-term campus plans that will see beyond what’s possible even at the moment.
It’s not just data center power demand that is the challenge.
The challenge is the pace at which that demand is manifesting.
Utilities can build infrastructure. But they can’t build transmission infrastructure at the pace that AI investment is moving.
That divide is becoming a critical concern in electricity planning.
Utilities Are Investing Before Demand Fully Materializes
This challenge poses yet another problem.
Utilities have to decide how to build their infrastructure years before they know precisely how much demand is going to materialize.
That poses a risk.
Utilities that do not accurately predict demand could have difficulty supporting future growth. Projects may be delayed. Regions may be deprived of investment opportunities.
But predicting too much demand causes another problem.
Utilities can spend billions on infrastructure that goes unused.
This worry is growing in significance as AI demand forecasts are getting more sophisticated, ever more so. Technology changes so fast. Business models change so fast. Markets also change so fast.
So utilities have to make long-term investment decisions in the face of considerable uncertainty.
That balancing act is becoming more difficult as AI, EVs, and manufacturing vie for electricity in the very regions.
When AI, EVs, and Manufacturing Compete for Electricity, Utilities Become Economic Gatekeepers
Utilities were never asked to serve as the gatekeepers of the economy.
And yet that is exactly what is occurring.
Traditional utilities concentrated on reliability, safety, and planning for the very long term. They provided power to customers with demand. Economic development used to be about business retention and business expansion. Companies chose where to build.
Today, those functions are increasingly blurred.
With AI, EVs, and manufacturing all competing for electricity, utilities often have a say about which projects come online first. They do not make those decisions themselves. However, these investments in infrastructure, their schedules for upgrades, and their planning priorities determine the winner.
That power is increasing as grid capacity limitations become easier and more common to find.
In many markets, utilities can provide for their future growth. They just don’t have the capacity to grow all their future growth at the same time.
Not Every Megawatt Creates the Same Economic Outcome
A megawatt of electricity in a plan looks just like any other megawatt.
The underlying economics for that megawatt, though, can be wildly different.
Say you have three projects.
A semiconductor fab may consume a great deal of electricity. But it can also generate thousands of direct and indirect jobs. Providers frequently come in tandem. Research partnerships often develop. Local economies may see benefits that last for decades.
An EV battery plant, on the other hand, generates a different kind of value. It can boost U.S. manufacturing. It can attract suppliers. This may also drive wider industrial development in a region.
An AI campus offers a different value proposition. It can raise substantial tax revenue. It can attract digital infrastructure investment. Moreover, it also helps meet the growing demand for AI services throughout the economy.
Each project counts.
So what each project adds up to is different.
This presents a conundrum for the utilities planning.
The grid does not measure tax revenue.
The grid does not measure job creation.
It measures load only.
But increasingly, infrastructure choices are determining much, much more than electricity demand.
To that end, utilities, regulators, and economic development practitioners are collaborating more now than ever. And they know that their decisions about power distribution will affect which states will remain open for business, competitive, for years.
The Industry Is Entering an Era of Difficult Trade-Offs
Many people reckon the fix is easy.
Build out more infrastructure.
The industry is already working on that.
Utilities are still investing in transmission infrastructure. They’re upgrading substations. They’re adding capacity where they can.
However, it takes time to develop infrastructure.
A transmission line project can take years to plan, permit, engineer, and construct. Yet the demand is still climbing.
This manifests as a temporary, although significant, reality.
You can not have every project progressing at the same pace.
Let’s say a utility gets a handful of requests for significant amounts of capacity soon. The utility may be behind every project in principle. But it might only have enough capacity to deliver to one project right now.
What happens after that?
That’s the crux of today’s power problem.
It is no longer considered a question of whether a project deserves power.
The question is when that project can be powered.
For developers, that matters a lot.
A delay of 1 year may have implications for the construction timetables.
A delay of two years can affect the returns on investment.
Meanwhile, a delay of three years can have a dramatic impact on the economics of the whole project.
Therefore, being able to get access to power is becoming more of a strategic asset to maintain competitiveness rather than a basic utility service.
The Bigger Risk Is Demand That Never Arrives
Most headlines are about AI’s growing thirst for electricity and less talk about reverse risk.
What if predicted demand does not come through?
This question is also gaining more traction in utility planning departments.
Major infrastructure investments need long-term commitments. Utilities frequently invest billions in transmission facilities, substations, and grid enhancements. Those capital expenditures last for decades.
That makes predictions vital.
In the past, utilities could count on more or less predictable expansion. Population growth was predictable. The pace of manufacturing expansion was a pace that could be managed. Utilities were able to predict demand with a certain level of confidence.
AI changes that equation.
Several AI developers have announced ambitious growth plans. Some projects step on a lot of feet quickly. Other projects are scaled down. Some projects get knocked down altogether.
Utilities get that reality.
They are, as a result, more cautious.
As a result, a greater number of utilities are seeking firmer assurances prior to committing significant investments. They want to see that demand will be there. They want assurance that customers will take the capacity they sign up for.
This is a problem often referred to in terms of ”certainty of demand”.
Demand certainty could turn into hocus pocus peace on Earth-at least in the eyes of utility planners.
The reasoning is simple.
Too little infrastructure building causes traffic jams.
Building too much infrastructure creates financial risk.
Utilities must navigate between those two outcomes. Furthermore, that challenge will only be tomorrow in the face of AI, EVs, and manufacturing, all battling for electricity throughout the United States
Why Time-to-Power Is Replacing Incentives
For years, the economic development playbook was well known to the agencies that are tasked with promoting it.
Offer tax incentives.
Promote workforce availability.
Highlight transportation networks.
Market available land.
That’s still relevant.
But a new thing is rising to the top of the list.
Time-to-power.
Before incentives, many developers are now asking about power. That would have been a strange turn of events a decade ago. It’s happening more and more.
The cause is simple.
A project cannot create value until it starts running.
So delays in power affect every aspect of the business case.
Construction schedules move.
Hiring plans change.
Revenue projections shift.
Investor expectations become more difficult to fulfill.
As a result, power preparedness is increasingly regarded not as a mere operational concern but as a site selection criterion by developers.
Those regions that solve time-to-power will be immensely advantaged.
They will attract more investment.
They will reduce uncertainty.
And most importantly, these tools will better enable companies to move faster than their competitors.
That could be the defining development advantage of the next 10 years for the economy.
The Regions That Solve Deliverability Will Win the Next Investment Wave
Competition for electricity is affecting more than just utility planning.
It is also altering economic development.
For years, states were competing with one another to attract businesses by offering incentives. They vied for workers. Moreover, they were competing in terms of available land and the speed with which they could issue permits.
Those are still considerations when deciding where to invest.
But they’re not enough anymore.
A region can bring to the table a generous package of incentives and a good labor pool. Yet it still can lose a billion-dollar investment if they can’t deliver power within the time frame needed, anyway.
And that is producing a new divide between breathing space and desiccated areas.
Some regions anticipate demand for the future. Others are responding to it.
It makes a difference.
Deliverable Power Is Becoming a Competitive Asset
Most development strategies concentrate on drawing investment.
Fewer policies are aimed at getting infrastructure ready in advance of investment.
That approach worked in part because demand increased slowly. Utilities had time to respond. Development often preceded infrastructure expansion.
It’s a different market today.
AI developers, EV manufacturers, advanced manufacturers — they want certainty. They want realistic timelines. Most of all, they want to be sure that the power will be there when they finish building.
Therefore, the ability to deliver power is becoming a source of competition.
An area with open capacity can accelerate projects.
A region with severe grid constraints might have difficulty competing, even if it has more attractive incentives.
This change is challenging the way economic development agencies think.
More and more, they’re working with utilities rather than behind them.
The partnership is increasingly critical because the availability of power is now playing a bigger role in Investment decisions at earlier stages of the process.
Infrastructure Readiness Is Replacing Reactive Planning
In the past, many utilities simply built out their infrastructure after demand showed up.
That model is much harder to maintain when you have multiple big-load customers moving in at once.
Planning on the fly causes delays.
Developers wait for studies.
Utilities wait for approvals.
Projects are waiting for upgrades.
Those delays eventually ripple into investment decisions.
Hence the growing attention to infrastructure readiness in the industry.
Strategic investment by utilities before the arrival of demand can help to reduce uncertainty for developers of these projects. Furthermore, they can also reduce timelines and increase regional competitiveness.
That doesn’t mean building infrastructure everywhere.
It means you identify potential growth corridors and you plan for future demand before it’s pressing.
Regions that adopt this strategy could see a substantial gain against the rest of the world over the next decade.
The New Race Is Not for Electricity. It Is for Speed.
The discussion is usually about electricity demand.
A more important discussion is when.
Numerous areas can turn on the power.
There are far fewer areas that can offer power on demand.
That distinction matters more and more.
A firm that waits three years for a connection may never get to take advantage of market opportunities. It may delay hiring. It can also delay revenue generation and business expansion plans.
Meanwhile, a rival may get up and running far sooner in another part of the world.
For all of these reasons, time-to-power is one of the most important measures for competitiveness.
Developers want certainty.
Investors want certainty.
Utilities are increasingly also interested in certainty.
More investment will flow to regions that reduce uncertainty.
Faster-growing regions will attract more growth.
And regions with solutions to deliverability challenges are also the next wave of industry expansion.
To Sum Up
Increasing electricity demand is changing the way companies invest, utilities plan, and regions compete. With AI, EVs, and manufacturing all vying for electricity, the challenge is about much more than generation capacity. Grid capacity limits, transmission infrastructure, interconnection delays, utility planning, and demand certainty now present significant barriers to investment. And yet speed of power is becoming an important metric for competitiveness.
Those areas that can provide dependable electricity on a timely and cost-efficient basis will be best able to entice future expansion. The 8th Time-to-Power & Capacity for Data Centers Summit will be held from 18–19 August 2026 in Dallas, Texas. Join utilities, hyperscalers, energy providers, data center operators, and infrastructure leaders as they converge to discuss how to speed the delivery of power, increase utility partnerships, and also capacity growth to meet the ever-growing demand for capacity in a world that is becoming increasingly power-constrained.