Venturing with Vishesh — Startup Founder Interviews on SaaS, AI, Fundraising & Venture Capital.
Oct 7, 2026 · 34 min · 12 segments
\# AI's Real Bottleneck Is Not Chips. It Is the 100-Year-Old Grid.## Guest IntroductionI'm joined by Vikhyat Chaudhry, Co-Founder at Buzz Solutions. He's Forbes 30 Under 30 in Energy and just…
Vikhyat ChaudhryGuestVishesh DuggarHostYou've spoken about AI data centers causing gigawatt scale load swings in seconds.

Yeah, I think that's one of the biggest problems because we've always had load growth with electric vehicles came online.

So over the last 30 years, there's always been load growth, but it has been like 0.5% annually.

But with these data centers, I call them AI factories that have came online, the load growth has shifted tremendously, 2.5%, 3% per year increase in the load growth for the utilities.

And one of the key things is with commercial buildings that have came up in the past, electric vehicles, renewable energy, distributed energy resources, you can model that kind of load because it's still a stable load.

The biggest problem is these data centers are hundreds of megawatts and sometimes gigawatt capacity data centers that are draining power that need that kind of demand.

And they ramp up really quickly, especially when these AI models that are now large language models, when you train them, they require a lot of compute.


And that's causing a lot of problems for the grid operators because they cannot model that ahead of time.

So the training piece of the AI is more spiky as compared to inference, which is still manageable.

But the training piece is causing a bit of problem for the operators to deliver power.

In order to support the construction of these massive data centers, you need to have a stable infrastructure in place.

Utilities also need to create new or construct new infrastructure because you'll need new power plants to deliver power because they are struggling to deliver that kind of capacity because these data centers are coming online within two years.

But the problem is that gap with the power sector because it takes six to seven years to build a new power plant and it takes seven to nine years to build a new transmission line.
You've spoken about AI data centers causing gigawatt scale load swings in seconds.

Yeah, I think that's one of the biggest problems because we've always had load growth with electric vehicles came online.

So over the last 30 years, there's always been load growth, but it has been like 0.5% annually.

But with these data centers, I call them AI factories that have came online, the load growth has shifted tremendously, 2.5%, 3% per year increase in the load growth for the utilities.

And one of the key things is with commercial buildings that have came up in the past, electric vehicles, renewable energy, distributed energy resources, you can model that kind of load because it's still a stable load.

The biggest problem is these data centers are hundreds of megawatts and sometimes gigawatt capacity data centers that are draining power that need that kind of demand.

And they ramp up really quickly, especially when these AI models that are now large language models, when you train them, they require a lot of compute.


And that's causing a lot of problems for the grid operators because they cannot model that ahead of time.

So the training piece of the AI is more spiky as compared to inference, which is still manageable.

But the training piece is causing a bit of problem for the operators to deliver power.

In order to support the construction of these massive data centers, you need to have a stable infrastructure in place.

Utilities also need to create new or construct new infrastructure because you'll need new power plants to deliver power because they are struggling to deliver that kind of capacity because these data centers are coming online within two years.

But the problem is that gap with the power sector because it takes six to seven years to build a new power plant and it takes seven to nine years to build a new transmission line.
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