ThinkLabs CEO Josh Wong discusses organizational silos and handoff gaps between planning and operations departments within electric utilities.
0:00 / 0:13exact quote · 13.5s
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“Of course, each utility might be different, but that is a very, very rare scenario, that they, these study assumptions and results actually feed into operations because they're measured by the different results and KPIs and all that kind of stuff.”
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More from Josh Wong
AssertionNot checkable as stated
Wong: ThinkLabs cuts nine-month grid interconnection studies to under 10 minutes
“So studies that would take previously nine months, right, as I mentioned, interconnection studies, now it takes us only a matter of a couple of minutes, like 10 minutes or less.”
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Wong: AI has higher potential upside in grid operations than planning
“I think it is the complete opposite. I think the potential is even higher.”
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Opinion
Wong: The grid has enough latent capacity for most data centers today
“So let me just make a statement here, which is, I believe the grid has enough existing latent capacity to connect the majority, if not all of the data centers today.”
Josh WongAug 20, 2026▶ 37:27Can AI revolutionize grid operations?
AssertionSupported
Wong: Transmission interconnection studies take 6-9 months and cost $250K
“I think most utilities are talking about six to nine months to perform one of those studies, and it's a one-time, right, so risk of restudies will compound that, and it does cost internal utility, typically a hundred, A couple of 100,000 dollars. The typical b…”
Josh WongAug 20, 2026▶ 11:07Can AI revolutionize grid operations?
AssertionPartly supported
Wong: SCE projects up to 10,000 monthly energization requests taking 30-45 days
“I think when we public study that we did with SCE, I think they are projecting like up to 10,000 of these energization requests per month, and each one of them takes like 30 to 45 days.”
Josh WongAug 20, 2026▶ 12:44Can AI revolutionize grid operations?
AssertionNot checkable as stated
Wong: ThinkLabs' physics-informed AI models are deterministic and cannot hallucinate
“So our models actually can't hallucinate. It's actually deterministic. You ask it the same thing, it will give you the same answer all the time.”
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