Buzz Solutions Warns Power Grid Limits Will Constrain AI

Vikhyat Chaudhry, the co-founder, chief technology officer, and chief operating officer of Buzz Solutions, has published a new book titled Powering Intelligence: Why the future of AI depends on the Power Grid. The publication highlights how the exponential growth of artificial intelligence is outstripping the capacity of the electrical grid. Chaudhry, whose company was founded in 2017 and recently secured a $20 million Series A funding round, argues that while artificial intelligence technologies can scale in just months, physical power infrastructure requires decades to build and upgrade.

According to Chaudhry, the most immediate bottlenecks are not in power generation itself, but in transmission, interconnection queues, and supply chain delays for critical hardware like large electrical transformers. Data centers running massive AI workloads introduce highly concentrated, volatile power demands that traditional utility planning models cannot easily accommodate. To prevent households from subsidizing these upgrades, Chaudhry advocates for strict contractual safeguards, such as minimum-take contracts and large-load tariffs, ensuring that tech companies bear the financial risks of their energy demands.

Despite these challenges, Chaudhry believes AI itself will provide the tools to modernize the grid. His company's PowerAI platform already helps major utilities, including Dominion, Ameren, AEP, NYPA, and Southern, analyze imagery from drones and helicopters to identify infrastructure defects. By deploying machine vision for predictive maintenance, load forecasting, and transmission optimization, utilities can squeeze more capacity out of existing assets. However, Chaudhry cautions that while training workloads can be shifted to off-peak hours, latency-sensitive inference workloads remain inflexible.

Looking ahead to 2031, Chaudhry predicts that access to reliable electricity, rather than chips or talent, will define which regions lead the global AI expansion. While next-generation energy sources like small modular reactors and geothermal power will play a role in the future, they are unlikely to resolve immediate constraints by 2027. Success will require policymakers, utilities, and technology firms to coordinate their timelines and treat grid capacity as a vital strategic asset.