Episode Summary
Executive Summary: The episode argues that commercial and industrial (CNI) battery storage is finally becoming economically viable after years of lagging residential and utility-scale storage. Tim Haid says the shift is driven by rising and more dynamic electricity rates, new capacity-value opportunities, plunging battery and transaction costs, and AI-enabled automation that can slash soft costs. He also highlights aggregation and bring-your-own-capacity as the next growth engine.
Main Topics: Why CNI storage lagged historically (Priority: 5/5): CNI storage underperformed because the value proposition was rarely strong enough for customers, especially compared with utility-scale projects and resiliency-driven residential adoption. Early CNI efforts often depended on subsidies or edge cases rather than broad market economics. Revenue stack improvements for behind-the-meter batteries (Priority: 5/5): Tim breaks storage revenue into time-of-use arbitrage, demand charge management, ancillary services, and capacity. He argues that rising rates, peakier load, and especially capacity-market stress have made the revenue stack much more attractive. Capacity markets and bring-your-own-capacity (Priority: 5/5): A major new opportunity is capacity value, including bilateral arrangements with hyperscalers seeking fast power. The conversation emphasizes bring-your-own-capacity as a way to monetize distributed storage at scale. Hardware cost declines and product maturation (Priority: 4/5): Battery system costs have fallen sharply, and more CNI-appropriate products are emerging in the 100 kW to 1 MW gap. While utility-scale and residential markets are more mature, CNI is beginning to attract more suppliers and better pricing. Soft-cost compression through AI and standardization (Priority: 5/5): The guest argues transaction costs are being reduced dramatically through agentic AI for modeling, contracts, interconnection, and financing workflows. Installation costs should also fall as contractors gain experience and the market scales. Aggregation as the key to serving hyperscalers (Priority: 4/5): Individual CNI projects are too small to matter to data center developers, but aggregated portfolios can become gigawatt-scale capacity resources. Voltis’ role is presented as crucial in connecting site-level batteries to large load growth.
Key Arguments: CNI storage historically failed because economics, not technology alone, were insufficient for most customers. Residential storage has often been driven by resiliency; CNI customers are more cost-sensitive and need clear bill savings. Time-of-use rates and demand charges have become more favorable to batteries as peak electricity periods get more expensive. Capacity value is now a major new revenue stream because grid constraints and hyperscaler demand are pushing prices up. In PJM, capacity prices have risen dramatically, making bilateral capacity solutions more attractive than relying solely on market auctions. Battery hardware costs have fallen substantially, improving project economics even before soft-cost reductions. AI agents can automate repetitive transaction work, cutting transaction costs from roughly $200/kWh to as low as $25-$50/kWh. Installation costs should fall as the market matures and electricians/builders develop repeatable CNI battery expertise. CNI battery adoption could accelerate because utility-scale projects face long interconnection queues, leaving distributed resources as a faster path to deployment. Aggregation is essential because hyperscalers think in gigawatts, while individual CNI batteries operate at the megawatt scale.
Data Points: Total U.S. storage on grid pre-2020: less than 2 gigawatts - Tim Haid used this to show storage is still a recent market Total U.S. storage on grid in 2025: about 40 gigawatts - Illustrates rapid growth in battery deployment over five years Share of added storage that is utility-scale: about 90% - Haid said most storage additions have been utility-scale Share of added storage that is residential: about 10% - Residential has been the remaining meaningful category Share of added storage that is CNI: basically zero - Haid’s characterization of CNI’s historical market share Potential CNI savings threshold: 5% of net electricity spend - Haid’s heuristic for when a project is worth discussing Strong project threshold: more than 10% reduction in net electricity spend - He said projects above this level are especially compelling PJM capacity price increase: 11x in 36 months - Used as evidence of surging capacity value ERCOT battery dispatch example: 10 gigawatts - On a hot day, batteries dispatched heavily and limited price spikes ERCOT net load record context: prices never rose above $250/MWh - Haid used this to show battery effects on market prices Interconnection wait in PJM: about 6 years - For net-new utility-scale battery projects Interconnection wait in CAISO: about 9 years - Used to illustrate severe queue constraints Interconnection wait in ERCOT: about 4 years - Still lengthy, though shorter than PJM/CAISO Typical CNI project cost: about $800/kWh - Haid’s benchmark for an average CNI battery project Hardware plus software cost bucket: about $400/kWh - Roughly $300-$400 hardware plus about $100 software Soft-cost bucket: about $400/kWh - Includes installation and transaction costs Installation cost component: about $200/kWh - Part of the soft-cost bucket Transaction cost component: about $200/kWh - Permitting, interconnection, financing, customer acquisition, modeling Current transaction-cost projects: $25-$50/kWh - Haid says Brightfield/Voltis-style workflows are already reaching this range Projected transaction-cost reduction: 90% reduction over 3 years - From about $200/kWh to about $20/kWh Projected installation-cost reduction: 50% reduction over 5 years - From about $200/kWh to about $100/kWh Projected total CNI battery cost after reductions: about $510/kWh - Assuming hardware/software remain around $400/kWh and soft costs fall ITC base rate for storage: 30% - Storage qualifies for a base federal investment tax credit ITC with domestic content and energy community adders: up to 50% - Haid noted many projects can reach this level Battery cost decline at pack level: about 40% in 18 months - Haid cited a rapid decline in battery costs Battery cost decline at system level: about 30% in 18 months - Used to show lower all-in project costs Early CNI sales hit rate: about 5% - Haid described historical customer acquisition difficulty Current CNI sales hit rate: about 30% - Used to show easier selling as value proposition improves Commercial load blocks below 100 kW: served by stacked small-form-factor products - For small commercial facilities using residential-like units Commercial and industrial gap: 100 kW to 1 MW - Haid identified this as the under-served product band for CNI Utility-scale project block size: about 1 MW - Used to explain why utility products can sometimes serve CNI above 1 MW
Pivotal Quotes: "The juice wasn't worth the squeeze." — Tim Haid: Explaining why early CNI storage projects struggled to win broad adoption "A lot of folks in the CNI world have stopped thinking about that economic benefit as a vitamin and have started thinking about it as a painkiller." — Tim Haid: Describing how rising electricity costs have made storage savings feel urgent rather than optional "Hyperscalers think in gigawatts, not megawatts." — Tim Haid: Explaining why aggregation is necessary to make distributed CNI storage relevant to data center customers
Implications: CNI storage may finally scale if software, financing, and aggregation keep lowering friction while capacity prices and grid constraints remain high. The winners will combine site-level deployment with portfolio aggregation for hyperscaler demand.