California just launched one of the most consequential experiments in grid modernization, and most of the business community hasn’t noticed yet.

In March, Momentum announced the public launch of the Industrial, Agriculture, and Water Load Flexibility Hub, known as IAW FlexHub. Funded by the California Energy Commission through the Electric Program Investment Charge, with additional backing from Southern California Edison and PG&E, the Hub brings together Momentum, UC Davis, EPRI, and Lawrence Berkeley National Laboratory to do something California desperately needs: turn the state’s industrial, agricultural, and water sectors int

The CEC has committed up to $17 million to the effort, with the first $10.6 million already funding four demonstration projects. The Hub is also accepting demonstration project concepts from individuals, businesses, and research institutions, which means this is not a closed-door academic exercise. It’s an open door for cleantech entrepreneurs.

Why Industrial, Agriculture, and Water?

These three sectors are some of the largest, most flexible electricity consumers in California, yet historically among the least integrated into grid operations. Irrigation pumps, water treatment systems, cold storage, and industrial processes all have natural windows of operational slack. They can shift when they draw power without shifting what they accomplish. The CEC’s founding solicitation for the Hub frames this directly: aligning electricity consumption with dynamic grid conditions is essential to meeting California’s climate and clean energy goals.

That flexibility is exactly what California’s grid needs as renewable generation becomes the dominant resource. Solar floods the system midday and disappears at sunset. The old model of building more capacity to meet every peak is expensive and slow. The smarter path, and the one IAW FlexHub is built to prove out, is unlocking the flexibility that already exists across the economy.

The Marginal Cost to Consumer Connection

This is where Marginal Cost to Consumer, or MCC, becomes the business case rather than just an engineering concept.

Every kilowatt-hour on the grid has a real-time cost of delivery that swings based on what’s actually happening on the system at that moment: which generators are running, how congested the lines are, how close the grid is to its limits. CAISO captures this through Locational Marginal Prices at thousands of points across the network. The problem is that almost no customer ever sees that signal. Most ratepayers pay flat or seasonal rates that bear little resemblance to the true marginal cost of the power they’re using.

Research funded by the CEC, including work on Transactive Load Management pricing, has shown that translating wholesale marginal prices into usable signals for demand-side resources can meaningfully shift consumption toward lower-cost, lower-emission periods. When industrial, agricultural, and water operators can see and respond to something closer to the true marginal cost of electricity, instead of a flattened average, the entire system benefits. Peak demand drops. Expensive and dirty peaker plants run less. Savings flow back to all ratepayers, not just the large customers who can negotiate special rates.

IAW FlexHub is, in effect, a real-world laboratory for closing the gap between what the grid actually costs at any given moment and what consumers are signaled to do about it. Get that right at scale, and the affordability conversation in California changes.

Where AI Fits In

AI is reshaping this story from two directions at once, and both matter to anyone building a business in this space.

On one side, AI is a demand driver. Data centers and AI training infrastructure are adding load to the California grid faster than almost any other source, and that growth is colliding directly with the state’s clean energy and reliability goals. The grid cannot simply build its way out of that demand fast enough.

On the other side, AI is one of the most powerful tools available for managing that demand. Forecasting load shapes across thousands of irrigation systems, water facilities, and industrial sites; optimizing when flexible loads should shift; predicting grid stress before it happens; these are exactly the kinds of problems machine learning is suited to solve. The same technology straining the grid is also the technology best positioned to help operate it intelligently.

IAW FlexHub sits right at that intersection. The demonstration projects it funds will need AI-driven forecasting, optimization, and control to make load flexibility commercially viable and scalable, not just a pilot-stage curiosity.

A Model California Can Export

If IAW FlexHub succeeds, it won’t stay a California story. The Hub is explicitly designed for scalability and replicability, with the goal of producing standards, best practices, and proven technologies that other states and countries can adopt. California has a long history of writing the playbook other markets eventually follow, from vehicle emissions standards to renewable portfolio mandates. Grid-interactive load flexibility in industrial, agricultural, and water sectors could be next.

For investors, startups, and researchers, that means the window to build, test, and prove technology here is open right now, with state funding actively seeking partners. For regulators and utilities, it’s a chance to pressure-test marginal cost pricing concepts in the field before they become policy.

Where CleanStart Comes In

These are exactly the conversations CleanStart exists to convene: the intersection of grid innovation, AI, and business opportunity, grounded in what’s actually happening in Sacramento and across California’s energy landscape.