Who Pays the Price for the AI Economy? From Power Grids to American Ownership

Who pays the price of the AI economy, and who gets to decide? The top two stories highlighted this week are about who absorbs the rising costs of the AI economy at a moment when affordability is already politically fragile. I also provide my quick take on the pending Supreme Court decisions on executive power that has implications beyond AI governance. These executive-authority cases matter because they may define who can respond when economic pressure rises --Congress, agencies, the president, courts, or states.

In this edition:

AI Infrastructure: Federal regulators push grid operators to speed power access for AI data centers
AI Ownership: Sanders introduces bill giving Americans a stake in AI companies
SCOTUS Update: Supreme Court nears decisions on executive power

AI & Infrastructure: Federal regulators push grid operators to speed power access for AI data centers

WHAT HAPPENED

On June 18, the Federal Energy Regulatory Commission (FERC) issued tailored show-cause orders to all six regional grid operators under its jurisdiction. FERC directed them to justify or reform the rules that govern how data centers, manufacturing facilities, and other large energy users connect to the electric grid. The agency said the action is meant to deliver “speed-to-power” for the innovation economy and national security while protecting ratepayers. The six grid operators named by FERC are PJM, MISO, SPP, CAISO, ISO-New England, and NYISO. FERC told grid operators to respond within 30 days on how they will ensure there is adequate power supplies for new and future data centers, and within 60 days on plans to integrate large power users in line with the new guidelines. The order followed pressure from Energy Secretary Chris Wright, who urged FERC to act so the U.S. can better compete with China in AI. Tech companies and data center developers welcomed faster access, while utilities, states, and regional operators had worried about losing authority over connection processes. FERC said states will retain control over retail rates, terms, and conditions.

BUSINESS RISK

FERC's orders present a direct operating issue for AI developers, cloud providers, manufacturers, utilities, and large power users. FERC’s order could accelerate connection pathways, but the agency also acknowledged the need to prevent cost shifting and require transparency into transmission costs. That means faster access may come with more scrutiny over who pays for upgrades.

At the same time, data center construction is already hitting roadblocks, including permitting delays, local opposition, bottlenecks around gas turbines and transformers, and skilled labor constraints. These roadblocks have real implications for on the ground for workforce and project-delivery timelines, that move the debate around AI outside of the policy debate. And as Americans and politicians are increasingly concerned about affordability, there is growing backlash against data centers over energy and water use, noise, air pollution, water shortages, and loss of open space or farmland. Companies building large-load projects should not treat community support as a given, as local concerns can quickly become a brand and approval risk.

DO THIS WEEK

Use FERC’s actual 30-day and 60-day deadlines as the planning frame. Track filings from the relevant RTO or ISO serving your facilities. For companies building or sourcing from large-load sites, separate two questions: whether connection rules become faster, and whether adequate generation, transmission capacity, and local permitting can keep pace.

WHAT TO WATCH NEXT

Watch how grid operators begin framing their compliance approach. The first signal will not be final tariff reform. It will be whether operators lean toward defending existing rules or preparing changes.

AI & Ownership: Sanders introduces bill giving Americans a stake in AI companies

WHAT HAPPENED

On June 18, Sen. Bernie Sanders introduced the American AI Sovereign Wealth Fund Act. His office says the bill would give the public 50% ownership in the largest AI companies through a one-time 50% tax on stock, deposited into a sovereign wealth fund. The proposal would create a seven-member Independent Commission for Democratic AI, nominated by the president and confirmed by the Senate, to manage the fund. Sanders’ office estimates the fund would be worth about $7 trillion and says a 5% annual dividend could provide more than $1,000 to everyone in America.

New AI companies would be swept into the fund if they reach a certain size, such as $200 million in annual sales, and that large technology companies with AI and non-AI businesses could be required to separate those businesses. The bill faces a steep climb in a Republican-controlled Congress.

BUSINESS RISK & MORE

The immediate operational risk is limited because this is introduced legislation, with an unclear path. The larger signal is that AI companies are moving from innovation policy into distributional politics at a time when affordability is top of mind as we head into the mid-terms. The questions about who owns the gains, who absorbs the losses, and whether AI units inside diversified companies should be separated for public ownership purposes are worth companies attention today.

As Sanders framed the bill around risks to jobs, privacy rights, and mental health, we can expect the issue of who pays to remain a focal point in Congress. AI companies and AI-heavy businesses face a growing public narrative that the technology’s gains are concentrated while its costs are socialized. Whether or not Sanders’ bill advances, that frame can shape hearings, campaigns, investor questions, and employee sentiment.

The question for leadership at any company is whether the business can explain how AI gains are being shared with workers, customers, and communities. That is directly tied to the stated rationale of the bill. Watch for co-sponsors, committee activity, and responses from the White House, Senate leadership, and major AI firms. The bill’s probability may be low, but the ownership frame is now formally in legislative text; and the general concept is one that Trump has previously expressed some willingness to entertain.

SCOTUS Update: Supreme Court nears decisions on executive power

WHAT HAPPENED

The Supreme Court is approaching the end of its term with four remaining cases involving President Trump’s efforts to expand executive power, including challenge's to the Trump administration's immigration policies and the president’s power to fire government officials, and the Court is expected to clear its docket before the justices begin their summer break. These decisions are likely to shape the president’s relationship with the Court and Congress for the remainder of his time in office.

BUSINESS RISK & MORE

The direct business issue is around the speed at which the Trump administration can enact change. For instance, if the Court narrows executive power, some agency or immigration actions may slow or be constrained. If it validates broader presidential authority, federal policy may move faster through executive action. Companies may be pulled into disputes over compliance, worker protections, agency independence, and rule-of-law concerns. The reputational risk is highest when a company reacts to a political signal before they've properly assessed their risk profile and the actual ruling is clear. As a next step, organizations should scenario plan and identify which parts of the business are exposed to executive actions currently pending a decision, including litigation around immigration status, agency removal authority, federal approvals, enforcement discretion, or regulated-market decisions. We'll be watching for these SCOTUS decisions as the Court nears the end of its term.

The Trendline

AI is becoming a full-spectrum political economy issue. The grid story shows that AI growth now depends on physical infrastructure, state-federal jurisdiction, and local acceptance. The Sanders bill shows that AI wealth concentration is entering mainstream legislative debate, even if the specific proposal faces major hurdles. The Supreme Court story adds the institutional overlay: the speed and reach of federal policy still depend on constitutional limits that are actively being tested. My read: the dominant business risk this week is not anti-AI backlash or pro-AI deregulation by itself. It is that AI’s expansion is now large enough to force hard political choices over power, ownership, labor, and executive authority.

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