Jaeden Schafer: AI Power

Summary of Jaeden Schafer: AI Power

by The Jaeden Schafer Podcast

11mJanuary 21, 2026

Overview of Jaeden Schafer: AI Power (The Jaeden Schafer Podcast)

This episode examines a recent Trump-administration-backed push to have large tech firms help finance new electricity generation — roughly $15 billion worth — by bidding on long-term power contracts in PJM’s capacity market. The host explains why surging data-center and AI compute demand is straining regional grids, why renewables and batteries alone are insufficient today for always-on loads, and how long-term contracts from big tech could accelerate construction of dispatchable generation while reallocating cost and risk.

Key takeaways

  • The administration and several governors asked PJM Interconnection (the grid operator serving ~65 million people across ~13 states) to run an emergency capacity auction aimed at procuring new generation capacity under long-term contracts.
  • The plan would have large tech users sign 15-year power purchase agreements that help underwrite construction of new power plants (estimated impact ~ $15 billion).
  • Long-term contracts can lower financing costs and speed project buildout by guaranteeing revenue to developers.
  • Renewables + batteries are helpful but currently limited for continuous, long-duration needs; data centers require firm 24/7 power.
  • Critics worry about making tech pay for capacity they might not actually use; PJM is still reviewing the proposal and has not fully endorsed it.
  • The move shifts debate toward more explicit planning of energy infrastructure to match accelerating compute demand — with implications for consumers, competitiveness, and reliability.

Background & context

  • PJM Interconnection: regional grid operator covering ~13 states and ~65M Americans; manages capacity markets used to assure future reliability.
  • Capacity auctions: mechanism to secure future generation; high recent prices signal strain as load forecasts rise (driven in part by data centers and AI compute).
  • Build timelines & financing: large, dispatchable generation projects take years and need predictable revenue streams to be financed.

Examples and illustrative anecdotes (from episode)

  • Microsoft offered funding to reactivate or retrofit decommissioned nuclear sites (Three Mile Island mentioned) in exchange for power contracts.
  • The host referenced reports of a large AI/data-center operator (xAI referenced) that deployed many portable diesel generators at a facility when grid supply was insufficient.
  • Personal notes: host observed their residential electric bill in Arizona roughly doubling over a few years despite no change in consumption; also shared a sailing anecdote about solar + batteries failing during multi-day storms to illustrate intermittency limits.

Pros and cons discussed

Pros

  • Accelerates construction of dispatchable capacity required for constant loads.
  • Aligns costs with major demand drivers (tech) instead of pushing costs solely onto residential ratepayers.
  • Long-duration contracts reduce financing costs and enable quicker buildout.
  • Helps U.S. remain competitive globally in AI and large-scale compute.

Cons / concerns

  • Political controversy tied to administration and allocation of costs.
  • PJM and other stakeholders may resist or push back; proposal is under review.
  • Risk of overpaying for capacity tech companies might not fully utilize.
  • Limited pool of decommissioned facilities (e.g., nuclear) that can be reactivated; not a scalable universal solution.
  • Environmental and community concerns around building new baseload plants (type unspecified in episode).

Technical constraints emphasized

  • Intermittent renewables (solar, wind) are valuable but not always sufficient for round-the-clock, high-intensity loads.
  • Battery storage helps (short/mid duration) but current battery economics/technology limit long-duration backup for continuous data-center operations.
  • Multiple complementary energy sources (renewables + storage + firm generation) are needed for resilient, reliable supply.

Implications

  • For consumers: If successful, the plan could slow near-term rate spikes by increasing capacity rather than shifting costs indirectly to households.
  • For tech companies: Firms may be asked (or pressured) to underwrite energy infrastructure to secure the power they require.
  • For U.S. competitiveness: Faster buildout of generation could help close gaps vs. nations rapidly expanding power capacity.
  • For markets and regulators: Sparks debate about market design, responsibility allocation, long-term planning, and how capacity auctions are structured.

Recommendations / action items (from episode’s logic)

  • Encourage diversified energy portfolios: combine renewables, long-duration storage R&D, and firm dispatchable generation.
  • Use long-term, market-based contracts to provide certainty to developers while protecting consumer interests.
  • Improve regional planning and demand forecasting to avoid ad-hoc emergency responses (e.g., diesel generators).
  • Monitor PJM regulatory review and stakeholder negotiations to track implementation details and safeguards.

Notable quotes / host insights

  • “We need more power consumption.” (pointing to the need to expand capacity to match demand)
  • “Data centers … need a firm, dependable 24/7 electricity.” (on why intermittent resources alone aren’t enough)
  • “Long-term contracts bring a lot of certainty that private developers need to invest in big power projects.”
  • Personal: host’s Arizona electricity bill “literally doubled” in recent years without increased usage — used as a sign of broader rate pressure.

Status and next steps

  • The proposal is in motion but under PJM review with multiple stakeholders weighing in; outcomes will depend on market rules, regulatory approvals, and negotiations between grid operators, utilities, tech companies, and state governments.
  • Watch for how capacity auction rules are adjusted, whether large tech firms sign long-term contracts, and what types of generation those contracts ultimately finance.

Closing note: The episode also included a brief sponsor mention for AIbox.ai (a $20/month aggregator for multiple AI models).