Thenation iconThenationOct 1, 2026 ~5 min source read

The AI Data Center Buildout Is Boosting Fossil Fuel Investment, Says Ketan Joshi

A conversation on Tech Won’t Save Us outlines how hyperscale data center expansion — framed as necessary for AI — is entangling Big Tech with fossil fuel companies, while governments permit projects and companies downplay the climate consequences. The discussion focuses on how this plays out in Australia.

The AI Buildout Is a Boon for the Fossil Fuel Industry—With Ketan Joshi

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Useful takeaways from this story.

Hyperscale data center expansion is creating new demand for large-scale energy supply, which is attracting fossil fuel investment.

Tech companies are collaborating with fossil fuel producers and utilities to build or justify energy infrastructure, while public messaging understates climate impacts.

Governments are permitting and facilitating data center projects, enabling local fossil fuel or nonrenewable energy plans to proceed.

# What this story covers

Tech Won't Save Us host Paris Marx interviews climate writer and data analyst Ketan Joshi about the links between the current data center buildout for AI and an increase in fossil fuel investment. The episode centers on how large-scale data center projects create new grid-scale energy demand, how tech companies and energy firms collaborate, and how governments respond — with Australia presented as a practical example.

# How data centers create new energy demand

Hyperscale data centers require sustained, high-capacity power. The expansion driven by AI workloads increases local and regional electricity demand where these facilities locate. That demand becomes part of planning conversations about new generation capacity, grid upgrades, and transmission. When renewable options or storage are constrained, the response can include gas or other fossil-based supply solutions.

# Who is involved and how they work together

# Australia as an example

Australia is highlighted as a case where data center development and energy planning intersect visibly. The episode references real-world projects and planning choices in the country that show how data center siting can influence decisions about new generation and fossil fuel investment. The NEXTDC facility in Canberra is pictured in the episode materials as representative of the scale and siting issues at play.

# Practical consequences to track

  • Local and regional energy planning can tilt toward fossil solutions when data centers promise long-duration, high-volume demand.
  • Long-term power purchase agreements and infrastructure commitments made to support data centers can lock in generation choices for years or decades.

# What listeners and readers should watch for next

  • Announcements of new hyperscale data center projects and the accompanying energy plans or power purchase agreements.
  • Government approvals, exemptions, or expedited processes tied to data center development.
  • Collaborations or contracts between tech firms and fossil fuel companies, utilities, or pipeline operators.

# Who Ketan Joshi is

Ketan Joshi is identified as a climate writer and data analyst based in Oslo who works with climate and environmental groups. He appears on the Tech Won't Save Us podcast to explain the data-driven links between the AI-related data center buildout and fossil fuel investment trends.

# Why this matters

Decisions about where to place and how to power large data centers have long-term implications for local energy systems and emissions trajectories. When governments facilitate rapid buildouts and industry partnerships tilt toward fossil solutions, the stated climate benefits of AI and cloud services can be undermined by the resulting energy infrastructure choices.

# Bottom line

The podcast frames the AI-driven data center expansion as more than a tech-industry infrastructure story: it is an energy and climate-policy story with concrete effects on fossil fuel investment. The Australia example is used to show how these dynamics play out in practice and to suggest the kinds of policy and contract-level decisions that determine whether new demand leads to cleaner or dirtier energy outcomes.

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