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The Heartland Institute, a notorious climate denial group, is urging states and tech companies to revert to coal power for energy-intensive AI data centers, raising significant environmental concerns.
The Heartland Institute, known for its history of spreading climate disinformation, has set its sights on a new target: convincing big tech companies to use coal to power their massive data centers. This push comes at a time when the world is increasingly aware of the urgent need to transition to renewable energy sources. The group’s message, delivered at the American Legislative Exchange Council (ALEC)’s 2025 annual meeting, highlights a concerning trend that could undermine global efforts to combat climate change.
At the ALEC event in Indianapolis, Heartland Institute President James Taylor addressed state lawmakers and other attendees, asserting that "the climate crisis simply does not exist." This stance is not new for the Heartland Institute, which has a long history of attacking established climate science. However, Taylor’s speech introduced a twist: the promotion of coal as a viable energy source for AI data centers.
The Heartland Institute's push to bring back coal is particularly alarming given the environmental impact of fossil fuels. Coal is one of the most carbon-intensive sources of energy and contributes significantly to air pollution and greenhouse gas emissions. Despite this, Taylor argued that coal can and should make a major comeback, especially in the context of powering data centers for AI systems and cryptocurrency mining.
To date, many big tech companies have been wary of embracing coal. Companies like Google, Amazon, and Microsoft have made significant strides in transitioning to renewable energy sources for their data centers. For example, Google has committed to running its operations on 24/7 carbon-free energy by 2030, while Amazon aims to reach net-zero carbon emissions by 2040.
The tech industry’s reluctance is driven by both environmental concerns and public pressure. Consumers and investors are increasingly demanding that companies take a responsible approach to their environmental impact. The economic viability of renewable energy has improved dramatically in recent years, making it a more attractive option for many businesses.

However, the Heartland Institute’s efforts could still influence some states and policymakers who are less committed to climate action. By framing coal as a cost-effective and reliable source of energy, the group is attempting to sway decision-makers who may be swayed by short-term economic benefits rather than long-term environmental consequences.
The push for coal in data centers highlights the ongoing tension between technological advancement and environmental sustainability. As AI systems become more prevalent and data centers continue to expand, the energy demands of these technologies will only grow. The choice of power source is critical, as it will have significant implications for global carbon emissions and climate change.
Policymakers and tech companies must carefully consider the long-term consequences of their energy decisions. While coal may offer short-term economic benefits, the environmental costs are too high to ignore. Renewable energy sources like wind, solar, and hydro power provide a cleaner and more sustainable alternative that aligns with global climate goals.
The Heartland Institute’s efforts to revive coal for data centers serve as a reminder of the persistent challenges in achieving a transition to a low-carbon economy. It is crucial for stakeholders to stay informed, advocate for evidence-based policies, and support the development of renewable energy solutions to ensure a sustainable future.
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Climate Denier Group Pushes States to Embrace Coal Power for Data Centers
↗ https://www.desmog.com/2026/05/20/heartland-institute-climate-denier-group-pushes-states-to-embrace-coal-power-for-data-centers
About the author
Amara's entry point into AI was an epidemiology role at a London research hospital, where she spent five years studying how digital health tools reached — or conspicuously failed to reach — underserved communities. Watching early algorithmic systems in healthcare quietly entrench existing inequalities, she redirected her career toward the systemic consequences of AI at scale. She covers AI through an unflinching lens: who benefits, who bears the cost, and what evidence actually says versus what the press release claims. Her writing is calm and precise, but she doesn't mistake balance for neutrality.
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22 May 2026
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