News Talks by Times Higher Education
Aug 20, 2026 · 29 min · 13 segments
We discuss the environmental implications of mass GenAI adoption across higher education and why universities are failing to account for it’s use in their quest to reduce carbon emissions \…
Juliette RowsellGuest
Miranda PrynneHost
Back in 2021, ahead of the COP26 Climate Summit, more than 1,000 universities and higher education colleges worldwide pledged to become completely carbon neutral by 2050, with some even setting a target of 2030.

In line with that, the representative body, Universities UK, made a sector-wide climate commitment for universities to set targets for reducing scope one, scope two, and scope three emissions.

So that's sources within their direct control, but also emissions from the making and transporting of products and services that they use.

Most UK universities now have whole teams dedicated to improving sustainability and put out annual reports on their progress in cutting carbon emissions.

Notably LSE, the London School of Economics and Political Science, was declared carbon neutral for its measured emissions in 2021.

And measured is the key word here, as this was a result of cutting direct emissions by 44% over 15 years.

And to offer another example, the University of Reading has cut emissions by 63%.

Since November 2022, when ChatGPT was first released to the general public, there's been an exponential rise in the use of generative AI tools across society and indeed across higher education.

And as anyone who works in the sector knows, this has resulted in much hand-wringing and debate relating to academic integrity, graduate employment, to the authenticity of learning, data privacy, misinformation, the reliability of the AI outputs.

The one concern that is notable by its absence seems to be that of the environmental cost.

So why are universities seemingly looking the other way on AI's carbon outlay? Our reporter, Juliet Roussel, investigated this question, and she is here with me today to bring us the latest on the evolving relationship between universities and AI and the implications for net zero.

Back in 2021, ahead of the COP26 Climate Summit, more than 1,000 universities and higher education colleges worldwide pledged to become completely carbon neutral by 2050, with some even setting a target of 2030.

In line with that, the representative body, Universities UK, made a sector-wide climate commitment for universities to set targets for reducing scope one, scope two, and scope three emissions.

So that's sources within their direct control, but also emissions from the making and transporting of products and services that they use.

Most UK universities now have whole teams dedicated to improving sustainability and put out annual reports on their progress in cutting carbon emissions.

Notably LSE, the London School of Economics and Political Science, was declared carbon neutral for its measured emissions in 2021.

And measured is the key word here, as this was a result of cutting direct emissions by 44% over 15 years.

And to offer another example, the University of Reading has cut emissions by 63%.

Since November 2022, when ChatGPT was first released to the general public, there's been an exponential rise in the use of generative AI tools across society and indeed across higher education.

And as anyone who works in the sector knows, this has resulted in much hand-wringing and debate relating to academic integrity, graduate employment, to the authenticity of learning, data privacy, misinformation, the reliability of the AI outputs.

The one concern that is notable by its absence seems to be that of the environmental cost.

So why are universities seemingly looking the other way on AI's carbon outlay? Our reporter, Juliet Roussel, investigated this question, and she is here with me today to bring us the latest on the evolving relationship between universities and AI and the implications for net zero.
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