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6 of the Largest U.S. Banks Leaving Net Zero Alliance Ahead of Trump

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12 Jan, 2025

This post was originally published on Eco Watch

Six of the largest banks in the United States have bowed out of the global Net Zero Banking Alliance (NZBA), with the inauguration of Donald Trump predicted to bring political backlash concerning climate action, reported The Guardian.

The latest to withdraw is JP Morgan, which followed Citigroup and Bank of America. Morgan Stanley, Goldman Sachs and Wells Fargo have also left the United Nations-sponsored NZBA since the beginning of December.

Bank of America and Wells Fargo skyscrapers in Los Angeles, California in 2020. vesperstock / iStock Editorial / Getty Images Plus

“JPMC is ending our membership in the Net Zero Banking Alliance (NZBA). We will continue to work independently to advance the interests of our Firm, our shareholders and our clients and remain focused on pragmatic solutions to help further low-carbon technologies while advancing energy security. We will also continue to support the banking and investment needs of our clients who are engaged in energy transition and in decarbonizing different sectors of the economy,” a spokesperson for JPMorganChase said in a statement provided to ESG Today.

The defections from NZBA come on the heels of exits from similar groups in the finance industry. In 2023, GOP litigation threats led to a mass exodus from an insurers’ net zero alliance, Bloomberg reported. And an asset managers climate organization disbanded from Vanguard Group — the second-largest money manager in the world — in 2022.

The breakup of worldwide climate associations has forced the regrouping of those in charge. The Glasgow Financial Alliance for Net Zero (GFANZ) serves as a finance industry net zero umbrella organization, and it ended last year with a message that it was going to distance itself from the other alliances. According to the latest update from GFANZ, it plans to make its advice available to financial firms that have made no commitment to a net zero pact, as well as those that have.

JPMorgan said on Tuesday that it plans to “continue engaging with GFANZ, among others, to advance pragmatic solutions and market conditions that can help further a low-carbon and energy-secure future,” as reported by Bloomberg.

According to analysts, the banking institutions’ withdrawals are a response to “anti-woke” sentiment from U.S. rightwing politicians, which are predicted to increase when Trump becomes president, The Guardian reported.

Trump’s campaign promises to deregulate energy, dismantle environmental rules and “drill, baby, drill” are predicted to become a governing reality in his role as commander-in-chief of the world’s biggest producer of oil and gas.

“The sudden exodus of these big U.S. banks out of the NZBA is a lily-livered effort to avoid criticism from Trump and his climate denialist cronies,” said Paddy McCully, a senior analyst at campaign group Reclaim Finance, as reported by The Guardian. “A few years ago, when climate change was at the front of the political agenda, the banks were keen to boast of their commitments to act on climate. Now that the political pendulum has swung in the other direction, suddenly acting on climate does not seem so important for the Wall Street lenders.”

NZBA — led by banks, but convened by the UN Environment Programme’s finance initiative — commits its members to aligning their investment, lending and capital market activities with the goal of net zero emissions by mid-century or earlier.

A spokesperson for Citigroup — a founding member of NZBA — said the financial institution’s decision to leave would allow it to “focus on addressing barriers to mobilising capital to emerging markets in support of the low-carbon transition. We remain committed to reaching net zero and continue to be transparent about our progress.”

Carbon Trust senior manager Toby Kwan said the NZBA departures could give banks more flexibility concerning which pathway they choose to align with and which sectors they include in their targets, as well as less strict timeframes.

A Republican-led House of Representatives judiciary committee in December accused “a cartel” of financial institutions and climate activists of conspiring to “impose radical ESG-goals” on companies in the U.S.

After the most recent withdrawals, 141 banks remain members of NZBA, including all of the largest banks in Europe.

“By strengthening their commitments, NZBA banks can demonstrate that they have not simply used U.S. obstructionism as an excuse to maintain the NZBA’s weak position,” McCully pointed out, saying those remaining would now have a chance to advance further.

Kwan added that NZBA’s loss of U.S. banks was not a death knell for the organization.

 “While these major financial institutions leaving the alliance raises a question mark on the future of climate action in the financial sector, the remaining NZBA members represent a significant portion of the global banking sector, controlling approximately 40% of global banking assets, or $64tn [£51tn],” Kwan said, as The Guardian reported. “This substantial influence cannot be understated, and NZBA members can drive the transition to a net zero economy.”

The post 6 of the Largest U.S. Banks Leaving Net Zero Alliance Ahead of Trump appeared first on EcoWatch.

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Turning down the heat: how innovative cooling techniques are tackling the rising costs of AI's energy demands

Turning down the heat: how innovative cooling techniques are tackling the rising costs of AI's energy demands

As enterprises accelerate their AI investments, the energy demand of AI’s power-hungry systems is worrying both the organisations footing the power bills as well as those tasked with supplying reliable electricity. From large language models to digital twins crunching massive datasets to run accurate simulations on complex city systems, AI workloads require a tremendous amount of processing power.

Of course, at the heart of this demand are data centres, which are evolving at breakneck speed to support AI’s growing potential. The International Energy Agency’s AI and Energy Special Report recently predicted that data centre electricity consumption will double by 2030, identifying AI as the most significant driver of this increase.1

The IT leaders examining these staggering predictions are rightly zeroing in on improving the efficiency of these powerful systems. However, the lack of expertise in navigating these intricate systems, combined with the rapidity of innovative developments, is causing heads to spin. Although savvy organisations are baking efficiency considerations into IT projects at the outset, and are looking across the entire AI life cycle for opportunities to minimise impact, many don’t know where to start or are leaving efficiency gains on the table. Most are underutilising the multiple IT efficiency levers that could be pulled to reduce the environmental footprint of their IT, such as using energy-efficient software languages and optimising data use to ensure maximum data efficiency of AI workloads. Among the infrastructure innovations, one of the most exciting advancements we are seeing in data centres is direct liquid cooling (DLC). Because the systems that are running AI workloads are producing more heat, traditional air cooling simply is not enough to keep up with the demands of the superchips in the latest systems.

DLC technology pumps liquid coolants through tubes in direct contact with the processors to dissipate heat and has been proven to keep high-powered AI systems running safely. Switching to DLC has had measurable and transformative impact across multiple environments, showing reductions in cooling power consumption by nearly 90% compared to air cooling in supercomputing systems2.

Thankfully, the benefits of DLC are now also extending beyond supercomputers to reach a broader range of higher-performance servers that support both supercomputing and AI workloads. Shifting DLC from a niche offering to a more mainstream option available across more compute systems is enabling more organisations to tap into the efficiency gains made possible by DLC, which in some cases has been shown to deliver up to 65% in annual power savings3. Combining this kind of cooling innovation with new and improved power-use monitoring tools, able report highly accurate and timely insights, is becoming critical for IT teams wanting to optimise their energy use. All this is a welcome evolution for organisations grappling with rising energy costs and that are carefully considering total cost of ownership (TCO) of their IT systems, and is an area of innovation to watch in the coming years.

In Australia, this kind of technical innovation is especially timely. In March 2024, the Australian Senate established the Select Committee on Adopting Artificial Intelligence to examine the opportunities and impacts of AI technologies4. Among its findings and expert submissions was a clear concern about the energy intensity of AI infrastructure. The committee concluded that the Australian Government legislate for increased regulatory clarity, greater energy efficiency standards, and increased investment in renewable energy solutions. For AI sustainability to succeed, it must be driven by policy to set actionable standards, which then fuel innovative solutions.

Infrastructure solutions like DLC will play a critical role in making this possible — not just in reducing emissions and addressing the energy consumption challenge, but also in supporting the long-term viability of AI development across sectors. We’re already seeing this approach succeed in the real world. For example, the Pawsey Supercomputing Centre in Western Australia has adopted DLC technology to support its demanding research workloads and, in doing so, has significantly reduced energy consumption while maintaining the high performance required for AI and scientific computing. It’s a powerful example of how AI data centres can scale sustainably — and telegraphs an actionable blueprint for others to follow.

Furthermore, industry leaders are shifting how they handle the heat generated by these large computing systems in order to drive further efficiency in AI. Successfully using heat from data centres for other uses will be a vital component to mitigating both overall energy security risks and the efficiency challenges that AI introduces. Data centres are being redesigned to capture by-product heat and use it as a valuable resource, rather than dispose of it as waste heat. Several industries are already benefiting from capturing data centre heat, such as in agriculture for greenhouses, or heating buildings in healthcare and residential facilities. This has been successfully implemented in the UK with the Isambard-AI supercomputer and in Finland with the LUMI supercomputer — setting the bar for AI sustainability best practice globally.

The message is clear: as AI becomes a bigger part of digital transformation projects, so too must the consideration for resource-efficient solutions grow. AI sustainability considerations must be factored into each stage of the AI life cycle, with solutions like DLC playing a part in in a multifaceted IT sustainability blueprint.

By working together with governments to set effective and actionable environmental frameworks and benchmarks, we can encourage the growth and evolution of the AI industry, spurring dynamic innovation in solutions and data centre design for the benefit of all.

1. AI is set to drive surging electricity demand from data centres while offering the potential to transform how the energy sector works – News – IEA
2. https://www.hpe.com/us/en/newsroom/blog-post/2024/08/liquid-cooling-a-cool-approach-for-ai.html
3. HPE introduces next-generation ProLiant servers engineered for advanced security, AI automation and greater performance
4. https://www.aph.gov.au/Parliamentary_Business/Committees/Senate/Adopting_Artificial_Intelligence_AI

Image credit: iStock.com/Dragon Claws

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