E-waste

Honor and Google deepen platform partnership with longer updates and AI integration

Honor has announced a joint commitment with Google to strengthen its Android platform support. The company now guarantees six years of Android OS and security updates for its upcoming Honor 400 series, aligning with similar practices by Pixel and Samsung devices.

This update period is part of Honor’s wider Alpha Plan, a strategic framework positioning the company as an AI device ecosystem player.

Honor will invest US $10 billion over five years to support this transformation through hardware innovation, software longevity and AI agent integration.

The partnership enables deeper cooperation with Google around Android updates and AI features. Honor already integrates tools like Circle to Search, AI photo expansion and Gemini voice assistants on its Magic series. The extended software support promises longer device lifespans, reduced e-waste and improved user experience.

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Google claims Gemini uses less water and energy per text prompt

Google has published new estimates on the environmental footprint of Gemini, claiming a single text prompt uses about five drops of water and 0.24 watt-hours of electricity. The company says this equates to 0.03 grams of carbon dioxide emissions.

According to Google, efficiencies have reduced Gemini’s energy consumption and carbon footprint per text prompt by factors of 33 and 44 over the past year. Chief technologist Ben Gomes said the model now delivers higher-quality responses with a significantly lower footprint.

The company argued that these figures are significantly lower than those suggested in earlier research. However, Shaolei Ren, the author of one of the cited papers, said Google’s comparisons were misleading and incomplete.

Ren noted that Google compared its latest onsite-only water figures against his study’s highest total figures, creating the impression that Gemini was far more efficient. He also said Google omitted indirect water use, such as electricity-related consumption, from its estimates.

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AI energy demand accelerates while clean power lags

Data centres are driving a sharp rise in electricity consumption, putting mounting pressure on power infrastructure that is already struggling to keep pace.

The rapid expansion of AI has led technology companies to invest heavily in AI-ready infrastructure, but the energy demands of these systems are outstripping available grid capacity.

The International Energy Agency projects that electricity use by data centres will more than double globally by 2030, reaching levels equivalent to the current consumption of Japan.

In the United States, they are expected to use 580 TWh annually by 2028—about 12% of national consumption. AI-specific data centres will be responsible for much of this increase.

Despite this growth, clean energy deployment is lagging. Around two terawatts of projects remain stuck in interconnection queues, delaying the shift to sustainable power. The result is a paradox: firms pursuing carbon-free goals by 2035 now rely on gas and nuclear to power their expanding AI operations.

In response, tech companies and utilities are adopting short-term strategies to relieve grid pressure. Microsoft and Amazon are sourcing energy from nuclear plants, while Meta will rely on new gas-fired generation.

Data centre developers like CloudBurst are securing dedicated fuel supplies to ensure local power generation, bypassing grid limitations. Some utilities are introducing technologies to speed up grid upgrades, such as AI-driven efficiency tools and contracts that encourage flexible demand.

Behind-the-meter solutions—like microgrids, batteries and fuel cells—are also gaining traction. AEP’s 1-GW deal with Bloom Energy would mark the US’s largest fuel cell deployment.

Meanwhile, longer-term efforts aim to scale up nuclear, geothermal and even fusion energy. Google has partnered with Commonwealth Fusion Systems to source power by the early 2030s, while Fervo Energy is advancing geothermal projects.

National Grid and other providers invest in modern transmission technologies to support clean generation. Cooling technology for data centre chips is another area of focus. Programmes like ARPA-E’s COOLERCHIPS are exploring ways to reduce energy intensity.

At the same time, outdated regulatory processes are slowing progress. Developers face unclear connection timelines and steep fees, sometimes pushing them toward off-grid alternatives.

The path forward will depend on how quickly industry and regulators can align. Without faster deployment of clean power and regulatory reform, the systems designed to power AI could become the bottleneck that stalls its growth.

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Power demands reshape future of data centres

As AI and cloud computing demand surges, Siemens is tackling critical energy and sustainability challenges facing the data centre industry. With power densities surpassing 100kW per rack, traditional infrastructure is being pushed beyond its limits.

Siemens highlighted the urgent need for integrated digital solutions to address growing pressures such as delayed grid connections, rising costs, and speed of deployment. Operators are increasingly adopting microgrids and forming utility partnerships to ensure resilience and control over power access.

Siemens views data centres not just as energy consumers but as contributors to the grid, using stored energy to balance supply. The shift is pushing the industry to become more involved in grid stability and renewable integration.

While achieving net zero remains challenging, data centres are adopting on-site renewables, advanced cooling systems, and AI-driven management tools to boost efficiency.

Siemens’ own software, such as the Building X Suite, is helping reduce energy waste and predict maintenance needs, aligning operational effectiveness with sustainability goals.

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Eric Schmidt warns that AI growth is limited by electricity

Former Google chief executive Eric Schmidt has warned that electricity, rather than semiconductors, will limit the future growth of AI.

Speaking on the Moonshots podcast, Schmidt said the push towards artificial superintelligence—AI that exceeds human cognitive ability in almost all domains—will depend on securing sufficient power instead of just developing more advanced chips.

Schmidt noted the US alone may require an extra 92 gigawatts of electricity to support AI growth, equivalent to dozens of nuclear power stations.

Instead of waiting for new plants, companies such as Microsoft are seeking to retrofit closed facilities, including the Three Mile Island plant targeted for relaunch in 2028.

Schmidt highlighted growing environmental pressures, citing Microsoft’s 34% increase in water use within a year, a trend experts link directly to rising AI workloads.

Major AI developers like OpenAI’s Sam Altman also acknowledge energy as a key constraint. Altman has invested in nuclear fusion through Helion, while firms such as Microsoft and AMD are pressing US policymakers to fast-track energy permits.

Environmental groups, including Greenpeace, warn that unchecked AI expansion risks undermining climate goals instead of supporting them.

Schmidt believes superintelligence is inevitable and approaching rapidly, predicting specialised AI tools across all fields within five years. Rather than focusing solely on AI’s capabilities, he stressed the urgent need for planning energy infrastructure today to match tomorrow’s AI demands.

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Trump launches $70 billion AI and energy investment plan

President Donald Trump has announced a $70 billion initiative to strengthen America’s energy and data infrastructure to meet growing AI-driven demand. The plan was revealed at Pittsburgh’s Pennsylvania Energy & Innovation Summit, with over 60 primary energy and tech CEOs in attendance.

The investment will prioritise US states such as Pennsylvania, Texas, and Georgia, where energy grids are increasingly under pressure due to rising data centre usage. Part of the funding will come from federal-private partnerships, alongside potential reforms led by the Department of Energy.

Analysts suggest the plan redirect federal support away from wind and solar energy in favour of nuclear and fossil fuel development. The proposal may also scale back green tax credits introduced under the Inflation Reduction Act, potentially affecting more than 300 gigawatts of renewable capacity.

The package includes a project to transform a disused steel mill in Aliquippa into a large-scale data centre hub, forming part of a broader strategy to establish new AI-energy corridors. Critics argue the plan could prioritise legacy systems over decarbonisation, even as AI pushes infrastructure to its limits.

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WSIS+20: Inclusive ICT policies urged to close global digital divide

At the WSIS+20 High-Level Event in Geneva, Dr Hakikur Rahman and Dr Ranojit Kumar Dutta presented a sobering picture of global digital inequality, revealing that more than 2.6 billion people remain offline. Their session, marking two decades of the World Summit on the Information Society (WSIS), emphasised that affordability, poor infrastructure, and a lack of digital literacy continue to block access, especially for marginalised communities.

The speakers proposed a structured three-pillar framework — inclusion, ethics, and sustainability- to ensure that no one is left behind in the digital age.

The inclusion pillar advocated for universal connectivity through affordable broadband, multilingual content, and skills-building programs, citing India’s Digital India and Kenya’s Community Networks as examples of success. On ethics, they called for policies grounded in human rights, data privacy, and transparent AI governance, pointing to the EU’s AI Act and UNESCO guidelines as benchmarks.

The sustainability pillar highlighted the importance of energy-efficient infrastructure, proper e-waste management, and fair public-private collaboration, showcasing Rwanda’s green ICT strategy and Estonia’s e-residency program.

Dr Dutta presented detailed data from Bangladesh, showing stark urban-rural and gender-based gaps in internet access and digital literacy. While urban broadband penetration has soared, rural and female participation lags behind.

Encouraging trends, such as rising female enrollment in ICT education and the doubling of ICT sector employment since 2022, were tempered by low data protection awareness and a dire e-waste recycling rate of only 3%.

The session concluded with a call for coordinated global and regional action, embedding ethics and inclusion in every digital policy. The speakers urged stakeholders to bridge divides in connectivity, opportunity, access, and environmental responsibility, ensuring digital progress uplifts all communities.

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Reliance set for $50 billion growth with AI and green energy

According to analysts at Morgan Stanley, Reliance Industries is set to grow its market value by $50 billion through large-scale investments in AI infrastructure and new energy. The conglomerate, led by Mukesh Ambani, is retooling its energy and digital units as part of a long-term transformation strategy.

Central to this growth is constructing a generative AI data centre in Jamnagar, India, which will feature 1GW of capacity powered by 1.3GW of green energy. Reliance plans to source this power from its rapidly scaling renewable ecosystem, including solar and green hydrogen.

The firm aims to integrate 10GW of solar capacity by 2026 and has launched lithium battery and green hydrogen projects on a 2,000-acre site in Gujarat. Nvidia’s Blackwell chips will power the upcoming data centres, signalling Reliance’s ambition to make India a hub for next-gen digital infrastructure.

Morgan Stanley estimates up to $60 billion in value creation from the clean energy vertical alone, as Reliance uses electricity to drive data centres, refineries, and chemical facilities. The strategy reflects a broader vision to replace traditional operations with AI-driven, sustainable systems at a global scale.

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Apple tries makes climate progress with greener supply chain

Apple has made progress in reducing its environmental impact, according to the company’s own latest environmental progress report.

Its total greenhouse gas emissions dropped by 800,000 metric tons in 2024, marking a 5 percent reduction from the previous year.

Over the last decade, Apple has cut its global emissions by more than 60 percent, an achievement as emissions from other tech firms continue to rise due to the growing demands of AI.

The reduction stems from efforts to use renewable energy, increase recycling, and work with suppliers to cut emissions. Apple reported that its suppliers collectively avoided nearly 24 million metric tons of greenhouse gas emissions last year through cleaner energy and improved efficiency.

The company is also tackling highly potent fluorinated gases used in making semiconductors and displays, with all direct display suppliers and 26 semiconductor partners committing to reducing such emissions by at least 90 percent.

Recycled materials played a larger role in Apple’s products in 2024, making up nearly a quarter of all materials used. Notably, 80 percent of the rare earth elements and most of the tungsten, cobalt, and aluminium used came from recycled sources.

Despite these efforts, Apple still generated 15.3 million metric tons of CO₂ last year, though it aims to reduce emissions by 75 percent from 2015 levels by 2030 and eliminate 90 percent by 2050 to meet international climate goals.

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Viral AI image trends drive up water consumption

Behind ChatGPT’s digital charm lies an increasingly concerning environmental toll, largely driven by its water consumption.

According to recent reports, OpenAI’s GPT-4 model consumes around 500 millilitres of clean, drinkable water for every 100-word response. The surge in demand, fuelled by viral trends like Studio Ghibli-style portraits and Barbie-themed avatars, has significantly amplified this impact.

Each AI interaction, especially those involving image generation, generates heat, necessitating cooling systems that rely heavily on water.

With an estimated 57 million users daily, ChatGPT’s operations result in a staggering daily water usage of over 14,800 crore litres. OpenAI’s CEO, Sam Altman, recently acknowledged server strain, urging users to reduce non-essential use.

The environmental costs extend beyond water. Many data centres supporting AI platforms are located in water-stressed regions and rely on fossil fuels, raising serious concerns about sustainability.

Experts warn that while AI promises convenience, its rapid expansion risks putting additional pressure on fragile ecosystems unless mindful practices are adopted.

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