Chinese tech giants Alibaba, Tencent, and Baidu have made only limited progress in meeting their renewable energy goals, according to a recent Greenpeace East Asia report. The sector’s power consumption is expected to surge due to growing demand for AI and cloud services, prompting calls for more robust action against climate change.
The report tracked the renewable energy use of top 25 cloud providers and data centre operators in China. Although Alibaba, Tencent, and Baidu led in renewable energy procurement and carbon reduction measures, significant disparities remain across the industry. Only five companies reported annual renewable energy ratios exceeding 10%, a notable increase from just one company in 2022.
Despite these advances, only eight companies have committed to 100% renewable energy use by 2030, and only six have set carbon neutrality goals for their direct and indirect emissions. Greenpeace stressed the need for the tech sector to rapidly expand renewable energy consumption to meet the projected 160% increase in power demand for data centres by 2030, driven by AI development.
Researchers from the Universities of East Anglia, Sheffield, and Leeds have developed an AI model to examine heart images from MRI scans. The model uses a four-chamber plane view to quickly and accurately determine the size and function of the heart’s chambers.
Dr Pankaj Garg from UEA’s Norwich Medical School stated that while manual MRI analysis can take up to 45 minutes, the AI model performs the task in just a few seconds.
The study used data from 814 patients at Sheffield and Leeds hospitals to train the AI model, with additional testing on 101 patients from Norfolk and Norwich University Hospitals.
Unlike previous studies, this model was trained on diverse data from multiple hospitals and scanner types, providing a comprehensive analysis of all four heart chambers. Dr Hosamadin Assadi from UEA highlighted the model’s potential to improve diagnosis, treatment decisions, and patient outcomes.
Future research will focus on testing the AI model with larger patient groups from different hospitals and scanner types. The study was a collaboration between several universities and NHS trusts, supported by the Wellcome Trust Clinical Research Career Development Fellowship.
Personalised medicine company Spesana and Imidex, developer of computer-aided detection technology, have announced a strategic partnership to explore AI’s impact on lung cancer detection. The collaboration will combine Imidex’s VisiRad XR detection algorithm and Spesana’s medical data platform to study the detection rates of lung nodules and masses in existing chest x-rays.
The clinical trial aims to quantify how many additional lung masses can be identified, identify at-risk patients for clinical trials, and evaluate the use of liquid biopsies resulting from nodule detection. Carla Balch, CEO of Spesana, envisions early lung cancer detection leading to earlier treatment and better patient outcomes.
Wes Bolsen, CEO of Imidex, highlighted that their FDA-cleared algorithm will improve the screening of potential lung cancer patients. The collaboration aims to equip healthcare providers and pharmaceutical companies with tools to detect lung nodules earlier, optimising healthcare resources and improving patient outcomes.
The group aims to reduce the barriers to entering the digital economy for low-income populations, particularly in Sub-Saharan Africa and South Asia. The GSMA highlighted that handset affordability is the most significant obstacle preventing people from going online.
In many low and middle-income countries, mobile phones are often the only means of accessing the internet. Currently, 38% of the global population cannot use mobile internet due to high costs and lack of skills. The coalition will work together to improve access to affordable internet-enabled devices, aiming to close the ‘Usage Gap’ that hinders around three billion people from fully participating in the global digital economy.
Goldman Sachs has cast doubt on the economic viability of AI investments, despite substantial spending on AI infrastructure. The firm estimates around $1 trillion will be spent on AI-related infrastructure, including data centres, semiconductors, and grid upgrades. However, Goldman Sachs raises a crucial question: what problem will this massive AI investment actually solve?
According to Jim Covello, head of global equity research at Goldman Sachs, the current scenario contrasts sharply with past technological transitions. He argues that while the internet revolutionised commerce by offering low-cost solutions, AI today is exceedingly expensive and lacks clear applications capable of justifying its high costs. Covello highlights concerns that investor enthusiasm may wane if substantial AI use-cases fail to materialise within the next 12 to 18 months.
Despite these reservations, Kash Rangan of Goldman Sachs acknowledges that the AI cycle is still in its early stages, primarily focused on building infrastructure rather than discovering groundbreaking applications. He remains optimistic that as the AI ecosystem matures, a transformative ‘killer application’ will eventually emerge.
Looking forward, Goldman Sachs anticipates that the ongoing AI build-out will exert considerable pressure on national grids and electricity consumption. The report forecasts a 2.4% compound annual growth rate in UK electricity demand and projects that data centres will double their electricity consumption by 2030, underscoring the immediate impacts of AI infrastructure development on energy resources.
While AI holds potential for revolutionary advancements, Goldman Sachs suggests that its current trajectory raises fundamental questions about economic feasibility and the pace of transformative breakthroughs needed to justify its substantial investments.
Tech Mahindra has partnered with Microsoft to enhance workplace experiences for over 1,200 customers and more than 10,000 employees across 15 locations by adopting Copilot for Microsoft 365. The collaboration aims to boost workforce efficiency and streamline processes through Microsoft’s trusted cloud platform and generative AI capabilities. Additionally, Tech Mahindra will deploy GitHub Copilot for 5,000 developers, anticipating a productivity increase of 35% to 40%.
Mohit Joshi, CEO and Managing Director of Tech Mahindra, highlighted the transformative potential of the partnership, emphasising the company’s commitment to shaping the future of work with cutting-edge AI technology. Tech Mahindra plans to extend Copilot’s capabilities with plugins to leverage multiple data sources, enhancing creativity and productivity. The focus is on increasing efficiency, reducing effort, and improving quality and compliance across the board.
As part of the initiative, Tech Mahindra has launched a dedicated Copilot practice to help customers unlock the full potential of AI tools, including workforce training for assessment and preparation. The company will offer comprehensive solutions to help customers assess, prepare, pilot, and adopt business solutions using Copilot for Microsoft 365, providing a scalable and personalised user experience.
Judson Althoff, Executive Vice President and Chief Commercial Officer at Microsoft, remarked that the collaboration would empower Tech Mahindra’s employees with new generative AI capabilities, enhancing workplace experiences and increasing developer productivity. The partnership aligns with Tech Mahindra’s ongoing efforts to enhance workforce productivity using GenAI tools, demonstrated by the recent launch of a unified workbench on Microsoft Fabric to accelerate the adoption of complex data workflows.
Talen Energy has urged US regulators to dismiss a challenge to its recent agreement with Amazon for a data centre, which has faced opposition from electric utilities like American Electric Power and Exelon. These utilities argue that the deal could lead to higher power bills for the public. Talen countered this claim, stating that the interconnection agreement for the Amazon data centre would not result in increased costs for utility customers or impact grid reliability.
In its filing with the Federal Energy Regulatory Commission (FERC), Talen criticised the challenge as an unlawful attempt to derail a straightforward interconnection service agreement amendment. They argued it was being turned into a national debate on the future of data centre energy consumption, which was unwarranted. The decision by FERC on this matter could set a precedent for future deals where data centres are co-located with power plants, enabling quicker power supply without long interconnection delays.
Talen’s agreement, announced in March, involves selling electricity and a data centre campus at its Pennsylvania nuclear power plant to Amazon Web Services. However, this deal would provide Amazon’s data centres with up to 960 megawatts of electric capacity, sufficient to power around a million homes. Utilities like American Electric Power and Exelon have raised concerns that the agreement could impose a $140 million annual cost shift to regular ratepayers and potentially disrupt the grid during unexpected power plant interruptions.
Talen warned that if FERC allowed the challenge to proceed or rejected the agreement, it could stifle data centre expansion and deter the construction of new power plants amidst rising US electricity demand. Conversely, AEP and Exelon argue that the deal, if approved, could unfairly burden everyday ratepayers with costs associated with power infrastructure that doesn’t benefit them. The timing of FERC’s decision on the case remains uncertain.
Why does it matter?
The IATSE’s tentative agreement represents a significant step forward in securing fair wages and job protections for Hollywood’s behind-the-scenes workers, ensuring that the rapid technological advancements do not come at the expense of human employment.
Google’s annual sustainability report reveals a nearly 50% increase in greenhouse gas emissions from 2019 to 2024, primarily due to its data centres and supply chain. The 2024 Environmental Report indicates that Google emitted 14.3 million tons of CO2 equivalent last year, raising concerns about its goal to be net zero by 2030. The company expects emissions to rise further before declining, attributing this trend to the growing energy demands of AI integration and increased investment in technical infrastructure.
Efforts to make data centres more efficient, such as using a new generation of tensor processing units (TPUs), have been offset by the rising energy consumption required for AI. Scope 2 emissions, mainly from data centre electricity use, increased by 37% compared to 2022. The rise outpaced the company’s ability to implement carbon-free energy projects, particularly in the United States and Asia-Pacific region. Differences between Google’s global approach to carbon-free energy and the regional guidelines of the GHG Protocol have also contributed to this mismatch.
Scope 3 emissions, which account for 75% of Google’s overall emissions, rose by 8% year-on-year. These indirect emissions from the supply chain are expected to continue increasing due to capital expenditures and investments in AI-related infrastructure. A single generative AI query consumes nearly ten times the power of a regular Google search, highlighting the significant energy demands of AI technology.
Why does it matter?
Additionally, Google’s data centres consume more than three times the amount of water that Microsoft does to remain cool, underscoring the environmental challenges posed by the tech giant’s operations. The report suggests that while Google is making strides in efficiency, the rapid growth of AI and its associated infrastructure presents significant sustainability challenges.
The Indian government plans to follow the European Union’s lead and make USB-C the standard charging port for smartphones and tablets starting in June 2025. All new smartphones and tablets sold in India must have USB-C charging ports once the policy takes effect. India had previously indicated its intention to introduce similar regulations following the EU’s decision, with the original deadline set for March 2025.
The implementation of the EU law is expected to be completed by the end of 2024. Its main goal is to enhance user convenience and decrease electronic waste by eliminating various charger requirements. For instance, Apple has adhered to this regulation by transitioning from its exclusive Lightning connector to USB-C for its iPhone 15 devices.
India has implemented new regulations to simplify charging solutions, minimise electronic waste, and align with global standards, mirroring the legislative actions previously undertaken by the EU. According to a report by Mint, these regulations initially encompass smartphones and tablets, with plans to include laptops by 2026 while excluding basic phones and wearables.
African ICT and Communications Ministers have collectively endorsed the ‘Continental Artificial Intelligence (AI) Strategy and African Digital Compact’ to accelerate the continent’s digital evolution by harnessing the potential of new digital technologies. The decision came during the 2nd Extraordinary Specialized Technical Committee on Communication and ICT session, attended by over 130 African ministers and experts. The aim is to drive digital transformation amidst rapid advancements fueled by AI technology and applications.
The Continental AI Strategy aims to guide African nations in utilising AI to fulfil development goals while ensuring ethical use, mitigating risks, and capitalising on opportunities. It emphasises an Africa-owned, people-centred, and inclusive approach to enhance the continent’s AI capabilities across infrastructure, talent, datasets, innovation, and partnerships while prioritising safeguards against potential threats.
African Union Commissioner for Infrastructure and Energy, Dr Amani Abou-Zeid, highlighted AI’s significant opportunities for positive transformation, economic growth, and social progress in Africa. The strategy underscores the importance of AI-enabled systems in fostering homegrown solutions, driving economic growth, and sustainable development, aligning with the AU Agenda 2063 and the UN Sustainable Development Goals. Leaders stressed the need for collective efforts to leverage AI to advance Africa’s digital agenda and achieve long-term developmental objectives.
