OpenAI’s chief people officer, Julia Villagra, has left the company, marking the latest leadership change at the AI pioneer. Villagra, who joined the San Francisco firm in early 2024 and was promoted in March, previously led its human resources operations.
Her responsibilities will temporarily be overseen by chief strategy officer Jason Kwon, while chief applications officer Fidji Simo will lead the search for her successor.
OpenAI said Villagra is stepping away to pursue her personal interest in art, music and storytelling as tools to help people understand the shift towards artificial general intelligence, a stage when machines surpass human performance in most forms of work.
The departure comes as OpenAI navigates a period of intense competition for AI expertise. Microsoft-backed OpenAI is valued at about $300 billion, with a potential share sale set to raise that figure to $500 billion.
The company faces growing rivalry from Meta, where Mark Zuckerberg has reportedly offered $100 million signing bonuses to attract OpenAI talent.
While OpenAI expands, public concerns over the impact of AI on employment continue. A Reuters/Ipsos poll found 71% of Americans fear AI could permanently displace too many workers, despite the unemployment rate standing at 4.2% in July.
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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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South Korea’s new administration has unveiled a five-year economic plan to build what it calls a ‘super-innovation economy’ by integrating AI across all sectors of society.
The strategy, led by President Lee Jae-myung, commits 100 trillion won (approximately US$71.5 billion) to position the country among the world’s top three AI powerhouses. Private firms will drive development, with government support for nationwide adoption.
Plans include a sovereign Korean-language AI model, humanoid robots for logistics and industry, and commercialising autonomous vehicles by 2027. Unmanned ships are targeted for completion by 2030, alongside widespread use of drones in firefighting and aviation.
AI will also be introduced into drug approvals, smart factories, welfare services, and tax administration, with AI-based tax consultations expected by 2026. Education initiatives and a national AI training data cluster will nurture talent and accelerate innovation.
Five domestic firms, including Naver Cloud, SK Telecom, and LG AI Research, will receive state support to build homegrown AI foundation models. Industry reports currently rank South Korea between sixth and 10th in global AI competitiveness.
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Google has expanded its AI Mode in Search to 180 additional countries and territories, introducing new agentic features to help users make restaurant reservations. The service remains limited to English and is not yet available in the European Union.
The update enables users to specify their dining preferences and constraints, allowing the system to scan multiple platforms and present real-time availability. Once a choice is made, users are directed to the restaurant’s booking page.
Partners supporting the service include OpenTable, Resy, SeatGeek, StubHub, Booksy, Tock, and Ticketmaster. The feature is part of Google’s Search Labs experiment, available to subscribers of Google AI Ultra in the United States.
AI Mode also tailors suggestions based on previous searches and introduces a Share function, letting users share restaurant options or planning results with others, with the option to delete links.
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Meta has signed a cloud computing deal with Google worth more than $10 billion, marking one of the most significant agreements in the industry.
The six-year partnership will see Meta use Google Cloud’s servers, storage, networking and other services to power its massive AI projects.
The deal comes as Meta accelerates its AI infrastructure spending, with CEO Mark Zuckerberg pledging hundreds of billions of dollars for new data centres.
Last month, Meta raised its capital expenditure forecast to $72 billion and disclosed plans to offload $2 billion in data centre assets to outside partners.
The partnership highlights a growing trend of rival technology giants collaborating on AI infrastructure. Just weeks earlier, OpenAI struck a similar deal to use Google Cloud services despite being a competitor in the AI field.
These agreements have boosted Google Cloud’s performance, which saw a 32% jump in second-quarter revenue in July, surpassing market expectations.
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A new study in Robot Learning has introduced a robotic system that combines machine learning with decision-making to analyse water samples. The approach enables robots to detect, classify, and distinguish drinking water on Earth and potentially other planets.
Researchers used a hybrid method that merged the TOPSIS decision-making technique with a Random Forest Classifier trained on the Water Quality and Potability Dataset from Kaggle. By applying data balancing techniques, classification accuracy rose from 69% to 73%.
The robotic prototype includes thrusters, motors, solar power, sensors, and a robotic arm for sample collection. Water samples are tested in real time, with the onboard model classifying them as drinkable.
The system has the potential for rapid crisis response, sustainable water management, and planetary exploration, although challenges remain regarding sensor accuracy, data noise, and scalability. Researchers emphasise that further testing is necessary before real-world deployment.
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Japan has pledged $5.5 billion in loans and announced an ambitious AI training programme to deepen economic ties with Africa.
At TICAD 9, Prime Minister Shigeru Ishiba proposed creating an Indian Ocean–Africa economic zone to link African nations with Asia and the Middle East.
Japan will also support training 30,000 AI experts over three years to drive digital transformation and job growth across the continent.
The initiative comes amid growing calls from leaders like António Guterres and João Lourenço to overhaul global finance systems and empower African representation.
Japan’s move signals renewed interest in African engagement, as the US scales back and China’s influence expands across the region.
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OpenAI’s rollout of GPT-5 has faced criticism from users attached to older models, who say the new version lacks the character of its predecessors.
GPT-5 was designed as an all-in-one model, featuring a lightweight version for rapid responses and a reasoning version for complex tasks. A routing system determines which option to use, although users can manually select from several alternatives.
Modes include Auto, Fast, Thinking, Thinking mini, and Pro, with the last available to Pro subscribers for $200 monthly. Standard paid users can still access GPT-4o, GPT-4.1, 4o-mini, and even 3o through additional settings.
Chief executive Sam Altman has said the long-term goal is to give users more control over ChatGPT’s personality, making customisation a solution to concerns about style. He promised ample notice before permanently retiring older models.
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Indian firms are accelerating the adoption of AI, with many using AI agents to enhance workforce capabilities rather than relying solely on traditional methods.
According to Microsoft’s 2025 Work Trend Index, 93% of leaders in India plan to extend AI integration across their organisations within the next 12 to 18 months.
Frontier firms in India are leading the charge, redesigning operations around collaboration between humans and AI agents instead of following conventional hierarchies.
Over half of leaders already deploy AI to automate workflows and business processes across entire teams, enabling faster and more agile decision-making.
Microsoft notes that AI is becoming a true thought partner, fuelling creativity, accelerating decisions, and redefining teamwork instead of merely supporting routine tasks. Leaders report that embedding AI into daily operations drives measurable improvements in productivity, innovation, and business outcomes.
The findings are part of a global survey of 31,000 participants across 31 countries, highlighting India’s role at the forefront of AI-driven organisational transformation rather than merely following international trends.
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A new MIT study has found that 95% of corporate AI projects fail to deliver returns, mainly due to difficulties integrating them with existing workflows.
The report, ‘The GenAI Divide: State of AI in Business 2025’, examined 300 deployments and interviewed 350 employees. Only 5% of projects generated value, typically when focused on solving a single, clearly defined problem.
Executives often blamed model performance, but researchers pointed to a workforce ‘learning gap’ as the bigger barrier. Many projects faltered because staff were unprepared to adapt processes effectively.
More than half of GenAI budgets were allocated to sales and marketing, yet the most substantial returns came from automating back-office tasks, such as reducing agency costs and streamlining roles.
The study also found that tools purchased from specialised vendors were nearly twice as successful as in-house systems, with success rates of 67% compared to 33%.
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