UK financial authorities are urging firms to prepare for risks from frontier AI models, saying their cyber capabilities can exceed what skilled human practitioners achieve. In a joint statement, the finance ministry, the Bank of England and the Financial Conduct Authority warned that if these systems are used maliciously, they could amplify threats to firms’ safety, customer protection, market integrity and financial stability. Regulators also pointed to concerns raised by BoE governor Andrew Bailey about Anthropic’s Mythos product.
Hindustan Zinc Ltd, a Vedanta group company, says it will generate Rs 2,000 crore in value by deploying AI-driven solutions across its mining and manufacturing operations. The plan, announced at Zinnovation 2026 with V-Spark DeepTech Ventures, is aimed at improving production, cutting costs, and boosting safety and ESG performance. The company is already working with 50-plus deep tech startups on more than 100 projects, signaling a broader industry push toward industrial intelligence as margins face pressure.
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Medicare has launched a payment model that could accelerate AI’s leap from pilots to routine care. Instead of paying mainly for clinic visits or clinician time, the ACCESS programme rewards organizations with predictable funding for measurable health outcomes, paying the full amount only when patients improve. This shift creates room for tools that manage follow-ups, monitoring, referrals, and medication between appointments. One early participant, Pair Team, supports patients facing chronic disease and instability through tech-enabled, continuous coordination.
U.S. President Donald Trump’s Beijing visit drew extra buzz with Elon Musk and Nvidia CEO Jensen Huang joining talks on Iran, trade, and AI. The reunion spotlighted their decade-long friendship, reignited when Musk reposted photos from 2016 and 2026 and endorsed a quote about true friends with a one-word reply. Huang’s AI legacy adds weight: in 2016 he personally delivered Nvidia’s first AI-focused supercomputer to OpenAI, built over five years, signaling a partnership that shaped today’s AI push.
Uber is planning two large technology centres in Bengaluru and Hyderabad, targeting completion by 2027. CEO Dara Khosrowshahi announced the move during a Bengaluru town hall on 14 May, as Uber increases investments in digital infrastructure, logistics, and mobility. The company says it will hire more technical talent for roles spanning back-end infrastructure, autonomous vehicle work, and generative AI. Uber also plans to partner with the Adani Group to build its first Indian data centre, expected to be operational by 2026, alongside a $330 million investment in its local subsidiary.
India’s top software exporters could lose $200 billion in market value from their peak levels as disruptive AI changes how clients deploy technology services. A basket of leading firms hit a record $413 billion aggregate market cap on December 13, 2024, but by May 14, 2026 it dropped to $227 billion, a 45% fall. So far in 2026, the group has shed about 30%, with TCS and Wipro down more than 50% from peaks.
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Palo Alto Networks’ technology chief is warning that many companies are falling behind as AI-powered attackers move from experiments to real exploitation. The concern: hackers are using AI models to find and leverage software vulnerabilities more quickly, shrinking response timelines. With firms losing precious momentum, the executive suggests that AI-driven intrusions may soon become routine unless defenses are upgraded immediately.
Cerebras pulled off a blockbuster IPO, raising $5.5 billion and pricing shares Wednesday night at $185—well above its earlier range that stretched from $115 to $125, later revised upward. The offering grew to 30 million shares, and pre-market trading suggests a sharp opening pop driven by retail demand. At the IPO price, the company’s fully diluted valuation lands at $56.4 billion. The turnaround follows an earlier CFIUS roadblock and a major revenue and profit swing in 2025.
Delhi University Vice Chancellor Yogesh Singh says CUET has boosted diversity by widening equal access for students. He also outlined the ongoing rollout of the four-year undergraduate programme under India’s NEP, backed by new infrastructure expansion. DU is simultaneously ramping up focus on artificial intelligence and emerging technologies to broaden future learning and job opportunities.
Indian IT stocks slid to three-year lows after OpenAI announced a venture aimed at deploying AI directly for enterprises. With Anthropic reportedly pursuing a similar model, investors worry traditional service integration work could be squeezed. The selloff also reflects broader anxiety that AI disruption may intensify amid persistent geopolitical uncertainty affecting the sector.
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Nvidia CEO Jensen Huang reportedly became a sudden addition to Donald Trump’s China delegation, boarding Air Force One shortly before departure. The visit is set to tackle tariffs, trade, AI cooperation, Iran war concerns, Taiwan tensions, rare earth supplies, and global supply chains, alongside high-level meetings between Trump and Xi Jinping with US tech leaders in attendance.
Alibaba says it will likely spend more than its earlier projected 380 billion yuan on artificial intelligence over the next three years, even as earnings feel the strain. In its latest results, heavy investment in AI and cloud infrastructure pressured profit, but the company insists market leadership matters more than margins as AI demand accelerates for its Cloud Intelligence Group.
Fractal Analytics reported a sharp jump in Q4 net profit to Rs 116 crore, more than doubling year over year on improved margins. CEO Srikanth Velamakanni pointed to accelerating enterprise AI demand, arguing the opportunity is still largely untapped and that outcome-driven models are helping win new business.
OpenAI has launched the OpenAI Deployment Company to help businesses build and deploy reliable AI for mission-critical daily operations. The venture will send Forward Deployed Engineers to work with executives, operators, and frontline staff to identify where AI can have the biggest impact. With more than $4 billion invested and a planned acquisition of applied AI firm Tomoro, OpenAI aims to speed up time from choosing use cases to production rollout.
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IPL 2026 is showing a sharp split: linear TV ratings are down 18.8% in the first half, while digital engagement continues to climb as younger viewers switch to mobile-first clips and connected TV. In biotech, Bengaluru and Delaware startup LiteFold is building an “AI co-scientist” aimed at compressing computational biology and legal workflow steps, skipping only the wet lab.
Cerebras Systems is considering raising its IPO price range to $150 to $160 after demand for its AI chips surged. The company may also expand the offering size by selling more shares. The update comes as strong adoption of AI models increases demand for its processors, which are being used for deployments at scale.
As global equities ride a rally, traders are shifting focus to Asia for the next upswing. The momentum is fueled by AI enthusiasm and strong performances in South Korea and Taiwan, with strategists favoring AI-linked semiconductors and hardware. India trails, weighed down by oil dependence, weaker currency trends, and comparatively limited AI exposure.
IndiaAI mission startups say paperwork delays are slowing projects even after compute access is granted. Founders report pending MoUs have blocked non-compute support and raised concerns around intellectual property terms, potentially shifting timelines. The government is now considering advance payments to reduce friction and keep missions on schedule as companies wait for formal agreements.
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As AI changes hiring and workplace expectations, institutions are moving from vague intent to verifiable capability. AI certifications are emerging as a benchmark, and structured programs like ET AI-Ready help colleges and universities assess curriculum, faculty strength, and supporting infrastructure—so graduates meet the demands of an AI-driven job market.
CoreWeave has topped revenue expectations, driven by surging demand for its high performance cloud and computing services. These capabilities are increasingly essential for training and deploying artificial intelligence models. The company also landed major deals with Meta, Jane Street, and Anthropic, strengthening its position as a central player in the race to build AI infrastructure.
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