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Anthropic wants to create new billionaires through its IPO, but American voters are growing tired of Big Tech's wealth explosion
Anthropic is preparing for a significant IPO amid growing public resistance to AI-related infrastructure projects. Investors are discussing a valuation between $1 trillion and $1.5 trillion for the Nasdaq listing. Communities express concerns over environmental impacts and rising electricity costs linked to data centres. Public sentiment is shifting against technology companies, raising questions about economic benefits versus local costs.
Arunoday Singh-headed O-Health secures strategic funding
O-Health has received strategic funding from several investors to advance its healthcare technology solutions. The company aims to enhance its voice-first AI-enabled clinical pre-assessment platform for better patient information management. The investment will support the expansion into additional healthcare sectors and development of indigenous AI models and clinical hardware. O-Health plans to broaden its focus to include preventive health technologies and intelligent hospital workflows.
Are Amazon and Google polishing Anthropic IPO numbers? Michael Burry raises big question amid global AI crash
Anthropic’s reported revenue surged to nearly $17 billion in the third quarter as it prepares for a potential blockbuster IPO. However, Michael Burry has questioned the sharp decline in sales and marketing expenses, raising concerns about whether major partners such as Amazon, Alphabet and Microsoft are helping polish its financials ahead of the listing.
SoftBank credit default swaps hit 4-year high as AI profitability concerns mount
SoftBank Group’s five-year credit default swap spread climbed to a four-year high as investors grew increasingly concerned about the profitability of artificial intelligence investments. Rising borrowing costs, questions over returns from its OpenAI investment and uncertainty surrounding AI infrastructure spending have added to credit market concerns.
OpenAI launches GPT-6 Cyber with 'Critical' cybersecurity rating
OpenAI released GPT-6 Cyber, a model built to find and exploit security flaws, to a small group of vetted customers on Thursday, rating it "Critical" in cybersecurity under its safety framework.
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AI Team of the Year: How high-performing AI teams are driving business innovation
The success of AI adoption significantly hinges on the expertise of the professionals implementing these technologies. Teams that blend technical proficiency with business acumen are essential to guarantee that AI applications align with operational requirements and performance benchmarks. Acknowledgment of their contributions becomes crucial, especially for projects that are pivotal to driving business results.
SBI-led banking alliance comes together to mount a defence to AI threats
Indian Banks' Association, led by State Bank of India, is developing a strategy for cybersecurity in the AI era. The initiative focuses on improving coordination among banks and facilitating timely information sharing. Increasing digitalization has expanded the potential for cyberattacks, urging immediate measures to mitigate risks.
India cybercrime agency warns financial firms on AI attacks
"These attacks are financially motivated and are being carried out with the help of Artificial Intelligence (AI) agents leading to machine speed compromise," the Indian Cybercrime Coordination Centre said in an advisory made public on Wednesday.
Tencent rolls out AI model trained with limited cybersecurity data amid hacking fears
Tencent on Wednesday released Hy4, its new open-source model, that the company said was trained with limited cybersecurity data to "defensive" content to reduce the risks of the model's ability to aid cyberattacks.
Digital recruitment is creating a new cybersecurity risk for employers
Online hiring has made it easier for companies to reach candidates across locations, but it has also exposed recruitment processes to identity fraud, manipulated assessments and misuse of personal information. HR teams are increasingly responsible for protecting the integrity and security of the hiring process.
U.S. and Japanese Companies Struggle with Different Parts of AI Adoption—and Offer Different Lessons for Making It Work
Companies in both the U.S. and Japan are struggling to deploy AI, but often in very different ways. In the U.S., deployment is wide but shallow, meaning companies struggle to create real value with AI. In Japan, deployment has moved slowly, but where it has happened, it’s often deep and fruitful. Understanding what’s happening in both contexts offers important lessons for companies trying to develop an AI strategy and demonstrate ROI on their AI investments.
Meta raises $15 billion through bond sale to fund AI infrastructure expansion
Meta Platforms is raising $15 billion through a five-part bond offering to fund its expanding artificial intelligence infrastructure investments. The fundraising highlights the growing reliance of major technology companies on debt and equity markets to finance the global AI race.
India’s IT sector needs a new talent architecture
Growing demand for AI-related services is challenging providers, as they struggle to generate significant revenue. Companies must redesign their workforce models to capture opportunities in an AI-driven market. Existing talent architectures focus on old skill sets and hierarchies, which are becoming less relevant. Investing in specialized roles and capabilities will better align with the new market demands.
AMD forecasts fourth-quarter revenue above estimates on strong AI chip demand
Advanced Micro Devices estimates its fourth-quarter revenue will hit about $17 billion, driven primarily by robust demand for AI chips. Although the company's forecast for adjusted gross margin stands at 55%, it falls slightly short of analyst expectations. A remarkable 97% year-on-year increase in data-centre revenue showcases AMD's growth. However, the company currently faces challenges in sourcing high-bandwidth memory, essential for its AI processors.
IndiaAI Mission's three indigenous AI models target offline mobile access, secure use in critical sectors
Three indigenous artificial intelligence (AI) models launched under the Centre's IndiaAI Mission are being developed for applications ranging from offline access on mobile phones to secure use in critical sectors such as defence, cybersecurity and banking.
Soket Labs, ZenteiQ launch indigenous foundation models under IndiaAI Mission
Soket Labs and ZenteiQ introduced new artificial intelligence foundation models under the IndiaAI Mission initiative. These models include EKA-1, Dhir 2B, and Dhir 5B, which were unveiled during a launch event. The event featured key government officials, including MeitY Secretary S Krishnan. This launch is part of the government's efforts to enhance India's indigenous AI capabilities. Such initiatives aim to support the growth of foundational AI technologies within the country.
Anthropic warns it’s close to self-building AI: Here’s why experts are worried
Anthropic has unveiled fresh financial details for its upcoming IPO, reaffirming its dedication to maintaining human oversight in AI development. The company alerts stakeholders to the potential for AI systems to attain recursive self-improvement, thereby boosting their own functionalities. While this technology holds transformative potential across various industries, it also carries considerable dangers.
Anthropic revenue up 12x in Q3, commits $895 billion spending
Anthropic has reported a remarkable twelve-fold increase in quarterly revenue, reaching nearly $17 billion. The company plans to invest over $895 billion in future computing infrastructure and costs. Despite substantial revenue growth, Anthropic faces a $23.3 billion net loss in the last quarter due to rising expenses. Additionally, AI pricing pressures have impacted revenue growth, resulting in lower earnings.
Canva may announce another round of layoffs in November, report claims; hiring freeze also possible
Canva appears to be bracing for possible layoffs or a hiring freeze after recently downsizing their team by cutting 32 employees from the technical content department. Although user growth surged in 2025, the company has drastically revised its revenue forecasts for 2026. CEO Melanie Perkins noted that projections have not met earlier expectations but underscored their commitment to an AI-driven strategy.
India’s small companies need to see AI as more than an artificial promise
India MSME news: India's micro, small and medium enterprises are exploring the adoption of artificial intelligence to enhance productivity. AI is expected to generate significant economic value for these enterprises in manufacturing and services sectors. Various challenges remain regarding the integration of AI into existing workflows and overcoming cost barriers. Collaborative efforts among industry bodies, technology providers, and the government are essential for facilitating this transition.
Banks report 10-50% gains in productivity, turnaround time and costs from AI-led initiatives
Several banks in India have implemented artificial intelligence initiatives that have increased productivity and efficiency significantly. Notably, Kotak Mahindra Bank has improved its handling of corporate servicing volumes by 20-30% with the same workforce. Axis Bank's AI solutions are enhancing customer experience and improving operational efficiency across its operations. HDFC Bank has reported a reduction in service delivery turnaround times by 30%, reflecting the impact of digitization.
Apple CEO John Ternus defends AI strategy: ‘Don't want to ship AI for AI's sake’
His comments come at a time when Apple has faced criticism for falling behind rivals such as Google in the AI race. Ternus also spoke about the risks associated with increasingly powerful AI models, particularly from a cybersecurity perspective.
Musk and Zuckerberg officially adopt Trump’s “super intelligence” label for AI, other tech chiefs yet to follow
In a significant shift, tech giants Elon Musk and Mark Zuckerberg have embraced the term 'super intelligence' to describe AI, following a pivotal lunch with Donald Trump that resulted in a new safety standards agreement. Meanwhile, executives from Alphabet, Amazon, and Microsoft still favor the traditional AI nomenclature in their dialogues.
A desi AI kill chain? Indian military steps towards battlefield AI
India's armed forces are working alongside Sarvam AI to establish a unified framework for military operations. The initiative focuses on improving battlefield intelligence, refining target acquisition, and streamlining decision-making across all service branches. Emphasizing a blend of cutting-edge technology and human judgment, this project signifies India’s dedication to enhancing its sovereign AI resources in the defense arena, with promising implications for operational effectiveness and data management.
Hospital balance sheet: How AI could cut costs and improve efficiency
As hospitals grapple with soaring costs in drugs, supplies, and labor, the integration of AI emerges as a vital necessity.
Dean of valuation Aswath Damodaran pegs Anthropic's worth at $1.475 trillion ahead of mega IPO
Aswath Damodaran values Anthropic at $1.475 trillion ahead of its anticipated IPO, but warns that compute costs, slowing revenue growth, and competition could alter its outlook. His scenarios range from a negative $373 billion to $4.04 trillion in equity value.
Chinese AI model carries out complex cyberattacks in controlled tests, researchers say
Chinese firm Z.AI's flagship AI model carried out complex cyberattacks in controlled simulations and repeatedly ignored instructions in separate tests, according to a report by AI security research firm Irregular.
Anthropic IPO: What 12 AI terms should investors know before buying shares amid $16.3 billion revenue and an $80.7 billion loss?
Anthropic's planned IPO could attract investors who want to benefit from the growth of artificial intelligence. But understanding the company's business will require more than looking at its revenue, losses and expected valuation. Its prospectus also uses technical terms that explain how its AI systems work, how the company trains its models and what risks it faces.
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