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The latest news and updates from companies in the WLTH portfolio.
Anthropic
OpenAI has pushed ChatGPT into the cultural mainstream through creator collaborations, advertising, sports sponsorships and everyday-use storytelling. Google Gemini dominates India's organic AI creator conversation by volume, while Perplexity has gained visibility through partnerships such as its tie-up with Airtel. Claude, by comparison, has largely stayed away from the loudest layer of India's AI marketing ecosystem. The absence is striking because India is already a major market for Anthropic. Industry executives say it is Claude's second-largest market globally, while the company has expanded through a Bengaluru office, local leadership and partnerships with large technology services firms. The question is whether its developer-first and enterprise-first strategy can translate into consumer mindshare without a more visible creator play. Rahul Khanna, Founder and CEO of BarCode, said the premise that Anthropic is ignoring India needs to be corrected. "Anthropic isn't ignoring India. India is Claude's second-largest market globally, their Bengaluru office opened in February, and their India revenue has doubled in under six months. What they've skipped, deliberately, is the creator layer," Khanna said. "Nearly half of Claude's Indian usage is code and technical work. That tells you exactly who they've reached and who they haven't." Enterprise first, creators later People familiar with Anthropic's India strategy said its go-to-market model is driven by developers, enterprises, systems integrators and channel partnerships rather than mass consumer awareness. Nearly half of Claude's India usage is estimated to come from computational and development-related work, including application development and legacy modernisation, rather than general consumer chat activity, one person said. Anthropic's India expansion has included a global premier partnership with Tata Consultancy Services, under which around 50,000 associates are expected to gain access to Claude, and a Cognizant deployment covering approximately 350,000 employees. The company has also highlighted enterprise users including Air India, CRED and Razorpay. "This is a systems-integrator and direct-enterprise-sales motion, not a mass-awareness motion," the person said. The source added that Anthropic's India infrastructure remains relatively young, with its local office, leadership and partnerships function taking shape only recently. "Sequencing-wise, an enterprise foundation typically precedes consumer brand spend. It does not necessarily need to run in parallel," the person said. Khanna said Anthropic's restraint should not automatically be read as a marketing failure. "Anthropic's restraint isn't a mistake. It's a positioning choice. They've built the serious AI brand: safety, enterprise, trust," he said. "In India, the model that creators teach becomes the model the country uses. A 22-year-old in Indore doesn't choose an AI because of benchmark scores. She chooses the one her favourite creator opened on screen," Khanna said. ChatGPT and Gemini are fighting a different battle Another industry source said OpenAI's consumer and advertising ambitions require mass daily usage and cultural familiarity, while Anthropic's India monetisation remains more API-led and seat-based. "That does not require the same consumer acquisition funnel," the person said. The difference can also be seen in the companies' brand voices. Anthropic's public positioning in India has centred on safety, technical capability, enterprise trust and CIO-facing use cases. OpenAI has presented ChatGPT as a tool for students, professionals, creators and families. "Paid influencer and brand campaigns are a consumer customer-acquisition play," the source said. "Anthropic's India go-to-market spending appears to be going into partner enablement and enterprise relationships, which is a lower-cost and faster path to enterprise revenue than building consumer awareness from zero." Shudeep Majumdar, CEO and Co-Founder of Zefmo, said Anthropic appears to be prioritising developers, businesses and partnerships over everyday consumers. "Claude is already popular among Indian developers, so Anthropic may feel it can grow through tech communities and enterprise tie-ups. ChatGPT, on the other hand, is positioning itself as a tool for everyone, be it students, professionals, creators and families, making influencer marketing a natural choice," he said. "In India, creators do not just promote technology, but they also help people understand how to use it," he said. Gemini dominates volume, but Claude reaches influential audiences Among four widely discussed AI brands in India's organic creator ecosystem, Google Gemini accounts for 66.98% of posts and 64.65% of creators, according to data shared by an industry source. ChatGPT follows with 25.33% of posts and 28.84% of creators. The reach data is more nuanced. ChatGPT accounts for 42.46% of reach, close to Gemini's 47.97%. Claude's reach share stands at 8.75%, nearly twice its creator share of 4.63%. Kalyan Kumar, Co-founder and CEO of KlugKlug, said ChatGPT continues to dominate social conversation because of its first-mover advantage and accumulated visibility. "Anthropic, however, appears to be taking a more measured approach. Rather than chasing mass visibility, it seems focused on building deeper credibility within developer communities and among more sophisticated AI users," Kumar said. "That strategy is helping it earn early advocacy from users who engage with AI in more nuanced and intensive ways." Is Claude's creator presence larger than it appears? A top source said Anthropic may not be entirely absent from India's creator ecosystem. Claude already has a visible body of content that often reads as personal recommendation rather than formal paid promotion. "The brand has a significant organic-looking creator presence in India, with a large number of creators producing Claude-focused content that reads as personal recommendation rather than paid promotion," they said. The source said Claude's paid footprint may be larger than declared partnership data captures, though undeclared commercial relationships cannot be reliably separated from organic advocacy. Creators are becoming AI's onboarding layer Sanya Bajaj, Co-founder of Crack'd, said Anthropic's relatively quiet creator strategy reflects a different philosophy of category creation rather than simply lower marketing investment. "The company has largely positioned Claude as an enterprise-grade AI assistant for developers and knowledge workers, whereas ChatGPT has pursued a consumer-first go-to-market strategy by investing heavily in education, creator partnerships and everyday use cases," Bajaj said. "The difference isn't just the marketing spend. It is a different approach to category creation." Bajaj said India's influencer marketing industry is expected to reach between Rs 4,500 crore and Rs 5,000 crore by 2027, growing at more than 22% annually, while the country's broader creator ecosystem has crossed 100 million participants. "They have become the distribution layer for new technologies, translating complex AI capabilities into relatable, everyday use cases," she said. "In AI, the first battle isn't model superiority. It is cognitive availability. People rarely compare products they haven't first learned how to use," Bajaj said. "For AI companies, creators are no longer a mere marketing channel. They are the missing layer between product innovation and mass adoption," she said. What could Anthropic's India creator play look like? Bajaj said Anthropic does not need celebrity influencers. "Its opportunity lies in building a creator-led ecosystem around developers, AI educators, founders and productivity experts who can demonstrate why Claude is differentiated," she said. "If ChatGPT is winning through ubiquity, Anthropic can win through expertise. But in India's highly community-driven digital ecosystem, remaining largely absent from creator conversations risks conceding mindshare long before consumers ever compare model capabilities." Khanna proposed a similar model. "The window is still open, and it's a better window than the one OpenAI took. Anthropic doesn't need 500 creators doing trends," he said. "It needs 500 of India's most credible builder-creators: coders, finance educators, founders and teachers, showing what Claude actually does. Depth over noise. That's on-brand for them, and it's the campaign India hasn't seen yet from any AI company." "ChatGPT became a household word in India the same way every consumer brand does here: through creators. Not through product superiority, but through cultural fluency," he said. "Creator marketing is no longer just distribution for AI companies. It's training data for their competitors," Khanna said. "Whoever builds the creator layer first shapes what every AI in India says about AI. That's the real stakes of this game." Anthropic's enterprise-first strategy may build revenue and credibility before consumer awareness. The risk is that rivals cement mindshare before Claude reaches mainstream users. "Nothing works in India until it's localised, and everything works in India once it is," Khanna said. "The question isn't whether creator marketing works for AI brands here. ChatGPT already proved it does. The question is whether Anthropic wants its India story written by developers alone, or by the 800 million Indians who'll meet AI through a screen held by someone they trust." For now, Anthropic's apparent play is clear: establish Claude through developers, enterprise customers and technology partners before investing heavily in consumer visibility. As Gemini dominates creator volume and ChatGPT builds cultural familiarity through campaigns and everyday storytelling, Anthropic may be succeeding with precisely the users it wants. But the users it has not yet tried to reach could determine whether Claude remains India's specialist AI assistant or becomes a mainstream one.
Anthropic settles with authors and publishers for $1.5 billion in landmark copyright case
A federal judge today approved a $1.5 billion settlement awarded to authors and publishers whose works were used by Anthropic PBC to train the AI chatbot, Claude, in what is the largest copyright class action settlement in history. Judge William Alsup issued a preliminary approval of the settlement last year, though he has since retired, with U.S. District Judge Araceli Martínez-Olguín today calling the settlement fair and adequate. "The $1.5 billion settlement provides substantial benefits to the class in light of the novel claims asserted," she wrote. "Success at trial was not assured, and a loss would have left the class with no recourse." The payout means authors and publishers will receive $3,000 for each of the roughly 500,000 works that Anthropic copied from pirate libraries while developing its AI chatbot, Claude. The plaintiffs alleged that Anthropic trained its models on hundreds of thousands of copyrighted books obtained from illegal piracy websites such as Library Genesis and Pirate Library Mirror. "Anthropic has attempted to steal the fire of Prometheus," wrote the plaintiffs. "It is no exaggeration to say that Anthropic's model seeks to profit from strip-mining the human expression and ingenuity behind each one of those works." The company is now required to destroy all the pirated material. The central issue that has spawned a plethora of lawsuits -- whether it is legal to train AI models on copyrighted material -- has not yet been definitively resolved. Judge William Alsup sided with Anthropic, ruling that training its AI on copyrighted books constituted fair use. However, he also held that obtaining those books from pirate websites fell outside the protection of fair use and therefore infringed copyright. Countless lawsuits are still awaiting resolution, with companies including Google LLC, Meta Platforms Inc., Midjourney Inc., Perplexity AI Inc., and OpenAI Group PBC, all hoping for a favorable outcome. "We reached this settlement in 2025, after the court's landmark ruling that training AI on books is fair use under copyright law -- which remains the law today," Anthropic deputy general counsel Aparna Sridhar said in a statement after today's judgment. "We are pleased that more than 91% of authors and publishers covered by the settlement have claimed their share of the payment, and we're looking forward to bringing this matter to a close."
DocuSign (DOCU) Brings Contract Automation to Perplexity's AI Platform for Legal Teams
DocuSign, Inc. (NASDAQ:DOCU) is one of the best low priced technology stocks to invest in. On June 24, DocuSign, Inc. (NASDAQ:DOCU) announced that its Intelligent Agreement Management platform is now available inside Perplexity Computer and the newly launched Computer for Counsel. The integration allows legal teams to automate contract work using AI. DocuSign said the integration runs on its Model Context Protocol server. The server is merely a connector that lets Perplexity securely tap into DocuSign's agreement data. This way, legal teams only need to describe what they need in plain language and have Docusign carry out the contract task from start to finish. The goal, according to Docusign, is to cut down on manual contract work. The specific tasks on target are drafting, reviewing, negotiating, and tracking agreements. Some of the use cases the company highlighted include reviewing vendor contracts against a company's playbook, negotiating sales contract renewals, and managing HR onboarding paperwork. The integration allows all these to happen without legal staff needing to jump between separate systems, the company stated. DocuSign explained that the feature is built into Computer for Counsel, which is a version of Perplexity's AI agent tailored specifically for in-house legal departments. Nathan Barksdale, General Counsel at Perplexity, said connecting Docusign to Computer allows legal teams to automate agreement workflows end-to-end. This integration, said Barksdale, reinforces the pitch that legal departments can now manage contracts without losing control of their underlying data. DocuSign, Inc. (NASDAQ:DOCU) is a software company. It provides electronic signature and intelligent agreement management solutions in the United States and internationally, including e-signature capabilities for sending and signing agreements across devices, Contract Lifecycle Management that automates workflows across the agreement process, and Document Generation for streamlining custom agreement creation. While we acknowledge the potential of DOCU as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock. Disclosure: None. Follow Insider Monkey on Google News.
Kimi K3: China's Moonshot AI Takes Aim at OpenAI, Anthropic - Internewscast Journal
Chinese startup Moonshot AI has introduced Kimi K3, a new artificial intelligence model that the company says narrows the performance gap with top U.S. systems and even beats OpenAI and Anthropic's strongest models in select benchmark tests. Moonshot said Friday that Kimi K3 does not yet surpass Anthropic's Claude Fable 5 or OpenAI's GPT 5.6 Sol in overall performance, but the model consistently ranked ahead of other systems included in its evaluations. According to the company, Kimi K3 outperformed Claude Opus 4.8 and GPT 5.5 -- models positioned just below the most advanced offerings from Anthropic and OpenAI -- across several benchmarks, including coding and general agent tasks. With 2.8 trillion parameters, a measure of the scale of its neural network, Kimi K3 is now the largest AI model developed in China to date. "Despite persistent hardware/compute capacity constraints in China, K3 demonstrates that pre-training scaling, paired with architectural innovation, can still deliver step-change gains for flagship Chinese models," Bank of America analysts wrote in a note led by Alex Liu. The launch lands at a time when competition between the United States and China over artificial intelligence leadership is becoming increasingly intense. Chinese AI systems have begun attracting more interest from Western businesses as their performance improves and their costs remain lower than the most advanced models produced by U.S. labs. At the same time, U.S. lawmakers are weighing ways to limit the adoption of Chinese AI models by American companies. Patrick Moorhead, CEO and chief analyst at Moor Insights and Strategy, described the market response to Kimi K3 as "an over-reaction shockingly similar the DeepSeek panic." In a post on X, he acknowledged the model's progress but cautioned that "We are far away from super-intelligence." Moorhead said in the post that large language models, or LLMs, like Kimi K3 will only "accelerate and grow the inference market faster than without," underscoring a general shift in the tech sector from merely focusing on the size and presumed capabilities of a model by itself to the overall application that the technology powers. Perplexity CEO Aravind Srinivas told CNBC last week that there's more focus from startups and developers to figure out the best methodologies for using AI models that can power their apps, instead of squarely focusing on one gigantic, underlying system. That's part of the reason why the freely available OpenClaw technology became so popular with developers earlier this year. The so-called harness lets coders more easily swap in and out various AI models that power digital assistants so they can take a series of actions without needing to rely on one single LLM by itself. "The model alone is no longer the product," Srinivas said at the time. "It is the harness, the orchestration system that puts the model inside a very capable harness and pairs the model with a lot of tools." Moorhead attributed what he believes to be an overreaction to Kimi K3's release to politics, telling CNBC in an email that "There's a big debate in Washington DC about whether the U.S. should use Chinese open source models and if U.S. companies should enable the Chinese to use their models." "The latter is ironic as the Chinese seem to be doing fine with their models," Moorhead said. Lu Zhang, the founder and managing partner of the Fusion Fund, said that despite the widespread attention models like Kimi K3 can receive, most of the developers that use the technology are "from the startup ecosystem, less from the large corporate side." These coders will often swap one AI model out when there's a more powerful version available or at least one that's cheaper and more efficient to run in their respective apps, she explained. And while these AI models may seem extremely powerful at first glance, they are not "plug and play" and they require a lot of technological know-how from developers to actually make use of their underlying capabilities, Zhang said. Although general discourse involving the open-weight AI model space can often involve the broader "narrative of U.S.-China competition," Zhang said that there are several U.S. companies that are increasingly debuting open-weight AI models. Two of those are Thinking Machines and DeepReinforce, which is backed by Zhang's fund. She said it was only a matter of time that a more advanced open-weight AI model captured the zeitgeist, given how fast the overall space is moving. Similar to how the debut of DeepSeek's R1 AI model in 2025 generated attention for presumably being more cost-efficient relative to proprietary technologies, the current hoopla over Kimi K3 can be attributed to rising concerns about AI's overall cost and ability to generate returns on investment. Simon Koser, the chief product officer at the AI startup Tzafon, said that Kimi K3 is legitimately impressive in that it is performing well in areas like coding, and developers at AI labs could find it compelling. "Cost has become a huge thing for some of these labs," Koser said, underscoring how AI leaders like Anthropic and OpenAI may feel some pressure from cheaper AI models being available on the market. Still, there are many ways to use the technology, and not every AI model excels in every task despite what the initial benchmark tests may show. Certain AI models may react differently when put in production versus when they are tested, and there's no true jack-of-all-trades AI model that's superior to everything else on the market. "It's going to seem like a lot of people are changing," Koser said. "But in practice, I'm not sure if the shift is that huge." Founded in 2023, Beijing-based Moonshot AI is one of China's leading model builders. It raised $2 billion at a more than $20 billion valuation in May, Bloomberg reported. Backers include Chinese tech giants Alibaba, which makes the Qwen series of AI models, and Tencent. Chinese AI rivals' shares dropped on news of the release. Z.ai, which released a new model to much fanfare in June, saw its stock plummet 28% on Friday. MiniMax Group, another Chinese model company, fell 16%. "K3 raises the capability ceiling for China AI models, shifting the burden of proof to other independent AI labs," said Liu. Earlier this week, Alibaba saw its stock buoyed by news that it was partnering with Apple in China. However, shares dropped 4% Friday. "For Alibaba, while it benefits from broad AI training/usage growth for its cloud service given tight compute environment, Alibaba Qwen's "open-source leader" narrative may face some tests," said Liu. Choose CNBC as your preferred source on Google and never miss a moment from the most trusted name in business news.
German Regulator Rules Google AI Overviews, Perplexity Subject To National Media Law
Germany's media regulator ruled Google AI Overviews and Perplexity are subject to national media law, increasing oversight of AI-generated content. Germany's media regulator has ruled that Google's AI Overviews and Perplexity AI are subject to the country's media laws, significantly expanding oversight of artificial intelligence-generated content following a recent court ruling against Google. The Commission for Licensing and Supervision (ZAK), which represents Germany's 14 state media authorities, said AI-generated search summaries and chatbot responses should be treated as content produced by the providers themselves rather than as a simple display of information from third-party websites. The decision follows a ruling by a Munich court that found Google could be held liable for allegedly false information generated by its AI Overview feature, concluding that the AI-generated summaries constitute the company's own content. ZAK Chairman Thorsten Schmiege said AI-powered search engines and chatbots are content providers and will henceforth be regulated under Germany's media laws. The regulator also said liability protections under the European Union's Digital Services Act, which generally shield online platforms from responsibility for unlawful user-generated content, do not apply to AI-generated responses because the content is created by the providers themselves. ZAK argued that Google's AI Overviews are displayed prominently in search results, reducing the visibility of traditional website links and potentially placing independent media organisations at a competitive disadvantage. It further said AI chatbots such as Perplexity influence how users access news by selecting and presenting sources, links and recommendations alongside AI-generated responses, potentially qualifying them as media intermediaries subject to regulations aimed at safeguarding media plurality. Google said it would appeal the ruling, arguing that the decision fails to recognise how people's search habits and the digital information ecosystem are evolving. The company maintained that its AI-powered summaries enhance users' search experience by helping them discover relevant content more efficiently and ask follow-up questions. Perplexity declined to comment on the decision, saying only that it complies with the European Union's General Data Protection Regulation (GDPR) and maintains SOC 2 Type II certification covering its security and privacy practices.
German regulator says Google and Perplexity must follow media laws - Cryptopolitan
Germany's regulator is focusing on how AI products distribute news and who is responsible for the output when it is incorrect. Germany's media watchdog said Google's AI Overviews and Perplexity AI are content providers under the country's media law on Tuesday. This means that the two most popular AI search engines now have to follow the same rules as regular publishers and are directly liable for the content generated by their AI systems. The decision was made by ZAK, the Commission for Licensing and Supervision, which is made up of 14 German state media. ZAK found that the companies running AI created news summaries and chatbot responses are the authors. That's a critical distinction because it implies AI products can no longer hide behind the legal shield they have relied on in the past. "AI search engines and chatbots are content providers," ZAK Chairman Thorsten Schmiege said in a statement. "From now on, we will always apply German media law to them." In those cases, the Digital Services Act's responsibility exemption is not applicable, the regulator said. That immunity typically shields platforms from liability for user created illicit content. German court holds Google responsible for AI Overview content The decision by ZAK came after a court in Munich said that Google was directly responsible for the allegedly false statements that its AI Overview feature made. The court saw the summaries as Google's own work, not as repackaging information from other sources. That reasoning is the same as what ZAK applied to the broader issue of media law. Once an AI system is the author of what appears on screen, the company behind it bears the obligations and risks associated with publication. ZAK says that Google's AI Overviews show up at the top of search results, pushing down traditional lists of links. The regulator thinks this is unfairly hurting third-party media outlets that depend on that traffic. ZAK says that tools like Perplexity change the news that people read by letting users pick and show sources, links, or suggestions along with their own answers. On that basis, the regulator stated that such services could qualify as media intermediaries, a category with rules designed to protect media plurality. The German move comes as global pressure grows for formal oversight of frontier AI systems. According to Cryptopolitan, Google DeepMind CEO Demis Hassabis recently called for a US watchdog, similar to Wall Street regulator FINRA, to screen the most powerful AI models before they are released. Anthropic CEO Dario Amodei has advocated for a more powerful agency, similar to the FAA, with the authority to prohibit unsafe models. These proposals address safety concerns with the underlying models. Germany's regulator is looking into how AI products distribute news and who is responsible if the output is incorrect.
How To Stop Your Airtel Perplexity Pro Free Trial Before You're Billed
To avoid automatic billing, Airtel users should cancel their subscriptions before the renewal date. (AI Image) Airtel users who claimed the complimentary one-year Perplexity Pro subscription through the Airtel Thanks app may soon need to make an important decision. The free promotional offer, introduced through a partnership between Airtel and Perplexity in 2025, is now approaching its end for many subscribers. If you don't plan to continue with the paid version, you may want to cancel your subscription before the renewal date to avoid automatic billing. Keep on reading to know everything about cancelling your Airtel Perplexity Pro subscription and how to make sure your account isn't charged unexpectedly.
Anthropic Claude India Pricing announced: Check what users will have to pay for Claude services
Anthropic Claude Cost India: Anthropic now offers its Claude AI assistant with pricing in Indian rupees. This move simplifies payments and removes currency conversion fees for users. India has become Anthropic's second-largest global market after the United States. The company recently opened an office in Bengaluru to support its growth. Localized pricing is crucial for competing in India's tech market. Anthropic has quietly done something Indian users have been asking for: it has started charging for its Claude AI assistant in rupees instead of US dollars. The switch means anyone signing up for a paid Claude plan in India will now see prices in familiar currency, without the extra math or the surprise dollar conversion charges that usually show up on the credit card bill. What Changes for Anthropic UsersIndian subscribers browsing Claude's web and mobile apps will now find rupee price tags on every paid tier. Gone is the need to route payments through international cards or absorb currency conversion fees, a hurdle that has long kept budget-conscious users away from foreign AI subscriptions. Anthropic Claude India Pricing: The New Price TagsClaude Pro: Rs 2,000 a month if billed yearly, or Rs 2,399 a month if paid monthly Claude Max: Two new tiers at Rs 11,999 and Rs 23,999 a month, built for developers, researchers and anyone who burns through AI credits quickly Claude Team: Starts at Rs 2,399 per user per month on annual billing, aimed at businesses Claude Team Premium: Rs 11,999 per user per month for companies wanting higher limits All these figures already include GST, so there are no hidden add-ons at checkout. Why Anthropic Is Betting Big on IndiaThe numbers explain the urgency. India now makes up 5.8% of Claude's entire global user base, enough to place it just behind the US in Anthropic's rankings. Growth has been sharp too. Anthropic CEO Dario Amodei said Anthropic's revenue run rate in India had doubled in just four months, a pace that has clearly caught the company's attention. That kind of momentum is hard to ignore, and it explains why Anthropic has been laying down roots rather than just testing the waters. Anthropic Setting Up Shop in BengaluruThe rupee pricing is the latest step in a broader India push. Anthropic opened its first Indian office in Bengaluru back in February, giving it a direct line to the country's massive developer and enterprise community. It has also teamed up with homegrown fintech player Razorpay, making it easier for Indian businesses to plug Claude into their own products and services. A Crowded BattlefieldAnthropic is not the only one eyeing India's AI appetite. OpenAI, Google, Microsoft and Perplexity have all ramped up their India game with new launches, partnerships and enterprise deals of their own. Local pricing gives Anthropic one less excuse for price-sensitive Indian users to look elsewhere, and one more reason to believe the country is no longer just another market on the map, but a genuine growth engine for the company.
Anthropic Starts India Pricing For Claude AI, Pro Plan At Rs 2,000
The pricing update underscores India's growing importance for Anthropic File photo Anthropic has started introducing India-specific pricing for its Claude AI assistant, allowing users to pay for subscriptions in rupees instead of US dollars. The move is expected to make the chatbot more accessible to Indian users and marks another step in the company's growing focus on what it now describes as its second-largest market after the United States. Indian users are beginning to see local pricing across Claude's paid plans on the web and mobile apps, eliminating the need for dollar-denominated payments and reducing the friction associated with international transactions. The localisation comes as global AI companies race to expand in India, one of the world's fastest-growing markets for generative AI. Under the new pricing, Claude Pro will cost Rs 2,000 per month with annual billing, or Rs 2,399 per month if billed monthly. Anthropic has also introduced two Claude Max tiers priced at Rs 11,999 and Rs 23,999 per month, offering significantly higher usage limits for developers, researchers and power users. Businesses can subscribe to the Claude Team plan from Rs 2,399 per user per month on annual billing, while the Premium Team tier is priced at Rs 11,999 per user per month. All prices include GST. The pricing update underscores India's growing importance for Anthropic. The company says India has emerged as its second-largest market globally after the US, accounting for 5.8% of Claude's worldwide user base. Earlier this year, CEO Dario Amodei said Anthropic's revenue run rate in India had doubled in just four months, highlighting the rapid pace of AI adoption in the country. Anthropic has been steadily expanding its presence in India. In February, the company opened its first office in Bengaluru and has since increased its focus on developers and enterprises. The company has also partnered with fintech firm Razorpay to make Claude more accessible to businesses building AI-powered products and services. The latest move comes as competition in the AI assistant market intensifies. OpenAI, Google, Microsoft and Perplexity have all stepped up their efforts in India through new products, partnerships and enterprise offerings. By introducing local currency pricing, Anthropic is lowering one of the biggest barriers to paid subscriptions while signalling that India is becoming central to its long-term growth strategy. How may i help you today Show full article Track Latest News Live on NDTV.com and get news updates from India and around the world Anthropic, AI Adoption India, Generative AI Market
How to Get Your Business Recommended by ChatGPT, Gemini, and Perplexity
Marketing strategist Zues Ordaz, whose agency is recommended #1 across leading AI platforms including ChatGPT, Gemini, and Perplexity. AI search doesn't recommend whoever shouts loudest. It recommends whoever the web already trusts. The businesses that build that trust now will own their category for years." -- Zues Ordaz, Founder & CEO, New Gen Marketing Company WORTHINGTON, MN, UNITED STATES, July 8, 2026 /EINPresswire.com/ -- The way people find businesses is changing faster than most owners realize. According to BrightLocal's 2026 Local Consumer Review Survey, 45% of consumers used AI tools like ChatGPT, Gemini, and Perplexity to find local businesses in the past year -- up from just 6% a year earlier. That sevenfold jump now makes AI the third most-used business discovery channel, behind only Google and Facebook. Yet most businesses are nowhere to be found in those AI answers. A 2026 SOCi Local Visibility Index analysis of more than 350,000 business locations found that ChatGPT recommends just 1.2% of local businesses. The gap between how buyers now search and which businesses actually appear has rarely been wider. To help business owners close that gap, entrepreneur and marketing strategist Zues Ordaz has released a free step-by-step guide showing exactly how to get a business, product, or service recommended by AI platforms -- a practice known as Generative Engine Optimization, or GEO. "Buyers are asking AI who to hire before they ever open Google," said Ordaz. "If you're not in the answer, you don't exist to that customer. The good news is that showing up is a system anyone can build -- and I'm giving away the exact steps." Ordaz speaks from results. When users ask ChatGPT, Gemini, or Perplexity for the best marketing company in Worthington, Minnesota, all three recommend his agency, New Gen Marketing Company, as their #1 choice. He built that visibility using the same method now detailed in his free guide. The demand behind the strategy is well documented. Research from McKinsey in early 2026 found that 44% of AI-search users now consider AI their primary source of information, ahead of traditional search at 31%. BrightLocal's survey also reported that 63% of active AI users trust AI recommendations for local businesses. Meanwhile, ChatGPT alone has grown to roughly 900 million weekly active users, according to OpenAI -- a platform that did not exist four years ago. Ordaz's guide walks owners through the full process: auditing how a business currently appears across AI platforms, structuring a website and citations so AI can understand and trust it, building the third-party authority signals AI systems draw from -- including distributed press coverage -- and reinforcing it all with consistent content. "Most local businesses haven't figured this out yet, which is exactly why the opportunity is so big right now," Ordaz said. "AI systems learn patterns over time. The businesses that move first set the baseline their competitors will have to beat." The free guide is delivered inside Ordaz's AI Prompt Vault -- a growing library of the prompts, templates, and systems he uses to run his agency and create content. Access is free at the link below. Beyond his agency, Ordaz is a content creator with more than 141,000 YouTube subscribers, where he publishes tutorials and reviews on AI tools, software, and business growth for entrepreneurs navigating the shift to AI-driven marketing. About Zues Ordaz: Zues Ordaz is an entrepreneur, marketing strategist, and content creator focused on helping business owners grow using AI-driven digital marketing. He is the founder and CEO of New Gen Marketing Company and creates educational content on AI tools, software, and business strategy for an audience of more than 141,000 subscribers on YouTube, along with TikTok and Instagram. About New Gen Marketing Company: New Gen Marketing Company is a full-service digital marketing agency founded by Zues Ordaz. The agency helps small and medium-sized businesses build visibility in both traditional search and AI-generated results, offering Generative Engine Optimization (GEO), short-form content creation, UGC advertising, AI automations, paid media across Meta, TikTok, and Google, web design and funnel development, and photography and video production. Media Contact: Zues Ordaz, Founder & CEO New Gen Marketing Company [email protected] https://newgenmarketingcompany.com YouTube: @ZuesOrdaz · TikTok: @zues_ordaz · Instagram: @zues_ordaz Zues Ordaz New Gen Marketing Company [email protected] Visit us on social media: Instagram YouTube TikTok Other Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.
How to Get Your Business Recommended by ChatGPT, Gemini, and Perplexity
Marketing strategist Zues Ordaz, whose agency is recommended #1 across leading AI platforms including ChatGPT, Gemini, and Perplexity. AI search doesn't recommend whoever shouts loudest. It recommends whoever the web already trusts. The businesses that build that trust now will own their category for years." -- Zues Ordaz, Founder & CEO, New Gen Marketing Company WORTHINGTON, MN, UNITED STATES, July 8, 2026 /EINPresswire.com/ -- The way people find businesses is changing faster than most owners realize. According to BrightLocal's 2026 Local Consumer Review Survey, 45% of consumers used AI tools like ChatGPT, Gemini, and Perplexity to find local businesses in the past year -- up from just 6% a year earlier. That sevenfold jump now makes AI the third most-used business discovery channel, behind only Google and Facebook. Yet most businesses are nowhere to be found in those AI answers. A 2026 SOCi Local Visibility Index analysis of more than 350,000 business locations found that ChatGPT recommends just 1.2% of local businesses. The gap between how buyers now search and which businesses actually appear has rarely been wider. To help business owners close that gap, entrepreneur and marketing strategist Zues Ordaz has released a free step-by-step guide showing exactly how to get a business, product, or service recommended by AI platforms -- a practice known as Generative Engine Optimization, or GEO. "Buyers are asking AI who to hire before they ever open Google," said Ordaz. "If you're not in the answer, you don't exist to that customer. The good news is that showing up is a system anyone can build -- and I'm giving away the exact steps." Ordaz speaks from results. When users ask ChatGPT, Gemini, or Perplexity for the best marketing company in Worthington, Minnesota, all three recommend his agency, New Gen Marketing Company, as their #1 choice. He built that visibility using the same method now detailed in his free guide. The demand behind the strategy is well documented. Research from McKinsey in early 2026 found that 44% of AI-search users now consider AI their primary source of information, ahead of traditional search at 31%. BrightLocal's survey also reported that 63% of active AI users trust AI recommendations for local businesses. Meanwhile, ChatGPT alone has grown to roughly 900 million weekly active users, according to OpenAI -- a platform that did not exist four years ago. Ordaz's guide walks owners through the full process: auditing how a business currently appears across AI platforms, structuring a website and citations so AI can understand and trust it, building the third-party authority signals AI systems draw from -- including distributed press coverage -- and reinforcing it all with consistent content. "Most local businesses haven't figured this out yet, which is exactly why the opportunity is so big right now," Ordaz said. "AI systems learn patterns over time. The businesses that move first set the baseline their competitors will have to beat." The free guide is delivered inside Ordaz's AI Prompt Vault -- a growing library of the prompts, templates, and systems he uses to run his agency and create content. Access is free at the link below. Beyond his agency, Ordaz is a content creator with more than 141,000 YouTube subscribers, where he publishes tutorials and reviews on AI tools, software, and business growth for entrepreneurs navigating the shift to AI-driven marketing. About Zues Ordaz: Zues Ordaz is an entrepreneur, marketing strategist, and content creator focused on helping business owners grow using AI-driven digital marketing. He is the founder and CEO of New Gen Marketing Company and creates educational content on AI tools, software, and business strategy for an audience of more than 141,000 subscribers on YouTube, along with TikTok and Instagram. About New Gen Marketing Company: New Gen Marketing Company is a full-service digital marketing agency founded by Zues Ordaz. The agency helps small and medium-sized businesses build visibility in both traditional search and AI-generated results, offering Generative Engine Optimization (GEO), short-form content creation, UGC advertising, AI automations, paid media across Meta, TikTok, and Google, web design and funnel development, and photography and video production. Media Contact: Zues Ordaz, Founder & CEO New Gen Marketing Company [email protected] https://newgenmarketingcompany.com YouTube: @ZuesOrdaz · TikTok: @zues_ordaz · Instagram: @zues_ordaz Zues Ordaz New Gen Marketing Company [email protected] Visit us on social media: Instagram YouTube TikTok Other Legal Disclaimer: EIN Presswire provides this news content "as is" without warranty of any kind. We do not accept any responsibility or liability for the accuracy, content, images, videos, licenses, completeness, legality, or reliability of the information contained in this article. If you have any complaints or copyright issues related to this article, kindly contact the author above.
NVIDIA Vera CPU Demand Rises as Perplexity Backs Its AI Inference Performance - OnMSFT
NVIDIA Vera CPU demand is rising as more AI firms look for faster processors built for inference and agentic AI workloads, with Perplexity now joining the list of companies backing NVIDIA's latest data center CPU. According to Reuters, Perplexity VP Nate Kupp said Vera was a strong fit for the company's core workloads, as the chip delivered around 1.5 times faster performance than traditional CPUs in agentic AI coding tasks. Why NVIDIA Vera Matters for AI Workloads NVIDIA has positioned Vera as a CPU built for AI inference, where speed, predictable latency, and strong single-threaded performance matter more than simply adding more cores. Agentic AI workloads run in repeated loops, where the CPU handles a task, sends results back, and then helps the model decide the next step. NVIDIA says conventional CPUs do not handle this pattern well because more cores do not always reduce the time each step takes. Vera uses NVIDIA's custom Olympus cores and brings 50% higher IPC than Grace, which means each core can handle more instructions while staying efficient under load. Vera Focuses on Single-Threaded Speed NVIDIA describes Vera as a "Max Single-Threaded" CPU at scale, with strong per-core performance, high memory bandwidth, and predictable latency across workloads. The chip pairs its 88 cores with up to 1.2TB/s of LPDDR5X memory bandwidth while keeping memory power below 40W. NVIDIA also says Vera's monolithic compute die provides 3.4TB/s of core-to-core bandwidth, which helps reduce bottlenecks during demanding AI tasks. Perplexity's early results show why AI companies are paying attention. NVIDIA also claims stronger results in concurrent sandboxes, SQL analytics, and real-time streaming workloads when compared with traditional x86 CPU offerings. With Vera already reaching companies such as OpenAI, xAI, Oracle, Anthropic, and Perplexity, NVIDIA is now pushing deeper into the CPU market while preparing Rosa, its next-generation data center CPU with the newer Rigel core architecture.
