LTM Partners with Anthropic to Accelerate Claude Adoption and Expand Enterprise Delivery

• Claude and Claude Code embedded into LTM BlueVerse™ AI Delivery Fabric to power AI-led transformations

LTM, the Business Creativity partner to the world's largest enterprises, today announced a partnership with Anthropic, the frontier AI company behind Claude, to accelerate enterprise-scale adoption of Claude, Claude Code and Claude Cowork across engineering, modernization, and business workflows.

LTM will combine Claude, Claude Code and Claude Cowork with its enterprise implementation expertise to help clients move from pilots to production with market-leading productivity, throughput, quality underscored by assurance and transparency. LTM will specifically bring this expertise and capability to BFSI, Hi-Tech, Consumer and Production Industry domains.

The three strategic focus areas of partnership include:

1. LTM BlueVerse™: AI Delivery Fabric: LTM BlueVerse AI Delivery Fabric will serve as the enterprise implementation layer for Claude adoption, integrating Claude and Claude Code into delivery workflows across AI-led software engineering, application modernization, agent orchestration, Site Reliability Engineering (SRE), Observability, and Chaos Engineering
2. LTM AI1000: Talent Enablement program: LTM will also scale its AI1000 initiative to train and deploy thousands of Claude-certified architects and Forward Deployed Engineers (FDEs) who can work with clients from assessment and architecture through assessment, implementation, and continuous improvement.
3. Claude Center of Excellence (CoE): LTM will establish a dedicated Center of Excellence (CoE) for Claude as the partnership's scale engine – to build reusable Skills, agentic MVPs, reference architectures, and playbooks spanning cloud-native and platform-based applications. The CoE will provide governance backbone across responsible use, agent lifecycle, model governance, and data-privacy/residency compliance. It will also keep delivery aligned with Claude's evolving capabilities.

"LTM brings delivery expertise, trained people, and long-standing client relationships across industries, and their customers want to embed Claude into the systems they rely on. LTM is embedding Claude and Claude Code in BlueVerse, bringing trusted frontier AI technology to the center of how they do what they do best - help their clients build, modernize, and run their software," said Chris Ciauri, Managing Director of International, Anthropic.

“LTM helps clients accelerate AI adoption and translate AI investments into measurable business outcomes through our partnership with Anthropic. Combining Claude with LTM’s BlueVerse ecosystem, deep domain expertise, technology capabilities, and AI1000 talent initiative creates a powerful foundation for enterprises to embed AI across their business and modernize at scale,” said Venu Lambu, CEO and Managing Director, LTM.

The partnership will include joint go-to-market initiatives focussed on measurable business outcomes. LTM will also scale internal adoption by embedding Claude, Claude Code, and Claude Cowork into its delivery model to establish consistent adoption patterns and market-leading productivity benchmarks across the SDLC, with autonomous learning feedback into the Claude CoE and BlueVerse ecosystem.

About LTM

LTM — a Larsen & Toubro Group Company — is an AI-centric global technology services company and the Business Creativity partner to the world’s largest enterprises. We bring human insights and intelligent systems together to help clients create greater value at the intersection of technology and domain expertise. Our capabilities span integrated operations, transformation, and business AI — enabling new ways of working, new productivity paradigms, and new roads to value. Together with over 87,000 employees across 40 countries and our global network of partners, LTM owns outcomes for our clients, helping them not just outperform the market, but Outcreate it. Read more at LTM.com.

Anthropic Eyes Samsung Partnership to Build Next-Gen AI Chips

Anthropic has entered preliminary talks with Samsung to manufacture a custom AI chip using Samsung’s advanced 2nm process, a move that could reshape the AI hardware landscape by reducing dependence on Nvidia and optimizing costs for running Claude at scale. While no design or production timeline has been finalized, the discussions highlight Anthropic’s ambition to build in-house silicon expertise and Samsung’s push to challenge TSMC in cutting-edge foundry services. 

Anthropic’s Strategic Shift

Anthropic, valued at nearly $965 billion, is exploring custom silicon as part of a broader industry trend where leading AI labs seek control over their hardware supply chains.
The company has begun defining specifications for a processor that could handle inference workloads—the computationally intensive task of running large language models like Claude—rather than training, which remains dominated by Nvidia GPUs and Google TPUs. This mirrors OpenAI’s unveiling of its Broadcom-designed “Jalapeño” inference accelerator.

The hiring of Clive Chan, a key engineer from OpenAI’s chip team, underscores Anthropic’s intent.

Chan helped design Jalapeño and brings expertise in building accelerators from the software layer up, giving Anthropic a strong foundation for its own silicon program.

Why Samsung?

Samsung’s appeal lies in both financial alignment and manufacturing capability.
The company participated in Anthropic’s $65 billion Series H round in May 2026, alongside SK Hynix and Micron, but unlike those firms, Samsung operates a foundry capable of producing advanced logic chips.

The talks focus on Samsung’s SF2 2nm process, which uses Gate-All-Around (GAA) nanosheet transistors for improved efficiency and density, and its advanced packaging technology, critical for high-bandwidth connections between logic and memory.

If successful, Anthropic would become a marquee client for Samsung Foundry, bolstering its bid to compete with TSMC, the current leader in advanced semiconductor manufacturing.

Industry Context

The move reflects a broader diversification trend in AI hardware.

Nvidia currently controls about 74% of the AI chip market, but soaring GPU costs—H100 units sell for over $30,000 each—and supply constraints are driving AI labs to explore alternatives.

Custom inference chips could reduce Anthropic’s costs by 30–50%, while ensuring more predictable access to compute capacity.

• OpenAI partnered with Broadcom for Jalapeño.
• Google continues to scale its in-house TPUs.
• Amazon offers Trainium and Inferentia chips via AWS.
• Meta is exploring custom silicon but remains in early stages.

Risks and Challenges

Despite the promise, the project remains nascent.

Anthropic has not finalized specifications, prototypes, or a manufacturing timeline.
Consulting multiple chip design firms suggests it may outsource parts of the architecture.
Even if development proceeds, production-ready chips could be years away, leaving Anthropic reliant on Nvidia, Google, and Amazon in the near term.

Implications

If Anthropic and Samsung succeed, the partnership could mark a turning point in AI infrastructure.

For Anthropic, it means greater autonomy, lower costs, and tailored performance for Claude.

For Samsung, it offers a chance to secure a high-profile AI client and strengthen its position against TSMC.

For the industry, it signals a future where AI labs own their full stack—from silicon to software—reducing reliance on external suppliers.

Wipro Advances Enterprise AI Leadership with an Applied AI CoE for Claude Models, Powered by Anthropic

Representative Image

• Leveraging Wipro Intelligence™ to deliver business outcomes with Anthropic’s Claude models through repeatable delivery methodologies and enterprise-grade execution.

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO), a leading AI-powered technology services and consulting company, today announced the launch of its Applied AI Center of Excellence (CoE) for Claude models powered by Anthropic, reinforcing its commitment to accelerating enterprise AI impact. The CoE was inaugurated at its Bengaluru innovation hub, and is a key initiative under the newly formed AI-Native Business & Platforms Unit.

The CoE strengthens Wipro’s ability to scale enterprise AI adoption using Claude models. These capabilities are integrated across the Wipro Intelligence™ stack – including delivery, functional, and industry platforms, to embed AI into core business workflows across industries.

Wipro has been building a global talent pool of Forward Deployed Engineers (FDEs) trained on Claude models, with a deep understanding of model behaviour and real-world application. These engineers operate within client environments, combining knowledge of business processes and technology landscapes with hands-on model expertise. The objective is to accelerate AI integration into workflows and deliver clear, measurable outcomes, reflecting a ‘proof over promise’ approach that underpins Wipro’s AI strategy.

The Applied AI CoE for Claude also serves as a hub to accelerate the development of AI-native platforms and industry solutions across Mortgage, Healthcare, Airlines, Manufacturing and Consumer sectors. Claude models are embedded into Wipro’s platforms to enable co-innovation with clients in live environments, while also scaling AI adoption across Wipro’s own Finance, HR, and Sales functions as part of its internal transformation.

A key differentiator in Wipro’s enterprise AI strategy is the certification of 10,000 Front-Line Delivery Experts on their use of Claude over the next 18 months. This program is designed to build a strong base of practitioners capable of designing, deploying, and operating AI-enabled systems in complex enterprise environments.

Wipro is strengthening its enterprise AI leadership with the Applied AI Center of Excellence for Claude models, powered by Anthropic, said Srini Pallia, Chief Executive Officer and Managing Director, Wipro Limited. This marks a fundamental shift in how we deliver, and advances our strategy of being consulting-led and AI-powered. By combining the power of Claude models with our deep domain and enterprise expertise, we are driving measurable business outcomes for our clients. Embedding Forward Deployed Engineers within client environments, alongside integrating AI across our own operations, enables us to accelerate enterprise-scale adoption with a clear focus on business value.

This CoE is a significant step in Wipro’s journey to operate as an AI-native enterprise, bringing together platform integration, deep model expertise, and embedded delivery to help clients adopt AI at scale and unlock its full potential.

About Wipro Limited

Wipro Limited (NYSE: WIT, BSE: 507685, NSE: WIPRO) is a leading AI-powered technology services and consulting company focused on building innovative solutions that address clients’ most complex digital transformation needs. Leveraging our consulting-led approach and the Wipro Intelligence™ unified suite of AI-powered platforms, solutions and transformative offerings, we help clients realize their boldest ambitions to build intelligent and sustainable businesses. The Wipro Innovation Network – part of the Wipro Intelligence™ suite – underpins our commitment to client-centric co-innovation and co-creation by bringing together capabilities from the innovation labs and partner labs, academia, and global tech communities. With over 240,000 employees and business partners across 65 countries, we deliver on the promise of helping our customers, colleagues, and communities thrive in an ever-changing world. For additional information, visit us at www.wipro.com.

Infosys, TCS Join India’s Cyber Watch Against Anthropic's AI Risks

Infosys, TCS, and India’s cybersecurity agency CERT-In are actively testing critical banking and government systems for vulnerabilities linked to Anthropic’s powerful new AI model, Mythos. The focus is on securing platforms like Infosys’s Finacle banking software, Aadhaar, and government login systems before Mythos becomes widely accessible.

• Infosys: Testing and patching its Finacle banking software, widely used by banks globally.
• TCS: Running secure audits on government and financial systems, including India’s passport platform.
• CERT-In: Stress-testing Aadhaar and government login systems for AI-driven cyberattack risks.
• Anthropic Mythos: A next-gen AI capable of autonomously detecting software flaws across major systems.

India’s proactive testing shows recognition of the AI-cybersecurity arms race. The question now is whether India will gain controlled access to Mythos to strengthen defenses—or face risks from adversaries who exploit it first.

System	Entity Testing	Risk Focus
Finacle banking software	Infosys	Hidden flaws in global banking platforms
Passport system	TCS	Identity & travel document security
Aadhaar national ID	CERT-In	Citizen data protection
Gov login systems	CERT-In	Authentication & access control

Risks & Concerns

• Lower barrier for attackers: Mythos could allow less-skilled actors to exploit critical flaws.
• Financial exposure: Banking systems like Finacle are used internationally, meaning vulnerabilities could ripple globally. 
• Civilian data risk: Aadhaar and government login systems hold sensitive citizen information, making them prime targets.

India’s proactive testing shows recognition of the AI-cybersecurity arms race. The question now is whether India will gain controlled access to Mythos to strengthen defenses—or face risks from adversaries who exploit it first.

Anthropic Strikes $200B Google Cloud Pact, Redefining AI Infrastructure Scale

Anthropic has committed to spend an unprecedented $200 billion with Google Cloud over the next five years, making it one of the largest AI-cloud infrastructure deals ever. This accounts for more than 40% of Google’s disclosed revenue backlog and signals a deepening partnership between the two companies.

• Value & Duration: $200 billion over five years (2026–2031)
• Scope: Google Cloud services and custom Tensor Processing Units (TPUs)
• Capacity: Multi-gigawatt TPU capacity expected from 2027
• Revenue Impact: Anthropic represents 40%+ of Google Cloud’s backlog (~$460B)
• Alphabet Investment: Up to $40 billion directly in Anthropic

Strategic Implication

Aspect	Impact
Google Cloud	Secures a top-tier AI client, boosting revenue visibility and cementing leadership in agentic AI infrastructure.
Anthropic	Gains guaranteed access to massive compute power, critical for scaling Claude AI models.
Broadcom	Benefits as Google’s chip partner, co-developing TPUs through 2031.
AI Market	Contracts from Anthropic + OpenAI now account for over half of $2 trillion in cloud backlogs across AWS, Azure, and Google Cloud.

• Market Reaction: Alphabet shares rose ~2% in extended trading after the news.
• Risks: Sustainability concerns, competitive pressure from OpenAI & Amazon, dependency on Google Cloud.
• AI Impact: Accelerates agentic AI era, scales Claude models, sets new precedent for hyperscaler partnerships.

What This Means for AI

• Shift to Agentic AI: Google executives frame this as part of the “era of the agent,” where AI systems reason, coordinate, and execute tasks autonomously. 
• Claude Expansion: Anthropic’s Claude models will scale rapidly, supported by diversified compute across Google, AWS, and Nvidia.
• Industry Benchmark: This deal sets a new precedent for AI-cloud partnerships, likely influencing future contracts across hyperscalers.  

US Military Using Anthropic's Claude to Select Targets in Iran Strikes

The recent revelation that the U.S. military employed Anthropic’s Claude AI to assist in target selection during strikes on Iran has ignited a global debate about the role of artificial intelligence in warfare. The decision came just hours after President Donald Trump announced a government-wide ban on Anthropic’s tools, underscoring a sharp disconnect between political directives and military operations.

Claude’s Role in the Iran Strikes

• Operational Use: Claude was reportedly deployed by U.S. Central Command (CENTCOM) to conduct intelligence assessments, target identification, and combat scenario simulations.
• Timing Conflict: The strikes occurred immediately after Trump’s ban, raising questions about enforcement and chain-of-command discipline.
• Coalition Context: The AI-assisted strikes were part of a joint U.S.–Israeli campaign, which has already drawn criticism due to civilian casualties, including the bombing of an elementary school.
• Precedent: This is not the first time Claude has been used in combat. Earlier this year, it reportedly supported operations during the raid to capture Venezuelan President Nicolás Maduro.

Claude features used by the US Military

Based on credible reporting, the U.S. military has been using specific features of Anthropic’s Claude AI during its recent strikes in Iran. These features are not consumer-facing tools like chat assistance, but rather operational capabilities adapted for defense use:

Claude Features in Military Use

• Intelligence Analysis: Claude was tasked with processing large volumes of battlefield and surveillance data to generate actionable insights.
• Target Identification: The AI helped flag potential strike targets by correlating intelligence inputs, satellite imagery, and sensor data.
• Combat Scenario Simulations: Claude ran predictive models to simulate possible outcomes of different strike strategies, giving commanders decision-support in real time.
• Operational Support: Reports suggest it was used to streamline battlefield communications and prioritize mission-critical information. 

These deployments occurred under U.S. Central Command (CENTCOM), despite President Trump’s government-wide ban on Anthropic’s tools. Notably, Claude had previously reported to be used in other operations, such as the raid to capture Venezuelan President Nicolás Maduro earlier this year.

The Pentagon has not disclosed the full technical details, but sources confirm these core functions were central to its role in the Iran strikes.  

Global AI Militarization

Country	Key Military AI Applications	Notable Details
United States	Target recognition, autonomous drones, logistics optimization, cyber defense	Pentagon invests heavily via DARPA and the Joint Artificial Intelligence Center.
China	Surveillance, autonomous weapons, decision-support systems	Central to Beijing’s concept of “intelligentized warfare.”
Israel	Targeting, missile defense, battlefield analytics	AI powers Iron Dome and precision targeting in conflicts.
France	Decision-making support, robotics, cyber operations	Balances scaling AI with ethical frameworks.
India	Surveillance, border security, drone swarms	Experimenting cautiously while engaging in global AI diplomacy.
Russia	Autonomous vehicles, electronic warfare, predictive analytics	Testing AI-driven drones and robotic combat systems.
United Kingdom	Intelligence analysis, logistics, autonomous systems	MOD strategy emphasizes operational efficiency.
Turkey	Drone warfare, surveillance	Bayraktar drones use AI for targeting and navigation.

Ethical and Political Tensions

• Civilian Risk: AI-driven targeting raises fears of misidentification and collateral damage, especially in dense civilian areas.
• Accountability: Who bears responsibility when an AI system contributes to a lethal decision—the developer, the military operator, or the government?
• Policy vs. Practice: Trump’s ban highlights the difficulty of enforcing political directives in real-time military contexts.
• International Law: The use of AI in warfare challenges existing frameworks under the Geneva Conventions, which were not designed for autonomous or semi-autonomous decision-making systems.

The Bigger Picture

The U.S. military’s reliance on Claude illustrates a broader trend: AI is no longer a futuristic concept in warfare—it is here, shaping decisions on the battlefield today. As more nations deploy AI for surveillance, targeting, and cyber defense, the urgency of establishing global norms and ethical guardrails grows stronger.

AI Startup Anthropic Shakes IT Sector, Infosys and Wipro ADRs Drop

American Depositary Receipts (ADRs) of Indian IT majors Infosys and Wipro declined this week after Anthropic, the AI startup backed by Amazon and Google, announced its entry into legal and data services automation.

Infosys ADRs slipped about 3%, while Wipro ADRs fell nearly 5% in U.S. trading. The sell-off extended to other IT consulting firms, with Accenture and Cognizant also registering losses.

Analysts noted that the declines were sharper in companies heavily exposed to legal process outsourcing (LPO) and data management contracts.   

What Happened

• Anthropic launched an AI product that automates contract review and legal briefings, raising investor concerns about disruption in IT services outsourcing.
• Infosys and Wipro ADRs fell 3–5%, extending losses from earlier in the week.
• Other IT consulting firms like Accenture and Cognizant also saw declines, with some data-focused firms dropping 9–10%.

Why It Matters

• Legal and data services are a lucrative segment for IT majors, often tied to long-term enterprise contracts.
• Anthropic’s move signals that AI-first companies are directly entering areas traditionally dominated by Indian IT service providers.
• Investors fear margin compression and reduced demand for human-led outsourcing as automation scales.

Market Context

• The sell-off coincided with broader weakness in the Nasdaq Composite, adding pressure to tech stocks.
• Indian IT equities also reflected overnight ADR declines, though some recovery was noted in domestic trading.

OpenAI, Anthropic, Google, and Microsoft Unite to Set Global Standards for AI Agents

OpenAI, Anthropic, Google, Microsoft, and several other major technology companies have come together under the Linux Foundation to form the Agentic AI Foundation. The goal of this alliance is to establish open, neutral standards for AI agents as they move from research into widespread deployment.

By anchoring projects such as OpenAI’s AGENTS.md, Anthropic’s Model Context Protocol, and Block’s goose framework, the foundation is creating a technical backbone that allows agents to communicate, collaborate, and integrate across different platforms.

This collaboration is significant because it addresses one of the biggest challenges in the emerging agent ecosystem: interoperability. Without shared standards, each company could end up building siloed systems that don’t work well together, leading to fragmentation and vendor lock-in. By agreeing to work within a neutral governance structure, these companies are signaling that they see open standards as essential for trust, scalability, and enterprise adoption.

The impact of this move is twofold. For developers, it means they can build agentic systems that are portable and extensible, without being tied to a single vendor’s ecosystem. For enterprises, it provides a clearer path to deploying agents in production environments with confidence that they will remain compatible as the technology evolves. At the same time, challenges remain, including ensuring broad adoption beyond the founding members, balancing corporate interests within the foundation, and addressing security and privacy concerns that come with standardizing agent protocols.

In essence, this agreement marks a turning point in the evolution of AI: the shift from standalone models and chatbots toward autonomous, interoperable agents that can act across digital infrastructure. By aligning under the Linux Foundation, these companies are laying the groundwork for a shared ecosystem that could define how agentic AI develops in the coming years.

How AGENTS.md, MCP, and goos reshape workflows for developers and enterprises. 

Let’s understand how these standards could reshape workflows for both developers and enterprises in practical terms.

For developers, AGENTS.md provides a lightweight, open format for giving agents project-specific instructions and context. Instead of reinventing how to pass goals or metadata into every agent framework, developers can rely on a shared schema. This means faster prototyping, easier collaboration across teams, and less friction when moving projects between platforms. It’s similar to how README.md became a universal convention in open-source projects — AGENTS.md could become the “instruction manual” for agents.

Anthropic’s Model Context Protocol (MCP) is more ambitious: it defines how agents connect to external tools, APIs, and data sources. In practice, this means developers won’t have to build custom integrations for every model or vendor. An agent built with MCP could plug into a CRM, a database, or a cloud service using standardized connectors. That reduces duplication of effort and makes agents more composable, much like how HTTP standardized communication across the web.

Block’s goose framework adds infrastructure-level support for agent development. It’s designed to give developers scaffolding for building, testing, and deploying agents in production environments. Goose could become the backbone for enterprise workflows, ensuring that agents are not just experimental prototypes but reliable systems that can scale.

For enterprises, these standards collectively lower the barrier to adoption. Compliance teams benefit because open standards make it easier to audit how agents handle data and interact with external systems. Product teams gain flexibility: they can design workflows knowing that agents will remain interoperable across vendors. And IT departments avoid vendor lock-in, since agents built on these standards can migrate between ecosystems without costly rewrites.

The practical impact is that agentic AI moves from being a fragmented, experimental technology into something enterprises can confidently integrate into their operations. Developers get speed and flexibility, enterprises get reliability and compliance, and the broader ecosystem gains a foundation for interoperability.

Anthropic Taps India’s AI Boom: Bengaluru Launch and Reliance Talks Underway

Anthropic is making a major move into India with plans to open its first office in Bengaluru and explore a strategic partnership with Reliance Industries.

Notably, India is already Claude’s second-largest market by traffic and usage. Anthropic is exploring a strategic partnership with Reliance Industries to integrate Claude into the conglomerate’s digital ecosystem.

CEO Dario Amodei is also scheduled to meet senior government officials, including Prime Minister Narendra Modi.

Anthropic's India Expansion

• Bengaluru Office: According to the reports, Anthropic will establish its first India office in Bengaluru, marking its second Asia-Pacific location after Tokyo. The launch is expected to be officially announced this week.
• Focus Areas: The Bengaluru office will target developers, startups, and enterprise clients, supporting AI deployment in sectors like education, healthcare, agriculture, and IT services.
• India's Role: India is now Claude’s second-largest market by traffic and usage, with over 767,000 app downloads and a 572% year-over-year increase in consumer spending.

Partnership with Reliance Industries

• Strategic Talks: CEO Dario Amodei is in India to meet Mukesh Ambani and senior Reliance executives in Mumbai. The goal is to expand Claude AI’s reach through Reliance’s digital ecosystem, including Jio platforms.
• Reliance Intelligence: In August, Reliance launched a new AI division focused on infrastructure and enterprise solutions, already collaborating with Google and Meta.

Government Engagement

• Policy Outreach: Amodei is also meeting top Indian government officials, including a possible meeting with Prime Minister Narendra Modi, signaling long-term ambitions in India’s AI ecosystem.

The news about Anthropic opening its first India office in Bengaluru and exploring a partnership with Reliance Industries was first reported by TechCrunch. Multiple outlets including MSN, India Today, and Livemint cited TechCrunch as the original source of the report.

OpenAI's Rival Anthropic Reaches $1.4 Billion in Annualized Revenue

Anthropic, a major competitor of OpenAI, has achieved an impressive milestone by reaching $1.4 billion in annualized revenue, reported The Information citing a person with direct knowledge of the company’s finances. This marks a significant growth from $1 billion at the end of 2024.

The company has been bolstered by investments from tech giants like Amazon and Google. Anthropic's AI chatbot, Claude, has been a key driver of this revenue growth.

Anthropic's latest financial results show that the company has achieved an annualized revenue of $1.4 billion as of early March 2025. The company recently raised $3.5 billion in a Series E funding round, giving it a post-money valuation of $61.5 billion. This funding will support the development of next-generation AI systems, expand compute capacity, deepen research in mechanistic interpretability and alignment, and accelerate international expansion.

Anthropic's AI chatbot, Claude, has been a key driver of this revenue growth. The company has also introduced new features such as Claude 3.7 Sonnet and Claude Code, which have been well-received in the market.

Anthropic has told investors it plans to generate up to $3.7 billion in revenue for the year and reduce its cash by nearly half this year from $5.6 billion last year.

Notably, while Anthropic's annualized revenue has reached $1.4 billion, OpenAI's annualized revenue is significantly higher at $3.4 billion. This puts OpenAI ahead in terms of revenue, reflecting its broader market reach and product offerings.

Anthropic has set ambitious growth projections for the next few years. The company aims to achieve annualized revenue of $2.2 billion by 2025, with a base projection of $12 billion and an optimistic forecast of up to $34.5 billion by 2027. This growth is driven by strategic partnerships, such as the substantial $4 billion investment from Amazon, and a focus on expanding its market footprint through AI model provisioning and leveraging cloud infrastructure.

Anthropic also plans to achieve cash flow positivity by 2027, significantly reducing its cash burn rate from $5.6 billion in 2024 to an anticipated $3 billion in 2025. These projections highlight the company's commitment to financial efficiency and sustainable growth while scaling its operations.

AWS, Accenture and Anthropic Join Hands To Boost AI Adoption Among Enterprises

AWS (Amazon Web Services), Accenture, and Anthropic have recently announced a partnership to help organizations scale AI responsibly. This collaboration aims to support industries like healthcare, public sector, banking, and insurance in adopting and customizing generative AI technology.

Through this partnership, organizations can access Anthropic’s AI models via Amazon Bedrock, a service that provides high-performing foundation models. Accenture is set to enhance these capabilities with industry-specific solutions, while AWS will offer the infrastructure needed to deploy these models effectively.

This initiative is particularly significant as it combines the technical AI expertise of Anthropic, the industry knowledge of Accenture, and the cloud computing capabilities of AWS. It's designed to speed up innovation, improve customer service, and make workforces more productive, all while ensuring data privacy and security.

Over 1,400 Accenture engineers will be trained as specialists in using Anthropic’s models on AWS, allowing them to provide customers with end-to-end support that accelerates their AI strategies from concept to production. Accenture’s engineers will help organizations use their own data to fine-tune Anthropic’s models on AWS to enhance performance for their use case and industry. Teams across Accenture and AWS will also guide customers on prompt and platform engineering to help them deploy AI models through Amazon Bedrock and Amazon SageMaker.

By combining Anthropic's technical AI expertise, AWS's approach to security and reliability, and Accenture's deep industry knowledge, the companies hope to provide tailored solutions for trust-driven sectors and streamline the adoption of powerful AI systems that put humans at the center.

In addition, organizations will gain access to a broad set of capabilities they need to build generative AI applications with security, privacy and responsible AI.

Teams across Accenture, Anthropic and AWS will also help clients with prompt and platform engineering, providing best practices on how to deploy customized models on Amazon Bedrock or Amazon SageMaker, a fully managed service that brings together a broad set of tools to enable high-performance, low-cost machine learning for any generative AI use case.

Former OpenAI Execs-Founded Anthropic Raises $100 Mn from S. Korea's Largest Telco To Build LLM for Telcos

Anthropic PBC, a US-based artificial intelligence startup and public-benefit corporation, founded by former members of OpenAI, has received investment of $100 million from South Korea's largest Telcom firm SK Telecom.

This follows the previous investment from SK Telecom Venture Capital (SKTVC), the Silicon Valley-based venture capital arm of SK Telecom.

SK Telecom has entered into a partnership agreement with Anthropic to build a large language model (LLM) customized for telcos.

Under the partnership agreement, SK Telecom and Anthropic will jointly develop a multilingual LLM that supports languages, including Korean, English, German, Japanese, Arabic and Spanish.

SK Telecom and Anthropic will work together to bring the multilingual LLM to the Telco AI Platform currently being built by the Global Telco AI Alliance.

In May this year, Anthropic had raised $450 million from investors including Alphabet Inc's Google and Spark Capital. As of July 2023, Anthropic had raised $1.5 billion in Funding.

Founded in 2021 by CEO Dario Amodei and his sister Daniela, former employees of the senior team at OpenAI, Anthropic describes itself as “dedicated to building AI systems that people can rely on and generating research about the opportunities and risks of AI”.

Anthropic differ from OpenAI as — while OpenAI uses reinforcement learning from human feedback (RLHF) to improve safety and reduce harm, Anthropic employs reinforcement learning from AI feedback (RLAIF). The feedback, where one AI model corrects another, is based on a “list of rules or principles,” or what Anthropic calls “Constitutional AI.”