Amazon is making its largest outside investment in its three-decade history as it looks to gain an edge in the artificial intelligence race.
The tech giant said it will spend another $2.75 billion backing Anthropic, a San Francisco-based startup that’s widely viewed as a front-runner in generative artificial intelligence. Its foundation model and chatbot Claude competes with OpenAI and ChatGPT.
The companies announced an initial $1.25 billion investment in September, and said at the time that Amazon would invest up to $4 billion. Wednesday’s news marks Amazon’s second tranche of that funding.
Amazon will maintain a minority stake in the company and won’t have an Anthropic board seat, the company said. The deal was struck at the AI startup’s last valuation, which was $18.4 billion, according to a source.
Over the past year, Anthropic closed five different funding deals worth about $7.3 billion. The company’s product directly competes with OpenAI’s ChatGPT in both the enterprise and consumer worlds, and it was founded by ex-OpenAI research executives and employees.
News of the Amazon investment comes weeks after Anthropic debuted Claude 3, its newest suite of AI models that it says are its fastest and most powerful yet. The company said the most capable of its new models outperformed OpenAI’s GPT-4 and Google‘s Gemini Ultra on industry benchmark tests, such as undergraduate level knowledge, graduate level reasoning and basic mathematics.
“Generative AI is poised to be the most transformational technology of our time, and we believe our strategic collaboration with Anthropic will further improve our customers’ experiences, and look forward to what’s next,” said Swami Sivasubramanian, vice president of data and AI at AWS cloud provider.
Amazon’s move is the latest in a spending blitz among cloud providers to stay ahead in the AI race. And it’s the second update in a week to Anthropic’s capital structure. Late Friday, bankruptcy filings showed crypto exchange FTX struck a deal with a group of buyers to sell the majority of its stake in Anthropic, confirming a CNBC report from last week.
Read more CNBC reporting on AI
What is generative AI?
The term generative AI entered the mainstream and business vernacular seemingly overnight, and the field has exploded over the past year, with a record $29.1 billion invested across nearly 700 deals in 2023, according to PitchBook. OpenAI’s ChatGPT first showcased the tech’s ability to produce human-like language and creative content in late 2022. Since then, OpenAI has said more than 92% of Fortune 500 companies have adopted the platform, spanning industries such as financial services, legal applications and education.
Cloud providers like Amazon Web Services don’t want to be caught flat-footed.
It’s a symbiotic relationship. As part of the agreement, Anthropic said it will use AWS as its primary cloud provider. It will also use Amazon chips to train, build and deploy its foundation models. Amazon has been designing its own chips that may eventually compete with Nvidia.
Microsoft has been on its own spending spree with a high-profile investment in OpenAI. Microsoft’s OpenAI bet has reportedly jumped to $13 billion as the startup’s valuation has topped $29 billion. Microsoft’s Azure is also OpenAI’s exclusive provider for computing power, which means the startup’s success and new business flows back to Microsoft’s cloud servers.
Google, meanwhile, has also backed Anthropic, with its own deal for Google Cloud. It agreed to invest up to $2 billion in Anthropic, comprising a $500 million cash infusion, with another $1.5 billion to be invested over time. Salesforce is also a backer.
Anthropic’s new model suite, announced earlier this month, marks the first time the company has offered “multimodality,” or adding options like photo and video capabilities to generative AI.
But multimodality, and increasingly complex AI models, also lead to more potential risks. Google recently took its AI image generator, part of its Gemini chatbot, offline after users discovered historical inaccuracies and questionable responses, which circulated widely on social media.
Anthropic’s Claude 3 does not generate images. Instead, it only allows users to upload images and other documents for analysis.
“Of course no model is perfect, and I think that’s a very important thing to say upfront,” Anthropic co-founder Daniela Amodei told CNBC earlier this month. “We’ve tried very diligently to make these models the intersection of as capable and as safe as possible. Of course there are going to be places where the model still makes something up from time to time.”
Amazon’s biggest venture bet before Anthropic was electric vehicle maker Rivian, where it invested more than $1.3 billion. That too, was a strategic partnership.
These partnerships have been picking up in the face of more antitrust scrutiny. A drop in acquisitions by the Magnificent Seven — Amazon, Microsoft, Apple, Nvidia, Alphabet, Meta and Tesla — has been offset by an increase in venture-style investing, according to Pitchbook.
Big Tech’s investments
AI and machine-learning investments from those seven tech companies jumped to $24.6 billion last year, up from $4.4 billion in 2022, according to Pitchbook. At the same time, Big Tech’s M&A deals fell from 40 deals in 2022 to 13 last year.
“There is a sort of paranoia motivation to invest in potential disruptors,” Pitchbook AI analyst Brendan Burke said in an interview. “The other motivation is to increase sales, and to invest in companies that are likely to use the other company’s product — they tend to be partners, more so than competitors.”
Big Tech’s spending spree in AI has come under fire for the seemingly circular nature of these agreements. By investing in AI startups, some observers, including Benchmark’s Bill Gurley, have accused the tech giants of funneling cash back to their cloud businesses, which in turn, may show up as revenue. Gurley described it as a way to “goose your own revenues.”
The U.S. Federal Trade Commission is taking a closer look at these partnerships, including Microsoft’s OpenAI deal and Google and Amazon’s Anthropic investments. What’s sometimes called “round tripping” can be illegal — especially if the aim is to mislead investors. But Amazon has said that this type of venture investing does not constitute round tripping.
FTC Chair Lina Khan announced the inquiry during the agency’s tech summit on AI, describing it as a “market inquiry into the investments and partnerships being formed between AI developers and major cloud service providers.”
Correction: This article has been updated to clarify the deals Anthropic has closed in the past year.
The global private credit market has solidified its role as a fundamental pillar of enterprise finance, expanding rapidly across middle-market lending, asset-backed finance, and infrastructure financing. As non-bank financial institutions capture a larger share of corporate debt origination, global regulatory bodies are increasing oversight to evaluate market transparency and systemic risk interconnections.
Growth Drivers in Direct Lending
Direct lending platforms have continued to attract substantial institutional allocations from pension funds, sovereign wealth entities, and insurance companies seeking attractive risk-adjusted yields. Private debt funds offer corporate borrowers customized financing structures, faster execution timelines, and confidentiality compared to syndicated loan markets.
In 2026, private credit managers are increasingly financing larger corporate transactions, providing multi-billion-dollar credit facilities for buyout deals and corporate restructurings. The flexibility of private debt contracts—featuring unitranche pricing and tailored covenant packages—has made direct lending the preferred capital source for middle-market enterprise sponsors.
Regulatory Scrutiny and Systemic Risk Assessment
The rapid growth of non-bank intermediation has drawn heightened scrutiny from financial regulators in North America and Europe. Because private debt agreements are negotiated privately without public exchange disclosures, central banks are evaluating potential vulnerabilities related to asset valuation consistency and fund liquidity profiles.
Regulatory agencies are introducing guidelines aimed at improving reporting standards for private investment vehicles managing institutional assets. Key focus areas include monitoring leverage ratios within private credit funds and evaluating indirect credit exposures between commercial banking institutions and private debt funds.
Navigating Elevated Refinancing Costs
With benchmark interest rates remaining elevated, private debt borrowers face higher debt service obligations on floating-rate credit facilities. Financial advisory firms report an increase in proactive liability management strategies, including payment-in-kind (PIK) interest options, equity infusions from sponsors, and covenant modifications.
Private credit managers with deep operational capabilities are actively working alongside portfolio companies to optimize working capital and maintain cash flow coverage ratios during periods of higher borrowing costs.
Key Financial Takeaways
1. Mainstream Asset Class: Private credit has expanded beyond niche alternative asset status into a core corporate finance solution.
2. Enhanced Transparency Standards: Regulatory frameworks are evolving toward greater disclosure requirements for private debt managers.
3. Proactive Risk Management: Lenders and sponsors must prioritize debt sustainability and active portfolio monitoring amid high benchmark rates.
The global venture capital (VC) ecosystem is operating under a disciplined investment framework in 2026. Following years of valuation adjustments and shifting liquidity environments, venture capital firms and private equity investors are prioritizing proven unit economics, positive cash flow pathways, and capital efficiency over rapid, unconstrained user acquisition.
The Shift Toward Disciplined Startup Valuations
Early-stage and growth-stage startup valuations have stabilized at sustainable historical averages. Venture capital partners are conducting rigorous due diligence processes before deploying capital, scrutinizing gross margins, customer acquisition costs (CAC), net revenue retention (NRR), and lifetime value (LTV) metrics.
While total capital deployed remains robust, seed and Series A funding rounds are taking longer to finalize. Founders are expected to demonstrate clear product-market fit and defensible intellectual property rather than relying on top-line revenue projections unsupported by strong underlying economics.
M&A Activity and Liquidity Solutions
The market for venture-backed exits is seeing renewed momentum through strategic mergers and acquisitions (M&A) and secondary market liquidity facilities. Established corporate enterprises are acquiring high-performing technology startups to integrate proprietary artificial intelligence models and specialized software solutions into their product ecosystems.
Simultaneously, secondary market transactions have become an essential liquidity mechanism for early employees and institutional investors. Specialized secondary funds are purchasing pre-IPO shares at discounted valuations, providing liquidity opportunities while companies remain private for longer durations.
Sector Allocation: Deep Tech, Clean Energy, and Enterprise Automation
Venture capital investment is heavily concentrated in deep technology and capital-intensive engineering sectors. High-growth investment themes include:
– Next-Generation Semiconductors: Hardware startups designing specialized AI processors and energy-efficient microchip architectures.
– Clean Technology: Battery chemistry innovations, carbon capture solutions, and grid-scale energy storage startups.
– Enterprise Process Automation: Software platforms that automate complex workflows in healthcare, financial services, and industrial logistics.
Key Insights for Entrepreneurs and Investors
1. Prioritize Capital Efficiency: Startups focused on achieving operational profitability receive higher valuation premiums from institutional investors.
2. Strategic Exit Planning: Corporate M&A is serving as a primary exit route for venture-backed startups navigating prolonged IPO windows.
3. Focus on High-Moat Technologies: Deep tech and proprietary software architectures are securing the majority of growth-stage capital allocations.
The infrastructure supporting global commerce is undergoing a major technological upgrade as real-time digital payment rails, cross-border settlement solutions, and Central Bank Digital Currency (CBDC) pilot programs achieve widespread commercial adoption. Financial institutions and fintech developers are reimagining payment processing to eliminate friction, lower transaction fees, and accelerate settlement speed.
Transforming Cross-Border Settlement Infrastructure
For decades, international corporate payments relied on legacy correspondent banking networks characterized by multi-day settlement delays, opaque fee structures, and high foreign exchange markups. In 2026, modern cross-border payment networks are enabling near-instantaneous settlement for international trade transactions.
Financial technology platforms are leveraging distributed ledger technology and real-time gross settlement (RTGS) interconnections to settle transactions in seconds. International trade participants benefit from reduced working capital requirements and minimized foreign exchange volatility risks during cross-border transfers.
Commercial Expansion of Central Bank Digital Currencies
Central banks representing major global economies are advancing CBDC initiatives from research phases into active commercial deployment. Wholesale CBDCs—designed specifically for interbank settlement and financial institution clearing—are demonstrating substantial efficiency gains in domestic and international transactions.
At the retail level, several nations have introduced public digital currency options alongside existing commercial banking networks. These sovereign digital payment channels aim to expand financial inclusion, lower consumer transaction fees, and improve the efficiency of government-to-citizen financial disbursements.
Open Banking and Embedded Finance Ecosystems
Alongside settlement infrastructure upgrades, open banking regulations and embedded finance frameworks are transforming merchant-consumer interactions. Commercial businesses across retail, travel, and business-to-business (B2B) services are integrating seamless payment APIs directly into their customer software interfaces.
Through open banking frameworks, consumers can initiate secure bank-to-bank payments without relying on traditional credit card networks, significantly reducing merchant processing fees. Integrated Buy-Now-Pay-Later (BNPL) options and point-of-sale credit facilities continue to expand, driving higher conversion rates for digital commerce platforms.
Strategic Financial Takeaways
1. Treasury Optimization: Corporate treasurers should leverage instant cross-border payment platforms to minimize liquidity buffers and foreign exchange exposure.
2. CBDC Integration: Financial institutions must prepare internal core banking systems to interface with emerging wholesale CBDC payment rails.
3. Merchant Fee Reduction: Enterprise merchants can lower payment processing overhead by adopting account-to-account (A2A) open banking checkout solutions.
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