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.
A turbulent week in the U.S. Treasury market prompted the Treasury Department to sharply increase the size of its long-term debt buyback program, as bond prices fell even while equity markets pushed toward record highs. The divergence has drawn attention from fixed-income strategists who see it as a signal of underlying investor unease about federal borrowing levels.
What Happened This Week
U.S. Treasury Secretary Scott Bessent told CNBC on Thursday, August 20, 2026, that the Treasury had doubled the size of its long-term debt buyback operations, moving from roughly $2 billion to at least $4 billion per operation. Bessent indicated the figure could climb further, saying “we’re going to increase the size of the buyback,” and noted the accelerated pace could exceed the announced $4 billion threshold per issue.
Buybacks allow the Treasury to repurchase outstanding government bonds directly from the market, which can help support prices and dampen yield volatility during periods of stress. The expanded program came as stocks staged a late-week recovery: the S&P 500 and Russell 2000 both advanced on Friday, August 21, even as Treasuries logged mild losses, according to Bloomberg market data.
Why Bond and Equity Markets Are Diverging
Capital.com senior market analyst Daniela Hathorn described the week’s dynamic as markets “ending the week on a softer tone after the relative calm of early August was disrupted by renewed pressure in global bond markets, another rise in oil prices, and growing uncertainty around the Federal Reserve’s next move.” She noted that higher long-term borrowing costs are increasingly challenging elevated equity valuations, even as U.S. equities pull back modestly from record highs.
This divergence — equities near record levels while bonds sell off is unusual and reflects two different sets of investor concerns. Equity investors have remained focused on corporate earnings strength, particularly from large technology companies ahead of Nvidia’s closely watched August 26 earnings report. Bond investors, by contrast, are more directly exposed to concerns about the scale of federal borrowing, highlighted this week by the national debt crossing the $40 trillion threshold for the first time.
The Fed and Treasury “Working in Opposite Directions”
Wilmington Trust senior bond portfolio manager Wil Stith told Yahoo Finance that current conditions reflect “the Fed and the Treasury basically working in sort of opposite directions,” adding that the imbalance will likely require the Federal Reserve which he described as having “the larger sandbox” to adjust the federal funds rate rather than relying on Treasury market interventions alone to manage yields.
Notably, the bond market’s reaction to the Treasury’s buyback expansion was relatively muted; strategists described the move as being largely absorbed without a major rally, suggesting the underlying pressure on yields stems from factors, such as inflation persistence and debt sustainability concerns, that a buyback program alone cannot resolve.
What Comes Next
Markets are now looking to two major events in the days ahead: Nvidia’s earnings report on Wednesday, August 26, and the Federal Reserve’s Jackson Hole Economic Symposium, running August 27-29. This will be the first Jackson Hole gathering under new Fed Chair Kevin Warsh, whose public communication style and policy signals remain less established than his predecessors’, according to market commentary from Regards of Wall Street.
For investors, the key metrics to watch are the size and frequency of future Treasury buyback operations, movements in the 10-year Treasury yield, and any policy signals from Warsh’s keynote address. Continued yield volatility alongside record equity valuations would suggest the market imbalance identified this week has not yet been resolved.
The global banking system is undergoing a comprehensive modernization of cross-border payment infrastructure. Driven by real-time settlement networks, open banking APIs, and interoperable messaging standards, financial institutions and multinational corporations are eliminating multi-day delays and reducing transaction costs associated with legacy international wire transfers.
Transition to Real-Time Gross Settlement Networks
Historically, international business-to-business (B2B) payments relied on complex correspondent banking relationships involving intermediary fees and processing delays. In 2026, the widespread adoption of ISO 20022 messaging protocols alongside interconnected Real-Time Gross Settlement (RTGS) systems allows direct, end-to-end processing of cross-border transfers.
Commercial banks are providing corporate clients with continuous, 24/7 payment clearing capabilities. Real-time transaction confirmation and automated FX rate locking allow international businesses to settle cross-border trade obligations within minutes, significantly reducing counterparty risk.
Central Bank Digital Currency (CBDC) Interoperability
Wholesale Central Bank Digital Currency (CBDC) pilot initiatives are reaching operational maturity across several key financial centers. Collaborative multi-CBDC platforms enable participating central banks and commercial institutions to settle foreign exchange and international trade transactions directly on shared distributed ledgers.
These wholesale digital currency networks eliminate traditional clearinghouse delays and minimize foreign exchange slippage. Enterprise treasury departments benefit from enhanced liquidity management, as cross-border cash balances can be deployed and repatriated instantaneously.
Corporate Treasury Transformation
For enterprise treasurers, instant cross-border settlement transforms cash management strategies:
– Working Capital Optimization: Reduced transaction float allows companies to lower precautionary cash reserves and optimize short-term liquidity investments.
– Automated Reconciliation: Enriched data formats embedded in ISO 20022 payment messages streamline automated general ledger posting and invoice matching.
– Reduced Processing Overhead: Account-to-account (A2A) real-time clearing bypasses costly intermediary correspondent banking fees.
Strategic Financial Priorities
1. Upgrade Treasury Systems: Ensure internal core enterprise software supports real-time ISO 20022 payment messaging standards.
2. Leverage Instant Clearing Rails: Utilize direct payment networks to lower cross-border transaction fees and eliminate settlement delays.
3. Evaluate Multi-Currency Liquidity: Modernize liquidity management frameworks to capitalize on 24/7 real-time settlement capabilities.
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.