Anthropic valuation hits $9.65T with $650B funding while US savings rate drops to 2.6% low

Anthropic has officially surpassed OpenAI to become the world's most valuable artificial intelligence company following a $650 billion Series H funding round that valued the firm at $9.65 trillion, compared to OpenAI's $8.52 trillion. The investor roster for this landmark round includes major semiconductor and storage giants Samsung, Micron, and SK Hynix, signaling a strategic reversal in supply chain power dynamics where hardware manufacturers are now directly capitalizing on model developers. On the same day as the funding announcement, Anthropic unveiled Claude Opus 4.8, a model featuring Dynamic Workflows capable of orchestrating up to 1000 sub-agents, which pushed the code benchmark score from 64.3% to 69.2%. This aggressive product rollout coincides with a dramatic financial surge; Anthropic's annual recurring revenue has climbed to over $470 billion, up from $300 billion at the start of the year and merely $100 billion by the end of the previous year. Data compiled by Woofun AI shows that the company anticipates a 130% revenue growth trajectory, bringing it close to its first operational profit while Amazon's accumulated $13 billion stake has appreciated to a valuation of approximately $600 billion.

In stark contrast to the booming AI sector, the US consumer economy is showing signs of significant strain as the personal savings rate plummeted to 2.6%, marking the lowest level since June 2022. In April, the Personal Consumption Expenditures (PCE) inflation index rose 3.8% year-over-year, accelerating from March's 3.5% to a three-year high, driven largely by a 12.3% year-over-year surge in gasoline prices. Core PCE inflation also climbed to 3.3%, the highest reading since 2023, while real per capita disposable income declined by 1.4% year-over-year for the second consecutive month. Federal Reserve Governor Lisa Cook explicitly stated that 'inflation is clearly heading in the wrong direction,' citing downstream effects from oil price shocks and lingering tariff impacts. Woofun AI notes that this divergence between rising prices and stagnant incomes suggests consumers are depleting savings, a pattern that historically precedes sharp drops in consumer confidence despite markets currently pricing in a soft landing.

The infrastructure supporting this AI boom is experiencing unprecedented demand, evidenced by Dell's Q1 earnings report which revealed AI server revenue of $16.1 billion, a staggering 757% year-over-year increase. With AI order backlogs totaling $24.4 billion, Dell raised its full-year revenue outlook to $60 billion, triggering a 30% after-hours stock price surge. This data indicates that market sentiment has shifted from debating potential infrastructure overheating to executing massive purchase orders, transforming Dell from a traditional PC and storage vendor into a critical intermediate layer in the AI supply chain. While NVIDIA dominates chip sales, Dell's system integration capabilities allow it to capture significant profits by converting raw silicon into deployable server clusters, with AI servers now accounting for more than a third of its total revenue.

Geopolitical tensions remain a volatile variable as the US and Iran agreed on a framework for a 60-day Memorandum of Understanding requiring Iran to halt nuclear weapons pursuit, pause uranium enrichment, remove high-enriched uranium stockpiles, and clear mines in the Strait of Hormuz within 30 days. In exchange, the US agreed to negotiate lifting sanctions and unfreezing Iranian funds, though actual execution awaits a final agreement. Despite the framework, market optimism has waned as traders recognize that neither Donald Trump nor Ayatollah Khamenei has signed the document. Woofun AI analysis suggests that deep-rooted mistrust, stemming from the 2018 US withdrawal from the JCPOA, remains a core obstacle, forcing markets to reprice the probability of the MOU failing to transition from a framework to a binding treaty.

The tangible impact of AI on employment is moving beyond theoretical predictions to concrete corporate actions, exemplified by Wix laying off approximately 1,000 employees, or 20% of its workforce, citing AI-driven productivity gains and currency pressures. This follows a 27% drop in Wix's stock price after a disappointing earnings report, while Morgan Stanley simultaneously predicted a 20% job cut in the European banking sector due to AI adoption. Conversely, Costco's CEO emphasized that AI is intended to enhance rather than replace retail jobs, highlighting a clear bifurcation in the labor market. Technology-intensive sectors like website development and back-office finance face immediate replacement pressure because their workflows are structured and easily modeled, whereas offline service industries remain temporarily insulated due to high deployment costs.

Regulatory and competitive landscapes are also shifting rapidly as Mistral held its first developer conference to launch Le Chat, marking Europe's largest AI unicorn's pivot from an API provider to a direct consumer competitor against ChatGPT and Claude.

Concurrently, Illinois passed the first comprehensive state-level AI security law in the US, breaking a federal legislative deadlock and potentially opening the door for similar state-level regulations after California vetoed a similar bill last year.

Meanwhile, Waymo's deployment of self-driving taxis manufactured by Chinese firm Geely in Ojai, California, has sparked a debate over technological sovereignty, questioning whether it lies in the American algorithm or the Chinese hardware. Further complicating the hardware supply chain, Supermicro was implicated in a smuggling case involving servers shipped from Taiwan to China, illustrating how high demand is driving gray market activities to bypass export controls.

The survival strategies for AI chip startups are being rewritten as Groq transitions from a self-developed LPU chip manufacturer to an AI cloud service provider, selling inference services when the hardware narrative alone proves insufficient.

This shift underscores a new industry rule: while companies can skip chip manufacturing, they must ultimately sell computing power to remain viable. As the sector matures, the convergence of massive capital inflows, regulatory fragmentation, and tangible labor displacement suggests a period of intense consolidation and structural realignment where only those integrating hardware, software, and services effectively will sustain long-term growth.