NVIDIA Hits Record $81.6B Revenue, Trump Scraps AI Executive Order, Anthropic Projects $10.9B Quarterly Revenue — AI News Briefing

🗞️ AI News Briefing — May 22, 2026 (18:00 CST)

Top 7 Stories

1. NVIDIA Reports Record Q1 Revenue of $81.6 Billion, Announces $80 Billion Share Buyback

NVIDIA delivered blockbuster Q1 FY2027 results that shattered Wall Street expectations, posting record revenue of $81.6 billion and a profit of $58.3 billion. The results represent a staggering acceleration in the AI infrastructure buildout, with data center revenue alone driving the vast majority of growth. The company also announced an $80 billion addition to its share repurchase program and raised its quarterly dividend to $0.25 per share, signaling management’s confidence in sustained demand.

Despite the headline-beating numbers, NVIDIA shares pulled back after earnings — a recurring pattern in recent quarters where even exceptional results struggle to move a stock that has already priced in enormous growth. Bank of America encouraged investors to “buy the dip,” while Morningstar characterized the stock as undervalued relative to the massive AI adoption cycle still underway. Analysts noted that while the year-over-year growth rate is naturally slowing from the astronomical percentages of 2024-2025, the absolute dollar increase in revenue remains historically significant.

The broader implication of NVIDIA’s results extends far beyond a single company’s performance. The $81.6 billion quarterly revenue figure represents a tangible measure of how much capital is flowing into AI infrastructure globally — and it continues to accelerate. Major cloud providers, sovereign AI initiatives, and enterprise deployments are all feeding demand for NVIDIA’s GPU architectures. The earnings report also provided context for the AI industry’s capital expenditure trajectory: if NVIDIA is selling $81.6 billion worth of chips in a single quarter, the total AI infrastructure spend across the ecosystem is many times larger when you factor in networking, power, cooling, data center construction, and related equipment.

2. Trump Abruptly Scraps Planned AI Executive Order, Citing China Competition Concerns

In a dramatic reversal, President Trump abruptly canceled the signing of a landmark AI executive order that had been expected as early as Thursday. The order, which would have established federal oversight mechanisms for AI model development and deployment, was scrapped over concerns that it could weaken America’s competitive edge against China in the AI race. NBC News, AP News, and Reuters all confirmed the cancellation, with Politico reporting that Trump told advisers he “didn’t like certain aspects” of the order.

The reversal has sent shockwaves through the AI policy community. The order had been in development for months, with industry stakeholders and policy experts engaged in extensive negotiations over its provisions. Sources told the AP that Trump was concerned the order’s regulatory requirements — particularly around model testing, safety evaluations, and reporting obligations — could slow American AI development while Chinese companies face fewer constraints. South China Morning Post reported that the decision was specifically motivated by fears of ceding ground to China in the industry.

The cancellation creates significant uncertainty for the AI industry, which had been preparing for a more structured regulatory framework. It also sets up a direct contrast with California’s simultaneous action: on the same day Trump scrapped the federal order, Governor Gavin Newsom signed his own executive order preparing California’s workforce for AI disruption. The divergent approaches highlight a growing tension in AI policy between the federal government’s desire to minimize regulatory friction and state-level concerns about workforce impact and consumer protection. Bloomberg Government described the situation as puzzling the tech policy world, particularly given that the order was widely characterized as pro-industry rather than restrictive.

3. California Governor Newsom Signs First-of-Its-Kind AI Workforce Executive Order After Meta Layoffs

California Governor Gavin Newsom signed a groundbreaking executive order directing state agencies to build a framework for responding to potential workforce disruption as AI adoption accelerates. The order, described by the Governor’s office as “first-of-its-kind,” came directly in response to Meta’s announcement that it is cutting 8,000 employees — approximately 10% of its workforce — while simultaneously transferring 7,000 workers into AI-focused roles.

“California has never sat back and watched as the future happened to us — and we won’t start now,” Newsom said in a statement. “As the epicenter of the tech industry, California recognizes our responsibility to ensure workers are prepared for success as AI reshapes the economy.” The order specifically highlighted that women face disproportionate risks of displacement and widening economic inequality as AI evolves. It directs state agencies to modernize workforce training programs, expand pathways into AI-adjacent jobs, and develop a data-driven framework for tracking AI’s impact on California workers and small businesses.

The order is significant both substantively and symbolically. California is home to 33 of the top 50 private AI companies in the world, making it the global center of AI development — and therefore the first jurisdiction where AI-driven workforce disruption is being felt at scale. The order does not impose restrictions on AI development; instead, it focuses on preparing workers and businesses for the transition. Better Markets, a financial reform advocacy group, called the order “a good start” while noting that a data-driven framework focused on jobs and small businesses is the right approach. The order signals that even in the heart of the AI industry, policymakers are preparing for significant labor market upheaval.

4. Anthropic Forecasts $10.9B Q2 Revenue, Poised for First Profitable Quarter

Anthropic is on track to report $10.9 billion in revenue during the second quarter of 2026, according to sources cited by CNBC, which would represent the company’s first quarterly operating profit. The projection marks an extraordinary inflection point for the Claude developer, which has been investing heavily in compute infrastructure, talent acquisition, and model development while operating at a loss since its founding in 2021.

The revenue trajectory is staggering in context. Anthropic’s reported $10.9 billion quarterly revenue would put the company on a $43.6 billion annualized run rate — a level that would make it one of the largest software companies in the world. The WSJ described the growth as “mind-blowing,” noting that it makes Anthropic’s reported bid for a $900 billion valuation in a potential future IPO increasingly plausible. Revenue growth of this magnitude is driven by surging enterprise adoption of Claude models, the recently announced consulting joint venture backed by Anthropic, Blackstone, and Hellman & Friedman, and Anthropic’s $1.25 billion per month compute purchase agreement with xAI.

Anthropic’s path to profitability is particularly noteworthy because it comes while the company is simultaneously making massive investments. Reuters reported that Anthropic has agreed to pay SpaceX $1.25 billion monthly for computing power — a commitment of $15 billion annually that underscores the compute arms race between frontier AI labs. The company’s first profitable quarter would represent a milestone for the AI industry, demonstrating that frontier model development can eventually generate returns that justify the enormous capital investments required. This contrasts with the ongoing losses being reported by many AI companies and raises questions about whether Anthropic’s business model — focused on enterprise API revenue and strategic partnerships — is more sustainable than competitors’ approaches.

5. Google I/O 2026: Gemini Omni Unveiled as Multimodal Creation Engine

At Google I/O 2026, Google DeepMind unveiled Gemini Omni, a new family of AI models designed to “create anything” from multimodal inputs. The model can take images, audio, and text as input and generate video output, representing one of the most ambitious multimodal AI systems released to date. The Verge described Gemini Omni as meant to “create anything,” while TechCrunch characterized it as a system that “turns images, audio, and text into video — and that’s just the start.”

Google’s announcements at I/O extended well beyond Gemini Omni. The company showcased a personal AI assistant coming soon, shifted its search platform toward AI-powered interactions, and announced the Gemini app is becoming more agentic with proactive, 24/7 assistance capabilities. The New York Times reported that Google has changed its search box for the first time in 25 years, powered by AI — a fundamental redesign of how billions of people interact with the internet. Google is also pitching an AI agent ecosystem to consumers, though TechCrunch noted skepticism about whether consumers will actually buy into the vision.

The timing of Google’s I/O announcements is strategically significant. With OpenAI preparing its IPO, NVIDIA reporting record earnings, and Anthropic approaching profitability, Google is demonstrating that its AI investments are yielding tangible products. The Gemini Omni model, in particular, positions Google in the generative video space alongside competitors like OpenAI’s Sora and various startup offerings. Google’s integration of AI across its entire product suite — Search, YouTube, Gemini, and advertising — represents the most comprehensive AI transformation among the major tech companies, affecting billions of users daily.

6. EY and Microsoft Launch $1 Billion Global Initiative to Scale Enterprise AI

Ernst & Young (EY) and Microsoft announced a $1 billion global initiative to help enterprise clients scale AI beyond experimentation and into production-level deployments. The partnership, announced on Microsoft’s official blog and corroborated by AI Business and CPA Practice Advisor, represents one of the largest dedicated enterprise AI transformation commitments to date.

The initiative is designed to address a persistent challenge in the AI industry: while many companies have run successful AI pilots, relatively few have achieved enterprise-wide deployment that generates measurable business value. EY will deploy its consulting workforce of more than 276,000 professionals alongside Microsoft’s Azure AI and Copilot platforms to guide clients through the full AI adoption lifecycle. The $1 billion investment covers joint go-to-market activities, co-developed AI solutions, training programs, and dedicated AI transformation teams across EY’s global practices.

Microsoft’s blog post emphasized that “execution is the new differentiator” in enterprise AI, reflecting the industry’s shift from the experimental phase to the deployment phase. The EY-Microsoft partnership directly competes with the consulting joint venture recently formed by Anthropic, Blackstone, and Hellman & Friedman — which itself made its first acquisition this week by purchasing Fractional AI, an applied AI services company. The emergence of multiple billion-dollar AI consulting initiatives signals that the bottleneck in AI adoption has moved from model capability to implementation expertise, creating a massive opportunity for firms that can bridge the gap between AI technology and business outcomes.

7. Anthropic-Backed AI Consulting JV Makes First Acquisition: Fractional AI

The AI-native enterprise services firm backed by Anthropic, Blackstone, and Hellman & Friedman announced its first acquisition, purchasing Fractional AI — a leading applied AI services company. Business Wire confirmed the deal, which represents the consulting joint venture’s first move to build out its capabilities through acquisition rather than organic hiring.

Fractional AI specializes in applied AI services, helping organizations identify, design, and implement AI solutions across their operations. The acquisition gives the joint venture immediate access to Fractional AI’s client relationships, technical expertise, and project delivery infrastructure. Lowenstein Sandler LLP, which represented Fractional AI in the transaction, described the company as a leader in applied AI services. Bloomberg characterized the acquisition as Anthropic’s consulting venture making its “first acquisition,” signaling the beginning of an aggressive build-out strategy.

The acquisition is significant for several reasons. First, it validates the consulting JV model that Anthropic has pursued as a channel to enterprise customers — rather than relying solely on API sales, Anthropic is building a services business that can implement Claude-based solutions directly in client environments. Second, it positions the JV in direct competition with established consulting giants like Accenture, Deloitte, and McKinsey, all of which are racing to build AI practices. Third, the involvement of Blackstone and Hellman & Friedman as financial backers suggests the JV is being capitalized for a rapid scaling trajectory, potentially through additional acquisitions. The timing — coming just as Anthropic approaches its first profitable quarter — suggests the company is investing its growing revenue into building distribution channels that will sustain long-term growth.

📊 Trend Watch

🔭 What to Watch

• NVIDIA stock reaction and guidance — Despite record results, shares sold off post-earnings; next quarter’s guidance will determine whether the market sees sustained growth or a peak cycle.
• Trump’s revised AI policy approach — After scrapping the planned executive order, the administration will need to articulate an alternative strategy for AI governance and competition with China.
• Meta’s 8,000-layoff execution and California’s response — The first major test of whether a state-level workforce framework can meaningfully address AI-driven displacement at scale.
• Anthropic’s Q2 earnings reveal — If the $10.9B revenue forecast and first profitable quarter materialize, it will reshape the narrative around AI company unit economics.
• OpenAI IPO filing confirmation — The confidential filing expected as early as Friday will set the stage for what could be the largest tech IPO in history, with a valuation exceeding $850 billion.