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OpenAI Reportedly Agrees to Cap Revenue Sharing with Microsoft at $38bn

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OpenAI has reportedly agreed to cap the total revenue it shares with Microsoft at $38 billion, a significant development that marks how the balance of power inside one of Silicon Valley’s most consequential partnerships is beginning to evolve as the artificial intelligence industry enters a new phase.

According to a report by The Information, the arrangement emerged from a renegotiated agreement between the two companies last month that gives OpenAI greater flexibility to pursue infrastructure and commercial partnerships with other major technology firms, including Amazon and Google.

The move signals that OpenAI is increasingly positioning itself less as a tightly aligned Microsoft partner and more as an independent AI platform company seeking broader control over its future economics, infrastructure, and strategic relationships. The reported cap could also become central to OpenAI’s preparations for a potential public offering, which some executives reportedly believe could happen as early as the end of this year.

Some analysts believe that limiting Microsoft’s long-term revenue participation could materially improve OpenAI’s valuation outlook by increasing the amount of future cash flow retained within the company itself.

The shift, among other things, reflects the extraordinary speed at which the AI industry is maturing. What began in 2019 as a rescue-style investment by Microsoft into a relatively small research lab has evolved into one of the most powerful alliances in modern technology. Microsoft’s more than $13 billion investment helped finance the massive computing infrastructure needed to train OpenAI’s large language models while also transforming Microsoft into one of the biggest beneficiaries of the AI boom through its Azure cloud business and Copilot software suite.

But the relationship has become increasingly complex as OpenAI’s influence and market value have exploded. Earlier this year, OpenAI reportedly reached a valuation of roughly $852 billion, placing it among the world’s most valuable private technology firms and dramatically shifting negotiating leverage between the two companies.

OpenAI Seeks More Independence As AI Infrastructure Race Intensifies

The revised arrangement comes at a critical moment in the global AI infrastructure race, where access to computing power, data centers, and semiconductor supply chains has become as strategically important as software itself. OpenAI’s ability to work more freely with Amazon and Google reflects growing recognition that no single cloud provider may be able to satisfy the staggering computational demands created by next-generation AI systems.

The industry is already facing severe capacity constraints. Executives across the sector, including Dario Amodei of Anthropic, have warned that AI demand is growing faster than companies can build infrastructure.

Amodei recently disclosed that Anthropic’s usage and revenue surged 80-fold in the first quarter on an annualized basis, straining available compute capacity and forcing the company into multibillion-dollar infrastructure agreements with partners including Amazon and SpaceX.

OpenAI faces similar pressures.

As AI models become larger and more capable, companies increasingly require enormous amounts of graphics processing units, power generation, networking equipment, and specialized data centers. That has transformed the sector into a global industrial race involving cloud providers, semiconductor firms, utilities, and governments.

The revised Microsoft agreement appears designed partly to ensure OpenAI is not operationally constrained by overdependence on one infrastructure partner. At the same time, Microsoft is also recalibrating its own AI strategy. While the company remains OpenAI’s largest partner, Microsoft has increasingly diversified its AI portfolio, developing more in-house models and expanding relationships with other AI companies to reduce reliance on OpenAI alone.

The result is a partnership that remains deeply intertwined but is becoming structurally more independent on both sides.

Pressure Mounts from Rivals and Regulators

The development also comes amid intensifying competitive pressure across the AI sector. OpenAI’s early dominance following the launch of ChatGPT is increasingly being challenged by rivals, including Anthropic, Google, Elon Musk’s xAI, and Chinese AI firms advancing rapidly despite U.S. export restrictions. The competition is happening as investors become more focused on sustainable monetization rather than experimental expansion.

OpenAI has reportedly scaled back or shut down several side projects in recent months, including efforts tied to Sora, while concentrating resources around core commercial products such as ChatGPT and Codex. That tightening of focus suggests the company is moving from a hypergrowth research phase toward a more disciplined operational structure consistent with eventual public market scrutiny.

The company also continues to face legal and governance pressures. Elon Musk, one of OpenAI’s original co-founders, filed a lawsuit in 2024 alleging that CEO Sam Altman and President Greg Brockman abandoned the organization’s original nonprofit mission.

Musk is seeking $150 billion in damages and is asking the court to remove both executives from leadership positions. The lawsuit has intensified scrutiny over OpenAI’s unusual hybrid structure, where a nonprofit entity oversees a massively valuable for-profit business increasingly competing at the center of the global technology industry.

In practical terms, the renegotiation between Microsoft and OpenAI is believed to be a pointer that the AI boom is beginning to reshape the traditional balance between startups and Big Tech incumbents. In previous technology cycles, younger firms often remained dependent on larger platforms for distribution, infrastructure, and capital. In AI, however, companies like OpenAI have become powerful enough to renegotiate relationships with the world’s largest technology firms while simultaneously preparing for independent public-market futures.

OpenAI’s Move into Deployment Services Demonstrates AI is Entering a Commercial Stage 

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The rapid commercialization of artificial intelligence has entered a new phase as OpenAI moves beyond building models and into helping enterprises deploy them at scale. In a significant strategic expansion, OpenAI has reportedly created a deployment-focused company designed to assist businesses in integrating AI systems directly into their operations.

The move signals a broader transformation occurring across the technology industry: the race is no longer only about who builds the most advanced AI model, but also about who can successfully embed AI into the real economy. For years, artificial intelligence development was concentrated largely around research labs and infrastructure providers.

Companies competed on benchmark scores, model sizes, and computational power. However, many businesses struggled to convert AI hype into measurable productivity gains. Executives understood that AI could improve efficiency, automate workflows, and reduce operational costs, but implementation remained difficult. Integrating AI into existing enterprise systems often required customized infrastructure, data preparation, cybersecurity safeguards, compliance reviews, employee retraining, and workflow redesigns.

OpenAI’s decision to establish a deployment-oriented business reflects recognition that enterprise adoption is now the critical bottleneck. The strategy mirrors the historical evolution of previous technological revolutions. Cloud computing, for example, initially centered around raw infrastructure before expanding into consulting, migration services, and enterprise transformation.

Companies like Amazon Web Services, Microsoft, and Google eventually realized that many corporations needed hands-on support to modernize their systems. AI is now entering a similar stage. Businesses are no longer simply asking whether AI works; they are asking how to operationalize it safely and profitably.

OpenAI’s deployment initiative could dramatically accelerate enterprise adoption of generative AI tools. Many firms remain hesitant because of concerns around reliability, hallucinations, intellectual property protection, and regulatory compliance. A dedicated deployment company could provide tailored solutions that reduce these risks.

Rather than offering only an API or chatbot subscription, OpenAI could help organizations redesign workflows, fine-tune models on proprietary data, and build internal AI ecosystems optimized for specific industries such as finance, healthcare, logistics, or manufacturing.

Rivals including Microsoft, Google, Anthropic, and Amazon are all pursuing enterprise AI opportunities, but deployment services may become one of the most lucrative segments of the market. Large corporations are willing to spend billions not merely on access to models, but on comprehensive transformation strategies that improve productivity and generate new revenue streams.

The company capable of becoming the AI operating partner for enterprises could secure long-term dominance. This shift also highlights how AI economics are evolving. Training frontier models requires enormous capital expenditures, particularly for GPUs, data centers, and energy infrastructure.

Enterprise deployment offers recurring, high-margin revenue opportunities that go far beyond consumer chatbot subscriptions. By embedding AI deeply into corporate operations, OpenAI can create long-term dependence on its ecosystem, much like enterprise software companies did during earlier technology cycles.

Another important aspect of this development is the growing convergence between consulting and artificial intelligence. Traditional consulting giants such as Accenture, McKinsey & Company, and Deloitte have aggressively expanded their AI advisory businesses because clients increasingly need strategic guidance rather than standalone software.

OpenAI’s deployment company could place the firm into partial competition with these consulting firms, creating a hybrid model that combines advanced AI infrastructure with enterprise transformation services.

The broader economic consequences could be profound. If deployment barriers are reduced, AI adoption may spread much faster across industries. Businesses could automate administrative functions, accelerate software development, improve customer service, optimize supply chains, and enhance decision-making through predictive analytics.

This may boost productivity growth globally at a time when many economies are struggling with slowing labor-force expansion and persistent inflationary pressures. Widespread enterprise AI integration will intensify debates about workforce disruption. As AI systems become embedded into daily operations, companies may reduce reliance on certain categories of white-collar labor.

Tasks involving documentation, analysis, coding, support services, and data processing are increasingly vulnerable to automation. While new jobs may emerge around AI oversight and systems management, the transition could reshape labor markets significantly over the next decade.

OpenAI’s move into deployment services demonstrates that the AI race is entering a more mature commercial stage. Building powerful models remains essential, but real economic value will come from integration, scalability, and execution. The winners of the AI era may not simply be the firms with the smartest algorithms, but the ones capable of transforming entire industries through practical implementation.

Strategy Does not View Bitcoin as a Speculative Tradeable Asset

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Michael Saylor’s latest remarks about Strategy’s Bitcoin policy reinforces a message the company has communicated for years: Bitcoin is not simply a treasury reserve asset for the firm, but the foundation of its long-term corporate strategy.

In a recent statement, Saylor explained that Strategy would aim to buy “10 to 20 Bitcoin for every one they sell,” while CEO Phong Lee clarified that there are only two situations in which the company would consider selling any of its Bitcoin holdings. Together, these comments reveal how deeply committed Strategy remains to Bitcoin accumulation despite growing volatility, regulatory scrutiny, and market skepticism.

Strategy, formerly known as MicroStrategy, has become one of the most recognized corporate holders of Bitcoin in the world. Since the company first began accumulating Bitcoin in 2020, it has transformed from a traditional enterprise software company into what many investors now view as a Bitcoin proxy.

The company’s stock price increasingly moves alongside Bitcoin’s market performance, and its corporate identity has become inseparable from the cryptocurrency itself. Saylor’s statement that the company would buy far more Bitcoin than it would ever sell reflects a philosophy centered on long-term conviction.

Unlike traders seeking short-term gains, Strategy continues to position Bitcoin as a superior store of value compared to fiat currencies and traditional reserve assets. The idea of purchasing 10 to 20 BTC for every single coin sold suggests that any future selling activity would likely be tactical or operational rather than a shift away from the company’s broader accumulation strategy.

Phong Lee’s comments added more clarity to that position by outlining the only two scenarios in which Strategy would sell Bitcoin. The first would involve a major strategic corporate necessity, such as preserving the health of the company during an extreme financial event. The second would involve opportunities where selling a small portion of Bitcoin could create significantly greater shareholder value.

These conditions suggest that Strategy does not view Bitcoin as a speculative tradeable asset but rather as a core balance sheet reserve that should only be touched under exceptional circumstances. This approach stands in sharp contrast to many institutional investors that frequently rebalance portfolios or reduce exposure during market downturns. Strategy instead appears committed to aggressive accumulation during both bullish and bearish cycles.

That strategy has earned both praise and criticism. Supporters argue that the company has become one of the boldest examples of corporate conviction in financial history. Critics, however, warn that such concentrated exposure to Bitcoin introduces major risks if the cryptocurrency experiences prolonged declines or regulatory disruptions.

Saylor and Lee appear unfazed by those concerns. Their public messaging continues to emphasize Bitcoin’s scarcity, decentralization, and long-term appreciation potential. For them, short-term volatility is secondary to what they see as the inevitable monetization of Bitcoin on a global scale. The broader market is closely watching Strategy because its actions often symbolize institutional confidence in Bitcoin. When the company buys more BTC, it sends a signal that large-scale corporate adoption is still alive.

Conversely, any significant selling could trigger fear across crypto markets. By stating that sales would remain rare and limited, Strategy is attempting to reassure investors that its long-term thesis remains unchanged.

Saylor’s vision reflects unwavering belief in Bitcoin’s future. Whether history proves that strategy correct or excessively risky, Strategy has undeniably become one of the most influential corporate players in the evolution of digital assets.

Hyperliquid Paid Annualized Fees as High as 8,700% to Maintain Leveraged Synthetic Positions

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The explosive intersection of artificial intelligence and cryptocurrency speculation reached a new extreme when traders on the decentralized exchange Hyperliquid paid annualized fees as high as 8,700% to maintain leveraged synthetic positions tied to the valuation of AI startup Anthropic.

The phenomenon reflects the growing appetite for AI-linked financial exposure, even when the underlying company remains private and inaccessible to ordinary investors. Anthropic, one of the world’s leading artificial intelligence firms and a major competitor to OpenAI, has become one of the most sought-after private investments in global technology markets.

Backed by major corporations including Amazon and Google, the company has benefited enormously from the AI boom sparked by large language models and enterprise AI adoption. Because Anthropic shares are not publicly traded, retail traders have limited opportunities to speculate on its valuation directly. Crypto markets, however, are increasingly creating synthetic instruments that mimic exposure to private assets.

Hyperliquid allowed traders to take leveraged long positions tied to Anthropic’s implied market value through perpetual futures-like products. These positions were synthetic because traders did not own actual equity in Anthropic. Instead, they were effectively betting that the company’s valuation would continue climbing as enthusiasm surrounding artificial intelligence accelerated across financial markets.

What made the event remarkable was the staggering funding rate traders were willing to pay to stay in those positions. In perpetual derivatives markets, funding fees are designed to balance long and short interest.

When demand for long positions becomes overwhelmingly dominant, traders betting upward must pay shorts to keep the market balanced. In this case, bullish sentiment became so intense that annualized funding rates reportedly surged to 8,700%. Such numbers would normally be viewed as irrational or unsustainable in traditional finance.

Yet in crypto markets, where speculation frequently overrides conventional valuation models, traders appeared willing to absorb extraordinary costs for continued exposure to the AI narrative. Many participants likely believed that rapid growth in AI infrastructure spending, enterprise adoption, and future fundraising rounds could push Anthropic’s valuation significantly higher despite already lofty expectations.

The situation also demonstrates how crypto trading infrastructure is evolving beyond digital assets themselves. Exchanges are increasingly becoming speculative venues for broader technological trends, including AI, compute infrastructure, and tokenized equities. In many ways, Hyperliquid’s Anthropic market resembled a prediction market for the future of artificial intelligence rather than a conventional crypto trade.

However, the risks associated with such speculative behavior are enormous. Paying annualized fees of 8,700% creates extreme pressure for rapid price appreciation merely to break even. If market momentum slows or sentiment shifts, leveraged traders can face cascading liquidations and substantial losses. Crypto markets have repeatedly shown how quickly speculative manias can reverse, especially when leverage becomes excessive.

The episode highlights a larger transformation underway in global finance. Investors are no longer separating crypto, AI, and venture capital into distinct categories. Instead, markets are increasingly blending them into a single speculative ecosystem centered on technological disruption and future growth narratives. Synthetic exposure to private companies may become more common as traders seek alternatives to traditional equity markets.

The Hyperliquid-Anthropic frenzy illustrates both the innovation and the instability of modern digital finance. It reveals a market environment where access, leverage, and narrative momentum can drive traders to extraordinary extremes in pursuit of the next technological revolution.

Crypto.com Receiving an SVF License from the UAE Central Bank Represents Major Height in Crypto Adoption

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The rapid convergence of cryptocurrency and traditional finance has entered a new phase, and the United Arab Emirates is positioning itself at the center of that transformation.

In a significant development for the global digital asset industry, Crypto.com announced that its UAE entity, Foris DAX Middle East FZE, has secured a Stored Value Facilities (SVF) license from the Central Bank of the United Arab Emirates. The approval represents more than a regulatory milestone for the exchange; it signals the UAE’s broader ambition to integrate blockchain technology and digital payments into government and commercial infrastructure.

The SVF license allows Crypto.com to provide regulated payment and stored-value services within the UAE. In practical terms, this means the company can facilitate digital payment solutions that may eventually support government-related transactions, consumer payments, and broader fintech services. Stored value systems are essential components of modern digital economies because they enable users to preload funds into wallets or digital accounts for seamless transactions.

By granting such a license, the UAE central bank is demonstrating confidence in Crypto.com’s compliance, operational standards, and financial safeguards. This development is especially important because governments worldwide remain cautious about cryptocurrency platforms.

Concerns surrounding money laundering, cybersecurity, fraud prevention, and financial stability have led many jurisdictions to impose strict oversight on digital asset firms. The UAE, however, has chosen a more balanced approach. Instead of resisting innovation, regulators in the country have built a framework that encourages responsible growth while maintaining financial supervision.

Dubai and Abu Dhabi, in particular, have become major hubs for blockchain startups, crypto exchanges, and Web3 innovation.

For Crypto.com, obtaining the SVF license strengthens its strategic position in the Middle East. The company has spent the past several years expanding aggressively across regulated markets, seeking licenses in Europe, Asia, and the Americas.

Securing approval from the UAE central bank enhances the exchange’s credibility and gives it access to one of the world’s fastest-growing digital finance ecosystems. The Gulf region has emerged as an attractive destination for crypto firms due to its tech-friendly policies, strong capital markets, and increasing demand for digital financial services.

The timing is also notable. Governments globally are exploring how blockchain-based systems can improve payment efficiency, transparency, and financial inclusion. Digital wallets and tokenized payments have the potential to reduce transaction costs and modernize public-sector financial operations. If Crypto.com successfully integrates its technology into government payment channels, it could pave the way for broader adoption of regulated crypto infrastructure across the Middle East.

Furthermore, the UAE’s openness to digital finance aligns with its long-term economic diversification strategy. As the country seeks to reduce dependence on oil revenues, it has invested heavily in technology, artificial intelligence, fintech, and digital assets. Regulatory approvals such as this one reinforce the UAE’s reputation as a forward-looking financial center competing with global hubs like Singapore, London, and Hong Kong.

Crypto.com receiving an SVF license from the UAE central bank represents a major step toward mainstream crypto adoption. It highlights the growing acceptance of digital asset infrastructure within regulated financial systems and demonstrates how governments and crypto companies can collaborate under clear legal frameworks.