China’s independent refiners are continuing to absorb the bulk of Iran’s oil exports, sustaining a shadow trade that has so far proved resilient to fresh U.S. pressure, even as deteriorating refining economics begin to slow the pace of purchases.

The so-called teapot refiners, concentrated in Shandong province, account for roughly 90% of Iran’s crude shipments. Imports surged to a record 1.8 million barrels per day in March, according to Vortexa Analytics, underscoring Beijing’s reliance on discounted—and often rebranded—barrels to feed its sprawling refining system.

Yet beneath the headline volumes, cracks are emerging. Domestic processing margins have collapsed to around minus 530 yuan ($77.50) per metric ton, a one-year low, as state-controlled fuel prices lag the sharp rise in crude costs triggered by the ongoing conflict involving the United States, Israel, and Iran. The squeeze is forcing refiners to reassess buying appetite, even as supply channels remain open.

“The sanctions will complicate refinery operations and may prompt caution among Asian petrochemical buyers, tightening regional supply, but they will not materially shift Chinese refinery buying patterns as long as Iranian supply remains available,” consultancy Energy Aspects said in a note.

That assessment underlines a structural reality: China’s refiners are operating within a policy framework that prioritizes energy security over geopolitical alignment. Earlier this month, Beijing instructed independent refiners to maintain output levels or face penalties, while issuing an additional batch of import quotas. Traders say the move effectively encourages continued purchases of Iranian and Russian crude, both of which are typically priced outside Western benchmark systems.

The more immediate threat to that flow is logistical rather than regulatory. The U.S. blockade on Iranian shipping, which began on April 13, is expected to tighten supply in the coming months if sustained. While current deliveries continue to arrive, often via complex routing and ship-to-ship transfers, the lag effect of disrupted loading and transit could begin to constrain availability by mid-year.

Recent tanker activity highlights the persistence of these supply chains. Aframax tanker Tianma discharged cargo at Dongying over the weekend, while VLCC GRACEP delivered crude to Qingdao. Data from Kpler shows the VLCC Hauncayo arriving in Yantai carrying 2 million barrels of Iranian oil, after multiple transfers designed to obscure origin. Several additional cargoes are scheduled to reach Shandong in the coming days.

This system, often described as a “shadow fleet” network, has grown more sophisticated. Tankers routinely operate under false identities, cargoes are relabelled as Malaysian or Indonesian crude, and transactions are settled in yuan through layers of intermediaries. The result is a parallel oil market that functions largely outside the reach of conventional sanctions enforcement.

But pricing dynamics are shifting. Iranian Light crude, once sold at a discount, is now trading at parity or even a slight premium to ICE Brent on an ex-storage basis. That reversal points to tighter supply conditions and rising geopolitical risk, but it also erodes one of the key incentives for Chinese refiners: cost advantage.

At the same time, the global oil market is undergoing a broader realignment. The war has pushed Brent crude above $110 per barrel, as disruptions in the Strait of Hormuz, through which roughly 20% of global oil flows, force traders to reprice supply risk. The United States’ blockade of Iranian ports and Iran’s countermeasures have effectively tightened available supply, even as demand faces pressure from slowing global growth.

For China, this creates a dual challenge. The Asian giant must secure sufficient crude to sustain industrial output and economic recovery. This, amid rising input costs, is compressing refining margins and threatening profitability across the downstream sector.

Inventories may offer a temporary buffer. Kpler estimates that around 155 million barrels of Iranian oil are currently in transit outside the U.S. blockade zone, while Vortexa puts the figure at no less than 140 million barrels—enough to cover more than two months of Chinese demand at current import rates. But this cushion is finite, and its depletion would expose refiners more directly to supply disruptions.

Washington’s strategy, meanwhile, appears to be shifting toward targeted enforcement. The recent sanctioning of Hengli Petrochemical, one of China’s largest independent refiners, signals a willingness to escalate pressure on key nodes within the supply chain. Hengli has denied purchasing Iranian crude, but the move introduces additional compliance risk for other buyers.

Still, Beijing has maintained a consistent stance, defending its trade with Iran as legitimate and opposing what it describes as unilateral sanctions. In practice, that position reflects a broader geopolitical calculus: securing energy flows while resisting external constraints on its import strategy.

The result is a fragile equilibrium. Chinese refiners continue to draw heavily on Iranian crude, sustaining Tehran’s export lifeline, even as margins deteriorate and logistical risks mount. The longer the blockade persists, the more likely it is that physical constraints, not policy decisions, will dictate the next phase of trade.

Currently, the market remains in a holding pattern. Supply continues to move, albeit through increasingly opaque channels. Demand remains structurally intact, but economically strained.

At a moment of leadership transition and elevated market uncertainty, Berkshire Hathaway’s enormous liquidity is emerging as both a safeguard and a point of strategic tension. With Greg Abel now responsible for overseeing roughly $373 billion in cash and short-term investments, investors are beginning to reassess whether the conglomerate’s long-standing patience can be sustained without Warren Buffett at the helm.

Veteran investor Tom Russo argues that the debate itself is misplaced. The persistent question from shareholders, he noted — “Why can’t we get rid of that damn money?” — overlooks a core principle of Berkshire’s operating model.

“They need to remember that Berkshire’s cash and Treasury bills are assets, not liabilities,” Russo said, stressing that “the value of that money actually isn’t fixed. It goes up when market mayhem drives prices down.”

Berkshire’s most profitable deals have historically been executed during periods of financial distress, when liquidity dries up, and counterparties accept punitive terms, alluding to the observation. In effect, the company functions as a lender and acquirer of last resort when traditional capital retreats. Russo expects that dynamic to re-emerge in any future downturn, noting that in a crisis there would again be “only one place to go, and the terms will be rather demanding.”

What has changed is the backdrop. Unlike the post-2008 period, today’s environment is shaped by structurally higher interest rates, persistent geopolitical risks, and a surge in capital chasing large-scale assets. Private equity firms, sovereign wealth funds, and even tech giants now compete aggressively for deals that once fell squarely within Berkshire’s domain. This competition has inflated valuations and narrowed the margin of safety that Buffett treated as non-negotiable.

As a result, Berkshire’s growing cash pile may reflect discipline rather than inactivity. Yet the scale of that reserve also creates pressure. Idle capital, even when parked in Treasurys, raises questions about opportunity cost, particularly when equity markets continue to deliver returns. The tension is likely to define Abel’s early tenure: whether to wait for dislocations or deploy capital in a market that rarely offers clear bargains.

Complicating that calculus is a shift in leadership style. Abel is widely seen as more operationally engaged than Buffett, whose management philosophy, developed alongside Charlie Munger, emphasized decentralization and minimal interference. Buffett’s approach allowed subsidiary leaders broad autonomy, stepping in only when necessary and using a disciplined, question-driven method to guide decisions.

Russo described that dynamic in practical terms. “You have the world’s greatest consulting firm, which is Warren’s brain, available to you,” he said.

When issues arose, Buffett would intervene selectively, often flying executives to Omaha aboard “The Indefensible,” his private jet. Through a series of probing questions, managers would arrive at their own conclusions. The outcome, Russo noted, was that “the manager would know the right answer ‘by the end of the second question’,” and crucially, would take ownership of that decision.

This system was backed by carefully designed incentive structures that aligned subsidiary performance with long-term value creation. It also freed Buffett to concentrate on capital allocation, the area where Berkshire has historically generated its outsized returns.

Abel’s challenge is to preserve those institutional advantages while navigating a more complex economic landscape. A more hands-on approach could improve coordination across Berkshire’s diverse businesses, particularly as industries face disruption from artificial intelligence, energy transitions, and shifting supply chains. However, it also risks diluting the autonomy that has been central to the company’s culture.

The stakes are especially high in acquisitions. Berkshire’s appeal to founders has long rested on its reputation as a permanent owner that avoids heavy-handed oversight. Russo warned that early missteps could undermine that perception. Abel should be “very careful” to ensure that future deals “do not implicate or in any way disrupt the virtues that have long guided Berkshire,” he said, calling the transition “a balancing act.”

There is also a structural constraint that cannot be ignored: Berkshire’s sheer size. Deploying tens of billions of dollars in a single transaction requires opportunities of exceptional scale, which are increasingly scarce. This reality may push the company toward alternative uses of capital, including share buybacks or incremental investments, though both options carry their own trade-offs.

Currently, the market appears willing to give Abel time. Berkshire’s fortress balance sheet remains a differentiating asset in an era of rising leverage and financial fragility. But patience, once seen as a defining strength, could come under scrutiny if compelling opportunities fail to materialize.

The upcoming shareholder meeting in Omaha will offer the clearest signal yet of how Abel intends to navigate these crosscurrents. Investors will be listening not just for reassurance, but for evidence that Berkshire’s core philosophy, disciplined capital allocation, operational autonomy, and opportunistic deployment, can endure beyond Buffett.

A quiet policy shift inside Goldman Sachs is drawing attention to a broader recalibration underway across global finance, where the rapid adoption of artificial intelligence is colliding with tightening data controls and geopolitical friction.

The decision marks a deeper shift in how global banks are approaching artificial intelligence, treating it less as a productivity tool and more as regulated infrastructure shaped by jurisdictional risk, contractual boundaries, and geopolitical pressure.

According to a source familiar with the matter, cited by Reuters, Goldman employees in Hong Kong previously accessed Claude via an internal AI platform but have been cut off in recent weeks. Other models, including ChatGPT from OpenAI and Gemini from Google, remain available, indicating the move is targeted rather than a broader pullback from AI adoption.

The immediate rationale appears rooted in compliance interpretation. Anthropic does not officially support Hong Kong as a market for its API or direct product access, and a spokesperson has said Claude models were never formally “supported” in the territory. Goldman’s restriction suggests the bank has opted for a stricter reading of usage rights, likely after internal or external review, rather than risking exposure in a legally ambiguous environment.

That caution is increasingly typical across the financial sector. AI systems process sensitive internal data, client information, and market insights, making questions around data residency, cross-border transfer, and third-party access central to deployment decisions. In jurisdictions like Hong Kong, where regulatory oversight intersects with both Western and Chinese frameworks, those questions carry additional weight.

It is particularly noteworthy as it comes when tensions between the United States and China over artificial intelligence have intensified, with Washington raising concerns about intellectual property risks and tightening controls on advanced technology flows. These issues are expected to feature prominently in discussions between Donald Trump and Xi Jinping at an upcoming summit in Beijing. Within that context, corporate decisions on AI access are increasingly being shaped by geopolitical considerations rather than purely commercial ones.

For banks, the implications are operational as well as strategic. Hong Kong has historically served as a critical hub for Asia-Pacific operations, offering access to global markets alongside proximity to mainland China. However, as AI models become more tightly controlled by their developers, the city is emerging as a grey zone where access cannot be assumed. Goldman’s move signals that institutions may begin to segment their AI capabilities by region, creating uneven deployment across global teams.

Regulatory scrutiny is adding another layer. The Hong Kong Monetary Authority said it has contacted major banks to assess developments around Anthropic’s newer models, including Mythos, and to ensure risk frameworks are updated. This reflects growing concern that advanced AI, particularly systems capable of autonomous or semi-autonomous decision-making, could introduce systemic risks if not properly governed.

Those concerns extend beyond data security as AI models embedded in banking workflows could influence trading strategies, compliance checks, or client advisory processes. Any lack of transparency in how those models operate, or uncertainty about where data is processed, raises the risk of regulatory breaches and reputational damage. For institutions like Goldman, the cost of misalignment can far outweigh the productivity gains from broader access.

At the same time, the selective nature of the restriction points to a more nuanced trend. Banks are not retreating from AI; they are diversifying and hedging. By maintaining access to multiple providers, Goldman reduces dependency on any single model while preserving flexibility to adapt as regulatory conditions evolve. This multi-model approach is becoming standard among large enterprises navigating a fragmented AI landscape.

The development, however, tells a story of a constraint that extends beyond technology for Anthropic. While the company has gained traction with its emphasis on safety and enterprise use, limited geographic availability could slow adoption among multinational clients that require consistent global access. In contrast, competitors with broader deployment frameworks may gain an advantage, even if their models are not uniformly superior.

The broader takeaway is that AI adoption in finance is entering a more disciplined phase. Early experimentation is giving way to structured integration, governed by the same risk frameworks that apply to capital allocation, cybersecurity, and cross-border operations. Decisions like Goldman’s are less about stepping back from innovation and more about aligning it with regulatory reality.

In that sense, the removal of Claude in Hong Kong is a localized action with wider implications. It is seen as an indication that the global rollout of AI will not be seamless, but shaped by a patchwork of legal, political, and institutional constraints.

Tekedia Capital is delighted to congratulate Conductor Quantum, one of our portfolio companies, on winning the Quantum Reliability and Performance Award at the Quantum Summit hosted by the International Semiconductor Industry Group.

In recent months, Conductor Quantum has been at the forefront of innovation, collaborating with NVIDIA and other leading technology companies to develop next-generation approaches for building and optimizing qubits, the fundamental units of quantum computing.

This recognition underscores the company’s growing leadership in shaping the future of quantum systems. Congrats Team CQ.