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Peter Schiff Says Bitcoin at $78,000 is Still Expensive Despite Recent High

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Bitcoin critic Peter Schiff has stated that Bitcoin at $78,000 is very expensive despite recent high. While many traders/investors see the price as attractive he argues that this thinking is misleading.

According to Schiff via a post on X, he noted that when you look at Bitcoin’s full history, its current price is still expensive and not a bargain.

He wrote,

“Anyone paying $78,000 to buy Bitcoin is not getting in cheap. Based on the historic price range in which Bitcoin has traded since inception, $78,000 is a very high price to pay. Just because some people paid more, that does not mean paying less than they did is a bargain.”

His statement comes as Bitcoin surged past the $78,000 level in early May 2026, to trade as high as $79,134, amid bullish optimism. Schiff’s critique taps into a long-running debate about how investors should evaluate cryptocurrency valuations.

Schiff’s Long-Standing Bitcoin Skepticism

Peter Schiff, a vocal proponent of gold as a store of value, has long criticized Bitcoin since its early days. He has consistently argued that Bitcoin lacks intrinsic value, produces no cash flow, and functions more like a speculative bubble than digital gold.

By referencing Bitcoin’s entire price history which includes years of trading well below $1,000 and even below $100 Schiff says the current price remains elevated.

He dismisses the common bull-market argument that a pullback from recent highs (presumably above $100,000) automatically creates an attractive entry point.

His comment was however met with criticism with some users on X, saying that Bitcoin is still a relatively young asset class. Many view its price appreciation as a reflection of growing adoption, and institutional interest.

Critics further noted that Schiff has called Bitcoin overvalued at far lower levels, including under $100, $1,000, and $10,000. In their view, his consistent bearishness has caused him to miss one of the strongest performing assets of the past decade.

Some replies highlighted the irony of Schiff’s logic when applied to gold itself, which has also risen dramatically from historical averages. Gold recently trading near all-time highs is still promoted by Schiff as a strong buy.

Current Market Context

As of May 2026, Bitcoin has experienced significant volatility. After climbing to new record highs in the previous bull phase, the price has corrected above the $79,000 zone.

Bulls see this as a healthy consolidation and potential accumulation area before the next leg up, while skeptics like Schiff see it as evidence that the asset remains in bubble territory.

Traditional financial analysts often side with Schiff’s broader concerns about fiat currency debasement and speculative manias, but many have warmed to Bitcoin as a diversification tool in recent years, especially following ETF approvals and corporate adoption.

At the heart of Schiff’s argument is a fundamental philosophical difference, he believes sound money must have intrinsic properties (scarcity, durability, divisibility, and established industrial or monetary use), which he says Bitcoin fails to satisfy beyond scarcity and portability.

Whether Bitcoin eventually proves to be a transformative technology or a speculative frenzy will likely be determined by its performance over the coming decade, not any single price point.

China Blocks U.S. Sanctions on Iranian Oil Refiners, Signaling Deeper Defiance in Energy and Trade Confrontation

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China has moved to block the enforcement of U.S. sanctions against five domestic refiners accused of purchasing Iranian crude, escalating what is increasingly becoming a direct test of regulatory authority between the world’s two largest economies.

The Ministry of Commerce said on Saturday that it had issued an injunction preventing compliance with U.S. sanctions targeting the firms, according to state news agency Xinhua News Agency. The decision covers Hengli Petrochemical (Dalian) Refinery, Shandong Jincheng Petrochemical Group, Hebei Xinhai Chemical Group, Shouguang Luqing Petrochemical, and Shandong Shengxing Chemical, all part of China’s independent “teapot” refining sector.

These smaller, privately operated refineries account for roughly a quarter of China’s refining capacity and are particularly sensitive to crude price differentials. They rely heavily on discounted imports, including sanctioned Iranian oil, to remain competitive amid weak domestic fuel demand and compressed margins.

The injunction represents a clear escalation in Beijing’s posture toward Washington’s sanctions regime. While China has long objected to unilateral sanctions, it has now moved from diplomatic criticism to explicit domestic legal shielding of targeted firms, a step that effectively instructs companies and financial intermediaries within its jurisdiction to ignore U.S. enforcement measures.

The decision follows repeated warnings from Beijing that it would not bow to what it views as extraterritorial pressure from Washington. Chinese officials have argued in recent months that sanctions targeting third-country entities violate international law and disrupt legitimate trade flows.

In earlier statements, Beijing said it would take “necessary measures” to protect the lawful interests of Chinese companies, signaling that it would respond directly if domestic firms were penalized for dealings tied to sanctioned Iranian crude.

The latest move appears to translate that warning into policy action.

At the center of the dispute is the continued flow of Iranian oil into China, which remains one of Tehran’s most important energy buyers. Despite years of U.S. sanctions, shipments have persisted through complex logistics networks involving intermediary traders, ship-to-ship transfers, and reclassification of cargo origin.

Washington has intensified pressure on those channels, including recent sanctions on Hengli Petrochemical, which the U.S. Treasury accused of purchasing billions of dollars in Iranian crude. The other four refiners have also previously been sanctioned under earlier enforcement rounds.

For Beijing, however, access to low-cost crude remains a priority. Independent refiners depend on discounted barrels to offset narrow or negative margins, especially as domestic demand growth slows and competition within China’s fuel market intensifies.

Industry participants say sanctions have already begun to disrupt operations. Affected firms face increased difficulty securing cargoes, higher compliance risk in payments, and pressure to rebrand or reroute refined products for export markets to avoid secondary exposure.

The broader implication of China’s injunction is that it formalizes a parallel regulatory stance that directly challenges the reach of U.S. financial and sanctions systems. While enforcement capacity outside China remains limited, the move sends a political signal that Beijing is prepared to actively defend domestic firms operating in contested global supply chains.

Analysts say the decision reflects a wider shift in China’s approach to economic coercion, particularly in sectors tied to energy security. It also supports the view that Beijing is willing to absorb external pressure in order to preserve access to discounted crude supplies from sanctioned producers, including Iran and Russia.

Global oil markets are already under strain from geopolitical disruptions in the Middle East, where tensions have periodically threatened key shipping routes and contributed to sharp price volatility. Any sustained disruption to Iranian exports would tighten supply further, increasing reliance on alternative flows into Asia.

Against that backdrop, China’s move signals not only resistance to sanctions but also a broader recalibration of energy strategy under conditions of heightened geopolitical fragmentation. While the injunction may not neutralize the impact of U.S. measures in international banking, shipping insurance, or dollar-based transactions, it does reduce domestic legal exposure for affected firms and lowers the immediate risk of compliance-driven withdrawal from Iranian-linked trade.

Trump’s New Auto Tariff Threat Could Cost Germany Nearly $18bn In Output, Deepening Its Industrial Slowdown, Kiel Institute Says

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U.S. President Donald Trump’s decision to raise tariffs on European cars and trucks to 25% is threatening to intensify pressure on Germany’s already fragile economy, with new estimates suggesting the move could erase nearly 15 billion euros (about $18bn) in German industrial output in the near term and far more over time.

According to analysis by the Kiel Institute for the World Economy, the tariff escalation could inflict serious damage on Europe’s largest manufacturing economy, where the automotive sector remains a cornerstone of exports, employment, and industrial investment.

“The effects would be substantial,” IfW President Moritz Schularick said, warning that the long-term hit to German output could eventually climb toward 30 billion euros if the measures remain in place and trigger sustained disruption across supply chains.

The warning underscores how vulnerable Germany remains to renewed trade tensions at a time when its industrial model is already under strain from weak Chinese demand, high energy costs, rising competition from Chinese electric vehicle makers, and the economic fallout from the ongoing Middle East conflict.

Trump said Friday that tariffs on European automobiles would rise to 25% next week from the previously agreed 15%, accusing the European Union of failing to comply with the terms of an earlier trade arrangement with Washington. The announcement rattled investors and renewed fears that global trade fragmentation is entering a more aggressive phase as geopolitical rivalries increasingly shape industrial policy.

Germany is especially exposed because its economy depends heavily on exports of premium vehicles and automotive components to the United States. Carmakers such as Volkswagen, Mercedes-Benz, and BMW generate substantial revenue from the American market, while thousands of smaller suppliers across Germany’s industrial regions are integrated into transatlantic manufacturing chains.

Economists say the danger extends beyond direct vehicle exports. Higher tariffs could weaken investment, delay factory expansion plans, and accelerate pressure on already strained European supply networks. Germany’s industrial sector has been battling stagnant production, subdued consumer demand, and shrinking competitiveness after years of elevated energy costs following the collapse of cheap Russian gas supplies.

The IfW currently forecasts German economic growth of just 0.8% this year, meaning even a relatively modest external shock could push Europe’s largest economy closer to stagnation.

“If Germany’s car exports weaken further, the consequences will spread far beyond automakers,” analysts said, noting the sector supports steel producers, chemical firms, logistics providers, software developers, and machinery manufacturers throughout the country.

The impact would not be limited to Germany.

The institute said countries including Italy, Slovakia, and Sweden would also face significant economic losses because of their large automotive sectors and integration into European manufacturing networks.

Slovakia is considered particularly vulnerable because automobile production accounts for an unusually large share of its economy.

The tariff threat also comes at a difficult moment for Europe’s electric vehicle ambitions. European manufacturers are already losing market share to Chinese rivals such as BYD and other low-cost EV producers that have rapidly expanded into global markets with cheaper, technology-heavy vehicles. Also, American industrial policy under Trump has become increasingly protectionist, prioritizing domestic manufacturing and seeking to pressure allies into reshoring production to the United States.

Some analysts believe the tariff escalation could ultimately force European carmakers to accelerate investments in North American manufacturing capacity to avoid punitive duties.

Yet uncertainty remains over whether the tariffs will actually take effect.

Jens Suedekum, chief adviser to Germany’s finance minister, urged caution, noting Trump has a history of issuing aggressive tariff threats before suspending or revising them.

“The EU should simply wait and see for now,” Suedekum told Reuters, adding that it remained unclear whether there was a legal basis for the move or whether Washington could fully justify claims that Europe violated the existing agreement.

“It all seems quite impulsive,” he said.

That unpredictability itself has become part of the economic problem. Business groups across Europe increasingly warn that volatile U.S. trade policy is making long-term planning more difficult for exporters and manufacturers already grappling with geopolitical instability and rising financing costs.

The development also risks reopening broader transatlantic tensions just as Europe and the United States are attempting to coordinate on issues ranging from China’s industrial expansion to supply-chain security and energy markets disrupted by the Iran war.

For Germany, the stakes are particularly high because the country’s postwar economic model has long relied on stable global trade flows, export-driven manufacturing, and open access to major consumer markets. A prolonged tariff confrontation with Washington would strike directly at the heart of that model at a time when Berlin is already struggling to redefine its industrial future.

Greg Abel Clears His First Major Berkshire Test as Investors Look Beyond the Warren Buffett Era

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For decades, Berkshire Hathaway’s annual meeting revolved around a single gravitational force: Warren Buffett.

Investors traveled from around the world not only to hear the legendary investor dissect markets and business strategy, but also to absorb the culture, discipline, and personality that shaped one of the most successful conglomerates in corporate history.

This year marked the clearest indication yet that Berkshire is entering a fundamentally different phase.

In his first major appearance running the meeting, Greg Abel, who succeeded Buffet last year, presented shareholders with a version of Berkshire that appeared less centered on iconic stock-picking and more focused on operational scale, infrastructure dominance, disciplined execution, and long-term industrial positioning.

The transition was subtle in tone but profound in implication. While shareholders acknowledged the absence of Buffett’s humor, storytelling, and instinctive market wisdom, many emerged from the event increasingly convinced that Berkshire’s succession framework is stronger and more institutionalized than previously assumed.

“Greg and company delivered on content, examination of businesses and confidence in outlook,” said Macrae Sykes of Gabelli Funds.

The meeting effectively served as Abel’s first large-scale stress test before Berkshire’s intensely loyal investor base, many of whom have spent decades treating Buffett’s leadership as inseparable from the company itself. The result, according to investors and analysts, was not an attempt to imitate Buffett, but an effort to redefine Berkshire around its operational machinery.

Under Buffett and late vice chairman Charlie Munger, Berkshire became synonymous with capital allocation excellence. Investors viewed the conglomerate partly as a giant investment partnership wrapped inside a collection of operating businesses.

Abel’s Berkshire appears likely to lean more heavily on the strength of those businesses themselves.

Throughout the meeting, Abel repeatedly drilled into the economics and performance of Berkshire’s subsidiaries, including railroads, utilities, insurance operations, manufacturing units, and consumer businesses. Shareholders said the level of detail was unusually granular compared with previous meetings.

“The answers were really good as they gave granular insights,” said German investor Tilman Versch.

The shift suggested a deliberate repositioning: Berkshire increasingly wants investors to value the company not only as Buffett’s portfolio, but as one of the world’s most diversified industrial and infrastructure platforms.

That could prove increasingly important in the years ahead. Unlike many technology-focused conglomerates, Berkshire owns a vast network of real-economy assets tied to transportation, power generation, logistics, housing, manufacturing, and insurance. Those businesses are deeply embedded in the functioning of the U.S. economy and generate enormous recurring cash flow even during periods of market turbulence.

Analysts say Abel’s operational background may strengthen Berkshire’s positioning during a period when infrastructure, energy security, and industrial resilience are becoming central investment themes globally.

Artificial intelligence unexpectedly became one of the clearest examples of that shift. Rather than discussing AI primarily as a speculative technology boom, Abel framed it as an industrial and infrastructure opportunity for Berkshire’s core businesses. He spoke extensively about AI applications inside BNSF Railway and emphasized the enormous electricity demand being created by hyperscale data centers.

That demand surge could become a major growth engine for Berkshire Hathaway Energy, one of the conglomerate’s most strategically valuable assets.

In effect, Berkshire is positioning itself to profit from AI not by competing with Silicon Valley, but by owning the physical systems the AI economy depends on: rail networks, energy grids, utilities, and industrial infrastructure. That framing resonated with investors who increasingly see AI’s long-term winners extending beyond software companies into firms controlling electricity, logistics, and hard assets.

“He was clearly very comfortable with technology and AI,” said Adam Patti of VistaShares. “Perhaps that lends insight into how the portfolio may evolve over time.”

The comments also became a boost to the growing expectations that Berkshire’s investment style could evolve gradually under Abel. Buffett historically avoided many technology sectors because he preferred businesses with highly predictable economics. Abel appears more willing to engage with technological transformation, particularly where it intersects with Berkshire’s existing industrial footprint.

At the same time, shareholders appeared reassured by the visibility of Berkshire’s broader leadership structure. Executives, including insurance chief Ajit Jain and BNSF CEO Katie Farmer, played more visible roles, reinforcing the idea that Berkshire’s management depth extends far beyond Buffett himself.

That “deep bench” has become increasingly important to investor confidence because Berkshire’s scale now makes continuity critical. With hundreds of billions of dollars in assets and operations spanning nearly every major sector of the economy, the conglomerate can no longer function as a personality-driven enterprise alone.

Still, there are some unresolved concerns.

Shareholders expressed disappointment over Berkshire’s muted pace of share buybacks, with only $235 million repurchased during the quarter. Given Berkshire’s enormous cash reserves, some investors expected more aggressive repurchases, particularly as acquisition opportunities remain limited.

The hesitation may reflect management caution at a time when valuations across large-cap equities remain elevated and geopolitical risks are intensifying. But it is also seen as an indication of a broader challenge facing Berkshire itself: its immense size increasingly limits the universe of acquisitions capable of materially moving earnings growth.

That reality could gradually push Berkshire toward a more infrastructure-focused identity, emphasizing steady operational returns over blockbuster investment gains. The cultural transition underway at Berkshire may ultimately become one of the most closely watched succession stories in modern corporate history. Very few global companies have ever attempted to move beyond a founder figure as dominant as Buffett without suffering a crisis of identity or investor confidence.

What emerged from this year’s meeting, however, was the sense that Berkshire is trying to evolve from a company defined by one extraordinary investor into an institution defined by systems, operating discipline, and decentralized management strength.

For shareholders, the key takeaway was not that Abel resembles Buffett. It was that he may not need to.

How Document Verification Software Prevents Identity Fraud in Banking

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Identity fraud has become one of the most significant financial threats facing banks and lending institutions today. Criminals use forged passports, manipulated driver’s licenses, and stolen identity credentials to open fraudulent accounts, secure unauthorized loans, and bypass anti-money laundering controls. The financial sector loses billions of dollars annually to these schemes, and regulators are responding with increasingly strict Know Your Customer and Anti-Money Laundering requirements.

Manual document review, once a standard part of onboarding, can no longer keep pace with the speed and sophistication of modern fraud attacks. That’s why financial institutions are turning to document verification software as a core component of their identity verification infrastructure. These systems apply machine learning and computer vision to analyze identity documents at a level of precision that human reviewers cannot reliably achieve at scale.

What Is Document Verification Software?

Document verification software is a category of technology that uses optical character recognition (OCR), computer vision, and AI-based classification to extract data from identity documents and assess their authenticity. In other words, it automates the process of reading a document, confirming that its structure and content match expected patterns, and flagging anomalies that may indicate forgery or tampering.

A complete verification pipeline typically covers several functions working in sequence:

  • Document classification: identifying the document type and issuing country, for example distinguishing a German passport from a UK driver’s license.
  • Data extraction: reading fields such as name, date of birth, document number, and expiry date using OCR and structured parsing.
  • Machine Readable Zone (MRZ) validation: checking that the encoded data in the bottom strip of passports and ID cards matches the visible fields and conforms to international standards.
  • Authenticity checks: analyzing fonts, microprint, security holograms, and document geometry to detect signs of physical or digital manipulation.
  • Liveness and biometric matching: in more advanced deployments, cross-referencing the document photo with a real-time selfie to confirm the person presenting the document is its legitimate holder.

What is also important here is that modern solutions handle documents from dozens of countries out of the box, which is essential for banks serving international customers or operating across multiple jurisdictions.

Where Document Verification Makes the Greatest Difference in Banking

Financial institutions encounter identity fraud risk at several distinct points in the customer lifecycle. The following scenarios represent the highest-value applications of automated verification.

Customer Onboarding and KYC Compliance

Opening a new account requires confirming the applicant’s identity against a government-issued document. Given this requirement, any gap in the verification process creates an entry point for fraud. Automated document verification enables banks to complete this check in seconds, with consistent accuracy across every application. This positively affects both the customer experience and the institution’s compliance posture.

Loan and Credit Application Processing

Fraudsters frequently submit applications using stolen or fabricated identity documents to obtain credit they have no intention of repaying. Document verification software can detect inconsistencies in document formatting, check that data fields are internally consistent, and flag documents that do not match the expected template for the claimed country and document type. Thanks to this layer of screening, banks can reject fraudulent applications before they reach a human reviewer.

Branch and Remote Identity Verification

Banks need to verify identity both in person at branches and through remote digital channels such as mobile apps and web portals. A well-designed solution should support both scenarios from a single platform, allowing consistent standards to be applied regardless of the channel. Here is when unified document verification infrastructure becomes particularly valuable, as it eliminates inconsistencies between in-branch and digital onboarding processes.

Transaction Monitoring and Re-Verification

High-value transactions, changes to account credentials, and unusual activity patterns may trigger re-verification requirements. Document verification software can support these workflows by enabling rapid identity re-checks without requiring the customer to visit a branch, which reduces friction while maintaining security.

What Reliable Document Verification Software Should Have

Not all solutions deliver the same capabilities or reliability in a banking environment. When evaluating options, financial institutions should look for the following characteristics.

  • High accuracy across document types and conditions. The system should perform well on documents that are worn, photographed under poor lighting, or partially obscured. You should attentively analyze published accuracy benchmarks and request testing on your actual document mix.
  • Support for a broad document library. The most highly demanded options are those that cover passports, national ID cards, driver’s licenses, and residence permits from at least 150 countries, with regular updates as new document versions are issued.
  • MRZ and chip data validation. For passports and newer ID cards, the solution needs to read and validate the MRZ and, where applicable, the embedded NFC chip data.
  • Fraud detection capabilities. Look for software that checks security features specific to each document type, including UV-visible elements, font consistency, and edge geometry, rather than relying solely on OCR data matching.
  • Audit trail and reporting. Banking regulators require evidence that verification checks were performed. The solution should generate structured logs for every verification event, including the document type, extracted fields, check results, and timestamp.
  • Integration flexibility. Typical integrations include core banking systems, CRM platforms, KYC orchestration layers, and risk scoring engines. The solution should offer REST APIs and SDKs compatible with the bank’s technology stack.

How to Implement Document Verification in a Banking Context

Deploying document verification software effectively requires more than selecting a capable product. The following steps will help financial institutions achieve a successful implementation.

  1. Define the verification scope before evaluating vendors. Determine which customer touchpoints require document verification, what document types are most common in your customer base, and what regulatory standards apply. This scoping exercise will clarify which product features are essential and which are optional.
  2. Run a proof of concept with your own data. We recommend testing candidate solutions against a sample of real documents representative of your customer population, including edge cases such as older documents, non-Latin character sets, and documents with visible wear. Vendor-provided benchmarks may not reflect your specific conditions.
  3. Assess deployment model requirements. If your compliance framework requires that identity data not leave your infrastructure, you will need a solution that supports on-premise or private cloud deployment. Pay attention to licensing models that require ongoing internet connectivity, as these may not be compatible with strict data localization requirements.
  4. Plan the integration architecture. Map the data flows between the document verification system and downstream platforms. It will be helpful to involve your compliance, IT security, and operations teams at this stage to identify any data handling requirements that need to be addressed in the integration design.
  5. Establish exception handling and human review workflows. Automated verification will not achieve 100% certainty on every document. Define clear thresholds for when a case should be escalated to a human reviewer and ensure those reviewers have access to the full verification output, including flagged anomalies and confidence scores.

Compliance and Risk Considerations

Deploying document verification software in a regulated banking environment requires attention to several compliance dimensions. Apart from the accuracy and fraud detection capabilities of the software itself, institutions need to address the following areas.

  • Data protection compliance. Identity document data is classified as sensitive personal data under GDPR and equivalent regulations. Data minimization principles should be applied, and retention periods for document images and extracted fields should be defined and enforced.
  • Regulatory audit readiness. Verification logs should be structured to support regulatory examination. This includes recording the basis for acceptance or rejection decisions, not just the final outcome.
  • Model governance. AI-based verification systems should be subject to the same model risk management practices as other AI tools used in credit and compliance decisions, including periodic performance reviews and bias assessments.

From a financial perspective, the cost of implementing document verification software should be weighed against the cost of fraud losses, regulatory fines for KYC failures, and the operational expense of manual review. The majority of financial institutions that have conducted this analysis find that automated verification delivers a measurable return within the first year of deployment.

Conclusion

Document verification software addresses one of the most persistent vulnerabilities in banking security: the gap between the volume and sophistication of identity fraud and the capacity of manual review processes to detect it. By automating the analysis of identity documents at the point of onboarding and throughout the customer lifecycle, banks can significantly reduce their exposure to fraud while improving compliance outcomes and customer experience.

Successful deployment requires selecting a solution with strong accuracy, broad document coverage, and meaningful fraud detection capabilities, then integrating it thoughtfully into existing compliance and operational workflows. With the right implementation, document verification becomes a reliable, scalable defense against identity fraud rather than a procedural checkbox.