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US Student Loan Payment Errors and Delays: Federal Report Proposes Solutions for Borrowers

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Student-loan borrowers are facing a difficult combination of payment errors, confusing account information and long waits for customer-service assistance.

For millions of Americans already struggling to manage education debt, administrative failures can turn an ordinary payment into a financial crisis.

A new federal report, points toward a practical solution: stronger oversight, better technology and clearer accountability across the student-loan servicing system.

The problems are not simply inconvenient. Student-loan servicers are responsible for processing payments, maintaining borrower accounts, communicating repayment options and helping people navigate complicated federal programs.

When those functions fail, borrowers can experience incorrect balances, missing payments, unexpected charges or difficulties accessing programs designed to provide relief. Even a temporary error can have serious consequences when borrowers are living paycheck to paycheck.

Customer service has become another major source of frustration. Borrowers may spend long periods waiting for assistance, only to receive inconsistent information or be transferred between departments. The complexity of federal repayment programs makes effective communication particularly important.

A borrower who receives unclear instructions may make the wrong payment, miss an important deadline or fail to complete paperwork needed to protect their account. The federal report’s proposed solution reflects a broader recognition that student-loan servicing needs structural improvement rather than temporary fixes.

Better data systems could help prevent payment-processing errors before they reach borrowers. Servicers could also be required to maintain more accurate records and provide clearer explanations when account balances or payment requirements change.

Technology could play a central role in that transformation. Modernized platforms can automatically identify unusual transactions, flag discrepancies and give borrowers real-time access to account information.

Instead of forcing borrowers to depend entirely on telephone representatives, improved digital systems could allow them to track payments, verify balances and receive important notifications online. However, technology alone will not solve the problem.

Federal agencies must strengthen oversight of the companies responsible for servicing loans. Clear performance standards, regular audits and meaningful consequences for repeated errors could encourage servicers to prioritize accuracy and responsiveness.

Borrowers should not have to carry the financial consequences of mistakes they did not make. Transparency is equally important.

Borrowers need straightforward information about how much they owe, when payments are due and how their payments are being applied. When policies change, communication should be timely and understandable rather than buried in complicated notices or technical language.

The report therefore raises a larger question about how the government manages one of the country’s most important consumer-finance systems. Student loans affect household budgets, home purchases, entrepreneurship and long-term financial planning.

Administrative failures can therefore have consequences far beyond an individual account. The immediate priority is accuracy. Every payment should be properly recorded, every account should reflect the correct balance and every request for assistance should receive a timely response.

The challenge is creating a system capable of delivering those basic standards consistently. The federal report offers an opportunity to rethink student-loan servicing around accountability rather than bureaucracy. If agencies implement stronger oversight, modern technology and borrower-focused customer service, payment errors and delays could become less common.

The ultimate measure of reform, however, will be simple: whether borrowers can manage their loans without fighting the system designed to help them.

Berkshire Hathaway Puts Record Cash Pile To Work With $20 Billion Stock Spree, Alphabet Bet

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Conglomerate ends 14-quarter streak of net stock sales as Greg Abel accelerates buybacks and deploys billions under Berkshire’s new leadership

Berkshire Hathaway began putting its enormous cash reserves to work in the second quarter, investing nearly $20 billion more in stocks than it sold and repurchasing billions of dollars of its own shares as new Chief Executive Greg Abel moves to reshape the conglomerate’s capital-allocation strategy.

The Omaha, Nebraska-based company said Saturday that it repurchased $4.5 billion of its own shares during the second quarter and another $3.3 billion in July. The purchases mark an acceleration from the buybacks that resumed in March after a nearly two-year pause.

Berkshire also bought nearly $20 billion more stocks than it sold between April and June, ending a 14-quarter streak in which the conglomerate had been a net seller of equities.

The shift is significant because Berkshire had accumulated one of the world’s largest corporate cash piles as Warren Buffett struggled to find investments large enough to absorb the company’s growing liquidity.

Berkshire’s cash, cash equivalents and short-term Treasury bills stood at $364.7 billion at the end of June, down from a record $380.2 billion three months earlier. Even after the latest spending, the conglomerate retains an enormous financial cushion.

The biggest new equity bet was Alphabet, parent of Google and YouTube. Berkshire invested about $10 billion in the company during the quarter, making Alphabet one of its largest stock holdings. The purchase gives Berkshire substantial exposure to artificial intelligence and digital advertising while adding a major technology company to a portfolio historically dominated by financial, consumer and industrial businesses.

The move also signals that Berkshire is willing to deploy a meaningful portion of its cash when management sees attractive valuations, rather than allowing liquidity to accumulate indefinitely.

Abel Begins to Put His Stamp on Berkshire

The second-quarter results provide one of the clearest early indications of how Abel intends to manage Berkshire’s vast balance sheet after succeeding Buffett as chief executive.

Abel became CEO early this year, while Buffett remains chairman. Investors have been closely watching whether Abel will adopt a more aggressive approach to acquisitions, equities and share repurchases than Buffett did during the final years of his tenure.

The pace of Berkshire’s buybacks is already comparable with some of Buffett’s most active periods. Berkshire’s biggest annual share-repurchase programme came in 2021, when it bought back $27 billion of its own stock.

The latest purchases suggest that Berkshire’s capital allocation may be entering a more active phase. The company has the financial capacity to pursue large acquisitions, invest in public companies and repurchase shares simultaneously, although Abel’s willingness to deploy capital will ultimately depend on valuations and available opportunities.

The Alphabet investment is notable because it represents a large commitment to a company at the center of the AI investment cycle. Berkshire had previously been cautious about technology valuations even as AI enthusiasm drove major U.S. technology stocks sharply higher.

Operating Businesses Deliver Stronger Profit

Berkshire’s operating performance also improved during the quarter. Second-quarter operating profit rose 16% to $12.98 billion, or about $9,068 per Class A share, from $11.16 billion a year earlier.

Higher earnings at BNSF railroad and stronger results from Berkshire’s manufacturing, service and retail operations contributed to the increase. Foreign-currency movements also provided a benefit.

Net income more than doubled to $25.67 billion, or about $17,928 per Class A share, from $12.37 billion a year earlier.

The comparison was helped by a $3.76 billion writedown Berkshire recorded a year earlier on its stake in packaged-food company Kraft Heinz. That accounting charge had weighed heavily on the prior year’s net income.

The operating-profit figure is generally more closely watched as a measure of Berkshire’s underlying business performance because net income can fluctuate significantly with changes in the market value of its equity investments.

Cash Mountain Begins to Shrink

The reduction in Berkshire’s cash pile is modest relative to its overall size, but the direction is important.

The company entered the quarter with more than $380 billion in cash and Treasury bills, reflecting years of accumulated liquidity. Buffett repeatedly argued that Berkshire needed to maintain substantial financial strength while waiting for opportunities that offered attractive risk-adjusted returns.

Now, with Abel at the helm, Berkshire appears to be moving toward greater capital deployment.

The nearly $20 billion net stock purchases, combined with $4.5 billion in second-quarter buybacks and more than $3.3 billion in July repurchases, show that the company is no longer simply allowing its cash reserves to accumulate.

The shift could become more consequential if Berkshire finds additional companies trading at prices that meet its investment criteria.

At the same time, Berkshire’s cash balance remains large enough to preserve its ability to make a transformative acquisition or provide liquidity during a market downturn. That combination of a huge cash reserve and renewed willingness to invest gives Abel considerable flexibility as he establishes his own record as Berkshire’s capital allocator.

Berkshire’s roughly $10 billion investment in Alphabet may be the most closely watched element of the quarter.

Alphabet has become one of the largest beneficiaries of the global AI investment cycle, but it also faces substantial costs as it expands data-center capacity and develops AI models and services.

For Berkshire, the investment provides exposure to a business with several established revenue streams, including search, advertising, cloud computing and YouTube, while giving the conglomerate a larger position in the technology sector.

The move also indicates that the AI boom is reshaping the opportunity set for large institutional investors. Berkshire can participate in the theme without taking on the early-stage risks associated with unprofitable AI startups or infrastructure companies. Its decision to deploy $10 billion into Alphabet suggests management sees sufficient long-term value in the company’s earnings and competitive position to justify a significant allocation.

The broader message from Berkshire’s results is therefore less about a single stock purchase than about a change in the use of its balance sheet.

Switch Files Confidentially for U.S. IPO at Potential $50bn Valuation as AI Data Center Demand Surges

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Switch Inc., a data center operator majority-owned by DigitalBridge Group Inc., has confidentially filed for a U.S. initial public offering as investors continue to pour capital into infrastructure supporting the artificial intelligence boom, according to Bloomberg News, citing people familiar with the matter.

The Las Vegas-based company is targeting a public listing that could come as early as November, the people said. The IPO plans remain preliminary, and the timing, size and other terms of the offering could change.

Switch is working with Bank of America, Citigroup, Goldman Sachs, JPMorgan Chase and Morgan Stanley on the potential offering, one of the people said.

The planned IPO would position Switch among a growing group of data center companies seeking access to public equity markets as surging demand for AI computing drives investment in power, servers and large-scale data center capacity.

The company operates facilities in Nevada, Michigan, Georgia and Texas, according to its website. Its infrastructure is designed to serve large technology customers whose computing requirements have expanded rapidly with the development of generative AI and other data-intensive applications.

A16z Co-Founder Joins Switch Board

Separately, Ben Horowitz, co-founder of venture capital firm Andreessen Horowitz, is joining Switch’s board, according to people familiar with the matter.

Switch has also been working on a funding round led by Andreessen Horowitz, which could value the company at close to $50 billion including debt, Bloomberg News reported in July.

That potential valuation would represent a major increase from the $11 billion enterprise value at which Switch was acquired in 2022 by a group including DigitalBridge and Australian infrastructure investor IFM Investors. The valuation would also highlight how dramatically investor expectations for data center infrastructure have changed as AI companies and cloud providers commit enormous amounts of capital to expand computing capacity.

Data Center IPO Market Gains Momentum

Switch’s confidential filing comes during an increasingly active period for U.S. data center listings and fundraising.

Data center owners, infrastructure investors and companies supplying equipment and services to the industry have been seeking new capital as AI-related demand accelerates the need for additional computing facilities.

Blackstone Digital Infrastructure Trust raised $2 billion through an IPO in May, while Csquare, backed by Brookfield, raised $1.21 billion in an IPO last month.

The activity reflects a broader shift in how investors view data centers. Once primarily considered a specialized real estate and infrastructure business, the sector has increasingly become a key part of the AI investment chain.

The rapid expansion of AI workloads has created demand for facilities with access to large amounts of electricity, advanced cooling systems and high-density computing infrastructure. That has increased the strategic value of data center operators capable of securing power and bringing new capacity online.

For Switch, an IPO could provide capital to expand its footprint while giving existing shareholders a liquid market for their stakes.

DigitalBridge is Switch’s majority owner and has positioned itself as a major investor in digital infrastructure, including data centers.

DigitalBridge and IFM Investors acquired Switch in 2022 in a transaction valued at about $11 billion including debt. DigitalBridge itself agreed last year to be acquired by SoftBank Group, further connecting Switch to one of the world’s largest technology-focused investment groups.

The potential IPO therefore comes at an important point for Switch’s ownership structure and financing strategy.

A public listing would also give investors a clearer market valuation for a company whose assets have benefited from the sharp repricing of data center infrastructure since the AI boom accelerated.

The biggest question for prospective investors will be whether Switch can convert the extraordinary demand for AI infrastructure into sustainable long-term returns. Building data centers requires substantial upfront capital, while securing electricity, land and grid connections can constrain how quickly operators add capacity.

If Switch proceeds with a November listing, analysts expect its valuation and market reception could provide another important test of investor appetite for AI infrastructure after a period in which capital has increasingly flowed toward the physical assets required to power the technology.

Delaware Judge Revives Verisk’s $2.35bn AccuLynx Deal After Finding Termination Invalid

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A Delaware judge has ordered data analytics company Verisk to pursue the completion of its $2.35 billion acquisition of roofing software provider AccuLynx, more than seven months after Verisk sought to terminate the transaction, in a ruling that could force the company back into a deal it had attempted to abandon.

Delaware Chancery Court Judge Bonnie David ruled that Verisk’s termination of the agreement was invalid because the company’s own “willful conduct caused the failure of a condition to closing.” The court also awarded AccuLynx damages for direct costs, plus interest.

The ruling means a major setback for Verisk, which had argued that it was entitled to walk away from the transaction after the U.S. Federal Trade Commission failed to complete its regulatory review by the agreed termination date of December 26.

Verisk announced the planned acquisition in July 2025, initially targeting completion by the third quarter of that year. The transaction was intended to strengthen Verisk’s position in software and data services serving the property insurance and roofing industries.

The deal encountered regulatory obstacles in October 2025, when the FTC requested additional information from Verisk and AccuLynx. The request extended the agency’s review and pushed the transaction beyond its original timetable.

By late December, Verisk said the FTC had notified the companies that its review had not been completed by the December 26 deadline. Verisk subsequently terminated the agreement.

AccuLynx rejected that decision and notified Verisk that it believed the termination was invalid. Verisk strongly disagreed and said it would vigorously defend its position.

Judge David’s ruling now puts the transaction back in play.

The central issue was not simply whether the FTC had completed its review by the contractual deadline. The court found that Verisk’s own conduct had contributed to the failure of a condition required for closing, undermining its attempt to use that failure as a basis for terminating the agreement.

That finding weighs heavily because it limits a buyer’s ability to rely on a closing condition when the buyer’s conduct has helped prevent that condition from being satisfied. For AccuLynx, the ruling preserves the possibility of completing a transaction that had appeared to collapse months ago.

The deal, however, is not guaranteed to close.

The FTC must still approve the acquisition, meaning the regulatory question that contributed to the dispute remains unresolved. The agency’s request for additional information last year indicated that the transaction was receiving a more extensive review than initially anticipated.

That regulatory scrutiny could prove decisive. A Delaware court can determine the contractual rights of the parties, but it cannot compel the FTC to approve a transaction that raises competition concerns.

The ruling also creates a more complicated strategic position for Verisk. The company must now attempt to complete an acquisition that it previously determined it could terminate, while potentially absorbing additional legal and transaction costs and remaining exposed to regulatory uncertainty.

The court’s award of direct costs and interest adds another financial consequence for Verisk, although the ruling does not indicate that AccuLynx is entitled to the full $2.35 billion transaction value as damages.

The dispute also underlines the impact of regulatory oversight on acquisitions. Deals can remain vulnerable for months when antitrust reviews extend beyond expected closing dates, particularly when agreements contain deadlines that allow either party to exit under specified circumstances.

The next major hurdle is therefore the FTC. Until the agency completes its review and grants approval, Verisk’s obligation to pursue the acquisition does not guarantee that the transaction will ultimately close.

However, with this judgment, what began as a $2.35 billion software acquisition announced in 2025 has now become a closely watched test of how far a buyer can go in terminating a transaction when regulatory conditions remain unresolved.

Apple Turns to Alibaba’s Qwen to Bolster Its AI Push in China as Mac Market Share Slips

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Apple has published a guide showing eligible Mac users in mainland China how to connect Alibaba’s Qwen artificial intelligence service to Siri and Apple’s Writing Tools, giving the U.S. technology giant a locally supported way to expand its AI capabilities in a market where its personal-computer business is losing ground to Chinese rivals.

The integration allows users to opt in to Qwen through Siri for more detailed responses to certain requests, including analysis of photographs and documents. Apple’s Writing Tools can also use the service to generate text or images from user prompts.

The arrangement applies to Macs running macOS 26.6 or later and is subject to China-specific requirements. Users must activate the Qwen extension and sign in to a Qwen account.

Apple’s guide also states that Alibaba cannot use the materials processed through the service to train or improve its AI models, a condition that could be important in addressing data-handling and privacy requirements surrounding generative AI services in China.

The move gives Apple a way to add more advanced generative AI capabilities to its Mac lineup without relying entirely on its own models. More importantly, it provides a route for the company to offer AI functions through a Chinese service that can operate within the country’s regulatory environment.

That matters as Apple’s position in China’s PC market comes under increasing pressure.

Mac shipments in mainland China declined 9% year over year in the first quarter to about 800,000 units, leaving Apple with roughly 9% of the market, according to Omdia. Lenovo held about 31%, while Huawei had 16% as the Chinese technology company continued expanding its presence in the PC market.

Chinese manufacturers have been increasingly differentiating their computers through locally developed AI features. Lenovo, for example, has made its Tianxi personal AI agent a central part of its AI-PC strategy, while Huawei is incorporating AI functions across its HarmonyOS ecosystem.

Apple’s Qwen integration therefore serves a broader strategic purpose than simply adding another chatbot to the Mac. By connecting the Chinese AI model directly to Siri and Writing Tools, Apple can preserve the Mac’s existing user interface while outsourcing some of the underlying generative AI capabilities to a domestic model provider.

The approach could help Apple close part of the AI feature gap with Chinese PC manufacturers, which are using locally developed assistants and AI tools as selling points in a market where consumers and businesses are increasingly evaluating computers based on their AI capabilities.

For Alibaba, the partnership offers a significant distribution opportunity.

Qwen is Alibaba’s family of generative AI models and can generate text and images while analyzing documents, photographs and other material. Embedding the service into Apple’s operating system would put Qwen in front of Mac users through features they already use, rather than requiring consumers to access Alibaba’s applications or cloud services separately.

Alibaba has previously said Qwen would be incorporated into Apple Intelligence across the iPhone, iPad, Mac and Vision Pro in China. Apple’s newly published instructions, however, specifically detail the Mac implementation.

The partnership comes as Alibaba continues to expand its AI portfolio. The company this week released Qwen3.8-Max, which it describes as its most capable model to date, with 2.4 trillion parameters. Apple has not disclosed which Qwen model will power the Mac extension, so it is unclear whether the newest model will be used.

The partnership also underpins the different paths Apple is taking to deploy AI in China compared with other markets. Rather than simply extending the same AI infrastructure globally, Apple must work within China’s regulatory framework and accommodate local requirements around data, content and AI services.

That makes partnerships with Chinese technology companies strategically important.

The challenge is to make Apple’s products competitive on AI capabilities while maintaining a consistent user experience and meeting China’s regulatory requirements. For Alibaba, integration with Apple’s software gives Qwen exposure to an established global hardware ecosystem and could strengthen its position against other Chinese AI developers.

The impact could extend beyond the Mac if Apple follows through on its broader plan to integrate Qwen across its devices in China.

The immediate test, however, will be whether the new functionality can help Apple address the widening competitive gap in China’s PC market.

The Qwen integration does not solve Apple’s broader market-share problem on its own, but it gives the company a locally tailored AI capability that could make its Mac lineup more competitive at a time when AI is becoming a differentiator in China’s PC market.