Apple has announced a new line of devices powered by its latest M5 chip, marking its determination to regain ground in the high-performance computing race amid intensifying competition from Qualcomm and Intel.

The launch, which includes a refreshed MacBook Pro, a new iPad Pro, and the second-generation Vision Pro headset, marks Apple’s latest strategic move to reinforce its dominance in the premium tech ecosystem.

The tech giant revealed the products on Wednesday, positioning them as tools for creative professionals who rely on processing speed and AI capabilities. The rollout also reflects Apple’s established pattern of debuting its most advanced chips in its flagship MacBook Pro and iPad Pro devices before expanding to other product categories.

The new 14-inch MacBook Pro starts at $1,599, the iPad Pro begins at $999, and the second-generation Vision Pro headset retails for $3,499. Notably, Apple has maintained the same pricing structure as the previous generation of devices featuring the M4 chip, signaling a focus on performance enhancement rather than cost escalation in a market still sensitive to inflation and global economic uncertainty.

At the heart of the new lineup is the M5 processor, fabricated using an advanced 3-nanometer process. Apple said the chip delivers faster performance and improved energy efficiency while enabling devices to handle artificial intelligence workloads locally, including the ability to run large language models directly on the MacBook Pro without relying on cloud servers.

This move places Apple squarely in competition with chipmakers like Qualcomm, which has been aggressively marketing its Snapdragon X Elite processors with integrated AI capabilities, and Intel, which recently introduced its own suite of AI-focused chips.

Apple’s chip transition, which began in 2020 when it replaced Intel’s x86 processors with its own Apple Silicon, has redefined the Mac product line. The M5 extends that journey by offering a significant leap in both neural processing and GPU performance, which are critical for AI-driven applications in design, video editing, and 3D rendering.

The Vision Pro headset, which debuted in 2023 as Apple’s first major hardware launch in nearly a decade, received a much-needed update. Despite receiving praise for its advanced display and immersive design, the device has remained a niche product due to its high cost and limited ecosystem of applications. Apple hopes the second-generation Vision Pro, powered by the new chip and featuring refined ergonomics, will expand its user base and attract more developers to its spatial computing platform.

Still, analysts believe Apple faces an uphill battle in turning the Vision Pro into a mainstream success.

Meanwhile, the company’s iPad division—long considered a bellwether of Apple’s hardware innovation—is showing signs of recovery after three years of declining sales. Market projections indicate a 6% growth in iPad sales for the fiscal year ending September 2025, driven largely by the introduction of smaller and more affordable variants. This comes amid a broader rebound in global consumer electronics demand following a slowdown during the pandemic years.

Mac sales are also expected to climb, supported by the popularity of the more compact and budget-friendly Mac Mini featuring the M4 chip. The lower-priced device has helped Apple capture price-sensitive consumers while maintaining profitability in its premium laptop range.

Analysts view the M5 chip’s launch as both a technological and strategic move. Apple aims to differentiate its ecosystem from rivals in an era when AI performance has become a key selling point by consolidating its chip advantage. The decision to keep prices steady while integrating more advanced hardware is seen as a deliberate effort to maintain customer loyalty while extending the longevity of its product cycles.

However, competition remains fierce as Qualcomm and Intel have introduced processors capable of accelerating AI workloads, narrowing the performance gap that once defined Apple Silicon’s edge. Microsoft, too, has integrated AI features into its Windows ecosystem through Copilot, enhancing productivity applications that directly rival Apple’s creative software suite.

But Apple continues to lean on its vertical integration strategy—controlling both hardware and software—to optimize performance across its devices. This synergy remains one of its core competitive advantages, allowing it to deliver seamless experiences and maintain tight control over product innovation.

The company’s renewed focus on AI capabilities also aligns with a broader industry shift. With large language models and generative AI applications becoming increasingly mainstream, Apple’s push to enable on-device AI processing could appeal to users concerned about privacy and cloud dependency. Local computation offers faster response times and reduced energy costs, while limiting data exposure to external servers—an area Apple has long emphasized as a differentiator.

For creative professionals, the latest updates reaffirm Apple’s positioning as the go-to brand for performance and reliability. The company’s marketing has increasingly leaned on AI as both a creative tool and a performance enhancer, blending hardware innovation with machine learning to push boundaries in digital art, music, and film production.

Still, questions linger about the long-term growth potential of Apple’s hardware business as global smartphone and computer markets mature. Analysts suggest the M5-powered devices could give Apple a temporary boost in sales, but sustained growth will depend on the company’s ability to tie these innovations to new software ecosystems and services.

In the short term, Apple’s announcement has been well received by investors, with analysts noting that the company’s continued silicon innovation reinforces its premium market position even amid rising competition.

The U.S. Department of Justice has seized roughly $15 billion worth of bitcoin from wallets linked to a man prosecutors described as the ringleader of one of the largest cryptocurrency fraud schemes ever uncovered — a transnational criminal enterprise built on human trafficking, investment scams, and digital deception.

Federal prosecutors in Brooklyn, New York, said on Tuesday that the bitcoin belonged to Chen Zhi, also known as “Vincent,” a Chinese businessman and founder of the Prince Holding Group, a sprawling Cambodia-based conglomerate that, according to investigators, masked its global criminal operations behind legitimate corporate structures. The Justice Department said the seizure marks the largest forfeiture action in its history, underscoring the expanding scale and sophistication of international crypto-related financial crimes.

Zhi remains at large, but the unsealed indictment paints a grim picture of an empire built on exploitation and deceit. U.S. Attorney Joseph Nocella described him as the orchestrator of “one of the largest investment fraud operations in history,” adding that the scheme had “fueled an illicit industry that is reaching epidemic proportions.”

“Prince Group’s investment scams have caused billions of dollars in losses and untold misery to victims around the world, including here in New York, on the backs of individuals who have been trafficked and forced to work against their will,” Nocella said.

According to the DOJ, the Prince Group secretly evolved into one of Asia’s most powerful transnational criminal networks, with operations spanning over 30 countries. Prosecutors allege that under Zhi’s leadership, the group constructed and managed “forced-labor scam compounds” across Cambodia — sites where hundreds of people were trafficked, detained, and forced to participate in cryptocurrency scams.

The scams followed a pattern increasingly known worldwide as “pig butchering” — a term derived from the method of slowly “fattening” victims with fake affection and trust before financially “slaughtering” them. Fraudsters, often posing as romantic partners or investment advisers, would contact victims through social media or messaging apps. They would gradually persuade them to invest in supposedly high-return cryptocurrency opportunities. Once victims transferred their funds, the money was siphoned away, laundered, and hidden behind layers of digital accounts controlled by the syndicate.

“In reality, the funds were stolen from the victims and laundered for the benefit of the perpetrators,” the U.S. Attorney’s Office said in its statement. “The scam perpetrators often built relationships with their victims over time, earning their trust before stealing their funds.”

Investigators found that the scam’s victims spanned continents, including many from the United States. Prosecutors said losses from Prince Group’s crypto investment schemes reached billions of dollars, leaving a global trail of financial and emotional devastation.

But beyond financial fraud, the DOJ said the case exposed a darker underbelly — one that combined modern digital crime with traditional forms of human exploitation.

“Individuals held against their will in the compounds engaged in cryptocurrency investment fraud schemes,” the agency said, adding that many were “trafficked and forced to work under the threat of violence.”

These victims, according to prosecutors, were lured to Cambodia and neighboring countries with false promises of legitimate employment, only to have their passports seized and be subjected to forced labor. Inside the scam compounds, they were made to target unsuspecting people online, often under strict surveillance and coercion.

Prosecutors further allege that Zhi and other top executives within the Prince Group used their wealth and influence to insulate themselves from scrutiny. The indictment details how the group allegedly leveraged political connections and paid bribes to public officials in several countries to shield their operations from law enforcement. By exploiting local authorities, they managed to maintain the façade of a legitimate conglomerate even as their criminal enterprises expanded.

The Prince Group has long presented itself as one of Cambodia’s largest and most respected investment companies, with interests spanning real estate, finance, and hospitality. But the DOJ’s charges now threaten to dismantle that image, exposing what prosecutors describe as the organization’s “dual identity” — a corporate empire built on systemic criminality.

The DOJ’s record-breaking bitcoin seizure is not only a symbolic strike against the syndicate but also a milestone in the U.S. government’s growing ability to trace and confiscate illicit crypto assets. In recent years, law enforcement agencies have become increasingly adept at tracking blockchain transactions and identifying digital wallets linked to criminal networks, even when criminals attempt to use mixers or shell accounts to obscure the flow of funds.

The case also adds to a growing list of “pig butchering” crackdowns worldwide. In 2023 and 2024, several Asian governments, including Thailand, Laos, and the Philippines, conducted raids on compounds suspected of housing trafficking victims used in similar scams. Human rights groups have repeatedly warned that the problem is spreading rapidly across Southeast Asia, with Cambodia at its center.

The economic impact has been staggering. The FBI estimates that Americans alone lost over $3.5 billion to pig-butchering scams in 2023, and officials say the real figure could be far higher due to underreporting. Analysts warn that these scams are increasingly blending emotional manipulation with sophisticated digital laundering techniques, making them harder to detect and prosecute.

Experts say the DOJ’s massive seizure could mark a turning point in global crypto law enforcement — both as a deterrent and as a model for future international cooperation.

Walmart has entered a new phase in digital retail, announcing a partnership with OpenAI on Tuesday that will allow customers to purchase items directly through ChatGPT — a move that could redefine how millions of Americans shop online and mark a major step in the global fusion of retail and artificial intelligence.

The agreement, which positions Walmart as one of the first major U.S. retailers to integrate directly with ChatGPT’s shopping interface, will enable users to browse, discover, and buy products without leaving the chatbot. It represents a departure from the traditional search-and-scroll e-commerce model, ushering in a conversational, AI-driven shopping experience.

“For many years now, eCommerce shopping experiences have consisted of a search bar and a long list of item responses,” Walmart CEO Doug McMillon said in a statement. “That is about to change.”

He described the feature as “multi-media, personalized and contextual,” adding that Walmart is “running towards that more enjoyable and convenient future.”

The company did not specify when the integration would go live, but investors reacted positively to the announcement, sending Walmart’s shares up nearly 5% on Tuesday to a 52-week high. The move signals a new retail strategy focused on AI-enabled convenience and data-driven personalization, with Walmart seeking to keep pace with changing consumer behavior and OpenAI’s growing influence over digital shopping experiences.

AI Shopping Comes of Age

The Walmart-OpenAI collaboration comes as consumers increasingly turn to AI assistants, rather than search engines or retail sites, to make purchasing decisions. ChatGPT’s growing ability to understand preferences, recommend items, and execute purchases positions it as a new kind of commercial intermediary: one that blends conversation with commerce.

The partnership builds on OpenAI’s Instant Checkout feature, first unveiled in September, which allows users to make purchases within ChatGPT. Initially, the feature supported single-item transactions from Etsy sellers and was expected to expand to Shopify merchants, including brands like Skims and Glossier. Walmart’s inclusion now brings mainstream scale to that model.

Financial details were not disclosed, but OpenAI has said it charges companies transaction fees for purchases made through ChatGPT — giving the company a new revenue stream as it moves deeper into e-commerce.

India’s AI Payments Pilot

The Walmart deal follows a similar payment partnership with India. Earlier this month, OpenAI joined forces with the National Payments Corporation of India (NPCI) and fintech firm Razorpay to launch a pilot program introducing AI-powered payments through ChatGPT — a move widely viewed as a milestone in India’s fast-evolving digital finance ecosystem.

The initiative allows users to make purchases directly within ChatGPT using India’s Unified Payments Interface (UPI) — a homegrown system that already processes more than 20 billion transactions monthly. By linking ChatGPT to UPI, OpenAI effectively turned the chatbot into a smart payments assistant capable of executing instant peer-to-merchant transfers through simple voice or text commands.

The NPCI partnership also showcased how AI can enhance inclusivity in digital payments. Many first-time users in rural areas used ChatGPT’s multilingual support to navigate UPI transfers — an approach that could now be adapted for retail purchases in the U.S. and beyond.

How Walmart’s Integration Works

The ChatGPT-based shopping experience aims to simplify how customers find and buy items. Users can ask the chatbot for product recommendations — for example, “Find me an affordable coffee maker under $50,” or “What’s a good gift for a six-year-old?” — and ChatGPT will suggest Walmart items accordingly.

Through the Instant Checkout feature, customers can complete the purchase seamlessly within the chat interface, using stored payment and delivery information. The process mimics a natural conversation rather than a traditional digital transaction.

For Walmart, the deal is both defensive and strategic. As Amazon deepens its own AI investments and Google expands shopping capabilities in Gemini, Walmart’s integration with ChatGPT gives it direct access to a vast and growing audience of AI users. It also extends Walmart’s digital footprint beyond its own app and website, embedding it into a platform millions already use for decision-making and recommendations.

For OpenAI, the partnership aligns with its commercial ambitions. The company is transforming ChatGPT into a multifunctional platform that blends communication, productivity, and commerce — with Walmart now serving as its most visible retail partner to date.

The collaboration also demonstrates how OpenAI is localizing its technology for different markets.

Walmart’s Broader AI Strategy

On its part, Walmart has been steadily building its own AI capabilities. Its Sparky virtual assistant — already live in the Walmart app — uses machine learning to recommend products, manage shopping lists, and answer customer queries. The company also uses AI to forecast demand, optimize supply chains, and automate warehouse operations.

Analysts say Walmart’s collaboration with OpenAI adds an entirely new layer to that ecosystem — one that connects its backend AI systems directly to consumer-facing conversational interfaces.

A Shift in Retail Economics

The rise of conversational commerce could fundamentally change how brands compete for consumer attention. Instead of appearing in search results or paid listings, products will increasingly depend on AI recommendation algorithms — making visibility a function of contextual relevance rather than advertising spend.

However, that shift raises both opportunities and risks. Retailers integrated into ChatGPT may gain exposure to new audiences, but they will also need to adapt to how AI ranks, personalizes, and presents products.

Still, the potential market is enormous. According to McKinsey, conversational commerce could drive up to $290 billion in annual retail sales globally by 2030, as AI assistants become the dominant interface for digital transactions.

Walmart and OpenAI have not announced an exact launch date for the ChatGPT shopping integration, but sources close to the companies said a phased rollout is expected in early 2026. Walmart is expected to eventually link its own Sparky assistant to ChatGPT’s ecosystem, creating an interconnected AI retail network.

A Swiss court on Tuesday declared unlawful the decision to write off 16.5 billion Swiss francs ($20.53 billion) in Credit Suisse bonds during the bank’s emergency takeover by UBS, handing a major legal victory to investors who had accused authorities of acting without due process.

The ruling by Switzerland’s Federal Administrative Court struck at the heart of the controversial 2023 rescue engineered by the Swiss government and financial regulator FINMA, which shocked markets when it wiped out Credit Suisse’s Additional Tier 1 (AT1) bondholders while still compensating shareholders. The court said the move violated bondholders’ property rights, as it lacked a “clear and formal legal basis.”

The landmark judgment — which FINMA and the finance ministry said they are now reviewing — could expose Switzerland’s banking authorities and UBS to years of litigation and potential compensation claims running into billions.

A Blow to Swiss Regulators

FINMA’s unprecedented decision last year to erase the AT1 bonds stunned global investors and triggered widespread accusations that Switzerland had undermined the very principles that made its financial system a global haven. Regulators effectively reversed the traditional capital hierarchy in banking law by prioritizing shareholders over bondholders.

“It considered that the bondholders’ property rights were seriously interfered with, which would have required a clear and formal legal basis. But no such basis existed,” the court said.

The decision sent UBS shares tumbling more than 3.5%, as investors digested the potential financial and regulatory fallout. UBS, which has since absorbed Credit Suisse’s assets and liabilities, faces tougher post-merger capital rules that may now become more politically charged.

Peter V. Kunz, a business law professor at the University of Bern, said the court’s decision could force the re-issuance of the bonds after what he predicted could be a six-year legal process.

The 2023 Shock and Its Aftermath

When Swiss authorities brokered UBS’s takeover of Credit Suisse in March 2023, they justified the AT1 write-off as necessary to stabilize the financial system. At the time, Credit Suisse was teetering on the brink of collapse amid a crisis of confidence and massive deposit withdrawals following years of scandals, losses, and poor governance.

Under the terms of the emergency merger, Credit Suisse shareholders received UBS stock worth about $3.25 billion, while AT1 bondholders were left with nothing — a move that broke with global norms.

The decision triggered more than 3,000 complaints from investors in around 360 separate cases, as law firms mobilized to challenge FINMA’s decree both in Switzerland and abroad. Some investors even sought redress under bilateral treaties through investor-state arbitration.

The bonds in question — AT1 instruments introduced after the 2008 financial crisis — were designed to absorb losses when a bank’s capital fell below certain thresholds. But investors argued that the conditions for a total write-off were never met and that FINMA overstepped its authority.

Global Financial Implications

The case has become a test of investor confidence in the Swiss legal and regulatory system, which had long been viewed as one of the most predictable in the world.

“The decision is a step to restore investor confidence in the Swiss legal system,” said Zurich-based lawyer Jonas Hertner, who has represented Credit Suisse AT1 bondholders. “Under Swiss law, expropriation requires full compensation. This decision essentially holds that bondholders were expropriated.”

While analysts expect FINMA and UBS to appeal to Switzerland’s Supreme Court, the ruling has already reverberated through the global banking industry. Regulators in the European Union and the United Kingdom, keen to avoid similar market turmoil, were quick last year to reaffirm that in their jurisdictions, shareholders would always take losses before bondholders.

Even if investors ultimately prevail, analysts warn that compensation may fall far short of the nominal CHF 16.5 billion.

“The repayment, if an appeal is unsuccessful, could be much less than the full 16 billion, as the market value of the bonds was much less than their nominal value at the time of the rescue,” said Hans Gersbach, a banking and economics professor at ETH University in Zurich.

Still, the court’s finding that Swiss authorities lacked a legal basis for their action is likely to reshape how the country manages future bank crises. It could also embolden bondholders in similar disputes globally, where governments have intervened heavily in the financial sector.

As UBS continues integrating Credit Suisse’s operations, the specter of renewed litigation adds to the challenges facing Chief Executive Sergio Ermotti, who has sought to portray the merger as a strategic success.

However, the ruling leaves Switzerland’s financial establishment facing an uncomfortable reckoning — one that reopens wounds from a crisis that authorities had hoped was firmly in the past.

Google has unveiled a new Gemini AI-powered “Help me schedule” feature designed to make it easier for professionals to find time for meetings without leaving Gmail.

The feature, which began rolling out this week, automatically suggests suitable time slots based on a user’s Google Calendar availability and the context of the email being written — further deepening Google’s integration of artificial intelligence across its Workspace suite.

The new feature, powered by Google’s Gemini 1.5 Pro model, appears directly within the Gmail compose window when the system detects that the user is trying to schedule a meeting. Clicking the “Help me schedule” prompt opens an interface showing recommended time slots, which can be inserted into an email with one click. Gemini uses the text of the email to infer the meeting’s duration and timing preferences — for instance, if a user types, “Let’s find 30 minutes next week to discuss,” the AI automatically searches the calendar for matching 30-minute windows.

Once the recipient selects one of the suggested slots, Google Calendar immediately books the meeting for both parties, saving users from the familiar back-and-forth exchanges that often delay scheduling. Users can also edit Gemini’s recommendations or add more options before sending them.

At launch, the “Help me schedule” tool supports only one-on-one meetings, though Google says it plans to expand it to handle group scheduling later. The feature is available to Google Workspace users, as well as Google AI Pro and AI Ultra subscribers, as part of the company’s ongoing effort to infuse Gemini into everyday productivity workflows.

The rollout adds to Gmail’s growing list of AI tools, including email summarization, smart reply suggestions, and the “Add to Calendar” button that automatically appears when Gemini detects time-related events in messages.

A step further into context-aware AI

According to Google, “Help me schedule” is more than just a convenience tool — it’s a demonstration of what context-aware AI can achieve in real time. By analyzing the intent of a user’s email, Gemini can move from being a passive assistant to an active participant in day-to-day productivity.

In a statement accompanying the launch, Google described the update as part of its “mission to remove small but persistent productivity barriers.” The company said AI’s ability to interpret user intent — rather than rely on specific commands — marks a turning point in how professionals will interact with digital assistants.

Some analysts agree that the shift toward intent-based AI automation is accelerating, especially as companies race to turn generative AI from a novelty into a workplace necessity.

Part of a broader Gemini rollout

The scheduling feature extends Google’s Gemini for Workspace strategy, a multi-year initiative to embed AI across Gmail, Docs, Sheets, Meet, and Chat. Earlier this year, Google rolled out “Help me write” in Docs — an AI tool that drafts emails, reports, or proposals using brief prompts. In Sheets, Gemini can analyze datasets, generate trackers, or summarize trends. In Meet, it provides live meeting summaries and auto-generated follow-up notes.

All of these updates reflect Google’s bid to position Gemini as the backbone of its productivity ecosystem — one capable of rivaling Microsoft’s Copilot across Office 365.

The growing AI rivalry with Microsoft

Microsoft has been integrating Copilot, its generative AI assistant powered by OpenAI’s GPT-4, into Word, Excel, Outlook, and Teams. Copilot already offers similar scheduling automation inside Outlook, letting users automatically generate time proposals and draft follow-up messages.

But Google’s approach differs in its deep contextual integration. Rather than relying solely on structured commands, Gemini interprets unstructured text and user intent, allowing a more fluid interaction within Gmail. That difference, experts say, could help Google carve out an advantage among professionals who spend much of their time in email communication rather than across multiple apps.

The competition between the two tech giants has intensified since late 2023, when both began racing to embed generative AI tools into enterprise software. Microsoft’s early access to OpenAI’s models gave it an initial edge, but Google’s Gemini rollout across Workspace — now available to hundreds of millions of users — has helped it close the gap.

Security and privacy measures

Google has emphasized that Gemini’s scheduling function operates securely within its existing cloud environment. Like its other Workspace AI features, no data leaves the company’s firewall, and user information is not used to train Gemini’s models.

The company has framed privacy assurances as a critical part of its AI adoption strategy, especially as corporate clients become more cautious about how generative AI handles sensitive information.

With the “Help me schedule” update, Google is signaling a future in which AI assistants act more like digital coworkers — capable of understanding work context, anticipating needs, and taking action without explicit direction.

As Google and Microsoft continue to push generative AI deeper into workplace tools, the race is less about who builds the smartest chatbot and more about who builds the most useful one — the one that fits seamlessly into users’ daily workflow.

For now, Gmail’s Gemini-powered “Help me schedule” is another small but strategic step in that direction — a sign that the future of productivity may not lie in new apps, but in smarter, more intuitive ones.