Shares of Intel soared 14% Tuesday, extending a remarkable resurgence that has transformed the once-struggling chipmaker into one of Wall Street’s hottest AI and manufacturing plays.

The rally followed a Bloomberg report that Apple has held early discussions with Intel and Samsung about manufacturing processors for devices sold in the United States, potentially loosening Apple’s heavy reliance on Taiwan Semiconductor Manufacturing Company.

Although the talks remain preliminary, investors interpreted the development as a major endorsement of Intel’s effort to reestablish itself at the center of the global semiconductor supply chain.

The market reaction highlights how rapidly sentiment around Intel has shifted. Long viewed as one of the biggest casualties of the AI boom after years of manufacturing setbacks and lost market share, the company is now benefiting from an explosive combination of geopolitical realignment, government backing, and surging demand for AI infrastructure.

The latest jump follows Intel’s strongest month since joining the Nasdaq more than five decades ago. Shares surged 114% in April alone, pushing the company’s valuation beyond $470 billion and cementing one of the most dramatic reversals in the technology sector.

At the core of the optimism is the belief that the semiconductor industry is entering a new phase in which supply-chain resilience matters almost as much as technological superiority.

For years, Apple relied overwhelmingly on Taiwan-based TSMC for advanced chip production. But escalating geopolitical tensions involving China and growing fears over disruptions to Asian semiconductor supply chains have intensified pressure on major American technology firms to diversify manufacturing footprints.

An Intel-Apple partnership, if formalized, would represent a significant step toward reshoring critical semiconductor production capacity to the United States. The talks also align closely with Washington’s broader industrial policy push aimed at reducing dependence on foreign chip manufacturing. Semiconductor production has increasingly become a national security issue as artificial intelligence, cloud computing, and defense technologies become more strategically important.

The U.S. government’s decision last year to acquire a nearly 10% stake in Intel through an $8.9 billion investment now appears increasingly consequential. At the time, critics questioned whether the intervention could revive a company that had fallen behind rivals in advanced chip manufacturing.

Since then, however, Intel has emerged as a major beneficiary of the global AI spending boom. Chief Executive Lip-Bu Tan has aggressively repositioned the company around advanced manufacturing, AI infrastructure, and foundry services. During Intel’s recent earnings call, Tan described central processing units as “an indispensable foundation of the AI era,” arguing that CPUs remain critical even as demand surges for specialized AI accelerators.

That strategy appears to be resonating with investors who increasingly view the AI race as requiring a vast ecosystem of processors, servers, memory systems, networking infrastructure, and manufacturing capacity rather than reliance on a single category of chips.

Intel’s revival has also been aided by a series of strategic partnerships and acquisitions designed to strengthen its manufacturing footprint. Last month, the company announced an expansion of its collaboration with Google and joined Elon Musk’s Terafab initiative, a project aimed at scaling AI infrastructure and next-generation manufacturing technologies.

Intel also moved to consolidate ownership of its Irish fabrication operations by agreeing to purchase the remaining 49% stake in its Fab 34 facility for $14.2 billion. Analysts view the move as part of a broader effort to secure tighter control over advanced production assets amid intensifying global chip competition.

The AI boom itself has radically changed the outlook for semiconductor firms. Explosive demand for generative AI models has triggered unprecedented spending on data centers and computing infrastructure across the technology industry. Major cloud providers, including Microsoft, Amazon, Alphabet, and Meta, are collectively expected to spend hundreds of billions of dollars this year expanding AI infrastructure.

That investment wave has broadened investor interest beyond Nvidia, whose graphics processors currently dominate AI training workloads, to include companies capable of supplying the wider computing backbone needed to power artificial intelligence systems.

Intel has also benefited from support within the industry. Nvidia announced a $5 billion investment in Intel last year, a move interpreted by analysts as a signal that even rivals see value in strengthening U.S.-based semiconductor manufacturing capacity.

For Apple, exploring Intel as a manufacturing partner could carry both commercial and political advantages. A domestic production arrangement could help shield the company from future disruptions tied to Taiwan or broader U.S.-China tensions. It may also strengthen Apple’s standing with the Trump administration, which has repeatedly pressured major corporations to increase domestic manufacturing and reduce overseas dependency.

President Donald Trump recently celebrated Intel’s stock rally, arguing that the government’s investment strategy had generated substantial gains while helping rebuild America’s semiconductor base.

However, Intel still faces intense competition from TSMC and Samsung, both of which maintain deep expertise in advanced chip fabrication. The company is attempting one of the most difficult turnarounds in the technology sector while navigating enormous capital requirements and rapidly evolving AI demand.

Even so, Wall Street’s reassessment of Intel suggests investors increasingly believe the company has regained relevance at a moment when semiconductors sit at the center of the global economy, geopolitical rivalry, and the race to dominate artificial intelligence.

Bullish, the Peter Thiel-backed cryptocurrency exchange led by former NYSE President Thomas Farley, announced Tuesday it will acquire regulated transfer agent Equiniti in a $4.2 billion deal aimed at building critical infrastructure for the tokenization of traditional assets.

The transaction marks one of the most significant moves yet by a major crypto platform to integrate with established capital markets infrastructure. By acquiring Equiniti, Bullish gains a licensed, regulated entity that maintains shareholder records for public companies, a key missing piece for institutional adoption of blockchain-based securities.

Shares of Bullish fell around 6% in premarket trading, indicating investor caution over the size of the deal and potential execution risks.

“This is a once-in-a-generation shift in how capital markets operate,” Farley said in a statement.

The acquisition, he added, provides “the blue-chip issuer relationships” necessary to scale tokenization effectively.

The deal is structured as roughly $1.85 billion in assumed debt and $2.35 billion in Bullish stock. Bullish is buying Equiniti from private equity firm Siris Capital, which acquired the business in 2021. The transaction is expected to close in January 2027, subject to regulatory approvals.

Equiniti is a major player in the shareholder services space. It processes approximately $500 billion in annual payments and supports more than 20 million verified shareholders. For Bullish, the acquisition delivers an established regulated entity with deep relationships across corporate issuers, something many crypto-native platforms have lacked.

As markets move toward blockchain-based settlement and tokenization of stocks, bonds, and real estate, the lack of compliant infrastructure has been a major barrier for large institutions. Traditional transfer agents were built for legacy systems, while pure crypto platforms often lack the regulatory licenses and trust required by blue-chip companies. Bullish aims to bridge that gap.

Farley, who brings deep traditional finance credentials from his time at the New York Stock Exchange, is positioning Bullish as more than just another crypto trading venue. The company is betting that combining crypto technology with regulated infrastructure will accelerate mainstream institutional participation in digital assets.

Bullish, which went public in 2025, said it expects annual revenue growth of 6% to 8% from 2027 through 2029, alongside more than $100 million in annual growth in EBITDA less capital expenditures. The company believes the Equiniti deal will strengthen its position as tokenization gains traction.

The announcement comes as dealmaking in the broader market has begun to rebound in 2026 after a sluggish start, with easing geopolitical uncertainty helping restore boardroom confidence in mergers and acquisitions.

For Bullish, the move represents a significant departure from pure crypto trading toward building a more comprehensive capital markets platform. It also highlights a growing trend of crypto-native companies seeking to acquire regulated businesses to gain credibility and operational capabilities in traditional finance.

Despite the logic, the deal reveals potential challenges. Bullish is using a substantial portion of its equity to fund the transaction, which could dilute existing shareholders. The 6% drop in premarket trading suggests some investors are wary about the premium paid and the integration challenges ahead.

Equiniti’s business, while stable, grows relatively slowly compared to high-flying crypto businesses. Successfully merging a traditional financial services company with a crypto-first culture will require careful management. Regulatory scrutiny is also likely to be intense given the intersection of crypto and public market infrastructure.

Still, the acquisition gives Bullish something few other crypto exchanges possess: a regulated, licensed transfer agent with established corporate relationships. In a world increasingly exploring the tokenization of real-world assets, that infrastructure could prove extremely valuable.

Farley and his team are making a clear bet — that the future of capital markets lies in the convergence of blockchain technology and traditional finance, and that owning the rails for shareholder record-keeping will be a critical competitive advantage.

PayPal is embarking on one of the most sweeping restructurings in its modern history, betting that artificial intelligence can revive growth, slash costs, and reposition the payments giant after years of declining market value, slowing expansion, and mounting competitive pressure.

During the company’s first-quarter earnings call, CEO Enrique Lores delivered an unusually candid assessment of the company’s position, telling investors PayPal must “recommit to the fundamentals,” including “becoming a technology company again.”

The remarks amounted to a public acknowledgment that PayPal, once viewed as one of Silicon Valley’s defining fintech innovators, believes it has fallen behind in the AI race reshaping the technology sector.

“There was no need to read between the lines,” analysts noted after the call, as executives repeatedly framed artificial intelligence as central to PayPal’s turnaround strategy.

Lores said the company is accelerating efforts to modernize its infrastructure, migrate more aggressively toward cloud-native systems, and integrate AI into core operations, beginning with software development.

“We are aggressively adopting AI in our development processes,” he told analysts, arguing the move would improve developer productivity and reduce the time needed to launch products.

The admission stood out because AI-assisted coding has become one of the fastest-growing use cases in enterprise technology over the past year, with many major software firms already deeply integrating generative AI into engineering workflows.

Several technology companies have publicly embraced AI-generated coding tools at scale. Spotify said earlier this year that some of its top developers had not manually written code in months, while firms across Silicon Valley increasingly track employee AI usage through so-called “tokenmaxxing,” an informal metric tied to how extensively developers use large language models.

Against that backdrop, PayPal’s comments suggested the company is only now moving from experimentation to full-scale AI integration.

To drive the transition, PayPal has created a new “AI transformation and simplification” division reporting directly to Lores. The group will oversee the integration of AI across the company’s operational structure, including engineering, customer service, fraud detection, support operations, and risk management.

Lores stressed that the company’s ambitions go beyond simply deploying AI tools.

“This is not about adopting AI as a technology, where we have done many pilots in the company, and we have seen what is possible,” he said. “It’s really about understanding how can we redesign the key processes … this is what we have seen that really will drive significant savings.”

The language underlines a growing trend across corporate America, where companies are increasingly moving from AI experimentation toward operational redesign. Rather than treating AI as an add-on productivity tool, firms are restructuring workflows, management layers, and staffing models around automation capabilities.

At PayPal, those changes are expected to come with high human costs. The company plans to reduce its workforce by roughly 20% over the next two to three years, according to a Bloomberg report published Tuesday. That could translate into more than 4,500 job cuts.

Lores framed the layoffs as part of a broader effort to simplify the company’s organizational structure and eliminate unnecessary layers of management. Combined with the AI-driven restructuring, PayPal expects at least $1.5 billion in savings over the next several years.

PayPal’s turnaround effort comes after years of deteriorating investor confidence. Although the company reported first-quarter revenue of $8.4 billion, up 7% year-over-year and ahead of expectations, weak second-quarter guidance rattled markets and pushed the stock lower.

The company’s shares remain more than 80% below their 2021 peak, pointing to broader concerns about slowing user growth, intensifying competition, and the fading pandemic-era digital payments boom that once propelled fintech valuations to record highs.

PayPal is also confronting pressure from a rapidly changing payments landscape where competitors ranging from Apple and Block to banks and buy-now-pay-later providers are aggressively expanding digital finance offerings. At the same time, AI is increasingly becoming a differentiator in fraud prevention, customer targeting, and transaction analytics, areas crucial to maintaining margins in digital payments.

Last week, PayPal announced a broader corporate reorganization aimed at streamlining operations into three divisions: checkout solutions and PayPal, consumer financial services including Venmo, and payment services and crypto.

The separation of Venmo into a standalone reporting structure immediately fueled speculation that PayPal could eventually spin off or sell the business, long viewed as one of the company’s most valuable assets.

When asked directly whether the restructuring opened the door to a future sale, Lores declined to rule it out.

“For now, this is what made the most sense in terms of the turnaround plan,” he said, before adding: “My number one priority is to maximize shareholder value.”

The remark is likely to intensify investor speculation around potential asset sales, partnerships, or other alternatives if PayPal’s turnaround fails to accelerate growth quickly enough. The company now finds itself at a crossroads, confronting much of the technology industry: adapt rapidly to an AI-driven operating model or risk falling further behind more agile competitors already embedding automation deep into their businesses.

The challenge is especially acute for PayPal because its brand was built on technological disruption. Two decades after helping define online payments, the company is now openly acknowledging it must reinvent itself once again to remain relevant in an AI-dominated era.