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SanDisk (SNDK) Gains Nasdaq-100 Entry After 2,640% Rally as Wall Street Upgrades Pour In

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SNDK Stock Card

Key Takeaways

  • Nasdaq-100 will add SanDisk (SNDK) and remove Atlassian (TEAM) effective April 20, 2026
  • Wall Street analysts boost price objectives: Jefferies to $1,000, Bernstein to $1,250
  • The memory stock has exploded 2,640% in twelve months, hovering near $855 peak
  • Company commits $1 billion to Nanya Technology partnership, securing roughly 3.9% ownership
  • Strengthening NAND pricing and artificial intelligence applications drive bullish outlook

 

SanDisk (SNDK) has secured a coveted spot in the Nasdaq-100, marking a significant milestone for the memory storage giant. The exchange operator confirmed Friday evening that SanDisk will join the prestigious index when markets open on April 20, 2026, taking the place currently held by Atlassian (TEAM).


SNDK Stock Card
Sandisk Corporation, SNDK

This elevation places SanDisk within the exclusive group of the Nasdaq’s 100 biggest non-financial corporations—a designation that carries substantial market implications.

The Nasdaq-100 serves as the foundation for more than 200 investment vehicles, including the widely-held Invesco QQQ Trust. These tracking products collectively manage north of $600 billion worldwide, ensuring that index rebalancing events generate significant automated capital flows.

For SanDisk, inclusion means guaranteed inflows as index-tracking funds recalibrate their portfolios. Conversely, Atlassian will experience programmatic selling as it exits the benchmark. The software collaboration platform makes way as the index composition tilts toward semiconductor and infrastructure companies.

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SanDisk’s addition reflects the existing Nasdaq-100 selection criteria, which remain active until April 30, 2026. Market participants are closely monitoring anticipated weighting adjustments before the April 20 implementation.

Wall Street Elevates Expectations

The index announcement arrives amid intensifying bullish sentiment from equity research teams covering SNDK.

Jefferies upgraded its valuation target from $700 to $1,000 while maintaining its Buy recommendation. The investment bank highlighted ongoing customer contract discussions and artificial intelligence infrastructure buildout as factors supporting continued NAND pricing strength and upward earnings adjustments before SanDisk’s quarterly report scheduled for April 30.

Jefferies analyst Blayne Curtis constructed the four-figure price objective using a 10x earnings multiple against projected 2028 earnings per share of $95.26. Curtis also identified forthcoming QLC eSSD deliveries to two major cloud providers as potential catalysts for expanding data center market position.

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Bernstein took an even more aggressive stance, escalating its target from $1,000 to $1,250. The firm retained its Outperform rating, emphasizing that NAND flash pricing has exceeded prior expectations as the primary justification.

Morgan Stanley reaffirmed its Overweight stance after recent volatility in semiconductor memory equities, characterizing the pullback as routine consolidation rather than fundamental deterioration. BofA Securities maintained its Buy rating with a $900 valuation, highlighting robust appetite from hyperscale cloud operators and AI inference workloads.

Remarkable Performance and Strategic Investments

SNDK has delivered extraordinary returns. The shares have rocketed 2,640% during the trailing twelve months and currently change hands around $851.77, marginally beneath the 52-week peak of $855. InvestingPro’s Fair Value framework suggests current pricing exceeds intrinsic value.

Consensus estimates project fiscal 2026 earnings per share reaching $42.37, with profitability expected throughout the current year.

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On the strategic front, SanDisk disclosed a $1 billion capital commitment to Nanya Technology via private placement. The transaction delivers approximately 139 million Nanya shares to SanDisk, equating to roughly 3.9% of the memory manufacturer’s equity.

SanDisk executives have not issued revised financial guidance in recent investor communications.

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Crypto World

Top Quantum Computing Stocks for 2026: IonQ, IBM, and Microsoft Lead the Charge

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IONQ Stock Card

Key Highlights

  • IonQ achieved a groundbreaking 99.99% fidelity world record and targets millions of qubits by 2030.
  • IBM earned a “Perfect 10” Smart Score rating on TipRanks with Moderate Buy consensus and analysts projecting 40.49% upside.
  • Microsoft’s Majorana 1 chip powers chemistry research applications and carries a Strong Buy rating with 56.62% potential upside.
  • Alphabet’s Google released research suggesting blockchain encryption could be compromised by quantum algorithms as early as 2029.
  • Industry analysts forecast the quantum computing sector will surge from $1.42 billion in 2024 to $4.24 billion by 2030.

Quantum computing has transitioned from theoretical research into tangible commercial applications at an accelerating pace. For investors monitoring this emerging sector, three companies emerge as particularly compelling: IonQ, IBM, and Microsoft.

The quantum computing industry reached a valuation of $1.42 billion in 2024. Market researchers anticipate this figure will climb to $4.24 billion by the decade’s end. Such explosive expansion is attracting enterprise clients, lucrative government partnerships, and substantial capital investments.

IonQ: Prioritizing Precision Over Speed

IonQ has established itself as the premier pure-play quantum computing enterprise. The company’s technology recently achieved an unprecedented 99.99% fidelity rating in industry-standard benchmarking tests—a global achievement.


IONQ Stock Card
IonQ, Inc., IONQ

Precision represents the fundamental obstacle preventing quantum computing’s mainstream adoption. Systems plagued by frequent computational errors cannot deliver reliable results for practical applications.

IonQ’s approach centers on trapped ion technology. This methodology prioritizes exceptional accuracy over raw processing velocity, contrasting sharply with the superconducting architectures favored by competitors.

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The organization’s 2026 roadmap includes deploying a 256-qubit architecture. Looking further ahead, IonQ aims to construct million-qubit systems by 2030. Successfully achieving these milestones while maintaining current accuracy standards could position the company as dominant in precision-dependent sectors.

IonQ’s quantum systems are accessible through partnerships with Amazon Web Services, Microsoft Azure, and Google Cloud. The company currently commands approximately $11 billion in market capitalization.

IBM: Bridging Quantum and Traditional Computing

IBM has charted a distinctive strategic course. Instead of solely pursuing qubit quantity, the tech giant emphasizes integrating quantum capabilities into established enterprise infrastructure.


IBM Stock Card
International Business Machines Corporation, IBM

IBM’s development strategy centers on hybrid architectures where conventional CPUs, GPUs, and quantum processors operate cohesively. Industry experts consider this integration model the most viable pathway toward immediate commercial viability.

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TipRanks analysts awarded IBM the platform’s maximum Smart Score of 10 out of 10. The stock maintains a Moderate Buy consensus rating, with Wall Street projecting 40.49% appreciation potential.

IBM leverages its extensive enterprise computing heritage and established client relationships, providing immediate market access for quantum services. The company’s development pipeline emphasizes enhanced qubit coherence and sophisticated error correction protocols.

Microsoft: Strategic Innovation with Transformative Potential

Microsoft has maintained a relatively understated public profile regarding quantum achievements compared to rivals like Google or IonQ. Nevertheless, its Majorana 1 quantum processor is delivering measurable outcomes.


MSFT Stock Card
Microsoft Corporation, MSFT

The processor currently facilitates advanced chemistry research, enabling quantum simulations of intricate molecular behaviors that exceed classical computing capabilities. CEO Satya Nadella has characterized quantum technology as the forthcoming catalyst for cloud computing evolution.

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Microsoft’s research concentrates on topological qubit architectures—a forward-looking methodology promising superior stability compared to existing quantum systems. The company’s Azure Quantum platform seamlessly embeds quantum capabilities into corporate computing environments.

Wall Street analysts assign Microsoft a Strong Buy recommendation with 56.62% upside potential. The stock holds a Smart Score of eight out of ten on TipRanks.

Alphabet’s Google division released 2025 research demonstrating an algorithm potentially capable of compromising contemporary blockchain encryption protocols in minutes—possibly operational by 2029. This revelation emphasizes the remarkable velocity of quantum computing advancement.

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AI’s Impact on Employment Clashes With C-suite Optimism

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AI’s Impact on Employment Clashes With C-suite Optimism

In March, the US jobs market recorded 178,000 new jobs, marking little change from the month before, according to the Bureau of Labor Statistics. 

The anemic growth in job listings comes amid volatile policy swings from the White House, increased energy prices due to the US and Israel’s war with Iran and, according to recent research, AI disruptions to the labor market. 

Proponents of AI and large language models have claimed that the tech will bring about an economic boom, thanks to the promise of efficiency breakthroughs. 

But as AI becomes more integrated into daily business operations, there is a widening gulf between that promise of growth and efficiency, and what is actually happening. 

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AI dampens employment growth

On March 6, venture capitalist and Netscape co-founder Marc Andreessen said on X that fears about AI job displacement were overblown. 

Source: Marc Andreessen

He also posted an article from Business Insider stating that, at least in tech, job openings are on the rise. Citing data from TrueUp, a tech jobs tracker, Business Insider said that job openings at tech companies have doubled to 67,000 since 2023.  

But openings don’t necessarily translate to hiring. According to the Bureau of Labor Statistics, most employment growth in March did not happen in the tech industry. Of the 178,000 new jobs added in March, healthcare employed 76,000, construction grew by 26,000, transportation and warehousing added 21,000 and employment in social assistance increased by 14,000.  

While the report doesn’t have a single section tracking the tech industry, related services like computing infrastructure providers and web search portals saw a 1,500 job decrease, or almost no change, respectively. Computer systems design and related services lost 13,000 jobs.

Related: Jack Dorsey’s Block to cut 4,000 jobs in AI-driven restructuring

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AI has actually axed 16,000 jobs per month over the past year, according to a recent report from Goldman Sachs, as cited by Fortune. In particular, AI has led to a collapse in hiring for entry-level roles. A 2025 study from SignalFire found that new grad hiring had dropped 50% compared to pre-COVID-19 pandemic levels. 

Source: SignalFire

“The door to tech once swung wide open for new grads. Today, it’s barely cracked. The industry’s obsession with hiring bright-eyed grads right out of college is colliding with new realities: smaller funding rounds, shrinking teams, fewer new grad programs, and the rise of AI,” the SignalFire study stated. 

This disruption could create ripples far into the future. According to Goldman Sachs, “AI-driven displacement could impose lasting costs on affected workers, worsening labor market outcomes for several years.”

“A key mechanism behind these worse outcomes is occupational downgrading. Workers displaced by technology are more likely to move into more routine occupations requiring fewer analytical and interpersonal skills, likely because the same technological shifts that eliminated their positions also eroded the value of their existing skills,” they continued

These job losses are justified by the theory that AI will, at the very least, make workplaces more productive. But even that isn’t a given.

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Reality of AI use clashes with C-suite expectations

Executives are still overwhelmingly supportive of AI. According to Harvard Business Review, 80% of leaders report weekly use of AI, with 74% reporting positive returns on early deployments. 

But workers don’t feel the same. A study from HR consulting firm Mercer found that, for 43% of workers, their job is more frustrating. 

One major issue is the number of mistakes churned out by generative AI. “For every 10 hours of efficiency gained through AI, nearly four hours are lost to fixing its output,” a Workday report stated. 

AI can also be used to offload labor onto coworkers in what researchers at the Harvard Business Review have called “workslop” i.e., “content that appears polished but lacks real substance, offloading cognitive labor onto coworkers.”

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They said that “41% of workers have encountered such AI-generated output, costing nearly two hours of rework per instance and creating downstream productivity, trust, and collaboration issues.”

According to Workday, only 14% of respondents to their survey said they “consistently achieve net-positive outcomes from AI use.”

Part of the gulf between executives’ understanding of AI and the reality at the productive level may be explained by the technology itself. 

Per the Harvard Business Review, “Senior leaders tend to use AI for high-level synthesis, strategic drafting, and decision support, tasks where the technology performs well, so the current capabilities tend to benefit their work.”

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For messier day-to-day operations like “workflows built over years, teams with uneven technical comfort, output that has to be consistently right, not just fast,” it doesn’t work so well. 

“When the tool works, both groups understand and reap the benefits. When it fails, typically only one of them has to cope with the aftermath.”

Many still don’t think that AI can handle complex tasks. Source: MIT

Brian Solis, the head of global innovation at enterprise AI firm ServiceNow, said that this divide has created an “AI tax,” i.e., “More checking. More rework. More anxiety. Faster pace. AI slop. Less trust.” 

Andreessen may not believe that the AI job-cut narratives are real, but OpenAI does. The AI company has acknowledged the impact the technology has on employment, and has even released a series of policy proposals to address it.

The list contains ideas that are “intentionally early and exploratory” that serve as a “a starting point for discussion that we invite others to build on.” It includes proposals to expand healthcare coverage, retirement savings and setting a new industrial policy agenda. 

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Far from Andreessen’s optimism, OpenAI’s proposal included a warning: “Unless policy keeps pace with technological change, the institutions and safety nets needed to navigate this transition could fall behind.”

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