IBM unveils sub-1nm chip technology with 100bn transistors

1 min read     Updated on 26 Jun 2026, 12:24 AM
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AI Summary

International Business Machines Corp. unveiled a sub-1nm chip technology with 100 billion transistors, offering 50% higher performance or 70% better energy efficiency. The stock trades below its 20-day SMA, with a consensus Buy rating and a price target of $301.07 ahead of July 22 earnings.

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International Business Machines Corp. on Thursday unveiled the world's first sub-1-nanometer chip technology, introducing a new three-dimensional nanostack transistor architecture designed to extend semiconductor scaling beyond current manufacturing limits. The 0.7-nanometer chip packs nearly 100 billion transistors onto a fingernail-sized chip, nearly doubling the density of its 2-nanometer chip introduced in 2021. The technology could deliver up to 50% higher performance or 70% greater energy efficiency than its 2-nanometer chips, with potential applications in AI, cloud computing, and next-generation electronics. The company expects the earliest commercial adoption of the technology within the next five years.

Technical Performance

IBM stock is trading lower on Thursday. The stock is trading 2.7% above its 50-day simple moving average of $252.38 and 2.5% above its 100-day SMA of $252.98. However, the stock remains 6.9% below its 20-day SMA of $278.54 and 5.3% below its 200-day SMA of $273.66. The stock’s relative strength index stands at 46.88, indicating neutral momentum. Key resistance is near $260.50, while support is around $212.50.

Earnings And Analyst Outlook

The company’s next major catalyst is its scheduled July 22 earnings report. Analysts expect earnings of $3.01 per share on revenue of $17.86 billion, up from $2.80 per share and $16.98 billion, respectively, a year earlier. The stock carries a consensus Buy rating with an average price forecast of $301.07. Recent analyst actions include JPMorgan upgrading IBM to Overweight with a $291 price forecast, Morgan Stanley raising its Equal-Weight price forecast to $267, and Citigroup maintaining its Buy rating while lifting its price forecast to $375.

Metric Value
20-day SMA $278.54
50-day SMA $252.38
100-day SMA $252.98
200-day SMA $273.66
Relative Strength Index 46.88
Key Resistance $260.50
Key Support $212.50
Consensus Price Target $301.07

How will competitors like TSMC and Intel respond to IBM's breakthrough in sub-1-nanometer chip technology?

What are the potential manufacturing challenges and costs associated with scaling this technology for mass production?

Could this technological advancement significantly boost IBM's revenue in the AI and cloud computing sectors within the next five years?

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IBM stock rises on Trump praise, JPMorgan upgrade

2 min read     Updated on 23 Jun 2026, 06:37 PM
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Reviewed by
Ashish TScanX News Team
AI Summary

International Business Machines Corporation stock rose over 4% in premarket trading following President Trump's praise of CEO Arvind Krishna and a JPMorgan upgrade to Overweight. The firm announced a $1 billion federal match for a quantum foundry and joined OpenAI's cyber program. IBM reports Q2 earnings on July 22.

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International Business Machines Corporation stock rose more than 4% in Tuesday’s premarket trading after President Donald Trump praised the company during a White House quantum technology event and JPMorgan upgraded the stock to Overweight. The stock outperformed a weak broader market, with Nasdaq futures falling 2.66% and S&P 500 futures down 1.30%. JPMorgan upgraded IBM to Overweight from Neutral and raised its price forecast to $291 from $270, citing confidence in the company’s artificial intelligence and software strategy.

Federal backing boosts IBM vision

Trump’s praise for Krishna follows a series of strategic moves by the administration to bolster America’s position in the global tech race. The Commerce Department recently moved to award roughly a total of $2 billion to quantum tech companies under the CHIPS and Science Act, including $1 billion for IBM to establish a quantum foundry in Albany, New York. IBM matched the federal funding with its own $1 billion investment. IBM also announced a $10 billion investment in quantum computing over five years, aiming to build the world’s first large-scale, fault-tolerant quantum computer by 2029.

Entity Funding/Investment Purpose
IBM $1 billion Establish quantum foundry in Albany, New York
IBM $1 billion Match federal funding for quantum foundry
IBM $10 billion Quantum computing investment over five years
Commerce Department $2 billion Awards to quantum tech companies under CHIPS and Science Act

IBM joins OpenAI cyber program

Separately, IBM said Monday it joined OpenAI’s Daybreak Cyber Partner Program and launched a new AI-powered application security service to help enterprises detect and validate software vulnerabilities more quickly. The managed service uses OpenAI’s cyber capabilities to analyze code, prioritize high-risk flaws, and identify exploitable paths beyond traditional code scanning. The announcement builds on Project Lightwell, IBM’s $5 billion initiative with Red Hat to strengthen software supply chain security using frontier AI models.

Technical picture and earnings

Despite Tuesday’s premarket rally, IBM’s technical setup remains mixed. The stock is trading about 5.2% above its 50-day simple moving average of $250.84 and 3.8% above its 100-day average of $254.22. However, shares remain 4.8% below the 20-day moving average of $277.23 and 3.5% below the 200-day moving average of $273.49. Key resistance stands near $310, while major support sits around $212.50. IBM is scheduled to report second-quarter earnings on July 22. Wall Street expects earnings of $3.00 per share on revenue of $17.85 billion.

How will IBM's strategic pivot toward AI and quantum computing impact its revenue mix over the next five years?

What competitive advantages does the OpenAI partnership provide IBM in the crowded enterprise cybersecurity market?

Can IBM successfully execute its goal to build a fault-tolerant quantum computer by 2029 given current technical hurdles?

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