Meta and IBM Shares Rise 7% After Earnings
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Jan 29 2026
0mins
Should l Buy IBM?
US equity futures are mixed in the opening hour of the evening session as markets digest corporate earnings out of Big Tech - Metaand IBMare faring the best out of high-profile names, both gaining 7% afterhours, while Microsoftis slipping despite topping estimates following in-line guide given on the earnings call. Teslawas up mid-single-digits on earnings, though shares had pared some gains afterhours as the company indicated that 2026 capex would dwarf last year, calling 2026 a "new book" rather than a "new chapter" for the company. Dow Industrials futures are down 0.3%, S&P e-minis are off by 0.2%, and Nasdaq 100 futures are slipping by 0.1%.Precious metals continue to soar in the wake of US Dollar weakness sustained further by the FOMC decision featuring two dovish dissenters. Gold is now above $5,500 while Silver trades north of $118 per ounce. Energy is also waking up to the rally in commodities as WTI Crude Oil tops $63 per barrel - the highest level since September.Check out this evening's top movers from around Wall Street, compiled by The Fly.HIGHER AFTER EARNINGS -Deluxeup 10.9%IBMup 7.6%Metaup 7.3%C.H. Robinson Worldwideup 6.9%Lam Researchup 6.0%Viavi Solutionsup 5.1%Tetra Techup 4.5%Hexcelup 3.0%CONMEDup 2.6%Teslaup 1.2%DOWN AFTER EARNINGS -Las Vegas Sandsdown 9.9%Whirlpooldown 8.5%LendingClubdown 7.7%Microsoftdown 6.3%ServiceNowdown 6.3%Calixdown 2.2%Cimpress plcdown 1.6%ALSO LOWER -Comstockdown 13.0% after equity offeringJoby Aviationdown 11.1% after $1B convertible debt / common stock offering
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Analyst Views on IBM
Wall Street analysts forecast IBM stock price to rise
16 Analyst Rating
11 Buy
4 Hold
1 Sell
Moderate Buy
Current: 240.210
Low
210.00
Averages
315.80
High
375.00
Current: 240.210
Low
210.00
Averages
315.80
High
375.00
About IBM
International Business Machines Corporation is a provider of global hybrid cloud and artificial intelligence (AI) and consulting expertise. The Company’s segments include Software, Consulting, Infrastructure and Financing. The Software segment includes hybrid cloud and AI platforms, which allow clients to realize their digital and AI transformations across the applications, data, and environments in which they operate. The Consulting segment focuses on integrating skills on strategy, experience, technology and operations by domain and industry. The Infrastructure segment is focused on the hybrid cloud infrastructure market, providing on-premises and cloud-based server and storage solutions. In addition, it offers a portfolio of life-cycle services for hybrid cloud infrastructure deployment. The Financing segment provides client and commercial financing, facilitating its clients’ acquisition of hardware, software and services. It helps clients in more than 175 countries.
About the author
Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
Anthropic's AI Threatens IBM's Core Business
- Market Reaction: IBM's stock plummeted over 12% on Monday as Anthropic's AI coding platform Claude was perceived as a threat to its core business, indicating investor concerns about the future of its traditional mainframe operations.
- Technology Comparison: While Claude can modernize complex COBOL programs, it has a 60% higher error rate in generated code, suggesting that AI has not yet reached an ideal level of reliability in programming, which may lead clients to question its dependability.
- Mainframe Advantages: IBM's new mainframe systems can handle 450 billion AI inferences per day, showcasing their superiority in high-performance computing and security, potentially positioning them as future workhorses in the AI industry.
- Positive Market Outlook: Despite AI competition, the global mainframe market is projected to grow at an average annual rate of nearly 8% through 2033, with IBM's leadership in this sector providing a solid foundation for future stable growth.
See More
Potential Economic Impact of Artificial Intelligence
- Impact on IBM: AI startup Anthropic PBC's announcement of its Claude Code tool modernizing COBOL led to a 13% drop in IBM's stock on February 23, marking its worst single-day loss since 2000, highlighting the direct threat AI poses to traditional companies.
- Unemployment Rate Warning: Citrini Research's report warns that AI could push unemployment above 10% by 2028, leading to a decline in economic demand as companies cut jobs, which could further pressure profits and exacerbate layoffs, creating a negative feedback loop.
- Market Reaction: The report spooked markets, causing the S&P 500 index to fall by 1% on the day of its release, reflecting investor anxiety over the potential economic crisis stemming from AI, indicating high uncertainty about future economic conditions.
- Economists' Perspectives: Despite the widespread discussion sparked by Citrini's predictions, many economists have criticized its assumptions, suggesting that AI could actually increase overall employment by enhancing productivity and creating new demand, indicating a divergence of views on AI's impact.
See More
Potential Economic Impact of AI-Induced Layoffs
- Layoff Concerns: Citrini Research's report suggests that AI could push the U.S. unemployment rate above 10% in the next two years, leading to a decline in aggregate demand and impacting economic growth, prompting investors to remain vigilant.
- IBM Stock Plunge: The announcement by AI startup Anthropic PBC regarding its Claude Code tool modernizing COBOL led to IBM's shares dropping 13% on February 23, marking its worst single-day loss since 2000, highlighting market sensitivity to AI impacts.
- Economic Feedback Loop: The report indicates that improved AI capabilities lead to layoffs, which reduce consumer spending, forcing companies to invest more in AI to protect margins, creating a negative feedback loop that could result in 'Ghost GDP', where economic growth does not translate into real consumption.
- Long-Term Investment Strategy: Despite concerns about AI's impact, The Motley Fool advises investors to adopt a long-term buy-and-hold strategy, focusing on companies with strong long-term strategies to leverage AI technology for competitive advantage.
See More
Quantum Computing Stocks Plummet; Investors Should Exercise Caution
- Quantum Stocks Decline: IonQ, Rigetti Computing, and D-Wave Quantum have seen their stock prices drop by 34%, 32%, and 32% year-to-date, respectively, indicating a lack of market confidence in pure-play quantum stocks, prompting investors to exercise caution.
- Valuations Detached from Reality: Despite the decline, IonQ trades at a staggering 99 times sales, D-Wave at 217 times, and Rigetti at 600 times, highlighting the minuscule revenue base of these companies and their accelerating losses.
- Bleak Commercialization Outlook: An MIT report suggests that large-scale commercial applications for quantum computing are still years away, with Morningstar estimating early commercialization at 5 to 10 years and general-use quantum computing potentially 20 years out, creating long-term uncertainty for investors.
- Smarter Investment Choices: Alphabet and IBM offer robust quantum research programs, with Alphabet generating over $400 billion in annual revenue and IBM achieving $67.5 billion last year, both capable of funding quantum R&D from profitable operations, thus reducing investment risks associated with extreme valuations of pure plays.
See More
Quantum Computing Stocks Plummet Over 30%
- Stock Price Collapse: Shares of IonQ, Rigetti, and D-Wave have plummeted over 30% in 2026, with IonQ down 34%, Rigetti down 32%, and D-Wave facing similar declines, indicating significant market concerns regarding the survival risks of these cash-burning pure-play companies.
- Profitability Disparity: In contrast to these companies, Alphabet and IBM possess profitable core businesses that can indefinitely fund quantum R&D, with Alphabet generating over $400 billion in annual revenue and IBM reporting $67.5 billion last year, showcasing their robust financial backing in the quantum sector.
- Bleak Commercialization Outlook: A recent MIT report suggests that large-scale commercial applications for quantum computing are likely far off, with Morningstar estimating early commercialization could take 5 to 10 years, and general-use quantum computing potentially 20 years away, increasing the survival risk for these companies amid high cash burn rates.
- Investment Strategy Shift: Given the lengthy timeline for quantum commercialization, investors should consider companies that can fund R&D from profitable operations, as Alphabet and IBM offer legitimate quantum exposure without the existential risks associated with extreme valuations of pure-play quantum firms.
See More
BigBear.ai Faces Market Challenges Amid AI Boom
- Insufficient Market Demand: BigBear.ai's TrueFace facial recognition platform boasts a 99.1% success rate against a database of 12 million identities, yet its primary clients are U.S. government entities, limiting its expansion into commercial markets and negatively impacting revenue growth.
- Weak Revenue Growth: In stark contrast to Palantir Technologies, which has seen a 125% revenue increase over the past three years, BigBear.ai's revenue has declined by 10.3%, highlighting its competitive disadvantage and contributing to a 42% drop in stock price over the past year.
- Limited Product Applications: While TrueFace and ConductorOS are critical in government and military applications, most corporations do not require these costly security solutions, which restricts BigBear.ai's market potential and affects its long-term strategic development.
- Competitor Advantages: Following IBM's acquisition of Confluent, the company has solidified its position in the AI sector with extensive cloud computing infrastructure and 912 generative AI patents, intensifying market pressure on BigBear.ai and prompting investors to reassess its investment value.
See More
Anthropic's AI Threatens IBM's Core Business
- Market Reaction: IBM's stock plummeted over 12% on Monday as Anthropic's AI coding platform Claude was perceived as a threat to its core business, indicating investor concerns about the future of its traditional mainframe operations.
- Technology Comparison: While Claude can modernize complex COBOL programs, it has a 60% higher error rate in generated code, suggesting that AI has not yet reached an ideal level of reliability in programming, which may lead clients to question its dependability.
- Mainframe Advantages: IBM's new mainframe systems can handle 450 billion AI inferences per day, showcasing their superiority in high-performance computing and security, potentially positioning them as future workhorses in the AI industry.
- Positive Market Outlook: Despite AI competition, the global mainframe market is projected to grow at an average annual rate of nearly 8% through 2033, with IBM's leadership in this sector providing a solid foundation for future stable growth.
See More
Potential Economic Impact of Artificial Intelligence
- Impact on IBM: AI startup Anthropic PBC's announcement of its Claude Code tool modernizing COBOL led to a 13% drop in IBM's stock on February 23, marking its worst single-day loss since 2000, highlighting the direct threat AI poses to traditional companies.
- Unemployment Rate Warning: Citrini Research's report warns that AI could push unemployment above 10% by 2028, leading to a decline in economic demand as companies cut jobs, which could further pressure profits and exacerbate layoffs, creating a negative feedback loop.
- Market Reaction: The report spooked markets, causing the S&P 500 index to fall by 1% on the day of its release, reflecting investor anxiety over the potential economic crisis stemming from AI, indicating high uncertainty about future economic conditions.
- Economists' Perspectives: Despite the widespread discussion sparked by Citrini's predictions, many economists have criticized its assumptions, suggesting that AI could actually increase overall employment by enhancing productivity and creating new demand, indicating a divergence of views on AI's impact.
See More
Potential Economic Impact of AI-Induced Layoffs
- Layoff Concerns: Citrini Research's report suggests that AI could push the U.S. unemployment rate above 10% in the next two years, leading to a decline in aggregate demand and impacting economic growth, prompting investors to remain vigilant.
- IBM Stock Plunge: The announcement by AI startup Anthropic PBC regarding its Claude Code tool modernizing COBOL led to IBM's shares dropping 13% on February 23, marking its worst single-day loss since 2000, highlighting market sensitivity to AI impacts.
- Economic Feedback Loop: The report indicates that improved AI capabilities lead to layoffs, which reduce consumer spending, forcing companies to invest more in AI to protect margins, creating a negative feedback loop that could result in 'Ghost GDP', where economic growth does not translate into real consumption.
- Long-Term Investment Strategy: Despite concerns about AI's impact, The Motley Fool advises investors to adopt a long-term buy-and-hold strategy, focusing on companies with strong long-term strategies to leverage AI technology for competitive advantage.
See More
Quantum Computing Stocks Plummet; Investors Should Exercise Caution
- Quantum Stocks Decline: IonQ, Rigetti Computing, and D-Wave Quantum have seen their stock prices drop by 34%, 32%, and 32% year-to-date, respectively, indicating a lack of market confidence in pure-play quantum stocks, prompting investors to exercise caution.
- Valuations Detached from Reality: Despite the decline, IonQ trades at a staggering 99 times sales, D-Wave at 217 times, and Rigetti at 600 times, highlighting the minuscule revenue base of these companies and their accelerating losses.
- Bleak Commercialization Outlook: An MIT report suggests that large-scale commercial applications for quantum computing are still years away, with Morningstar estimating early commercialization at 5 to 10 years and general-use quantum computing potentially 20 years out, creating long-term uncertainty for investors.
- Smarter Investment Choices: Alphabet and IBM offer robust quantum research programs, with Alphabet generating over $400 billion in annual revenue and IBM achieving $67.5 billion last year, both capable of funding quantum R&D from profitable operations, thus reducing investment risks associated with extreme valuations of pure plays.
See More
Quantum Computing Stocks Plummet Over 30%
- Stock Price Collapse: Shares of IonQ, Rigetti, and D-Wave have plummeted over 30% in 2026, with IonQ down 34%, Rigetti down 32%, and D-Wave facing similar declines, indicating significant market concerns regarding the survival risks of these cash-burning pure-play companies.
- Profitability Disparity: In contrast to these companies, Alphabet and IBM possess profitable core businesses that can indefinitely fund quantum R&D, with Alphabet generating over $400 billion in annual revenue and IBM reporting $67.5 billion last year, showcasing their robust financial backing in the quantum sector.
- Bleak Commercialization Outlook: A recent MIT report suggests that large-scale commercial applications for quantum computing are likely far off, with Morningstar estimating early commercialization could take 5 to 10 years, and general-use quantum computing potentially 20 years away, increasing the survival risk for these companies amid high cash burn rates.
- Investment Strategy Shift: Given the lengthy timeline for quantum commercialization, investors should consider companies that can fund R&D from profitable operations, as Alphabet and IBM offer legitimate quantum exposure without the existential risks associated with extreme valuations of pure-play quantum firms.
See More
BigBear.ai Faces Market Challenges Amid AI Boom
- Insufficient Market Demand: BigBear.ai's TrueFace facial recognition platform boasts a 99.1% success rate against a database of 12 million identities, yet its primary clients are U.S. government entities, limiting its expansion into commercial markets and negatively impacting revenue growth.
- Weak Revenue Growth: In stark contrast to Palantir Technologies, which has seen a 125% revenue increase over the past three years, BigBear.ai's revenue has declined by 10.3%, highlighting its competitive disadvantage and contributing to a 42% drop in stock price over the past year.
- Limited Product Applications: While TrueFace and ConductorOS are critical in government and military applications, most corporations do not require these costly security solutions, which restricts BigBear.ai's market potential and affects its long-term strategic development.
- Competitor Advantages: Following IBM's acquisition of Confluent, the company has solidified its position in the AI sector with extensive cloud computing infrastructure and 912 generative AI patents, intensifying market pressure on BigBear.ai and prompting investors to reassess its investment value.
See More
