ETFs in Focus as IBM Reports Mixed Q3 Results
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Oct 24 2024
0mins
Source: NASDAQ.COM
IBM's Q3 2024 Results: IBM reported mixed results for the third quarter of 2024, beating earnings estimates with $2.30 per share but falling short on revenue at $14.97 billion, leading to a decline in its stock price by over 8% in after-hours trading.
Focus on AI and ETFs: The company is expanding its artificial intelligence capabilities, with generative AI bookings reaching $3 billion. Several ETFs heavily invested in IBM, such as First Trust NASDAQ Technology Dividend Index Fund and FT Vest Technology Dividend Target Income ETF, are highlighted due to their significant allocations to the tech giant.
Trade with 70% Backtested Accuracy
Stop guessing "Should I Buy IBM?" and start using high-conviction signals backed by rigorous historical data.
Sign up today to access powerful investing tools and make smarter, data-driven decisions.
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: 270.810
Low
210.00
Averages
315.80
High
375.00
Current: 270.810
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.
Amazon Predicts Commercial Quantum Computers in Five to Seven Years
- Quantum Computing Outlook: Amazon AI executive Peter DeSantis forecasts the launch of the first 'commercially useful' small-scale quantum computer within the next five to seven years, marking a significant step towards the commercialization of quantum computing technology.
- Technological Progress Analogy: DeSantis likens the advancement of quantum computing to Moore's Law, suggesting that as time progresses, quantum computers will become increasingly powerful, capable of tackling complex problems that current computers cannot solve, thereby driving technological advancement.
- Intensifying Competition: The quantum computing field is becoming increasingly competitive, with tech giants like Amazon, Microsoft, Google, and IBM actively developing related technologies; DeSantis' timeline is positioned in the middle of various forecasts from major companies, indicating Amazon's strategic positioning in this domain.
- Broad Application Potential: DeSantis highlights that quantum computing will initially address quantum-based problems in fields like chemistry and material science, where current classical computers struggle to perform high-fidelity simulations, suggesting that the advent of quantum computing will lead to significant breakthroughs.
See More
Amazon Predicts Commercial Quantum Computers in Seven Years
- Quantum Computing Timeline: Amazon's AI chief, Peter DeSantis, forecasts the launch of the first 'commercially useful' quantum computer within five to seven years, marking Amazon's first clear expectation in the quantum computing space, which could enhance the company's competitiveness in high-tech sectors.
- Technological Progress Analogy: DeSantis likens the advancement of quantum computing to Moore's Law, suggesting that as the technology matures, quantum computers will grow larger and tackle increasingly complex problems, providing new growth momentum for Amazon's future technological innovations.
- Intensifying Market Competition: The quantum computing field is highly competitive, with tech giants like Microsoft, Google, and IBM actively developing related technologies; Amazon's Ocelot quantum computing chip aims to address error correction challenges, demonstrating its ongoing commitment to R&D in this area.
- Broad Application Prospects: DeSantis emphasizes that quantum computing will initially focus on solving quantum-based problems in chemistry and material science, which are difficult to simulate accurately on classical computers, and successfully developing quantum computers could open new market opportunities for Amazon.
See More
Europe's Pursuit of Tech Sovereignty Takes Center Stage
- Tech Sovereignty Focus: The G7 summit and VivaTech conference in France highlight policymakers' and tech executives' concerns over American AI dominance, emphasizing the urgency for Europe to establish technological sovereignty, especially after the U.S. tightened export controls, revealing vulnerabilities in building domestic AI champions.
- AI Competition and Collaboration: The G7 meeting brings together top executives from leading AI companies like Anthropic, OpenAI, and Google to discuss AI competitiveness and reliance on China for critical minerals, reflecting Europe's strategic considerations in balancing cooperation and competition with U.S. tech giants.
- Policy Driving Local Industry: The French government is actively promoting tech sovereignty with plans to replace U.S. providers, as the Prime Minister stated, “France must have its own tools,” while the European Commission assesses the implications of U.S. export controls to ensure non-discriminatory practices towards partners.
- Cost and Risk Trade-offs: Despite billions in investment, European AI firms remain reliant on U.S. cloud infrastructure and AI models, with Capgemini's COO noting that boosting sovereignty could incur costs up to 40%, prompting companies to weigh risks against these expenses.
See More
Enterprises Face Challenges in AI Sovereignty
- Vendor Dependency: 71% of executives report that switching their primary AI vendor or model would be difficult, indicating a deepening reliance on AI systems that may reduce operational flexibility and impact business continuity.
- Data Sovereignty Challenges: 68% of surveyed executives find it challenging to meet data residency and sovereignty requirements, complicating the movement of AI systems or data across environments, which increases compliance risks and operational costs.
- Lack of Visibility: 91% of respondents indicate they do not fully understand their organization's dependencies on AI vendors, models, and infrastructure, limiting their ability to assess risks and respond to disruptions, potentially leading to severe business interruptions.
- Adaptability Gap: Only 7% of organizations possess advanced AI control capabilities that protect 55% of operating profit from AI-driven disruptions, highlighting a significant gap in building adaptable AI systems that could affect long-term competitiveness.
See More
Apptio Launches Conversational Insights Solution for Enhanced IT Spend Management
- Conversational Insights Launch: Apptio's newly launched Conversational Insights solution allows stakeholders to ask plain-language questions and receive data-backed insights into technology spending and value, aimed at enhancing enterprise visibility and control over IT investments.
- Enhanced Financial Intelligence Layer: New features including IBM Apptio Data Center Total Cost of Ownership, Cloudability Intelligent Forecasting, and Cloudability Advanced Containers help organizations achieve end-to-end visibility in hybrid IT environments, ensuring technology investments yield measurable business outcomes.
- AI-Driven Decision Support: By connecting financial, operational, and business data, Apptio's solutions enable companies to shift from reactive reporting to proactive, real-time monitoring of spending, assisting in managing the complexities of hybrid IT and enhancing competitive advantage.
- Market Demand Response: With global IT spending projected to reach $6.15 trillion by 2026, Apptio's updates aim to address financial blind spots faced by organizations amid rapid AI investments, ensuring transparency and effectiveness in technology investments.
See More
Qualcomm Targets AI Market with Tenstorrent Acquisition
- Acquisition Plans: Qualcomm is in talks to acquire AI chip startup Tenstorrent for an estimated $8 billion to $10 billion, aiming to reduce dependence on the cyclical handset market and expand into emerging sectors like data center processors and autonomous vehicle chips.
- Technological Innovation: CEO Cristiano Amon revealed that the company is working on over 40 new AI device designs, expressing particular optimism about the growth potential of smart glasses, which could significantly enhance Qualcomm's market share in the rapidly evolving AI landscape.
- Market Reaction: Following the acquisition news, Qualcomm's stock rose approximately 4% in pre-market trading, indicating a positive investor response to the company's strategic shift and reflecting confidence in its future growth potential.
- Industry Trends: As AI applications continue to expand, Qualcomm's acquisition strategy aligns with industry trends and could provide long-term revenue growth opportunities, further solidifying its leadership position in the semiconductor sector.
See More
Amazon Predicts Commercial Quantum Computers in Five to Seven Years
- Quantum Computing Outlook: Amazon AI executive Peter DeSantis forecasts the launch of the first 'commercially useful' small-scale quantum computer within the next five to seven years, marking a significant step towards the commercialization of quantum computing technology.
- Technological Progress Analogy: DeSantis likens the advancement of quantum computing to Moore's Law, suggesting that as time progresses, quantum computers will become increasingly powerful, capable of tackling complex problems that current computers cannot solve, thereby driving technological advancement.
- Intensifying Competition: The quantum computing field is becoming increasingly competitive, with tech giants like Amazon, Microsoft, Google, and IBM actively developing related technologies; DeSantis' timeline is positioned in the middle of various forecasts from major companies, indicating Amazon's strategic positioning in this domain.
- Broad Application Potential: DeSantis highlights that quantum computing will initially address quantum-based problems in fields like chemistry and material science, where current classical computers struggle to perform high-fidelity simulations, suggesting that the advent of quantum computing will lead to significant breakthroughs.
See More
Amazon Predicts Commercial Quantum Computers in Seven Years
- Quantum Computing Timeline: Amazon's AI chief, Peter DeSantis, forecasts the launch of the first 'commercially useful' quantum computer within five to seven years, marking Amazon's first clear expectation in the quantum computing space, which could enhance the company's competitiveness in high-tech sectors.
- Technological Progress Analogy: DeSantis likens the advancement of quantum computing to Moore's Law, suggesting that as the technology matures, quantum computers will grow larger and tackle increasingly complex problems, providing new growth momentum for Amazon's future technological innovations.
- Intensifying Market Competition: The quantum computing field is highly competitive, with tech giants like Microsoft, Google, and IBM actively developing related technologies; Amazon's Ocelot quantum computing chip aims to address error correction challenges, demonstrating its ongoing commitment to R&D in this area.
- Broad Application Prospects: DeSantis emphasizes that quantum computing will initially focus on solving quantum-based problems in chemistry and material science, which are difficult to simulate accurately on classical computers, and successfully developing quantum computers could open new market opportunities for Amazon.
See More
Europe's Pursuit of Tech Sovereignty Takes Center Stage
- Tech Sovereignty Focus: The G7 summit and VivaTech conference in France highlight policymakers' and tech executives' concerns over American AI dominance, emphasizing the urgency for Europe to establish technological sovereignty, especially after the U.S. tightened export controls, revealing vulnerabilities in building domestic AI champions.
- AI Competition and Collaboration: The G7 meeting brings together top executives from leading AI companies like Anthropic, OpenAI, and Google to discuss AI competitiveness and reliance on China for critical minerals, reflecting Europe's strategic considerations in balancing cooperation and competition with U.S. tech giants.
- Policy Driving Local Industry: The French government is actively promoting tech sovereignty with plans to replace U.S. providers, as the Prime Minister stated, “France must have its own tools,” while the European Commission assesses the implications of U.S. export controls to ensure non-discriminatory practices towards partners.
- Cost and Risk Trade-offs: Despite billions in investment, European AI firms remain reliant on U.S. cloud infrastructure and AI models, with Capgemini's COO noting that boosting sovereignty could incur costs up to 40%, prompting companies to weigh risks against these expenses.
See More
Enterprises Face Challenges in AI Sovereignty
- Vendor Dependency: 71% of executives report that switching their primary AI vendor or model would be difficult, indicating a deepening reliance on AI systems that may reduce operational flexibility and impact business continuity.
- Data Sovereignty Challenges: 68% of surveyed executives find it challenging to meet data residency and sovereignty requirements, complicating the movement of AI systems or data across environments, which increases compliance risks and operational costs.
- Lack of Visibility: 91% of respondents indicate they do not fully understand their organization's dependencies on AI vendors, models, and infrastructure, limiting their ability to assess risks and respond to disruptions, potentially leading to severe business interruptions.
- Adaptability Gap: Only 7% of organizations possess advanced AI control capabilities that protect 55% of operating profit from AI-driven disruptions, highlighting a significant gap in building adaptable AI systems that could affect long-term competitiveness.
See More
Apptio Launches Conversational Insights Solution for Enhanced IT Spend Management
- Conversational Insights Launch: Apptio's newly launched Conversational Insights solution allows stakeholders to ask plain-language questions and receive data-backed insights into technology spending and value, aimed at enhancing enterprise visibility and control over IT investments.
- Enhanced Financial Intelligence Layer: New features including IBM Apptio Data Center Total Cost of Ownership, Cloudability Intelligent Forecasting, and Cloudability Advanced Containers help organizations achieve end-to-end visibility in hybrid IT environments, ensuring technology investments yield measurable business outcomes.
- AI-Driven Decision Support: By connecting financial, operational, and business data, Apptio's solutions enable companies to shift from reactive reporting to proactive, real-time monitoring of spending, assisting in managing the complexities of hybrid IT and enhancing competitive advantage.
- Market Demand Response: With global IT spending projected to reach $6.15 trillion by 2026, Apptio's updates aim to address financial blind spots faced by organizations amid rapid AI investments, ensuring transparency and effectiveness in technology investments.
See More
Qualcomm Targets AI Market with Tenstorrent Acquisition
- Acquisition Plans: Qualcomm is in talks to acquire AI chip startup Tenstorrent for an estimated $8 billion to $10 billion, aiming to reduce dependence on the cyclical handset market and expand into emerging sectors like data center processors and autonomous vehicle chips.
- Technological Innovation: CEO Cristiano Amon revealed that the company is working on over 40 new AI device designs, expressing particular optimism about the growth potential of smart glasses, which could significantly enhance Qualcomm's market share in the rapidly evolving AI landscape.
- Market Reaction: Following the acquisition news, Qualcomm's stock rose approximately 4% in pre-market trading, indicating a positive investor response to the company's strategic shift and reflecting confidence in its future growth potential.
- Industry Trends: As AI applications continue to expand, Qualcomm's acquisition strategy aligns with industry trends and could provide long-term revenue growth opportunities, further solidifying its leadership position in the semiconductor sector.
See More
