Oppenheimer: Wall Street Fails to Recognize IBM's Transition Value
Investment Outlook: Oppenheimer has initiated coverage of IBM with an outperform rating and a price target of $360, suggesting a 24% upside due to anticipated growth in its software portfolio.
Software Growth: Analyst Param Singh forecasts a 10% compound annual growth rate for IBM's software segment over the next two years, driven by strengths in automation and Red Hat.
Consulting Revenue Recovery: IBM's consulting revenue showed positive growth in Q3 2025, with expectations for low single-digit growth moving forward, as organizations leverage AI infrastructure.
Margin Expansion: Singh believes that IBM's transition to a software-centric model will lead to higher gross and pre-tax margins, justifying a re-rating of the stock to align with industry averages.
Trade with 70% Backtested Accuracy
Analyst Views on IBM
About IBM
About the author

- Strong Financials: CrowdStrike's fiscal Q1 2027 revenue surged 26% year-over-year to $1.39 billion, driven by record annual recurring revenue (ARR) of $5.4 billion, highlighting the company's robust performance in the cybersecurity sector.
- Stock Upside Potential: Analysts are bullish on CrowdStrike's future, with 78% of 54 analysts rating it a buy or strong buy, and an average price target of $712, indicating a potential 10% upside from the current price.
- AI Technology Edge: The Falcon platform leverages AI for advanced threat protection, and as the average cost of data breaches rises, the demand for its services continues to grow, further solidifying its market position.
- Market Recognition: CrowdStrike has been recognized as a Leader in Gartner's Endpoint Protection Magic Quadrant for seven consecutive years and was also named a Leader in the inaugural Cyberthreat Intelligence Technologies Magic Quadrant, underscoring its leadership and execution capabilities in the industry.
- Stock Price Upside: CrowdStrike's stock has surged 362% over the past three years, significantly outperforming the S&P 500's 71% return, indicating strong growth potential in the cybersecurity sector that attracts investor interest.
- Strong Financial Performance: In Q1 of fiscal 2027, CrowdStrike reported a 26% year-over-year revenue increase to $1.39 billion, with annual recurring revenue (ARR) rising 24% to $5.5 billion, driving adjusted earnings per share (EPS) up 51% to $1.10, showcasing robust profitability.
- Optimistic Analyst Ratings: As of June, 78% of analysts rated CrowdStrike as a buy or strong buy, with Wall Street's average price target around $712, suggesting a 10% upside from Wednesday's closing price, reflecting market confidence in its future.
- AI and Cybersecurity Integration: CrowdStrike's Falcon platform is deemed critical AI infrastructure, and as AI technology evolves, its leadership in cybersecurity will be further solidified, especially in addressing the escalating threat of data breaches.
- Collaboration Background: IBM and ServiceNow are partnering to assist enterprises in data governance, modernizing legacy systems, and applying AI in core business operations, leveraging their technological strengths to drive digital transformation.
- Solution Development: The companies will jointly deliver solutions that modernize aging systems and extend ServiceNow's Workflow Data Fabric with IBM's enterprise data capabilities, expected to be available in the second half of 2026, facilitating autonomous IT operations for enterprises.
- Technology Integration: IBM provides the tools to modernize systems while ServiceNow offers the platform to utilize data across every business workflow, thereby helping enterprises transition from AI ambitions to scalable real-world outcomes.
- Key Focus Areas: This collaboration will concentrate on three key areas: application modernization, enterprise data governance, and autonomous infrastructure operations, aiming to create new solutions for customers and drive practical applications of AI in enterprises.
- Hybrid Cloud and AI Synergy: IBM's CTO Hillery Hunter emphasizes that hybrid cloud and AI are interdependent, as enterprises increasingly deploy AI capabilities in local data centers influenced by data gravity, enhancing data processing efficiency and security.
- Cloud Costs Exceed Expectations: Research from IBM reveals that 72% of organizations report that cloud computing production costs exceed expectations by an average of 1.5 times, prompting a reevaluation of cloud-first strategies in favor of more cost-effective hybrid cloud solutions.
- Commercial Value of Data Gravity: Companies like Oracle and CrowdStrike leverage the concept of data gravity, with Oracle optimizing its database systems for critical data storage and CrowdStrike enhancing data operability through its Falcon security system, improving threat detection capabilities.
- Market Opportunity for IBM: As enterprises shift AI-related workloads back from the cloud to data centers, IBM's infrastructure business stands to gain significantly, particularly with its Power servers and Z mainframes offering 99.9999% uptime, showcasing strong market competitiveness.
- Data Gravity Concept: IBM argues that 'data gravity' is pulling AI workloads back to on-premises infrastructure, as enterprises prefer not to move mission-critical data to third-party cloud platforms, which could reshape the future of cloud computing.
- Shift in IT Strategy: Research indicates that nearly 75% of executives are moving away from cloud-first strategies and deeper into their own data centers, with 72% of organizations reporting that cloud production costs exceeded expectations by an average of 1.5 times, reflecting a reassessment of cloud services.
- Hybrid Cloud Model Advantages: IBM's hybrid computing model integrates centralized cloud services with on-premises mainframes, enabling enterprises to implement AI capabilities within their data centers while offering 99.9999% system uptime, showcasing its competitive edge in efficiency and reliability.
- Market Opportunities and Challenges: While giants like Amazon, Microsoft, and Alphabet continue to expand, IBM believes not all workloads are suited for the cloud; if enterprises keep pulling AI workloads back on-premises, IBM's infrastructure business could see significant growth opportunities.
- AI Efficiency Boost: Thoma Bravo's founder Orlando Bravo stated that AI is broadening the roles of young employees by reducing their time spent on models and comparables, allowing them to engage more quickly in investment operations and enhancing job satisfaction.
- Youth Unemployment Crisis: Official data reveals that over a million young people in the UK were not in education, employment, or training as of May, highlighting the increasing competition in the job market amid AI deployment and layoffs.
- Upskilling Initiatives: UK Technology Secretary Liz Kendall emphasized the government's commitment to upskill young workers through free AI courses, aiming to enhance the skills of 10 million workers by 2030, with 1.7 million AI skills courses already delivered to facilitate job transitions.
- Significant Salary Disparities: Recent data indicates that entry-level workers with AI skills can earn up to 25% more, underscoring the importance of AI competencies in the current job market and the necessity for investment in skills training by both government and businesses.











