Software and AI demand drive IBM’s growth despite consulting drop is profiled by BTW Media because public-source evidence links it to internet infrastructure, governance, operational dependencies, or market visibility.
Software and AI demand drive IBM’s growth despite consulting drop is tracked as a internet infrastructure institution within the internet infrastructure ecosystem.
Software and AI demand drive IBM’s growth despite consulting drop has public-source relevance to network operations, governance, dependency mapping, or market structure.
Software and AI demand drive IBM’s growth despite consulting drop has public-source relevance to network operations, governance, dependency mapping, or market structure.
Software and AI demand drive IBM’s growth despite consulting drop is tracked as a internet infrastructure institution within the internet infrastructure ecosystem.
Public-source signals support medium-impact monitoring for infrastructure visibility and dependency analysis.
Software and AI demand drive IBM’s growth despite consulting drop is profiled by BTW Media because public-source evidence links it to internet infrastructure, governance, operational dependencies, or market visibility.
Public-source signals support medium-impact monitoring for infrastructure visibility and dependency analysis.
| 0.90–1.00 | A | High — direct sources |
| 0.75–0.89 | A/B | Strong |
| 0.55–0.74 | B/C | Medium |
| 0.35–0.54 | C/D | Weak–medium |
| 0.10–0.34 | D | Weak signal |
| 0.00–0.09 | D | Internal monitoring |
Mixed-source
- IBM beats analysts’ estimates for Q2 revenue, driven by AI and software demand, while consulting revenue declines.
- Raises annual growth forecast for software business to high-single digits amid increased AI integration.
OUR TAKE
IBM’s strong performance in the AI and software sectors underscores the growing demand for AI technologies and solutions. Despite challenges in consulting, the company’s strategic focus on AI positions it well for future growth.
— Zoey Zhu, BTW reporter
What happened
IBM exceeded analysts’ expectations for second-quarter revenue and raised its annual growth forecast for its software business, driven by increased spending on artificial intelligence (AI) by clients. The company reported a software revenue increase of about 7 percent to $6.7 billion in the quarter. IBM’s AI Book of Business, which includes bookings and actual sales across various products, grew to $2 billion, with $1 billion added in the second quarter alone.
The company has been expanding its Watsonx platform, which allows users to deploy chatbots or enhance code for AI programs. IBM has also made its Granite family of AI models open-source to promote its AI services. These strategic moves have contributed to the company’s strong performance, with shares rising about 3 percent in extended trading.
Also read: IBM to add 800 AI roles in Ireland
Also read: IBM, Fortinet launch next-gen firewall security for IBM Cloud
Why it’s important
IBM’s strategic focus on AI and software is establishing it as a key player in the AI market. The company benefits from AI-linked spending by clients adopting the technology, with the commercialisation of generative AI creating new opportunities. However, IBM has revised its annual consulting revenue growth to low-single-digit percentages, down from the previous forecast of 6 to 8 percent, due to reduced discretionary spending and short-term projects amid higher interest rates and inflation.
Despite consulting challenges, IBM’s strong performance in high-margin software sales led to a second-quarter adjusted profit of $2.43 per share, exceeding estimates of $2.20. This success underscores the importance of IBM’s strategic focus on AI and software for future growth. Adapting and innovating in a dynamic macroeconomic environment will be crucial for maintaining IBM’s market position and driving long-term success.
Core Entity Brief
- Entity: Software and AI demand drive IBM’s growth despite consulting drop
- Subject Type: Internet infrastructure institution
- Region: Europe and Middle East
- Classification: Institution Type
Service Surface / Control Surface
- Public records support monitoring of governance, service, and infrastructure control surfaces.
Governance and Policy Surface
- Public-source signals support medium-impact monitoring for infrastructure visibility and dependency analysis.
- Operational criticality: Medium
- Time horizon: Quarter (30-120d)
Decision Trigger Matrix
- Monitoring focuses on verified service continuity, governance changes, and relationship signals.
Current state favours active tracking due to infrastructure relevance.
Public-source signals support medium-impact monitoring for infrastructure visibility and dependency analysis.
Long-cycle infrastructure decisions likely to remain path-dependent.
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