- Research from Source Global Research shows that 60% of tech companies plan to restructure their organizations within the next 18 months to adapt to AI and new technologies.
- Additionally:
- 54% are preparing to change their target operating model.
- 60% are considering M&A (mergers & acquisitions), largely due to a shortage of AI talent.
- The research is based on interviews with 150 consulting clients in the TMT (technology, media, telecommunications) sector. AI and new technologies are considered urgent drivers of change.
- The global TMT consulting market grew 7% this year, reaching $8.25 billion, significantly higher than the 2% growth last year, but still below the boom period of 2022.
- Tony Maroulis, an expert at Source, noted: After a period of recession and financial caution, companies are starting to return to more ambitious investments in AI.
- Areas of focus:
- Telecommunications: upgrading technology infrastructure.
- Media: leveraging emerging technologies.
- Real-world example: Salesforce cut 4,000 customer support positions by deploying AI Agentforce. CEO Marc Benioff admitted reducing staff from 9,000 to 5,000 due to decreasing demand.
- The company stated that customer support cases had decreased, and hundreds of employees were reallocated to professional services, sales, and premium customer care instead of being completely laid off.
- The report emphasizes: “The impact of AI cannot be avoided” – most organizations already have an AI roadmap and are turning to consulting firms for implementation.
📌 AI is becoming a direct driver for 60% of tech companies to restructure, 54% to change their operating models, and 60% to consider M&A. The TMT consulting industry reached $8.25 billion (up 7%), reflecting the need for strategic adaptation. The Salesforce case demonstrates that AI can cut 4,000 jobs while reallocating labor, showing AI as both an opportunity and a sector-wide personnel shock.
