Forrester's new research unveils that only three sectors—infrastructure, data and AI, and identity/access/network security—are likely to experience substantial growth driven by AI adoption. While workflows in enterprise software are evolving, traditional service providers could face significant challenges as AI adopts roles that relied on human expertise. These insights are derived from Forrester's data-driven AI disruption model, which analyzes the impact of AI across numerous technology and service categories. The findings suggest shifting investment toward 'AI enablers' such as cybersecurity and cloud services, which are positioned as critical to supporting AI deployment in enterprises.
The realization that certain sectors are well-positioned for growth in the AI landscape is a significant shift in market understanding.
Unchanged: Traditional service sectors will continue to face disruption, but the demand for foundational infrastructures such as cloud platforms will remain.
The report conveys a cautious sentiment, emphasizing growth in select sectors while highlighting challenges for traditional service providers amidst rising AI adoption.
Sectors enabling AI adoption are positioned for growth as they become central to business strategies.
Cloud services are expected to expand as organizations invest in AI infrastructure.
Security sectors gain significance as AI creates new requirements for identity and access management.
Growing demand for data governance and orchestration will benefit data-related sectors.
While some areas might thrive, overall businesses must adapt to an AI-driven market.
Forrester's insights influence investment strategies and market understanding in the evolving AI landscape.
Understanding the uneven impact of AI across sectors allows companies to strategically invest in areas with the highest growth potential, while also preparing for disruption in areas that are vulnerable to AI advancements.
Enterprises investing in AI-enabling sectors will likely see growth and enhanced capabilities.
These providers may struggle as AI takes over tasks that require human input.
While certain global sectors thrive, others will struggle with the changes AI brings.
Increased reliance on digital infrastructures raises the potential for security vulnerabilities.
As data needs grow, mismanagement could lead to significant compliance issues.
Firms adopting AI must manage reputational risks associated with ethical AI usage.
Companies may face challenges effectively integrating AI into existing workflows.
The growth in AI sectors will require robust infrastructure investment to support demand.
Global trends in AI adoption are unlikely to face immediate geopolitical risks.
Increasing AI adoption may prompt new regulations affecting various sectors.
Any disruptions in the data or infrastructure sectors could impact overall AI deployment.
Automated processes may lead to workforce reductions in certain service sectors.
Responsible use of AI will necessitate robust risk management frameworks.