DeeperML

Enterprises are rapidly adopting AI agents, driven by the expectation of high returns on investment. A recent PagerDuty report, surveying 1,000 IT and business executives, revealed that over 60% anticipate a return of over 100% on their agentic AI investments, with an average expected return of around 171%. Optimism is even higher among U.S.-based companies, where decision-makers project returns closer to 192%. This enthusiasm is fueling a faster adoption rate for AI agents compared to generative AI, with over 90% of those surveyed believing agents will be implemented more quickly.

While excitement surrounds agentic AI, enterprises are also mindful of lessons learned from initial generative AI deployments. Challenges with realizing ROI due to rushing implementations, overspending, and lacking proper infrastructure have prompted a more cautious and strategic approach to agentic AI. According to a Gartner report, global generative AI spending is projected to reach $644 billion in 2025, with hardware accounting for a significant portion of this investment. Despite the potential benefits, decision-makers express concerns about data security, privacy, and integration with existing systems, highlighting the importance of establishing robust security measures and governance frameworks for agentic AI deployments.


References :

• AI News | VentureBeat: Gartner forecasts gen AI spending to hit $644B in 2025: What it means for enterprise IT leaders
• CIO Dive - Latest News: Enterprises have high ROI hopes for agentic AI

Classification:

• HashTags: #AIAgents #EnterpriseAI #AITrends
• Target: Enterprises
• Product: Agentic AI
• Feature: AI agents
• Type: AI
• Severity: Informative