Companies invest heavily in agentic AI despite limited understanding
Businesses are pouring millions into agentic AI technologies while often lacking clarity on their capabilities and implementation strategies
Businesses are investing heavily in artificial intelligence tools, particularly agentic AI, despite frequently misunderstanding these technologies. According to Dan Diasio, global AI leader at EY, many vendors are rebranding generative AI products as "agentic AI" to capitalize on market buzz.
The AI Investment Boom
EY's latest U.S. AI Pulse Survey reveals:
- 21% of senior leaders report $10M+ AI investments (up from 16% last year)
- 1/3 anticipate spending $10M+ on AI next year
- Only 14% have fully implemented agentic AI
"Most organizations aren't prepared for agentic AI's demands," Diasio notes, citing challenges with knowledge organization and change management.
Implementation Challenges
Deepankar Mathur of Searce observes:
- Traditional "full-scale adoption" concepts don't fit AI's rapid evolution
- Companies need continuous optimization cycles
- The process becomes an "always-on" operational imperative
Strategies for Success
Experts recommend:
- Define human-AI partnerships - Create clear task divisions
- Convert tacit knowledge - Transform employee know-how into usable assets
- Establish governance frameworks - Address privacy, security and ethical concerns
- Democratize AI access - Empower employees within security boundaries
- Create AI centers of excellence - Deploy specialist teams across functions
- Set realistic goals - Focus on measurable, time-bound objectives
While AI startups raised $104 billion in H1 2025, businesses must bridge the gap between investment and understanding to maximize returns.
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About the Author
Dr. Lisa Kim
AI Ethics Researcher
Leading expert in AI ethics and responsible AI development with 13 years of research experience. Former member of Microsoft AI Ethics Committee, now provides consulting for multiple international AI governance organizations. Regularly contributes AI ethics articles to top-tier journals like Nature and Science.