2025 was supposed to be the year AI agents went mainstream. So did it live up to the hype? In a year-end analysis by SDxCentral, Krazimo CEO Akhil Verghese provides one of the most grounded assessments of where agentic AI actually stands.
Verghese’s perspective is both ambitious and pragmatic. He believes 40-70% of all white-collar work will be automatable within three years — but is quick to distinguish between automatable and automated. The gap between what’s technically possible and what’s actually deployed in production is significant, and Verghese suggests a 10-year timeline is more realistic for seeing widespread automation of white-collar work as it exists today.
Looking back at 2025, Verghese characterizes it as primarily a testing and experimental phase — and a year of painful lessons for companies that adopted AI solutions without adequate guardrails, success criteria, and maintenance plans. He expects 2026 to continue this pattern of experimentation, with enterprises becoming more sophisticated about how they evaluate and deploy AI.
The article draws on perspectives from multiple industry leaders and provides a comprehensive view of the current state of agentic AI adoption. For business leaders planning their AI strategy, the takeaway is clear: the technology is advancing rapidly, but success depends on engineering discipline, realistic expectations, and a willingness to learn from early failures.
Originally published on SDxCentral. Krazimo is an enterprise AI consulting firm that helps businesses adopt AI with the rigor and reliability needed for production environments.
Read the whole story at SDxCentral.