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Home Technology Big Data, Analytics & Intelligence

Tech leaders see Agentic AI as a key enabler of sustainable value, new Deloitte survey finds

FutureCIO Editors by FutureCIO Editors
January 28, 2025
Photo by Google DeepMind: https://www.pexels.com/photo/an-artist-s-illustration-of-artificial-intelligence-ai-this-image-visualises-artificial-general-intelligence-or-agi-it-was-created-by-wes-cockx-as-part-of-the-visualising-ai-project-l-17486099/

Photo by Google DeepMind: https://www.pexels.com/photo/an-artist-s-illustration-of-artificial-intelligence-ai-this-image-visualises-artificial-general-intelligence-or-agi-it-was-created-by-wes-cockx-as-part-of-the-visualising-ai-project-l-17486099/

According to a new report by The Deloitte AI Institute, tech leaders consider agentic AI a key enabler of sustainable value.

Based on a survey of 2,773 director—to C-suite-level respondents across 14 countries, “The State of Generative AI in the Enterprise: Now Decides Next” revealed that 26% of surveyed organisations are already exploring autonomous agent development to a large extent, and 42% are already exploring the technology to some extent.

Gartner puts Agentic AI at the top of the list of strategic technology trends for 2025. In a research, Gartner highlights that the technology “will introduce a goal-driven digital workforce that autonomously makes plans and takes actions — an extension of the workforce that doesn’t need vacations or other benefits.

Key barriers

However, Deloitte underscores that it is not a silver bullet, especially since key barriers that organisations grapple with GenAI are the same barriers they can encounter with agentic systems, if not more critical, due to their increased complexity.

 Some common barriers to Agentic AI adoption are regulatory uncertainty, risk management, data deficiencies and workforce issues.

Jim Rowan
Jim Rowan

 “Amid the promise of AI agents and the evolution of foundational models, future-thinking organisations are as bullish as ever in building bridges to ROI, all while understanding the need for nuance — and patience — as we embrace this next wave of GenAI. Anticipation is high, and now is the time for leaders to take the long view of their GenAI investments, with a focus on governance, collaboration and continued iteration as key accelerators in the race for sustainable value,” said Jim Rowan, Applied AI leader and principal at Deloitte Consulting LLP.

Related:  Securing the connection for remote workers
Tags: Artificial IntelligenceDeloittedigital transformationsustainability
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