Enterprises across North America are rapidly advancing toward autonomous operations as Agentic AI transforms IT from a cost center into a strategic driver of business value, according to the latest research from Digitate. The 2025 report, Agentic AI and the Future of Enterprise IT, reveals that organizations are achieving measurable returns on AI investments, with 45% already operating in semi- to fully autonomous modes—projected to rise to 74% by 2030. The study, based on responses from 600 IT decision-makers in the U.S. and Canada, shows that generative AI (GenAI) remains the most widely adopted AI model, used by 74% of organizations. Over 40% have already implemented agentic or agent-based AI systems, signaling a shift from simple automation to intelligent, self-directed workflows. On average, companies are now using five AI tools across multiple business functions, reflecting a maturing and integrated approach to AI deployment. Trust in AI is high, with 94% of organizations considering AI trustworthy—though this drops slightly to 87% in regulated sectors like healthcare and government. The most significant gains are being seen in IT operations, where 78% of organizations have adopted AI, and 65% report the highest benefits. Software development (52%) and business intelligence (51%) also show strong adoption and impact. The report highlights a clear return on investment, with a median ROI of $175 million on a $71.6 million AI implementation spend. Key benefits include improved accuracy (44%), enhanced efficiency (43%), and better data management (42%). Agentic AI is proving most effective in ITOps, customer self-service, and reporting/analytics—functions where it outperforms traditional AI tools. Despite the progress, challenges remain. While 94% of organizations report drawbacks with their current AI tools, the most common issues are human intervention needs (47%) and high implementation and maintenance costs (42%). A lack of technical skills (33%) and insufficient budgets (31%) are the top barriers to broader adoption. Cybersecurity (49%) and rising technology costs (42%) are the biggest external threats. Interestingly, there’s a growing gap between leadership optimism and operational realism. C-suite executives show slightly higher trust in AI (96%) than non-executives (94%), driven by visibility into ROI. Executives focus on profitability, while frontline teams prioritize efficiency and accuracy. The most successful organizations are those that align these perspectives, creating a unified strategy that balances speed with stability. The report also notes that 67% of respondents see Agentic AI as transforming essential tasks, and 53% believe it will enable full departmental reorganization. However, only 25% anticipate job replacement—most view AI as a tool to augment human capabilities, not replace them. Looking ahead, Digitate’s Avi Bhagtani emphasized that AI has evolved from a tactical experiment to a core strategic capability. “In just three years, AI has moved from an operational utility to a driver of measurable business outcomes,” he said. “The autonomous enterprise is no longer a vision—it’s becoming reality.” The findings underscore that success lies not in replacing humans with machines, but in creating intelligent collaboration where AI enhances human expertise, reduces complexity, and delivers sustained value. Organizations that master this balance will lead the next wave of enterprise innovation.