Chief information officers expect up to 179 percent returns on AI investments, with some organizations projecting $2.79 back for every dollar spent, according to Lenovo's 2026 CIO Playbook research conducted with IDC. The study reveals that artificial intelligence, agentic AI, IT automation, and modern data foundations have emerged as the highest-value technology priorities for CIOs this year. However, the research also shows that purchasing AI technology alone doesn't create returns — the strongest outcomes appear when AI is paired with automation, trusted enterprise data, cloud infrastructure, security, and redesigned workflows.

The Lenovo-IDC study found that nearly 46 percent of AI proof-of-concepts have moved into production, signaling a transition from testing toward enterprise deployment. Only 21 percent of CIOs currently use agentic AI, but another 55 percent are exploring or piloting it, while hybrid AI is already the preferred deployment approach for 62 percent of organizations. More conservative evidence comes from BCG's 2026 IT Spending Pulse, which surveyed 423 IT decision-makers and found that weighted-average measured ROI from GenAI and AI-agent deployments reached 13.8 percent, compared with 11.2 percent in mid-2025. High-maturity companies reported approximately 19 percent ROI, more than double the 8 to 9 percent generated by low-maturity organizations. Investment is following those returns, with 66 percent of IT buyers expecting to increase AI and machine-learning spending, while cloud services and security infrastructure are also gaining because they provide the foundations required to operate AI at enterprise scale.

Gartner research on AI and data foundations found that organizations reporting successful AI initiatives invest up to four times more as a percentage of revenue in data and analytics foundations than organizations experiencing poor AI outcomes. Organizations with the highest maturity in AI-ready data and analytics capabilities can achieve up to 65 percent greater business outcomes, including revenue growth and cost optimization, though only 39 percent of technology leaders surveyed were confident that their current AI investments would positively affect financial performance. One of the strongest enterprise examples comes from Palo Alto Networks CIO Meerah Rajavel, who told CIO.com that the company increased the share of automated IT operations from 12 percent in early 2024 to 75 percent by late 2025, halving IT operations costs while working toward automating as much as 90 percent of IT operations. The State of the CIO 2026 research, covering 662 IT leaders and 249 line-of-business users, found that organizations are expanding initiatives in business process and IT automation (56 percent), security and risk management (55 percent), and data and business analytics (54 percent).

The report's authors explain that the maturity gap is particularly important for CIO investment decisions, and they suggest that CIOs should evaluate AI ROI as part of a technology stack rather than as an isolated software investment. McKinsey's Global Tech Agenda 2026, based on responses from 632 technology and business leaders, describes leading CIOs as increasingly integrating AI and data into enterprise operating models rather than treating AI as a standalone technology project. BCG found companies concentrating GenAI and agentic AI investment around fewer, higher-value applications, particularly analytics, customer service, security and risk prevention, and internal communications. Yet execution risk remains significant: CIO.com's State of the CIO survey found that only 19 percent of respondents said their AI initiatives had met or exceeded business goals, while 18 percent reported that fewer than one-third of their AI use cases were meeting defined expectations, and only 47 percent have established formal AI success metrics. The report concludes that the CIO investment race in 2026 isn't simply about spending more on AI — the highest returns are emerging when AI is combined with automation, high-quality data, secure infrastructure, and tightly defined business outcomes. The technology priorities shaping boardroom conversations this year will likely determine whether enterprises treat automation as a cost-reduction tool or as the foundation for reimagining how work gets done. Organizations that treat data governance as back-office overhead rather than a precondition for intelligence may find themselves outpaced by competitors who made the architectural investments early.