5 IT Leaders Share New Year’s Resolutions for 2026

Why It Matters

The shift signals a maturation of AI investments, aiming to convert hype into measurable business value while preserving workforce effectiveness. Companies that align technology with human skills will gain competitive advantage and sustainable growth.

Key Takeaways

• Prioritize emotional intelligence over algorithmic speed
• Define clear human‑AI operating models for accountability
• Trim tool sprawl to lower technical debt
• Deploy AI agents that enhance customer service reliability
• Measure human impact alongside financial ROI

Pulse Analysis

The AI boom of 2025 left many enterprises with sprawling pilots and modest profit impact, as Forrester reported only a fraction of firms translating generative models into earnings. This reality check is driving CIOs to adopt a more disciplined approach in 2026, emphasizing ROI‑centric pilots and rigorous post‑deployment analytics. By treating AI as a strategic asset rather than a vanity metric, organizations can better allocate budgets and justify spend to the C‑suite.

A parallel narrative is emerging around the human side of technology. Leaders like Julie Averill argue that emotional intelligence, cultural fluency, and psychological safety are irreplaceable assets that amplify AI’s effectiveness. Companies are therefore crafting human‑AI operating models that delineate decision‑making authority, ensure accountability when agents err, and embed human judgment in high‑risk workflows. This shift not only mitigates compliance risk in regulated fields such as clinical research but also fosters trust among employees who see AI as a collaborative partner rather than a replacement.

Technical debt and tool sprawl remain chronic pain points, especially after pandemic‑driven digital acceleration. Executives such as Jay Ferro and Bryan O’Sullivan are committing to systematic cleanup, standardizing platforms, and pruning redundant codebases. Simultaneously, innovative uses of lidar‑based IoT and predictive analytics—exemplified by Arctic Glacier’s ice distribution network—show how data‑driven insights can pre‑empt customer issues and drive profitable service stops. The convergence of disciplined AI adoption, human‑centric leadership, and debt reduction positions firms to capture genuine value in the coming year.