5 ways you can stop testing AI and start scaling it responsibly in 2026 (www.zdnet.com)

Lenovo's CMO Alberto Spinelli highlighted a significant shift in AI adoption during a media briefing, emphasizing that enterprises are transitioning from scattered implementations to comprehensive strategies rooted in data, skills, and governance. A study conducted among 800 executives revealed that AI is no longer a distant ambition but a crucial element driving growth and competitive advantage. With 60% of organizations moving beyond mere experimentation to practical applications, Spinelli noted that scaling AI responsibly is now more critical than ever, urging businesses to consider measurable impacts alongside adoption speed. Ewa Zborowska from IDC outlined five essential strategies for CIOs to effectively scale their AI initiatives: integrate AI into core business processes, identify clear proofs of value, and address the challenges of agentic AI, which has seen a 65% uptick in interest. Furthermore, establishing strong governance around AI practices is crucial; only 30% of CIOs have developed robust AI governance frameworks. The research indicates a pressing need for clear policies on security and ethical use of AI, ensuring organizations can build systems based on trust and responsible innovation. This approach is not only about technology implementation but also about fostering collaboration with business stakeholders and preparing the workforce for evolving AI capabilities.