Lenovo CIO urges patience on genAI investments

Arthur Hu, Lenovo’s global CIO, said companies should be patient with generative AI investments even as boards and executive committees put pressure to accelerate deployment and extract returns.

Hu said enterprises have a grace period to experiment with generative AI but that the economics must eventually work.

Lenovo reported in its fiscal third-quarter results that total revenue rose 18% and AI revenue grew 72% year-on-year to about a third of its business.

Research firm Gartner said AI PCs accounted for 31% of the global PC market by the end of 2025 and warned rising component costs could dampen PC and smartphone sales in 2026.

Hu described Lenovo’s multi-year AI rollout using internal productivity tools and product and manufacturing use cases, and said the company works to address worker fears about job replacement.

He added that boards, executive committees, and the finance community are pushing technologists to speed deployments so investments deliver measurable returns.

🔗 Source: Fortune

🧠 Food for thought

Implications, context, and why it matters.

Lenovo’s AI success comes from years of groundwork

Lenovo’s global CIO Arthur Hu said the company has spent years rolling out AI across employee productivity, products, and manufacturing use cases 1.
Factory teams use computer vision to spot defects during line inspections. Staff also use an internal “Studio AI” tool to create marketing content 1, 2.
Hu urged patience on returns. He uses a broader view of return on investment (ROI) that counts a project’s “lighthouse effect,” meaning it sparks adoption across the company beyond direct financial gain 3.

Lenovo’s playbook helps teams work through the AI adoption dilemma

Many companies struggle to balance testing new ideas with proving ROI.
Lenovo runs AI efforts as a portfolio. Teams can explore early, then face tougher return targets later. Executive scoreboards push uptake and friendly competition 4.
This approach shifts the CIO from a central tech supplier into a partner for company-wide innovation. Guardrails include whitelisting approved AI tools, meaning a company-approved list of tools employees can use, to cut risk 4.
Lenovo also backs hybrid AI, mixing on-device, on-premises, and cloud AI. In its CIO Playbook research, nearly two thirds (62%) of organizations chose it as the preferred deployment model 3, 5.