80% say the digital workplace is critical to AI success. Only 10% have redesigned it

Nearly every enterprise has AI on its priority list. Far fewer have changed the workplace around it. According to Lenovo’s sixth Work Reborn report, The AI-ready workplace, eight in ten IT decision makers say the digital workplace is critical to successful AI-led transformation, yet only 10% report having fundamentally redesigned it for AI.

The report is based on an August 2026 survey of 1,200 IT leaders at organisations with at least 1,000 employees across 12 countries. It finds that 76% rank AI-led transformation among their organisation’s top IT priorities, while only 27% have scaled AI across business functions. Lenovo’s reading is that the gap is not about tools. It is about the operating capabilities needed to fold those tools into how work actually gets done.

“AI cannot deliver its full value in a workplace designed for the pre-AI era,” said Rakshit Ghura, Vice President and General Manager of Lenovo Digital Workplace Solutions. “The opportunity is to redesign how people and AI work together, with the technology, support and governance around them built for how work is changing.”

Deployment is not redesign

Lenovo draws a sharp line between adopting AI tools and redesigning the workplace. Fundamental redesign, the report argues, requires changes across workflows, employee roles, IT support and governance, so that people and AI agents can work together effectively. When AI stays confined to individual functions, its value stays trapped in silos, which limits an organisation’s ability to turn investment into measurable returns across the enterprise.

For CIOs, this reframes a familiar problem. A successful pilot in one department can look like progress, but if the surrounding workflows, support model and governance have not changed, the result is a collection of isolated wins rather than enterprise-level impact. The 27% that have scaled AI across functions are, on this reading, the ones that treated the workplace itself as part of the project.

A readiness index with a clear message

To quantify this, the report introduces the AI Workplace Readiness Index, which benchmarks preparedness across five dimensions: Architecture, Operations, Trust, Workforce and Value. Each is scored on a scale of one to five.

The results show a strong link between readiness and progress. Organisations with AI embedded across core business functions average 4.1 out of 5 on the Index. Those still evaluating AI opportunities average 2.7. Lenovo says this demonstrates a direct correlation between digital workplace readiness and AI progress. It is worth noting that correlation does not settle which comes first: organisations further along with AI may have built readiness because of that progress, rather than the reverse. Even so, the size of the gap gives leaders a useful benchmark for where they stand.

The report treats the five dimensions as a connected system rather than a checklist. Where AI workloads run, whether IT support can anticipate and prevent problems, and how tools, agents and data are governed are, in Lenovo’s framing, connected elements of one workplace operating model, not separate modernisation projects. Rather than prescribe a single sequence, it recommends assessing all five and prioritising the gaps most likely to hold back immediate AI objectives.

Measuring workflows, not just productivity

One of the sharpest findings concerns measurement. Many organisations assess AI’s broader business impact in general terms. Only one in ten, the report says, continuously connects AI use to workflow outcomes and uses that evidence to guide investment.

That distinction matters because individual productivity measures can mislead. The report points instead to workflow-level indicators such as cycle time, repeat incidents and outcome quality, which show whether an end-to-end process is actually improving. Tracking these gives leaders a stronger basis for deciding which AI use cases to expand, revise or stop altogether.

“Every company we’re talking to is asking the same thing: what value are we actually getting from AI?” Ghura said. “That’s where workflow-level measurement matters. Are cycle times down? Are repeat incidents falling? Is the outcome better? That’s how you show where AI is creating value.”

Adoption programmes without feedback loops

The same gap shows up in how organisations manage their people. Some 70% have an AI adoption programme, but only 12% measure adoption and effectiveness at the individual or team level and use the findings to refine training, employee personas and technology decisions. Running a programme, in other words, is common. Learning from it is not.

Role design reveals a similar pattern. Organisations are more often exploring how AI agents could change responsibilities than formalising human-plus-agent workforce models. The report recommends defining which routine tasks agents can perform, and where human judgement, creativity, accountability and oversight remain essential. Without that clarity, employees are left to guess where agents end and their own responsibilities begin, and accountability for agent-driven outcomes can become blurred.

The report’s central message is that AI readiness is a workplace question as much as a technology one. Devices, digital employee experience, support, security and governance all shape whether AI can deliver at scale, which is the integrated approach Lenovo’s Digital Workplace Solutions business says it offers.

For technology leaders, the practical steps are clear enough. Assess readiness across all five dimensions rather than fixing one in isolation. Define human and agent roles explicitly. Measure AI against workflow outcomes rather than individual productivity. And connect each workplace change to the result the organisation expects AI to deliver.

The 80% who call the workplace critical already understand the stakes. The harder task, for the 90% who have not yet redesigned it, is to act on that belief.

Source: The AI-ready workplace, Lenovo Work Reborn report (sixth edition), Lenovo, based on an August 2026 survey of 1,200 IT leaders across 12 countries.