Executive summary

Deloitte's 2026 Global Human Capital Trends report finds that 59% of organizations take a technology-first approach to AI, yet those organizations are 1.6 times more likely to miss their AI return expectations. The real competitive advantage has shifted from who has the best technology to who designs the best work around it.

Top leadership insight

Design the work, not just the tool

Deloitte's 2026 Global Human Capital Trends, drawing on thousands of leaders and workers across industries and geographies, surfaces a counterintuitive result: organizations that deliberately redesign roles, decision rights, and workflows around human-AI collaboration are twice as likely to exceed their AI return expectations. Yet only 14% of leaders say they are adept at shaping these interactions.

The gap between intention and execution is large. 66% of leaders say intentional human-AI work design is important. Only 6% say they lead in it. The most concrete data point: a global telecom that redesigned its workflows before deploying an AI tool lifted team productivity by 30%. A comparable firm that added the same tool without the design work saw 5%.

The implication for senior leaders is direct: AI is becoming a commodity. The judgment, design intent, and human authority behind it are not. Leaders who treat human-AI work design as a strategic priority, rather than a side effect of adoption, are the ones seeing real returns. The rest are managing expensive experiments.

Source: Deloitte, "2026 Global Human Capital Trends," 2026 | deloitte.com

AI and leadership update

The skill gap at the top

LHH's 2026 C-Suite Research, drawing on 2,530 organizations worldwide, reports that digital and AI skills have risen seven places to become the number one perceived development gap among executives. This is not a frontline problem. It is a leadership problem. At the same time, executive turnover is falling sharply: organizations with high-turnover leadership teams (more than 50% churn) dropped from 43% in 2025 to 19% in 2026. C-suite stability is rising. AI capability is where most senior leaders still feel exposed.

Source: LHH, "2026 View from the C-Suite," 2026 | lhh.com

Leadership tip

Before your next strategy session, identify one recurring team decision. Assign three things clearly: who owns the final call, where AI supports the analysis, and when human judgment overrides it. That single act of design clarity is worth more than most AI training programs.

Framework of the week

The work design audit

Deloitte 2026 Global Human Capital Trends

A practical leadership tool from Deloitte's 2026 research. For any role, process, or significant decision, the audit asks three diagnostic questions: What is being done or decided? Who or what is doing it, human, AI, or a defined combination? And who holds final authority when the two diverge?

Executive application: Applied at a global telecom, this audit revealed that AI was being added to workflows without anyone assigning clear decision authority. Redesigning those authority lines first produced a 30% productivity lift, versus 5% from simply deploying the AI tool without the design work. The model converts AI deployment from an implementation question into a design question, and that distinction is where the real returns are found.

Statistic of the week

59% of organizations take a technology-first approach to AI, making them 1.6x more likely to miss expected AI returns.

Competitive advantage is shifting from who deploys AI first to who designs the work around it most deliberately. Most organizations are still optimizing the tool. The ones pulling ahead are optimizing the design.

Source: Deloitte, "2026 Global Human Capital Trends," 2026 | deloitte.com

Middle East and Saudi lens

Saudi Arabia raises the stakes on human capability

Saudi Arabia's designation of 2026 as the national Year of AI, organized around six pillars including skills, governance, and ecosystem development, marks a shift from infrastructure ambition to human and leadership capability. Phase Two of Saudization, now active, replaces headcount quotas with a focus on productivity, AI literacy, and building national leadership pipelines. For executives operating in the Kingdom and across the GCC, the signal is unambiguous: technical and human development are no longer separate strategic conversations.

Source: MEA Tech Watch, March 2026 | meatechwatch.com; ME Observer, July 2026

Closing insight

Technology is not the differentiator it once appeared to be. AI spreads. Algorithms get replicated. Infrastructure gets commoditized. What does not replicate easily is the quality of human judgment behind decisions, the design intelligence applied to how people and machines work together, and the leadership culture that makes both possible.

The organizations that define the next five years are not the ones that deployed AI earliest. They are the ones that asked better questions: what should we redesign, who should own the decision, and what remains irreducibly human in how we lead. Those are not technology questions.

They have always been leadership questions. And they still are.

Zahi Abdein