Sharjah Redefines Public Leadership Readiness for AI

A Sharjah workshop shifts the question on readiness

On September 9, 2026, the Sharjah Digital Department (SDD) convened 24 chief executives and general directors from 21 government entities across the Emirate for a workshop titled "Executive Leadership in the Age of AI: From Strategy to Government Impact," organized with PwC Academy Middle East, as reported by Voice of Emirates^[1].

The composition of participants signals something specific: these are senior leaders tasked with deciding where to place decision-making authority between people and intelligent systems, before even choosing which tools to adopt.

This is the distinction that sets the initiative apart from a typical digital training program.

The bottleneck remains leadership, not the technology itself

The thesis running through evidence collected over recent months remains consistent: leaders' capacity to govern AI adoption outweighs the quality of available tools. Cornerstone has already documented a gap between 94% of leaders who perceive AI's impact on work and 17% of people who feel ready to operate with these tools, a known distance, useful here as context, never as headline.

Sharjah now addresses this same gap from a different angle: that of public governance. H.E. Sheikh Saud bin Sultan Al Qasimi, Director General of SDD, stated during the workshop that AI adoption should be evaluated against clear criteria: capacity to address real needs, measurable results, defined framework of accountability and governance, according to Voice of Emirates^[1].

Defining the boundary between human and system

The workshop's most relevant contribution concerns decision delegation.

Al Qasimi indicated that the role of public leaders begins with identifying the desired outcome, then establishing which tasks can be entrusted to intelligent systems. This yields a precise sequence: defining the system's authority limits, identifying points where human intervention remains necessary, setting clear criteria before moving from pilot project to broader deployment.

• Identification of desired outcome before technology choice
• Assignment of delegable tasks to the system
• Definition of the system's authority boundaries
• Identification of mandatory human control points
• Verification criteria before scalability

This sequence redefines readiness as a governance exercise, distinct from technical literacy.

Two parallel paths to move readiness beyond theory

The institutional framework surrounding the workshop confirms this interpretation. Sharjah has adopted a digital transformation strategy for 2026-2028, followed by the Sharjah AI Assistant Programme, built on two parallel tracks, as described by Voice of Emirates^[1].

The first track works on widespread awareness and practical adoption in early phases.

The second focuses on identifying priority use cases, assessing readiness of government entities, and developing governance frameworks for responsible scalability.

The separation between "early adoption" and "governance at scale" translates into organizational practice a distinction this analysis considers central: adopting a tool and being ready to govern it remain two distinct conditions, rarely measured together.

Why internal conversion outperforms external recruitment in the public sector too

Evidence gathered elsewhere supports the same principle now applied to Sharjah's public sector.

Morgan Stanley converted 98% of required AI competencies internally, while JPMorgan registered 200,000 voluntary enrollments in internal upskilling programs, figures already published, cited here as comparative framework.

Sharjah's workshop points in the same structural direction: strengthen the competencies of leaders already in role, rather than relying exclusively on an external market of AI-ready talent, which remains limited.

The logic converges with McKinsey's description of "leadership intelligence" in the AI age: the distinctive capacity of leaders lies in balancing strategic vision and operational discipline in managing change, as discussed in this briefing^[2].

What changes for those leading a board or HR function

Sharjah's experience offers concrete guidance for those in governance roles, in both public and private sectors.

• CEO: the conversation to bring to the board concerns organizational readiness measured by function, in place of simple inventory of purchased tools.
• CHRO: the L&D priority shifts to leaders' capacity to define decision boundaries, before technical training on tools.
• CFO: investment with documented return concerns internal competency conversion programs, as shown by Morgan Stanley and JPMorgan data already cited.
• Board Talent & Compensation Committee: the metric to monitor is the percentage of leaders capable of articulating decision delegation criteria toward AI systems, in place of the number of active software licenses.

This distinction between available tools and leaders prepared to govern them runs through the entire Sharjah case.

The design question that remains open for every organization

Sharjah's case demonstrates that leadership readiness can be treated as a deliberate governance project, with defined criteria, pathways, and sequences, rather than as a spontaneous outcome of conferences or occasional courses.

One question remains that every organization, public or private, should bring to its board: what criteria does your leadership use today to decide what to delegate to an intelligent system, and who has the authority to set those criteria before scale makes the decision irreversible?