The five most important AI questions facing UAE business leaders in 2026
By embedding agentic workflows, conversational intelligence, and natural-language search within business management systems, organisations can automate reconciliations, identify exceptions and speed up approvals
06 February, 2026
TT
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The AI opportunity is vast and could equate to $4.68tn to the Middle East’s GDP by the year 2035, according to PwC. Yet, while the potential of AI is significant, short-term returns are less obvious. BCG finds that only five per cent of companies are “AI future-built”, while 60 per cent report minimal revenue and cost gains despite existing investments.
The gap lies not just in the technology, but in the foundations needed to support it – alignment, data, workflows, and leadership. As 2026 unfolds, business leaders need to ask a new set of questions to further unlock the UAE’s AI potential. Ones that look beyond adoption and address the structures required to enable sustainable, explainable, organisation-wide AI value creation.
Are we prepared to realise the potential of AI?
It is tempting to simply automate existing processes. But if the data and workflow were flawed to begin with, automation only increases the speed and scale of inefficiency.
AI is now integrated into leading business management systems. By embedding agentic workflows, conversational intelligence, and natural-language search within these platforms, organisations can automate reconciliations, identify exceptions, speed up approvals, and guide next steps without increasing complexity. These advantages multiply when teams work from unified data, processes, and governance frameworks.
Without a connected system—shared data, clear oversight, and consistent adoption—these benefits cannot scale. Instead, organisations risk increased busywork rather than meaningful operational impact. This underscores a critical point: many so-called ‘productivity measures’ reward activity, not necessarily impact. So before applying AI to an outdated legacy system, explore its purpose: Why is our process structured this way? How would it differ if we were starting from scratch today?
Without shedding legacy assumptions and redesigning around outcomes around a single source of truth, automation risks accelerating inefficiency rather than amplifying value.
How can we trust the decisions AI is supporting?
The shift toward AI-enabled operations exposes a long-standing issue: fragmented data. Many organisations hold vast amounts of information, but only a portion is consistent, governed, and accessible enough to support intelligent systems. And if a system cannot be explained, it should not be deployed because responsible AI is always explainable. The good news is that the ‘garbage in, garbage out’ phenomenon is now widely recognised by business leaders.
The task for businesses now is to centralise real-time data from across the organisation, including finance, operations, HR and supply chain, and make it connected and accessible across departments.
Seeing information presented in a dashboard specific to an employee’s role and responsibilities and being able to zoom in and out and question points of concern allows leaders to make decisions based on one source of truth, rather than instinct. And when more employees can access the same consistent data, organisations gain more eyes on possible risks and unlock more opportunities to surface useful insights.
What is our plan for shadow AI tools?
Employees are already using AI tools, whether business leaders approve of them or not. On one hand, this demonstrates a healthy appetite for AI and the potential for productivity gains. On the other hand, it raises serious questions around data governance, security, and compliance when organisational data is shared beyond the systems of the business.
Leaders should focus on providing secure, governed ways for employees to harness AI in alignment with organisational policy. Solutions that give employees a flexible and scalable way to connect their own AI to a business management system help ensure outputs are informed by business-approved data and remain fully compliant. This approach allows leaders to take back control of AI interactions without stifling the innovation already happening across the workforce.
How will our people interact with AI in 2026?
The way employees work with systems is changing rapidly. Conversational intelligence, agentic workflows, and natural-language search are becoming part and parcel of day-to-day operations.
Instead of navigating dashboards or clicking through menus, employees will increasingly interact with systems through conversational queries (such as “show me the revenue from the last two quarters”) or engage with autonomous agents that can execute complex multi-step workflows at the direction of a human user. AI will be embedded into the applications that people use every day, not requiring specialised interfaces or technical knowledge to extract value.
This shift requires leaders to rethink skills, governance, and the design of employee experiences. Advanced ERP systems put AI to work for business leaders by making it a natural extension of the way the business already operates.
What skills will matter when everyone is augmented by AI?
Reskilling initiatives focused solely on technical competencies will not suffice. The competitive advantage in an AI-augmented workplace belongs not just to those who can operate the technology, but to those who can interpret, challenge, and contextualise its outputs.
As intelligent tools expand our capabilities, business leaders should put a premium on critical reasoning and creative synthesis and ensure that learning and development plans evolve to strengthen these irreplaceable competencies.
In 2026, the organisations that will capture the true value of AI are not those that simply deploy more tools, but those that rethink the foundations on which those tools operate.
Sustainable impact comes from:
- Redesigning workflows around outcomes
- Establishing a single trusted source of data
- Enabling secure and governed use of emerging AI capabilities
Business leaders must also anticipate how employees will interact with systems in a more conversational, agent-driven environment.
Youssef Halawi is the regional director, Oracle NetSuite.



















