AI has rapidly become a significant tech trend, moving into boardrooms faster than cloud or virtualization ever did. Unlike before, it’s the boards, not IT teams, pushing for swift AI adoption, often outpacing existing systems and strategies.
This urgency has led to consequences. MIT reports that 95% of AI projects don’t progress beyond pilot stages, especially in the Middle East, where digital transformation is rapid. This has prompted leaders to critically evaluate not just the speed of adopting new technologies, but the reasons behind it, and whether their infrastructure, processes, and cultures are ready for the demands of AI and modern data strategies.
By 2026, we can expect more balanced and sustainable progress, particularly in the Gulf, where ambition is high but ROI expectations are now sharper. Here are the business-led strategies expected to emerge.
AI in 2026: Realism and Repatriation
The era of overexcitement has passed, and organizations are now more realistic about AI projects. Business leaders focus on three roles: increasing profitability, business growth, and risk mitigation. Properly implemented, AI can achieve all of these by enhancing processes, automating tasks, understanding customers, and streamlining operations. However, the abundance of choices can be overwhelming. In 2026, AI projects that support these roles and demonstrate ROI will be prioritized.
As foundational models advance rapidly, and cost-performance curves shift, the advantage will no longer come from scaling static AI systems. Instead, winning companies will:
● Switch models and inference providers within weeks
● Manage workloads across cloud, on-prem, and edge, based on cost and capability
● Adapt to rapid changes in GPU hardware, quantization formats, and model architectures
● Redeploy AI agents multiple times per quarter
In 2026, competitive advantage will hinge on the adaptability of AI infrastructure.
Massive repatriation will also define the new year. While cloud has been valuable for testing AI, organizations will bring workloads back on-premise more swiftly than before, with edge data centers playing a vital role in modernization.
This shift is driven by data sovereignty concerns, urging leaders to be more intentional about data location and control. Data sovereignty will influence where data resides, where training occurs, and even extend to supply chain structures.
Omar Akar, VP METCA region, Pure Storage
Ensuring Peak Data Protection
Data is crucial for business success, but without access or usage, operations stall, as seen with last year’s high-profile hacks. Cyber resiliency will become a vital business focus next year — the capacity to withstand and recover from disasters or attacks. Organizations will need multiple protections to achieve true resiliency. In 2026, leaders will fully grasp the importance of data protection.
Service Excellence in Subscription Models
Consumers appreciate the simplicity of subscriptions, but businesses are moving towards value-based decisions. Successful subscriptions will offer more than financial benefits, judged by uptime, response time, agility, and transparency — true services.
With economic uncertainty, rapid AI changes, and fluctuating compute demand, enterprises will no longer commit to large capex or multi-year infrastructure investments. Instead, they will build modular, subscription-driven systems where compute, AI models, storage, and cybersecurity can be scaled monthly. This allows flexibility in workloads, budgets, and markets, making subscription-based architecture crucial for resilience and growth.
Diversification Becomes Essential
Diversification will be paramount for business leaders facing geopolitical tensions, concentrated infrastructure risk, and rising regulatory fragmentation. Enterprises will abandon single-market and single-provider dependencies.
C-suites will redesign operating models around multi-market supply chains, multi-cloud and multi-AI-provider architectures, and multi-channel GTM strategies. The goal: reduce vulnerability to regional shocks and capture growth in both emerging and mature markets.
By expanding operational, digital, and commercial footprints, enterprises will replace the “optimize for efficiency” approach with one focused on structural resilience.
From Hype to Hard Outcomes
2026 will favor organizations that prioritize adaptability, resilience, and clarity of purpose. Success will be defined by how intentionally businesses design AI-supporting foundations — data architectures that withstand shocks, infrastructure that evolves with innovation, and flexible operating models in a shifting world.
The writer is VP – METCA, Pure Storage.
