# AI and Digital Transformation Drive Global Executive Priorities > Executives are prioritizing AI and digital transformation as they shift focus from cost improvement to technology integration. This strategic pivot aims to harness measurable business value through advanced technologies. **Source**: consultancy-me.com | **Published**: 2026-10-29 | **Type**: research ## Key Facts - AI and digital transformation lead priorities, indicating a shift to core operational integration. - 49% of Middle East firms plan workforce growth by 2030, signaling regional talent competition. - Organizational blockers, not financial, hinder AI adoption, emphasizing execution over technology. - Companies must benchmark globally, raising competitive standards beyond local markets. - Strategic alliances and M&A are rising, reflecting a need for innovation and process optimization. ## Summary The latest CxO Priorities Study conducted by Horváth reveals a significant shift in executive priorities, with artificial intelligence (AI) and digital transformation now at the forefront of corporate agendas. This change, noted by over 1,000 board members and managing directors across 32 countries, marks a departure from previous focuses on cost and profit improvement, which dominated last year’s discussions. The implications of this shift are profound, as companies increasingly recognize the necessity of integrating advanced technologies into their core operations to drive measurable business value. AI's ascendance reflects a broader trend toward operational efficiency and innovation. According to Saad Hamam, Partner and Managing Director for Saudi Arabia at Horváth, organizations are moving away from experimental pilot projects toward the deployment of AI in essential processes. The focus has shifted from exploring potential use cases to identifying where AI can deliver tangible returns. This strategic pivot signifies a maturation in how firms perceive and implement AI technologies, emphasizing the need for actionable insights over theoretical exploration. Despite the enthusiasm for AI, the study highlights significant barriers to its effective implementation. While nearly all companies are investing in AI, only a minority report successful scaled adoption or full integration. The challenges cited by executives predominantly stem from organizational issues rather than financial constraints. Key obstacles include inadequate data foundations, insufficient workforce capabilities, and difficulties in process integration. Hamam points out that these barriers are within the control of leadership teams, suggesting that success hinges more on governance and disciplined execution than on technological advancements. The findings also carry specific implications for the Middle East, where regional leaders like Patrick Braunschweig emphasize the importance of workforce growth in the context of AI integration. With nearly half of the companies in the region planning to expand their workforce by 2030, the competitive landscape is evolving. Companies must not only hire talent but also effectively integrate it into their operational frameworks. This necessity raises the stakes for Gulf-based organizations, as they must now compete not just with local players but also with global firms that are restructuring around AI and optimizing their cost structures. The study serves as a critical benchmarking tool for companies in the Middle East, enabling them to assess their strategic priorities against global trends. It prompts organizations to question their current agendas and identify discrepancies with broader industry insights. The ability to engage in such reflective dialogue can drive meaningful changes in strategy and execution. Horváth advocates for leadership teams to address the identified barriers to AI implementation proactively, rather than postponing action. Looking ahead, the emphasis on AI and digital transformation signals a broader shift in the market toward a more tech-centric operational model. Companies that can successfully navigate the challenges of integration will likely emerge as leaders in their industries. As the competitive landscape continues to evolve, those that prioritize the development of robust data infrastructures and workforce capabilities will be better positioned to capitalize on the opportunities presented by AI. This trend suggests a future where strategic agility and technological adeptness will be paramount for sustained success in an increasingly digital economy. ## Entities - **Companies**: Horváth - **Technologies**: AI - **People**: Saad Hamam, Patrick Braunschweig - **Organizations**: Horváth Middle East ## Key Concepts AI, digital transformation, cost and profit improvement, cybersecurity, organizational challenges, workforce growth, international benchmarking, strategic priorities ## Definitions - **AI**: Artificial Intelligence refers to the simulation of human intelligence in machines that are programmed to think and learn. - **digital transformation**: Digital transformation is the integration of digital technology into all areas of a business, fundamentally changing how it operates and delivers value to customers. - **organizational challenges**: Organizational challenges are internal obstacles that hinder a company's ability to implement strategies effectively, often related to data, capabilities, and processes. - **international benchmarking**: International benchmarking is the process of comparing business processes and performance metrics to industry bests and best practices from other companies globally. - **workforce growth**: Workforce growth refers to the increase in the number of employees within a company or region, often driven by market demand and strategic initiatives. ## Use Cases - AI deployment in core operating processes - supply chain optimization - mergers and acquisitions - strategic alliances - customer service process improvement - organizational reorganization ## Frequently Asked Questions **What are the main priorities for executives according to the study?** The study highlights AI and digital transformation as the top priorities for executives, followed by cost and profit improvement and cybersecurity. **What challenges do companies face in AI implementation?** Companies primarily face organizational challenges such as data foundations, workforce capabilities, process integration, and data security, rather than financial issues. **How does workforce growth impact companies in the Middle East?** The study indicates that 49% of companies in the Middle East plan to grow their workforce by 2030, suggesting an influx of international talent and business activity in the region. **What role does international benchmarking play for organizations?** International benchmarking helps organizations assess their ambitions against global trends, challenge assumptions, and refine strategic goals based on insights from other executives. **How can companies overcome the blockers to AI adoption?** Companies can address the blockers to AI adoption by focusing on governance and disciplined delivery, ensuring that data, capabilities, and processes are aligned with their strategic objectives. ## Links - [Read on Welcome.AI](https://welcome.ai/content/ai-and-digital-transformation-drive-global-executive-priorities) - [Original source](https://www.consultancy-me.com/news/amp/14722/ai-and-digital-transformation-top-the-agenda-for-executives-worldwide) --- Source: Welcome.AI | https://welcome.ai/content/ai-and-digital-transformation-drive-global-executive-priorities