The future of AI isn't more agents, it's more impact

Dubai: The focus of artificial intelligence (AI) should not be solely on the technology itself, but rather on the outcomes it aims to create, according to a global report and insights from industry leaders. While the pace of AI progress has been remarkable, when measured by model size, token count, and computational power, the mission remains the impact AI can generate.

A BCG report in December 2025 revealed that 60% of companies globally are failing to generate meaningful value from AI, despite significant investment. As AI becomes more capable and autonomous, it is crucial to clarify the goals we aim to achieve with these systems. The key is to ensure that AI creates genuine value, is earned and scaled responsibly.

As AI transitions from assisting and recommending to acting on our behalf, it becomes even more critical to have a clear understanding of its purpose and the safeguards in place. The debate around AI safety underlines the need for governance and accountability to evolve alongside the increasing capabilities of AI. Instead of slowing down progress, we must ensure that these safety measures advance in tandem with technological advancements.

The foundation of future-ready AI should be flexible, allowing for easy adoption of different models, partners, or requirements without the need for complete system rebuilds. This requires fit-for-purpose intelligence, where the right technology, environment, controls, and problem-solving approach are in place. As AI systems move from recommending to acting, establishing clear boundaries around their actions, data access, and human intervention becomes increasingly important.

Alongside technological progress, governance, transparency, and accountability must evolve to maintain human oversight. Building trust in AI is essential for scaling innovation. It is not an obstacle to progress, but rather a catalyst that enables responsible adoption. Trust fosters deeper acceptance of AI systems when stakeholders understand their behavior and the accountability mechanisms in place.

Moreover, AI sovereignty should not imply technological isolation or independent development of every layer of the system. Instead, it means retaining control over critical decisions concerning data, infrastructure, models, and partnerships. This sovereignty provides resilience and adaptability as AI ecosystems become more diverse and sector-specific.

Ultimately, the future of AI is not defined by the sheer volume of technology deployed, but by how effectively it serves a clear purpose. As technology evolves, our responsibility is to build AI systems with the right safeguards, foundations, and flexibility to adapt to changing circumstances. This approach ensures that AI can be deployed ambitiously and responsibly, always keeping the ultimate mission in focus: to create the outcomes we value most.