Discover the future of Autonomous Corporations

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    What will the future of corporations look like?

    The business landscape is entering the era of Augmented and Autonomous Corporations-organizations powered by Artificial Intelligence (Al) that can manage operations, make strategic decisions, and reshape corporate structures. Al is no longer just a tool; it is becoming a strategic partner that redefines how companies operate and compete.

    This transformation brings major challenges: redesigning business models, reorganizing workforces, and creating ethical and regulatory frameworks to ensure responsible growth. The integration of intelligent agents and advanced robotics promises efficiency, safety, and sustainability, but also demands new skills and bold leadership to navigate this transition.

    Autonomous corporations perspective - a render for Foresight What If project

    What does an augmented and autonomous corporation mean?

    An augmented and autonomous corporation enhances human capabilities by embedding artificial intelligence across all its processes, from workflow automation to real-time decision-making. Its evolution depends on factors such as computing availability, social acceptance, and organizational readiness for reinvention. This shift will not only optimize internal processes but also unlock new markets and value models.

    How do we prepare for this future?

    To succeed in the future, companies face the imperative to move beyond traditional methods and embrace AI-enhanced and autonomous models. AI is transforming how organizations operate, make decisions, and create value, unlocking new opportunities and greater efficiency.

    The journey toward Autonomous Corporations brings several challenges. Companies must integrate AI into daily operations with robust systems and reliable data, navigate complex and evolving regulations while ensuring fair and transparent use of AI, and support employees as roles change and new skills become essential, staying flexible in a rapidly shifting AI landscape.

    This shift is enabled by a broad value system composed of specialized roles, hardware and infrastructure providers, AI platforms, data and model developers, application creators, integrators, standards and ethics bodies, regulators, researchers, and investors, where innovation, competition, and collaboration all come together. By actively participating in this ecosystem, Ferrovial positions itself not only as a leader in infrastructure but as a key shaper of the autonomous age.

    Within this context, the agentic site envisions integrating agentic AI to transform worksites into autonomous environments, where digital agents optimize on-site processes and increase team productivity in the field.

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