Artificial intelligence is entering a new era as businesses invest heavily in AI systems capable of operating autonomously across industries. At the same time, governments are increasingly focused on regulating AI systems moving beyond digital environments into robotics, transport, logistics, and public infrastructure.
Approximately, three-quarters of CEOs now identify themselves as the primary decision-makers on AI strategy within their organisations. Companies are expected to double AI spending this year, with firms investing heavily in automation, data systems, AI infrastructure, and workforce training.
The rise of “agentic AI”, systems able to plan, act, retrieve information, and complete multi-step workflows, is becoming central to corporate strategy. Nearly all CEOs surveyed believe AI agents will generate measurable returns in 2026.
The shift is also transforming leadership structures. Many CEOs now effectively function as “Chief AI Officers” as AI increasingly shapes operations, productivity, talent management, and long-term business strategy.
AI Enters the Physical World
Beyond software systems, AI is now moving into warehouses, delivery networks, robotics, drones, and industrial infrastructure.
This transition is creating new governance concerns because failures in embodied AI systems can have direct physical consequences affecting public safety, infrastructure, and logistics operations.
Singapore’s newly introduced updated governance framework for agentic AI systems, focuses on human oversight, continuous monitoring, simulation testing, and emergency shutdown mechanisms.
At a recent AI summit in Singapore, experts compared AI governance challenges to those found in aviation and industrial safety systems. Discussions focused on ensuring autonomous systems can operate safely in unpredictable real-world environments.
Dr Ya-Qin Zhang of Tsinghua University warned that risks originating in digital systems become amplified once AI interacts with physical environments.
Companies Accelerate AI Deployment
Major global companies are already testing or deploying advanced autonomous AI systems.
Grab is piloting autonomous delivery robots and vehicles in Singapore using extensive simulation and phased deployment testing. Walmart is expanding AI-powered “super agents” designed to assist customers, suppliers, employees, and developers.
Banks including JPMorgan, Goldman Sachs, Citigroup, and Morgan Stanley are integrating AI tools into investment banking, cybersecurity, and workflow systems.
China is rapidly scaling robotics development through state-backed industrial partnerships, while Japan is focusing on robotics safety standards and AI datasets to support industrial automation.
Balancing Innovation and Oversight
As AI systems become more autonomous, accountability is becoming one of the biggest global policy questions. Singapore’s framework stresses that organisations remain responsible for AI actions even when systems operate independently.
The rapid growth of AI is also increasing pressure on business leaders. Around half of CEOs believe their jobs could be at risk if AI investments fail to produce measurable returns.
Despite these concerns, companies show little sign of slowing investment. More than 90% of firms surveyed said they plan to maintain or increase AI spending even if short-term returns remain uncertain.
From corporate boardrooms to robotics systems and public infrastructure, AI is increasingly becoming a defining force shaping economic competition, governance, and the future of work.
Written By
*Cole Jackson
*Director of International Relations
Sekunjalo Group Africa Holdings
**The Views expressed do not necessarily reflect the views of Independent Media or IOL.
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