Singapore chief executives are facing growing pressure to prove that artificial intelligence is delivering real business value, with 86% saying their jobs could be at risk if their companies fail to achieve measurable gains from AI.
The figure is higher than the global average of 80%, highlighting the intensity of expectations facing Singapore’s corporate leaders as businesses accelerate AI adoption.
The pressure extends beyond financial returns. Eight in 10 Singapore CEOs believe a chief executive could be removed following a failed AI strategy or a major AI-related crisis, compared with 77% globally.
The findings underscore a fundamental shift in corporate leadership: AI is no longer viewed simply as an IT investment. Boards and shareholders are increasingly expecting CEOs to take direct responsibility for whether AI initiatives improve productivity, revenue, efficiency and competitiveness.
Yet translating AI spending into measurable results remains a challenge.
Many companies have invested heavily in AI tools without fundamentally changing how work is organised. Simply deploying generative AI or automation does not guarantee productivity gains if employees continue using old processes and decision-making structures.
This creates a growing responsibility for CEOs to ensure that AI investments are connected to specific business objectives rather than being adopted simply because competitors are doing so.
Governance is becoming another major concern.
As AI systems become more capable and autonomous, businesses must determine where machines can make decisions independently and where human oversight remains essential. The survey indicates that Singapore and Asia-Pacific CEOs are generally more cautious about giving AI control over critical business decisions.
About 26% of Asia-Pacific CEOs said AI never makes business-critical decisions autonomously, compared with 17% globally. Only 12% said AI frequently operates autonomously with human monitoring afterwards, compared with 19% globally.
The caution reflects the risks involved when AI systems are given authority over sensitive operations, financial decisions, customer information or other consequential activities.
Another growing problem is so-called shadow AI, where employees use unapproved external AI tools without their organisation’s knowledge.
Employees could inadvertently expose confidential company information by entering sensitive data into publicly available AI models. Without proper controls, companies may struggle to determine what information has been shared, which systems are being used and how AI-generated decisions are influencing business operations.
That makes visibility and accountability increasingly important.
Companies need clear rules governing which AI models employees can use, what information can be entered into those systems and how AI outputs should be reviewed. They also need mechanisms to track and assess AI systems throughout their operational life cycle.
The challenge becomes even greater as businesses move from simple AI assistants towards AI agents capable of performing multiple tasks with limited human intervention.
Traditional governance frameworks may not be sufficient for these systems. Companies will increasingly need controls that cover everything from deployment and data access to monitoring, risk management and eventual retirement of AI systems.
For CEOs, the lesson is becoming clear: pursuing maximum AI autonomy is not necessarily the goal.
Instead, companies need to determine where AI can create the greatest value and establish the appropriate level of human supervision around it.
The pressure is particularly significant in Singapore, where businesses and policymakers are positioning AI as a major driver of future economic growth. Companies are being encouraged to adopt the technology to raise productivity, develop new products and strengthen their competitiveness.
But greater adoption also raises expectations.
If AI investments fail to deliver measurable results, CEOs could increasingly be held responsible for wasting resources or failing to adapt their organisations quickly enough. If AI succeeds, meanwhile, leaders who establish effective systems for combining technology with human talent could gain a significant competitive advantage.
The emerging corporate reality is therefore not simply about whether businesses use AI. It is about whether leaders can prove that AI is actually improving the business — while keeping the technology secure, accountable and under human control.
For Singapore’s CEOs, the AI race is becoming a leadership test. The companies that can turn experimentation into measurable results may strengthen their position, while leaders unable to demonstrate value could find their own positions increasingly vulnerable.
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