AI and Antitrust in Singapore: What Businesses Need to Know Now
Singapore's competition regulator confirms that businesses bear responsibility for antitrust harms caused by their AI systems.
The Competition and Consumer Commission of Singapore ("CCS") has confirmed that businesses remain responsible for foreseeable antitrust harms arising from their use of artificial intelligence ("AI") systems—whether those systems are developed in-house or procured from third parties. Speaking on May 6, 2026, the CCS chief executive emphasised that firms deploying AI-driven pricing and decision-making tools must ensure compliance with competition law. In short, reliance on algorithmic systems does not displace accountability for anticompetitive outcomes.
These comments are part of the CCS's broader work on AI-related competition and consumer-protection issues in Singapore.
Based on the CCS's latest guidance and enforcement priorities, businesses operating in Singapore should pay close attention to the following:
Liability remains with the user. Companies cannot avoid responsibility by outsourcing AI capabilities. Using third-party tools—including pricing software—does not reduce your exposure.
Focus on foreseeability. Regulators expect firms to proactively assess whether their AI systems could produce anticompetitive effects, such as price coordination or reduced market competition.
Algorithmic collusion risks. CCS highlighted three areas of concern:
- AI-assisted explicit collusion between competitors;
- "Hub-and-spoke" arrangements involving shared pricing platforms; and
- Autonomous tacit collusion, where algorithms independently align on higher prices.
Enforcement is adapting. The "black box" nature of AI systems may limit traditional evidence (e.g., communications), so regulators will rely more heavily on market outcomes and data analysis to detect violations.
Compliance by design. The CCS is encouraging businesses to embed competition compliance into AI systems from the outset—including testing, monitoring, and governance controls.
The CCS has also introduced an open-source AI toolkit to help businesses assess competition and consumer protection risks. Notably, companies that proactively use such tools may benefit from reduced penalties in the event of a breach—providing a tangible incentive for early adoption.
Enforcement action specifically targeting alleged AI-based collusion remains limited in Singapore, but this likely reflects the early stage of regulatory detection capabilities rather than the absence of risk. The CCS has made clear that it is building its analytical toolkit and that scrutiny will increase. Companies that embed compliance controls now—and engage proactively with tools such as the CCS's open-source risk assessment framework—will be best positioned to demonstrate good faith should enforcement follow.