Pelgo CEO Chieh Huang said government action is crucial for AI entrepreneurs to succeed in the current technological landscape [1].
This call for state intervention comes as the artificial intelligence sector faces increasing pressure to balance rapid innovation with ethical governance. Without structured policy support, entrepreneurs may struggle to scale technologies that align with public interest and labor standards.
Huang said the support is necessary during a recent discussion on the role of the state in fostering innovation [1]. He noted that the intersection of private entrepreneurship and public policy is where the most sustainable growth occurs, particularly when governments provide clear frameworks for AI deployment.
These concerns align with broader regional trends in Southeast Asia. According to a report from the International Labour Organization, there is a pressing need to strengthen AI governance through a human-centered approach [2]. The report suggests that integrating AI policies into labor frameworks can help protect workers while allowing technology to advance.
For entrepreneurs like Huang, government action is not merely about funding but about creating a predictable regulatory environment [1]. This includes the establishment of standards that prevent market fragmentation and ensure that AI tools are integrated into the economy without causing widespread labor instability.
The ILO's focus on human-centered AI suggests that the future of the industry will depend on how well developers can adhere to social and ethical guidelines [2]. By aligning corporate goals with government-led social protections, AI firms can mitigate risks associated with automation and workforce displacement.
“"Government action is crucial for AI entrepreneurs,"”
The push for government intervention by AI leadership reflects a shift from a 'move fast and break things' mentality toward a regulated growth model. By advocating for state-led frameworks, entrepreneurs are seeking to reduce the legal and social risks associated with AI, potentially signaling that the industry has reached a point where self-regulation is no longer sufficient to ensure market stability or public trust.
