AI Influence Profile
Low Wu Yang Andre
Positioning
Member of Parliament. Spoke in 8 AI-related parliamentary debates (2025–2026), most often on AI Economy & Industry and AI & Employment.
Parliamentary AI record (8)
An Artificial Intelligence (AI) Transition with No Jobless Growth (Main Debate)
2026-05-06 · Parliament 15
On 6 May Parliament resumed debate on NTUC Secretary-General Ng Chee Meng's motion "An AI Transition with No Jobless Growth", with around 20 MPs speaking in the most substantive AI debate of the 15th Parliament to date. The motion asked the House to recognise AI's transformative power for Singapore's next phase of growth, anchor AI-enabled growth in fairness, resilience and opportunity for all, equip workers and enterprises, and affirm that Singapore must not have jobless growth. PAP and labour MPs focused on job redesign, Company Training Committees and the new Tripartite Jobs Council. Workers' Party MPs all supported the motion but proposed structural alternatives: Gerald Giam a National AI Equity Fund paying every adult citizen a $500 annual dividend plus an on-the-job mastery fund; Andre Low a redundancy insurance with no income ceiling, a retraining tax credit and an annual "AI gains audit"; Kenneth Tiong universal premium AI tool access and sovereign-level engagement with frontier AI firms. Manpower Minister Tan See Leng rejected the WP proposals as "a settlement" rather than empowerment, cited an MOM survey that only about 6% of AI-adopting firms cut headcount, and committed to studying a higher Jobseeker Support income threshold and earlier retrenchment notification. Speakers on both sides declared support for the motion.
An Artificial Intelligence (AI) Transition with No Jobless Growth (Debate Conclusion)
2026-05-06 · Parliament 15
The debate on the Motion "An AI Transition with No Jobless Growth" concluded on 6 May. In clarifications, WP's Andre Low stressed that strong social safety nets and urging Singaporeans to embrace AI are not zero-sum; Gerald Giam defended his proposed National AI Equity Fund as "not about a compensation for failure", with nearly half the fund invested directly in workers' skills, and pressed the Government on structurally sharing AI productivity gains. Manpower Minister Tan See Leng replied that the sharing would come through real income improvement, with SWDA setting clear KPIs tying the Enterprise Workforce Training Package and job redesign to real wages and career progression. WP's Kenneth Tiong questioned the quality of SkillsFuture courses and argued for universal access to frontier AI tools, while Mark Lee countered that Tiong's proposed 90-day mandatory notice for AI-driven role elimination is operationally ambiguous when transformation is gradual. Yeo Wan Ling asked whether job redesign would be an explicit condition of AI grants; Minister of State Jasmin Lau said the direction is committed and details would be worked out with tripartite partners. Wrapping up the debate of 7 hours 18 minutes and 24 speeches, Ng Chee Meng backed raising Jobseeker Support eligibility to the PME median income of about $8,400 and said NTUC is open on the form of support. The Motion was put and agreed to unanimously.
Impact of AI Adoption on Junior Lawyer Training Pipelines and Addressing Developmental Gaps Through One-year Practice Training Framework
2026-05-05 · Parliament 15
Workers' Party NCMP Mr Low Wu Yang Andre asked the Minister for Law in writing whether the Government has assessed the risk that widespread AI adoption in law firms will shrink the routine work — research and drafting — through which junior lawyers have traditionally developed professional judgment, and whether the new one-year practice training framework under the revised admission process is designed specifically to address this risk. Minister for Law Edwin Tong gave no substantive reply, stating that the Ministry of Law would answer this question orally together with other parliamentary questions filed on the same topic at the next available opportunity, and pointed to the consolidated reply "Workload Reduction at Law Firms from AI Use and Guidelines for Such Use" in the Official Report of 6 May 2026. The underlying tension: AI automation is eroding the legal profession's traditional apprenticeship pathway, while the Government's systematic assessment of the training-pipeline gap has yet to be made public.
Independent Audits and Verification of Algorithms Used in Third-party Predictive Analytics or Data-fusion Software Utilised by Government Security Agencies
2026-04-07 · Parliament 15
Workers' Party MP Low Wu Yang Andre filed a written question on the third-party predictive analytics and data-fusion software used by Government security agencies: do these agencies conduct independent audits of the underlying algorithms, and is the Government satisfied it can independently verify such software's methodology before relying on it for operational decisions? Coordinating Minister for National Security and Minister for Home Affairs K Shanmugam replied that MHA has an AI governance framework covering the development and use of AI tools; all predictive analytics and data-fusion software, including third-party vendors' underlying algorithms, are evaluated against this framework, with risk assessment and mitigation applied per use case, and independent assessments and audits performed before and after deployment to ensure compliance. The exchange touches the accountability dilemma of algorithmic decision-making in security agencies: the opposition pushes for external verifiability, while the Government holds that its internal governance framework suffices, without disclosing who audits or how.
Safeguards to Ensure Citizen Data Is Not Disclosed to or Processed by Foreign-headquartered Vendors
2026-04-07 · Parliament 15
Workers' Party NCMP Mr Low Wu Yang Andre asked MDDI: (a) whether the whole-of-Government data architecture permits proprietary AI / data analytics platforms from foreign-headquartered vendors to process citizen data; and (b) what legal and technical safeguards prevent foreign governments from compelling disclosure under their domestic laws. Minister of State Ms Jasmin Lau replied that the Government uses a risk-based approach: access on a needs basis under the principle of least privilege; vendors must implement non-retention, encryption, and identity/access management; data residency may be required for sensitive data; governance frameworks and contracts constrain use, storage and retention. In the supplementary, Mr Low named Palantir Technologies — which has become the dominant AI/data/security supplier to governments globally — and pressed on the US CLOUD Act, which compels US-headquartered companies to disclose data even when stored offshore. The Minister acknowledged this directly: "Legal and contractual agreements aside, the reality is that no matter what legal provisions the contracts may contain, some jurisdictions like the US may have legislation, including with extraterritorial reach, that empower government agencies to require companies within their jurisdictions to provide certain information... Such legislation can override contractual obligations." This is the first time the Government has publicly acknowledged on the parliamentary floor that contractual data residency can be overridden by foreign extraterritorial law.
Headcount Retention and Technology Transfer for Citizen Workforce of Singapore-based AI Company Recently Acquired by Meta
2026-02-04 · Parliament 15
MPs asked, after Meta's acquisition of Singapore-based AI startup Manus, about the share of local employees, retention guarantees, and technology transfer safeguards. The government replied that the acquisition is a commercial agreement and it does not intervene in specific terms; firms must comply with Singapore labour law and fair hiring rules, and EDB drives skills transfer and talent development. MPs focused on whether firms benefiting from Singapore's business environment genuinely deliver value to local workers post-acquisition, and suggested setting local hiring targets for "red-card" companies and preventing the abuse of shell-company structures.
Review on Local AI Start-up Manus's Acquisition by Meta and Implications on Singapore's AI Ecosystem
2026-02-03 · Parliament 15
An MP asked whether the Competition and Consumer Commission of Singapore is reviewing Meta's acquisition of local AI startup Manus and how such acquisitions affect the domestic AI startup scene. The government replied there is no current review and stressed Singapore's voluntary merger notification regime, which encourages innovation while guarding against anti-competitive risks. The core debate is whether the framework is sufficient for fast-moving AI-industry M&A.
Development of Frameworks to Track Recent Graduates' Long-term Employability and Mitigate Risks of Skills Obsolescence
2025-09-23 · Parliament 15
An MP asked how the government works with IHLs to develop frameworks that review curricula and track skills-obsolescence risk for recent graduates, and how long-term employability is measured. The government replied that it monitors graduate outcomes via employment surveys, regularly aligns curricula with industry needs, and strengthens industry-school partnerships and internships to lift students' AI and interdisciplinary capabilities. The core debate: how to effectively respond to skills-update challenges from rapid AI advances.