Tech Week Singapore 2026 Day 1: 29 September agenda, sessions, speakers and technology signals.

Day 1 Mainstage opening sequence

Time	Session	Speaker / organization	Business signal
09:00–09:30	Opening Remarks by Senior Minister of State	Mr Tan Kiat How, Ministry of Digital Development and Information	Public-sector framing for Singapore’s technology and digital-development agenda.
09:35–10:00	AI at Scale: From Agentic Pilots to Enterprise Dominance	Sachin Chitturu, QuantumBlack, AI by McKinsey	Agentic AI is being framed as an enterprise operating model, not merely an experiment.
10:05–10:30	Towards AGI for the Physical World: AI for General Purpose Robots	Dr Nicolas Heess, Google DeepMind	Physical AI and robotics are moving closer to the center of enterprise technology strategy.
10:35–11:00	From Language to Reality: The Road from Foundation Models to World Models and Quantum Intelligence	Prof. Simon See, NVIDIA AI Technology Center	The discussion is expanding beyond language models toward world models and new computational architectures.
11:05–11:30	When Computing History Repeats: The Quantum Era	Dr Joe Fitzsimons, Horizon Quantum	Quantum is being positioned as a strategic-readiness issue rather than a distant research topic.
11:35–12:00	Powering the Next Era of AI Infrastructure	June Paik, FuriosaAI	Compute and inference infrastructure are treated as constraints and competitive advantages for AI scale.

The Day 1 narrative starts with agentic AI at enterprise scale

The first keynote after the opening remarks is explicitly about moving from agentic pilots to enterprise dominance. That sequencing is significant. It places agentic AI at the top of the event’s strategic hierarchy and frames the technology around scale, operating models and competitive advantage rather than novelty.

For keyword coverage, this page should own searches such as Tech Week Singapore agentic AI Day 1, agentic AI Singapore 2026, enterprise AI at scale Singapore, AI agents conference Singapore and autonomous enterprise systems. A separate agentic-AI page can later go deeper into the technology and business consequences without duplicating the Day 1 session chronology.

Physical AI and robotics move from automation to general-purpose intelligence

The Google DeepMind session focuses on AI for general-purpose robots, while the official Mainstage Day One description includes “Redefining Potential” through the convergence of robotics and AI. Together, those signals make physical AI one of the most distinctive Day 1 themes.

The commercial questions are different from software-only AI. Physical AI requires sensors, compute, models, robotics hardware, safety systems, simulation, deployment infrastructure and integration into physical workflows. That opens future content opportunities around robotics, manufacturing automation, logistics, warehouses and embodied AI.

World models appear as the bridge from language to physical reality

The NVIDIA AI Technology Center session explicitly connects foundation models, world models and quantum intelligence. This gives GlobalBusinessHQ a clean future keyword path around world models, physical-world AI, simulation and next-generation AI architecture.

World-model coverage should focus on what changes for business when AI systems can represent and reason about environments rather than only generate text, images or code. The event provides a useful anchor for that broader technology-intelligence question.

Quantum computing receives unusually prominent Mainstage attention

Day 1 includes a dedicated quantum session and the official track summary separately identifies both “Quantum Advantage” and “Quantum Readiness.” That repetition matters. It suggests that the event is treating quantum as both a future competitive technology and an infrastructure-preparation issue.

This creates keyword coverage around quantum computing Singapore 2026, quantum conference Singapore, quantum readiness Asia, quantum advantage, quantum infrastructure and quantum business impact. A future dedicated quantum page should own those deeper searches while this page documents their role in the Day 1 programme.

AI infrastructure becomes a first-order strategic topic before midday

The 11:35 Mainstage session on powering the next era of AI infrastructure gives infrastructure a central position in the opening-day sequence. The wider conference reinforces the same message through Cloud & AI Infrastructure Asia and Data Centre World Asia.

For business readers, the important implication is that AI demand increasingly translates into demand for inference hardware, cloud capacity, networking, storage, data centres, power and cooling. The strongest future content can therefore connect the event’s software themes to their physical infrastructure dependencies.

Cloud & AI Infrastructure Day 1 expands the scale-and-resilience theme

The official Cloud & AI Infrastructure conference programme runs on 29 September across the Cloud & AI Infrastructure Keynote Theatre, Future of Work: Enterprise Optimisation Theatre and DevOps Live Theatre. The organiser describes the programme around deploying AI at scale, agentic AI productivity, AIOps and DevSecOps.

This creates three distinct Day 1 user needs: infrastructure leaders evaluating resilient AI architecture, business leaders evaluating productivity and workflow redesign, and engineering leaders evaluating software-delivery automation.

Enterprise Optimisation translates AI agents into productivity questions

The Enterprise Optimisation Theatre focuses on AI companions, agentic systems, enterprise software adoption, human-AI collaboration and workflow redesign. Its core question is not whether AI can generate outputs, but whether it can improve enterprise productivity and measurable ROI.

This theme supports searches around agentic AI productivity, future of work Singapore, AI companions at work, enterprise software AI, human-AI collaboration and AI workflow automation.

DevOps Live covers the engineering system behind continuous AI deployment

The official DevOps Live description emphasizes agentic coding, AIOps, platform engineering and DevSecOps. These are the systems required to build, test, secure, deploy and operate software as AI increases the pace and complexity of development.

Day 1 therefore links AI adoption to software-delivery infrastructure. Companies selling observability, developer platforms, automation, CI/CD tooling, cloud-native infrastructure and application security can use the programme as a signal of buyer priorities.

Cybersecurity is inseparable from the agentic-AI story

Cyber Security World Asia’s programme is organized around cyber resilience, AI-driven threats and defenses, threat hunting, trust and future risks including quantum computing. As enterprises deploy increasingly autonomous systems, the security perimeter can become more dynamic and harder to govern.

That means Day 1’s agentic-AI narrative has a corresponding cyber requirement: identity, access control, monitoring, resilience, governance and incident response need to evolve alongside autonomy.

Data Strategy provides the reliability layer beneath AI scale

The Big Data & AI World Asia programme focuses on AI-ready data, responsible AI, AI engineering and LLMOps. The official theatre description emphasizes data quality, transparency, governance and operational resilience.

This gives Day 1 an important counterbalance to infrastructure expansion. More compute does not solve poor data quality or weak governance. Production AI needs both technical capacity and reliable information foundations.

Data Centre World connects the Day 1 AI story to physical capacity

Data Centre World Asia adds four dedicated theatres covering keynote strategy, critical infrastructure, global data-centre issues and energy security and efficiency. This makes data-centre capacity one of the event’s largest parallel agenda systems.

The future-impact chain is direct: agentic AI and world models increase computation demand; computation demand drives servers, accelerators, networking and storage; those systems require facilities, power, cooling and resilient infrastructure.

Day 1 keyword map

Keyword family	Examples	Canonical owner
Day-specific	Tech Week Singapore Day 1, 29 September agenda, Day 1 schedule	This page
Agentic AI	agentic AI Singapore 2026, AI agents conference Singapore	This page now; future Agentic AI deep dive
Physical AI	physical AI Singapore, general purpose robots, AI robotics	This page now; future Physical AI page
World models	world models conference, foundation models to world models	This page now; future Physical AI/World Models coverage
Quantum	quantum computing Singapore 2026, quantum readiness	This page now; future Quantum page
AI infrastructure	AI infrastructure Singapore, inference infrastructure	This page now; future AI Infrastructure page
Enterprise AI	enterprise AI at scale, agentic productivity, future of work	Future Enterprise AI page
DevOps	DevOps Live Asia, AIOps, DevSecOps, platform engineering	Future DevOps Live page
Data & governance	responsible AI, LLMOps, AI-ready data	Future Big Data & AI / governance pages
Data centres	Data Centre World Asia, AI data centres, energy efficiency	Future Data Centre World pages

What Day 1 suggests about technology direction

The strongest cross-agenda signal is convergence. Agentic AI, physical AI, world models, quantum, cloud, DevOps, cyber, data governance and data-centre infrastructure are not being presented as isolated categories. They are increasingly parts of one operating stack for production-scale intelligent systems.

That is useful for future impact analysis because it changes where companies may need to invest. Competitive advantage may depend not only on model quality, but also on data readiness, compute access, engineering systems, cyber resilience, power availability, partner ecosystems and governance.

Related GlobalBusinessHQ pathways

Official Day 1 evidence

Independent analysis notice

GlobalBusinessHQ is an independent business-intelligence and consulting platform. It is not the organiser of Tech Week Singapore and is not affiliated with or endorsed by the event organiser. Programme facts are attributed to official event sources; GlobalBusinessHQ’s analysis focuses on commercial, market and future implications.

Specialist pathways where Day 1 themes intersect with law, IP or technology

Relevant specialist pathways include US technology-law context, patent and business strategy, global IP research, IP research resources, patent-business legal analysis, international patent research, technology corporate legal intelligence, and Dr. Rahul Dev’s broader research and advisory work.