SINGAPORE – [February 6 2026] – Held at Marina Bay Sands on January 15-16, AETHER 2026 convened senior executives from telecommunications, media, healthcare, enterprise tech, and investment to explore AI's transition from a standalone capability to a foundational layer reshaping global systems. Against this backdrop, representing the company’s Singapore headquarters, Dr. Wei Chu, Chief Scientist and Co-Founder of INF TECH, presented a compelling vision of AI as a primary growth driver. He emphasized that AI is the new electricity: missing AI means missing the next wave of growth.
Dr. Wei Chu，Chief Scientist &Co-Founder, INF Tech
The evolution: from copilots to execution layers
Dr Chu positioned Al as a system-level growth driver with economic impact exceeding prior industrial and digital waves. Its momentum is driven by convergence across artificial intelligence, cloud computing, and robotics, with compounding effects on science, finance, and industrial productivity.
He outlined a clear three-year progression: moving from the breakthrough of Large Language Models (LLMs) in 2023, through the integration of multimodal copilots in 2024, to the rise of "agentic assistants" in 2025.
"AI is no longer progressing as a standalone capability; it is reshaping operating environments end-to-end," Dr. Chu noted. "We are transitioning from viewing AI as a support tool to relying on it as an active execution layer operating within defined scopes."
Trustworthy AI: bridging the gap between pilot and production
Despite rapid capability gains, value capture remains uneven. Dr. Chu highlighted a critical challenge facing the industry: the "pilot to production" gap. He explained that most enterprise initiatives remain stuck between pilots and production because Al is treated as an application feature rather than a full stack system spanning compute, data, workflow, and feedback loops.
To overcome these structural constraints, Dr. Chu advocated for a disciplined approach to infrastructure design. He underscored that the deployment of trustworthy AI relies on a tripartite architectural framework:
- Neuro-symbolic Integration: Fusing probabilistic deep learning with formal logic to ensure agent behavior strictly adheres to deterministic business constraints.
- Reinforcement Learning with Verifiable Outcomes: Utilizing auditable data streams to create an empirical feedback loop, ensuring systemic accountability and facilitating iterative evolution.
- Strategic Agent Guardrails: Establishing rigorous operational boundaries and embedding "human-in-the-loop" protocols at critical decision-making junctions to mitigate risk and ensure alignment.
"Long-term competitive advantage will accrue to organizations, and even nations, that build AI as a reusable, scalable capability rather than pursuing isolated experiments," Dr. Chu added.
Alignment with industry shift: the INF Tech mission
Behind these insights lies INF TECH’s core mission: to make AI services accessible, reliable, and transformative. By delivering the robust foundation of INF INSPIRE and the specialized AI-native applications of INF FIN, INF TECH is not merely observing the evolution toward agentic intelligence—we are building it.
INF INSPIRE is a low-cost, high-performance and easy-to-use AI infra that accelerates the journey from idea to production with heterogeneous compute, domain models, enterprise-grade agents and sovereign-ready multi-chip adaptation.
Based on the powerful AI infra, our INF FIN AI-native applications including AI-powered investment research, dynamic index customization, and advanced credit rating services, are already trusted and adopted by leading financial institutions such as HangSeng Indexes. By mastering asset-management logic from stock indices to investment research, it improves implementation efficiency and enables truly trustworthy Al-driven businesses.
Moving forward, our commitment remains firm in empowering industries to drive the transformation of trustworthy AI into real industrial productivity, ensuring that the next industrial revolution is built on a foundation of reliability and verifiable excellence.
About INF Tech
Headquartered in Singapore, INF TECH is a leading provider of enterprise AI infrastructure and applications. Through its INF INSPIRE and INF FIN, the company bridges the gap between AI potential and real-world production value across finance, education, and global enterprise sectors.
