AI Ahead and the Future of Innovation | Global Investors' Symposium 2026

Geopolitical Context & Business Continuity:

• Winston Wu (CFO, Lenovo):
  • Navigating a "perfect storm" of tariff wars, component price hikes, and Middle East hostilities within his first year as CFO.
  • Activated the group crisis committee immediately following the weekend escalation, prioritizing employee safety and supply chain security.
  • Lenovo is constructing a $400 million plant in the Middle East; operations remain secure but timelines face potential delays.
  • The Middle East represents low single-digit revenues currently but is viewed as a critical long-term market for AI due to low-cost power availability for AI inferencing.
  • Timeline Impact: Initial business continuity estimates suggested a 4–6 week disruption; the current consensus points toward one quarter of instability before regional stability returns.
• Roy Lee (CEO, VITA Technologies):
  • Acknowledged that geopolitical risks do not currently slow business momentum but emphasize the need for localized data compliance in robotics deployments.

AI Investment & Sovereignty Trends:

• Sung Kim (CEO, Upstage):
  • Korean Market: Despite regional tensions, Korean export data for the first 20 days of March remains strong, driven by surging demand for AI efficiency tools.
  • Global Strategy: Increased international demand for "sovereign AI," particularly from the UAE, requiring nations to host local data centers and develop domestic LLMs.
  • Hardware Procurement: Upstage is acquiring approximately 10,000 GPUs from AMD to build a domestic data center, aiming to develop custom token-efficient algorithms optimized for AMD hardware.
  • Market Outlook: Predicts a shift where AI agents will learn to mimic tools like chopsticks in minutes, raising concerns about a geopolitical divide where only the US and China possess "super intelligence."
• Ben Dawson (President, Cisco APAC):
  • Readiness Gap: A Cisco AI Readiness Index study reveals only 13% of organizations feel truly prepared to embrace AI regarding technology, policy, and governance.
  • Infrastructure Cycle: The current market cycle is dominated by infrastructure spending (servers, cloud), with a projected future rebound in the device market once the AI training phase matures.
  • Supply Chain: Component shortages, specifically in memory (HBM), are driving short-term demand acceleration as hyperscalers race to stockpile capacity.

The "Physical AI" & Robotics Evolution:

• David Lee (CEO, Hasai / Sharpa Robotics):
  • Market Disruption: Hasai reduced LiDAR prices by 99.5% over the last decade, enabling mass deployment for automotive and robotics sectors.
  • Strategic Pivot: Moving from purely digital AI models to "Physical AI," emphasizing that robotics requires unique hardware-data coupling rather than just text-based models.
  • Hardware-Synergy: Argues that the "last millimeter" of human-robot interaction (touch and manipulation) necessitates integrated hardware-software systems, leveraging automotive supply chains.
  • Data Strategy: Advocates a tiered compliance model:
    1. Public Layer: General common sense (e.g., how to open a fridge) accessible globally.
    2. Private Layer: Proprietary skills specific to a company (e.g., McDonald's burger frying techniques).
    3. Personal/Sensitive Layer: Strictly local data storage to ensure privacy and trust.
• Roy Lee (CEO, VITA Robotics):
  • Core Focus: Developing vision-based tactile sensing with resolution 100x that of a human fingertip to enable "hand-eye coordination" and human-like manipulation.
  • Differentiation: While Hasai focuses on manufacturing time, VITA focuses on the sensing modalities and algorithms required for robots to interact physically with the world.

Market Outlook & Future Themes (2026):

• Generalization of AI:
  • Roy Lee: Envisions "Chopsticks" as the ideal metaphor for future AI: a unified, affordable tool capable of performing any task across industries, contrasting with Western specialized tooling.
  • David Lee: Predicts General Purpose Robots will emerge as a standardized product deployed across homes, hotels, and factories, mirroring the ubiquity of the smartphone.
• Self-Improving AI: Sung Kim anticipates a significant trend in 2024-2025 where AI systems begin self-improving without direct human intervention.
• Shift to Edge & Sovereignty:
  • Sung Kim: Capital investment is shifting from centralized cloud infrastructure to the edge, democratizing AI access and moving power from CIOs to CFOs driven by ROI requirements.
  • Winston Wu: Lenovo's agentic AI (launching H2) will utilize a hybrid strategy (public/private/enterprise) with regional LLMs to ensure compliance across 180 markets.
• Geopolitical Specialization:
  • Wei (Panelist): Suggests the US leads in AI algorithms ("the brain") while China dominates robotics hardware and supply chain integration ("the body"), necessitating global collaboration to achieve mass-scale deployment.
• Final Consensus: The era of "manufacturing time" via robots is imminent, with 2024–2025 marking the transition from digital AI to embodied, physical AI agents.