Project Market

• Indian stock markets are focusing on key companies including Coal India, Zee, IMFA, Tata Elxsi, Saatvik, and GPT Infraprojects for trading on Wednesday, May 27, 2026. • Global sentiment is bolstered by MSCI’s Asian equities gauge, which climbed 1.1% to reach an all-time high. • South Korea's market surged up to 5%, driven by strong AI investment interest and the performance of chipmaker SK Hynix Inc.

• China is aggressively scaling its AI-driven cyber defense market as US developers Anthropic and OpenAI unveil new models with enhanced cybersecurity capabilities, intensifying competition in AI security innovation. • IDC projects China's AI cybersecurity industry will reach 59.35 billion yuan ($8.7 billion) by 2030, representing a more than 37-fold increase from 1.58 billion yuan ($230 million) in 2025. • Anthropic's Mythos model, launched in April, sparked rapid global response due to its unprecedented speed and efficiency in discovering and exploiting cybersecurity vulnerabilities, prompting competitive responses from Chinese developers.

• Asia-Pacific's cross-border payments market, valued at $13.5 trillion in 2025, is forecast to surge to $24 trillion by 2033, fueled by QR payments and digital adoption.• Thailand ranks second in regional economic optimism, supporting robust growth in transaction volumes across Southeast Asia.• Expansion driven by e-commerce boom and fintech innovations enhances trade efficiency in Singapore, Malaysia, Indonesia, and Vietnam.• Regulators eye next steps in harmonizing standards to sustain projected CAGR amid rising geopolitical tensions.

• Nvidia is projecting a trillion-dollar chip market while the AI industry shifts focus from training giant models to inference, robotics, and real-world deployment at GTC 2026 in San Jose. • CEO Jensen Huang spotlighted new systems and platforms aimed at industrial use cases and physical AI applications, signaling that commercial viability increasingly depends on inference economics and enterprise adoption. • The market shift reflects where spending is heading: training remains critical, but applied AI and infrastructure orchestration are becoming more investable than generic model-building pitches.