Move and win roundup: Week of July 13, 2026

• Experts, including Refroid Technologies CBO Vijay Sampathkumar, argue that India's global AI competitiveness will depend on infrastructure and engineering rather than just AI models. • AI training and inference require GPU-intensive computing, which demands ultra-low-latency networking and significantly higher power and cooling capabilities.

• Taiwan networking equipment makers reported record-high monthly revenues for June 2026, with several companies also achieving new quarterly and first-half records. • The growth was primarily driven by increased demand for AI data center expansions, high-speed switches, and broadband network upgrades.

• Indian companies are increasingly adopting Chinese large language models (LLMs) from developers such as DeepSeek, Alibaba, and Moonshot AI. • This shift is primarily driven by the need to reduce operational costs associated with implementing artificial intelligence.

• Financial regulators and tech companies in Europe, the UK, and the US are intensifying their focus on the integration of advanced AI within the financial sector. • Authorities are prioritizing critical areas of oversight, specifically targeting cybersecurity threats, consumer protection, and the sustainable expansion of AI-driven industry tools.

• A weekly cybersecurity roundup from July 6–10, 2026, highlights critical vulnerabilities across the AI ecosystem, including a significant breach at Accenture. • Researchers discovered that thousands of Model Context Protocol (MCP) servers, which connect LLMs to external systems, are susceptible to file access and injection attacks.

• The U.S. and Philippines are establishing a joint AI hub designed to create high-tech jobs and strategically reduce regional dependence on Chinese technology. • The initiative faces scrutiny due to a history of systemic corruption, including a reported 421 fake projects funded within the nation.

• Nearly 80% of high-net-worth investors in Singapore are utilizing AI for investment research, though they lack full trust in the technology's results. • To mitigate risks, these investors continue to rely on human financial advisors to double-check and validate AI-generated insights.

• Investors are rotating their portfolios away from a small group of AI winners in emerging markets to diversify their holdings. • Three dominant technology stocks, with a combined valuation of $4.4 trillion, currently drive a disproportionate share of market returns.

• AI development in July 2026 has shifted focus from increasing model size to improving economic efficiency and practical real-world applications. • Key releases and achievements include the launch of Claude Sonnet 5 and the discovery of new vaccine components.

• The July 10, 2026, threat briefing highlights several critical vulnerabilities, including "ConsentFix" and "ClickFix" methods used to hijack Microsoft 365 accounts in seconds. • New security threats are emerging, such as "Ghost Phishing" that bypasses traditional email filters and fraudulent campaigns where hackers impersonate Interpol to target small businesses.

• Microsoft is granting users greater control over AI features within Teams as AI-driven coding, dictation, and digital actors continue to reshape business operations. • New advancements in large language models (LLMs) are making AI-powered dictation more practical by allowing workers to speak naturally while the software automatically corrects grammar and formatting.