Author: lethuphuong

📌 Vietnam’s AI Law, effective from March 1, 2026, marks a turning point as Vietnam becomes the first Southeast Asian country to issue a comprehensive legal framework for generative AI. Regulations require deepfake labeling, transparency in interactions with artificial agents, and apply to both domestic and foreign enterprises. Vietnam is simultaneously investing in a national AI computing center and a Vietnamese large language model, aiming for double-digit growth in five years, though the actual impact depends on guidance and enforcement.

📌 Tech companies are increasingly using loans collateralized by GPUs—the chips used to train LLMs—to finance AI investments worth hundreds of billions of dollars annually. A common model is establishing Special Purpose Vehicles (SPVs) to buy high-performance GPUs and lease them back to the tech giants, effectively moving debt off-balance sheet. Deals worth $3.5–3.6 billion highlight the massive scale of the AI race. However, with GPUs potentially becoming obsolete within 3 years and an uncertain secondary market, this model carries significant valuation and asset-lifecycle risks for investors.

📌 AI creates the greatest value by reducing “translation” costs between disjointed systems, enabling coordination without requiring standardized consensus. From construction to insurance, companies like Tractable have processed nearly $7 billion in claims by integrating data instead of changing processes. However, as scale increases, accountability and governance will determine who holds power in this new coordinated ecosystem.

📌 Anthropic predicts that by 2027, its AI could replace top research teams in sensitive fields like energy, robotics, and weaponry. The company is simultaneously expanding Claude Cowork into HR, finance, and investment while tightening safety controls with red-teaming and compliance audits. The rapid pace of development combined with the ambition to automate knowledge work is putting significant pressure on the high-level labor market and tech stocks.

📌 Anthropic’s President admits Claude shows signs of “anxiety,” raising questions about the poorly understood mechanisms of generative AI. While valued at $380 billion and potentially profitable soon, the company has relaxed safety commitments amid competitive pressure and disputes with the Pentagon. Meanwhile, the wave of 300–2,000 layoffs at major firms shows that the impact on employment is becoming tangible and concerning.

📌 The Delhi Declaration on February 19, 2026, marks a turning point as Global South nations lead AI governance with 7 flexible principles, opposing data extractivism from developing countries to resell AI products to them, and promoting sovereign AI. With the Compute Bank initiative at $0.78/hour and the 22-language BharatGen model, this framework combines innovation, equity, and sustainability, opening a new AI order no longer revolving solely around the US or Europe.

📌 India proposed a “Third Way” for AI governance, distinct from the EU’s strict compliance model, the US’s light-touch approach, and China’s state-centric model, which are designed for different economic contexts. India’s “Third Way” aims to build a flexible AI governance model, leveraging existing laws and promoting inclusive development in key sectors. New regulations such as labeling generative AI and removing content within 3 hours show bold steps. However, challenges regarding labor protection, transparency, and international coordination will determine in the next 12 months whether this model can become a standard for Global South nations.

📌 Agentic AI is shaking the foundation of Software as a Service (SaaS) based on “users” for the past 30 years. AI agents can act autonomously as “users,” orchestrating enterprise systems and performing work on behalf of humans. The concept of “user” loses meaning, making per-user pricing obsolete. As AI becomes a self-operating agent requiring continuous customization, pricing models must shift to a hybrid structure between resource usage and implementation services. The convergence of software and services will alter profit margins, cost structures, and how businesses understand the true value of AI technology.

📌 The agreement between G42 and Credo AI marks a strategic step to make responsible AI a standard in Global South nations, amidst concerns about biases such as caste discrimination and medical inaccuracies based on skin color. The goal is to “operationalize responsible AI” through risk monitoring tools, policy design, and training programs for governments and businesses. Credo AI specializes in codifying legal frameworks like the EU AI Act into governance platforms, helping businesses and the public sector comply with regulations. As AI spreads in one of the world’s largest adoption markets like India, embedding transparency, accountability, and governance from…

📌 The EU is on the defensive as the 2024 AI Act is seen as overly regulatory, stifling innovation. Since the AI Act’s inception in 2024, very few countries have followed suit. India announced a “light touch” approach, intervening only in specific harms like deepfakes. French President Emmanuel Macron affirmed Europe is “not blinded by regulation,” but has yet to convince the global tech world. Although the EU continues to pursue global standards with voluntary rules and plans for AI factories, skepticism from the US and industry indicates Europe must prove that strict regulation does not mean falling behind in…