Author: lethuphuong

📌 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…

📌 The AI Impact Summit 2026 gathered 86 nations to sign a declaration calling for safe and trustworthy AI, but lacked specific binding commitments. The US participated in the signing for the first time after opposing heavy-handed regulations at last year’s conference. The declaration calls generative AI an “inflection point” in technological evolution. The AI Now Institute criticized the declaration as “generic voluntary promises,” claiming it favors industry interests over public protection. Meanwhile, India is pushing an ambition to attract over $200 billion in AI investment within 2 years. Global focus is now shifting to governance, labor reskilling, and energy…

📌 Businesses are shifting from Human-In-The-Loop to AI-In-The-Flow because operational scale and complexity exceed manual oversight capabilities. While 70% have AI committees, only 48% have enforceable safety guardrails, making governance gaps a major barrier. AI now not only suggests but directly acts within defined boundaries. Success depends on operational design, embedded governance, and measurement by real business outcomes, not just model accuracy.

📌 White House Senior AI Policy Advisor Sriram Krishnan calls on the European Union to focus on innovation rather than tightening AI regulations. This shows that the US continues to oppose the EU’s 2024 AI Act, arguing that overly heavy regulations could drive entrepreneurs from Europe to the US. While the EU prioritizes risk mitigation, the US and India promote an approach leaning towards innovation and investment. The fact that the draft declaration of the AI Summit in India does not mention safety factors reflects a global trend shifting focus from risk management to economic development in the AI sector.

📌 Two Indian companies, Arinox AI and KOGO AI, introduced CommandCORE – termed the country’s first sovereign AI product – at the India AI Impact Summit 2026. CommandCORE features offline capabilities, processing from 1 to 405 billion parameters, with prices starting around $120,000. In a context where 88% of businesses worry about third-party AI integration risks and 95% of AI pilot projects fail, an edge model processing 30 TB of data/day on-site and sending only 200 GB to the cloud could create cost and security advantages. This is a move to localize enterprise intelligence rather than relying on global infrastructure.

📌 Singapore is focusing AI on 4 key industries: advanced manufacturing, connectivity, finance, and healthcare to create value and rapid impact, while offering a 400% tax deduction incentive (up to S 39,600 annually for 2027–2028) for SMEs. However, skills gaps, high costs, and integration risks are major barriers. Success depends on workforce upskilling, sector-specific playbooks, and ecosystem support to ensure AI delivers inclusive economic impact.

📌 In its IRS 990 filing for 2024 (filed in late 2025), OpenAI’s mission changed to “ensuring AGI benefits all of humanity” — dropping the word “safely” and the commitment to be “unconstrained by profit.” OpenAI’s removal of the word “safety” from its mission runs parallel to its restructuring to attract massive capital and a valuation exceeding $500 billion. Despite still claiming to value safety, the change in wording and control (the Foundation holds only 26%) raises questions about accountability. This is a critical test: Will AI be governed for social benefit or for shareholder profit?