English PSSSB Practice 93

The global current affairs surrounding Artificial Intelligence (AI) in 2025 are characterized by a definitive pivot from unrestrained technological advancement toward regulatory compliance and intense geopolitical competition. This crucial shift is spearheaded by the European Union (EU) AI Act, which began imposing its first mandatory obligations in early February 2025, establishing the world's first comprehensive, risk-based legal framework for AI and setting a global compliance standard. Contrastingly, the US regulatory landscape remains highly fragmented, driven by a patchwork of state-level laws addressing specific friction points like clarifying IP ownership of AI-generated content (e.g., Arkansas) or mandating safety standards for critical infrastructure control systems (e.g., Montana). Simultaneously, nations like India are focused on achieving "Sovereign AI" capabilities through initiatives like the IndiaAI Mission, which prioritizes the development of indigenous models and ensures democratized access to high-performance computing via open GPU marketplaces. Economically, Generative AI continues to promise substantial long-term benefits, projected to permanently elevate compounded global GDP levels by 1.5% by 2035. However, this economic promise is immediately complicated by a K-shaped labor market transformation, where automation risk is heavily concentrated among high-skill knowledge workers; roles in computer/mathematical and engineering fields, for instance, face automation exposure rates as high as 32% and 21.7% respectively. Technologically, the leading trend is the rapid ascent of Agentic AI-autonomous systems capable of executing complex, multi-step goals-which are predicted to move quickly into mainstream corporate deployment by 2026. This progression exponentially raises the stakes for governance, as experts have warned that AI-driven decision-making will likely result in "catastrophic loss" by 2026, due to technological velocity outpacing current regulatory oversight. Ethical debates remain polarized, with a heavily funded discourse focusing on the speculative, long-term Existential Risk of uncontrolled superintelligence (AGI) , which critics argue often distracts political and financial resources away from mitigating immediate, demonstrable societal harms such as algorithmic bias and data privacy breaches that are already impacting communities today. Navigating this multi-polar regulatory landscape, managing socioeconomic disruption, and establishing dynamic governance for increasingly autonomous systems defines the core current affairs challenge of the mid-2020s.