AI in India isn’t just about big tech labs or headline-grabbing breakthroughs; it’s reshaping careers, cities, classrooms, and everyday work in powerful ways. From developers rethinking their tools and IT majors changing hiring strategies, to women challenging bias in AI and startups innovating across sectors, from sports to weather forecasting, stories AIM reported in 2025 captured the shifting realities of India’s AI moment.
In this listicle, we look back at the most telling reads of 2025 on India’s AI ecosystem and where it’s headed.
1. Indian IT Doesn’t Care About 40-Year-Old Software Engineers
The article argued that India’s IT industry increasingly prioritises younger or adaptable workers, making it harder for software engineers over 40 to find roles unless they’ve moved into leadership or client-facing positions.
With AI reshaping tech work and firms favouring juniors or reskilled talent, experience alone often isn’t enough. Many mid-career professionals now must pivot into management roles, niche domains, or continuously upskill to stay relevant in the evolving job market.
2. Why Developers are Cancelling Cursor Subscriptions
This article delved into the phenomenon of developers cancelling Cursor subscriptions as its early hype fades.
Once praised for pioneering “vibe coding,” many users now report declining usefulness, frustrating performance, hidden or confusing costs, and a departure from a developer-first focus. These issues, discussed widely on Reddit and other forums, have led professionals to abandon the tool for more transparent, reliable alternatives.
3. World’s Biggest Tech Companies Are Rushing to Bengaluru, But…
In this article, we reported on how global tech giants are rapidly expanding in Bengaluru, transforming it from India’s Silicon Valley into a major AI and innovation hub. The city’s large tech workforce, affordable cost of living, competitive salaries, and vibrant ecosystem attract R&D centres, AI divisions, and major campuses. This growth lures startups and established firms alike, often making Bengaluru a preferred alternative to San Francisco for tech investment and talent development.
4. Why Developers Are Quietly Returning to VS Code and Ditching Cursor
Developers are increasingly returning to Visual Studio Code and leaving the AI-powered Cursor editor as Microsoft’s tool improves with features like Copilot and greater reliability.
In this article, we reported how many find Cursor less practical because of bugs, instability, and a less polished core editing experience. At the same time, VS Code’s familiar, stable environment with strong AI integrations meets their needs. This shift isn’t dramatic but reflects a preference for dependable tooling over flashy new alternatives.
5. Indian IT Majors Cut Visa Petitions by 44% in Four Years
The article highlighted that Indian IT majors have cut their US work visa (H-1B) petitions by about 44% over four years, reflecting a sharp reduction in reliance on foreign hires.
Data showed visa filings from top firms like TCS, Infosys and Wipro fell significantly, driven by stricter US immigration policies, rising costs, and industry shifts toward local hiring, automation, and remote delivery models, reshaping how Indian tech services deploy talent abroad.
6. How ‘Women in Cloud’ Flips the Script on AI and Gender Bias
The article highlighted how Women in Cloud tackles gender bias in AI by focusing on preparation, access, and community support for women in tech. The global network of women tech founders observed that AI often amplifies existing gender inequalities because biased data and systems disadvantage women, and that investment alone isn’t enough. Through mentorship, workforce development, and leadership programmes, Women in Cloud aims to empower women and create more inclusive AI innovation and opportunities.
7. STEM’s Surge Has a Name: The Sunita Williams Effect
The article explored how NASA astronaut Sunita Williams’ achievements have inspired a growing interest in STEM across India.
In her ancestral village in Gujarat and beyond, Williams is celebrated as a role model whose success motivates more girls and young people to pursue careers in science and technology. Her impact, along with that of other space pioneers, is credited with shifting gender ratios in engineering education and fueling a passion for space-related fields.
8. Meet Satya Nadella, The Developer Hiding in Plain Sight
Microsoft CEO Satya Nadella appeared in Bengaluru not as a distant tech leader but like an enthusiastic engineer, sharing and tinkering with AI projects. He starts his day experimenting with tools like Copilot and GitHub, building systems such as a multi-agent “LLM Council.” In this article, Nadella talked about his hands-on developer mindset, blending leadership with personal coding curiosity, and innovation in AI.
9. Why Chinese Talent Dominates Silicon Valley
The article explained why Chinese talent is prominent in Silicon Valley, highlighting strong STEM education, cultural emphasis on hard work, and elite university pipelines that produce world-class engineers.
Many Chinese professionals bring rigorous work ethics and technical excellence to top US tech firms, especially in AI, drawing major recruiters. This diaspora’s impact reflects deep education values and global mobility, contributing significantly to innovation hubs like Silicon Valley.
10. Why AI Can’t Fully Replace Traditional Weather Forecasting Yet
In this article, we highlighted AI’s promise for weather forecasting. However, it can’t fully replace traditional models yet, especially in India.
The main challenge is limited access to large, high-quality meteorological data, which hampers AI accuracy and adoption. Traditional physics-based forecasting remains essential for reliable, high-resolution predictions and critical warnings. AI tools are improving rapidly, but data bottlenecks and integration issues mean they still complement rather than replace conventional systems.
11. Grassroots to Glory: Growth of AI-Driven Sports Analysis in India
This article sheds light on how AI is reforming sports analysis in India by helping coaches and athletes interpret data from wearables, video footage, and historical records to improve performance, reduce injuries, and refine strategy.
Startups like ScoutEdge are filling data gaps, especially in tier-2 and tier-3 regions, though experts stress that human judgement remains crucial. While AI with computer vision is enhancing insights, adoption still depends on local context and expertise.
The post Top 11 AIM Articles That Captured India’s AI Turning Point in 2025 appeared first on Analytics India Magazine.
