Plan B for Apple shift, Rs 20,000 Crore startup IPO boom, GenAI jolts IT giants
- China recalls 300 engineers from India’s iPhone factories, risking delays in Apple’s production shift plans.
- Startups like Meesho and PhysicsWallah eye IPOs worth Rs 20,000 crore, signaling strong investor confidence.
- Sarvam AI begins building India’s first sovereign LLM under a Rs 1,500 crore govt mission, as GenAI reshapes the IT sector.
India has a strategic opportunity as Foxconn has recalled over 300 Chinese engineers and technicians from its iPhone manufacturing facilities in southern India. The move, reportedly prompted by China’s tightening controls on exporting skilled labor and technology, arrives at a crucial moment when Apple is ramping up iPhone 17 production in India.
Though Taiwanese staff remain, experts warn this could slow assembly-line training and raise production costs even as product quality stays stable. Apple’s plan to shift a major share of U.S.-bound iPhone output to India by 2026 may face delays as a result.Meanwhile, more than a dozen startups, including Meesho and PhysicsWallah, are preparing for initial public offerings totalling nearly Rs 20,000 crore. The IPO wave reflects growing investor interest in India’s vibrant startup ecosystem, signaling confidence in digital-native companies scaling toward public markets.
In another major shift, generative AI is transforming India’s IT landscape. Companies are increasingly using AI-driven tools for coding, testing, and support reducing dependence on mass hiring and reshaping talent strategies. This trend is pushing IT firms to innovate in employee structure and compensation models.
Finally, Sarvam AI has begun training India’s first sovereign large language model (LLM), supported by a Rs 1,500 crore government initiative under the IndiaAI Mission. Bengaluru-based Sarvam AI has been selected to build the model domestically, with access to thousands of Huawei H100 GPUs over six months. The model, expected to support reasoning, voice-based interaction, and multiple Indian languages, aims to achieve population-scale deployment. Sarvam has already launched Sarvam-M, a 24-billion parameter multilingual LLM fine-tuned over Mistral, which has outperformed benchmarks in math, programming, and Indic language understanding. The company plans to release larger variants Sarvam-Large, Sarvam-Small, and Sarvam-Edge to cater to diverse applications, reinforcing India’s push for AI self-reliance.
These developments reflect a transformative inflection point: manufacturing expansion, capital market engagement, and technological innovation are all advancing simultaneously. India’s tech and startup ecosystem is navigating global shifts and leveraging domestic momentum, signaling readiness for its next phase of growth.
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