Chinese open-weight AI model Qwen now leads Meta and Google in download volumes, becoming the default choice for new-age Indian BFSI players. Fintechs like Innoviti are rapidly adopting it for cost savings and RBI compliance, testing models and deploying in just three days. Legacy financial institutions, however, struggle with the tech chops and inherent distrust of Chinese models.
Qwen actually overtook Meta and Google's AI models in download volumes in August, just before Innoviti upgraded to its latest 3.8 version in early September. This open-weight approach makes model "weights" public, unlike open-source models, while keeping source code and training data proprietary.
The market will closely watch how quickly Indian AI makers can build trust and fill the existing gap, especially with legacy players who might face increasing pressure to modernize their stack by H2 2024. A key indicator will be the accelerated adoption rate within non-banking financial companies (NBFCs).
🇮🇳 Why This Matters for India
For founders building AI solutions in Bangalore and Hyderabad, this signals a massive opportunity to white-label Chinese models, offering the cost and control advantages that current Indian-made options struggle to match for financial services.
The Take
The winners here are clearly the deep-tech founders who understand how to integrate and secure these "bring-your-own-model" stacks. Legacy banks will continue to lose ground to agile fintechs, unless they acquire a capable AI services firm by early 2025.
Source:  The Ken ↗