India must leverage its data for access to top AI models

Apple is premium but needs a sales boost amid a shortage of chips

- RAHUL MATTHAN

ast week, I wrote about how frontier artificial intelligence (AI) has begun to improve exponentially—to the point where it is not just introducing linear improvements in functionality, but literally augmenting capabilities. Personally, this became evident when I realized I could code anything I could imagine, allowing me to create various applications and programs to eliminate micro-frustrations in my workflow. I am sure that those in other domains are experiencing similar capability uplifts.

According to scaling laws, a model’s performance will improve so long as increasingly large amounts of compute power and data are used to train it. For many years now, leading AI labs in the US have been proving that thesis at an eye-watering scale. It feels like those investments have begun to pay off, particularly over the past six months. Across the board, frontier models have begun to demonstrate dramatic improvements—both in the quality and accuracy of their outputs and in what they can do.

For countries like India, advanced AI that not only reduces friction but also unlocks brand new capabilities presents exponential opportunities for advancement. By blurring the boundaries between domains and professions, it can expand the scope of what is possible, allowing those who use it to do far more than before. This makes brand-new pathways available through which the potential of AI can be harnessed across all domains—from healthcare and education to governance.