FT: “Wealth under management [in India] is expected to triple to more than $850bn in the next five years, according to broker and asset manager Motilal Oswal Financial Services. Property consultancy Knight Frank estimates the number of people in India with more than $30mn will rise by half to nearly 20,000 in the five years to 2028, the fastest pace globally and higher than the 28 per cent worldwide average.”
Alexander Doria: “If the model is the product, you cannot necessarily build it alone. Search and code are easy low hanging fruits: major use cases for two years, the market is nearly mature and you can ship a new cursor in a few months. Now many of the most lucrative AI uses cases in the future are not at this advanced stage of development — typically, think about all these rule based system that still rule most of the world economy… Small dedicated teams with a cross-expertise and a high level of focus may be best positioned to tackle this— eventually becoming potential acquihire once the initial ground work is done. We could see the same pipeline in the UI side. Some preferred partner, getting exclusive API access to close specialized models, provided they get on the road for business acquisition.”
VentureBeat: “AI eating applications creates an obvious power vacuum. Where does the value shift? Simple, control over: AI models: The entities developing the most advanced foundation models define the core intelligence layer; User interface and personalization: Whoever builds the most intuitive, AI-native interfaces will dominate engagement; Data and integration: AI thrives on access to real-time, proprietary data. Whoever owns the data pipelines controls the insights, the intelligence and, ultimately, the economy. But there is another force at play: Vertical AI solutions.”
Business Standard: “With rising debt and widening fiscal deficits, several states are being forced to reassess their welfare commitments. Populist schemes, once key to electoral victories, are now straining state finances, prompting governments to scale back subsidies, revise budgets, and rethink spending priorities. From Himachal Pradesh’s deepening revenue shortfall to Maharashtra’s cuts in social schemes, fiscal prudence is taking precedence over political pledges. The Reserve Bank of India (RBI) has repeatedly cautioned against the rising debt-to-GDP ratio in several states, warning that unchecked spending could lead to long-term financial instability. Official data shows that Punjab, West Bengal, and Kerala already allocate a significant portion of their revenue towards debt servicing, limiting their ability to fund new welfare initiatives. Experts argue that while social schemes are essential for inclusive growth, unchecked expansion without corresponding revenue growth could undermine economic stability. The challenge is clear—how can public welfare be sustained without pushing state economies deeper into crisis?”
Bloomberg: “Every time you type a question into ChatGPT, you are, probably without knowing it, making several monopolies richer. Actually, it’s no different if you use one of ChatGPT’s many competitors. Nearly all of them use chips from Nvidia Corp., which sells around 92% of the particular components — called artificial intelligence accelerators — that make chatbots function. Nvidia relies on a trio of partners to produce its semiconductors: South Korea’s SK Hynix Inc., Taiwan Semiconductor Manufacturing Co. and ASML Holding NV of the Netherlands. Each supplier has a market position almost as fortified as Nvidia’s, or even more so.”
