Syndication and co-investment for institutional venture capital.

KKR is set to generate a $3.3bn gain from the sale of USI Insurance Services to Aon in a $17bn transaction. The deal is expected to produce approximately $2bn in adjusted net income for KKR and a 3.4x return on the balance-sheet capital it invested in the business. KKR first

PLD Space, an Elche-based space transportation company, has extended its Series C funding round with an additional €108 million. The round was originally launched in March 2026. The extension was led again by Mitsubishi Electric Corporation, with Spanish public funds management

Nscale has closed roughly $3 billion in investment-grade debt to fund two GPU campuses in the United States, taking its total raised to more than $9 billion in under a year. The financing is split across two senior secured delayed-draw term loan facilities: up to $1.85 billion

UpGrad, led by Ronnie Screwvala, has completed its acquisition of Unacademy for just over $200 million. Unacademy had reached a peak valuation of $3.44 billion. The deal closed on Tuesday after months of on-and-off negotiations between the two companies. Unacademy became a

Félix, a Miami-based remittance platform for Latino immigrants, said on Tuesday it had secured $200 million in Series C funding co-led by Andreessen Horowitz and General Catalyst. A16z led an $87 million equity investment. General Catalyst's Customer Value Fund committed

1) Is AI going to be smarter in the future than it is today? Absolutely yes. 2) Is AI going to remember things about you? Yes. Increasingly, it will remember your context, preferences, history, and how you work. 3) Will AI control you, or will you control AI? More AI control, less human control. The more capable AI becomes, the more we’ll delegate to it. 4) Who will win: closed-weights or open-weights? Both. Think Microsoft and Linux. There will be domains and geographies where one is more preferred over the other. 5) Will AI be in the cloud or on the edge? Both - but we’ll see more AI on the edge. And a growing number of tiny, specialised AIs for specialised tasks. 6) Will there be technologies beyond LLMs? Yes. LLMs are largely about scale. Other models that aren’t as dependent on scale could change the game in more ways than one. 7) Will AI replace jobs? Yes - but more importantly, it will replace tasks. Some jobs will disappear. Many others will be completely redesigned. 8) Will every company build its own AI? No. Most companies will build on top of a few foundational models. The real differentiation will come from proprietary data, workflows, and distribution. 9) Will AI become an agent, not just a chatbot? Absolutely. The big shift is from AI that answers questions to AI that takes action. 10) Will intelligence become cheap? Yes. Intelligence will increasingly become abundant, accessible, and almost free at the margin. That changes everything. 11) Will data become more valuable because of AI? Yes - but raw data alone won’t be enough. The advantage will come from unique, high-quality data combined with the ability to turn it into intelligence. 12) Will AI become more personalised? Yes. The winning AI may not be the smartest AI. It may be the AI that knows you best. 13) Will AI make humans more productive? Yes. But productivity gains won’t be evenly distributed. The biggest advantage may go to people who know how to work with AI, not simply people who have access to it. 14) Will AI create new industries? Absolutely. Every major technology wave creates industries that were impossible to imagine before the technology existed. AI will be no different. 15) Will AI remain a tool? Probably not. The interesting question is when we stop thinking of AI as software we use and start thinking of it as intelligence we employ. 16) What will matter most in the AI race? Models will matter. Compute will matter. Data will matter. But distribution, trust, and the ability to turn intelligence into action may matter even more. #AI #ClearWater #Future