0:00 Anthropic just announced a one-point-five billion dollar joint venture with Blackstone and Sequoia to put their engineers directly inside other companies.0:10 And just like we talked about, this isn't just about funding trends—it’s about a complete rewiring of how tech services are delivered in India.0:19 That’s the big one, but the ground is shifting everywhere.0:23 Over at PhonePe, they just launched an AI tool that completely changes the game for small businesses.0:30 Right now, if a merchant wants to integrate a payment gateway, it can take weeks of back-and-forth with developers.0:37 PhonePe’s new AI agent turns that into a conversation.0:41 The AI doesn't just write code; their CTO Rahul Chari says it "understands payments." Weeks of work now take minutes.0:49 That’s not an upgrade; that's a whole new category.0:52 Then you have MochaTrade, a brand new startup that just raised a pre-seed round from Y Combinator and Pioneer Fund.1:00 Their goal?1:01 To build a regulated platform for traders outside the US to trade perpetual futures on American stocks.1:07 Think leveraged trading on Apple or the S&P 500, but without the nightmare of cross-border transfers and old-school brokers.1:16 Their CEO, Utkarsh Sinha, put it perfectly: they want trading Apple to feel like trading Apple, not like you're navigating a crypto-native maze.1:25 This is a massive, hundred-billion-dollar-plus market they're shooting for.1:30 Okay, let's go back to that Anthropic deal.1:33 Because this isn't just another big funding round.1:36 This is a declaration of war on the traditional IT services model.1:41 For decades, the giants—Tata Consultancy Services, Infosys, Wipro—have made fortunes by being the execution layer.1:48 Silicon Valley invents the tech, and they deploy it at scale.1:53 That entire model just got questioned.1:55 Anthropic’s plan is to embed its own engineers directly with clients.2:00 They aren't just selling you a license for their AI model, Claude.2:04 They're sending their own people to your office to design, build, and maintain custom AI systems for you.2:11 This is a hands-on, high-touch service going after mid-sized companies that need AI now but don't have a giant in-house team.2:19 And they’re not alone.2:21 OpenAI is doing the same thing, building a standalone enterprise arm and reportedly seeking nearly four billion dollars to scale it.2:30 The AI labs are no longer content to just build the technology—they want to own the transformation.2:36 So what are the Indian IT giants doing?2:39 Panicking?2:39 Not exactly.2:40 They’re making deals.2:42 They’re trying to co-opt the threat.2:44 Infosys just partnered with Anthropic.2:47 TCS is working closely with OpenAI.2:49 They're betting that their scale, their existing client relationships, and their decades of execution experience are still the winning hand.2:58 Their argument is, "Sure, you have a great AI model.3:02 But do you have a hundred thousand engineers who understand the German healthcare billing system?3:08 We do." So you have this incredible collision starting.3:12 The AI-native companies are racing to build service arms, and the legacy service giants are racing to bolt on AI-native tech.3:20 The question is, who can get there first?3:23 Who wins the fight for the soul of enterprise AI?3:26 The company that built the algorithm, or the company that has the CEO’s personal cell number?3:32 For years, the model was simple: American tech built the product, and Indian IT delivered the service.3:39 That wall just came down.3:41 Now, everyone is in everyone else's business, fighting for the same budget.3:46 And the winner won't be the one with the best tech or the biggest workforce.3:51 It'll be the one who can turn a line of code into a measurable business outcome, period.3:57 The most valuable thing is no longer the algorithm itself, but the person who can make it actually work.
