Podcasts

I just built this AI Toolbox prototype in under 2 hours using Google’s Antigravity. But it still needs months of real engineering work. The app takes user inputs and generates strategic outputs, including downloadable PowerPoint slides. Tools like Antigravity, Cursor, and GitHub Copilot have dramatically reduced the time to test ideas. 𝗪𝗵𝗮𝘁 𝘂𝘀𝗲𝗱 𝘁𝗼 𝘁𝗮𝗸𝗲 𝗱𝗮𝘆𝘀 𝗼𝗳 𝘀𝗲𝘁𝘂𝗽 𝗻𝗼𝘄 𝘁𝗮𝗸𝗲𝘀 𝗵𝗼𝘂𝗿𝘀. For validation, that’s genuinely useful. 𝗜’𝗺 𝘁𝗿𝗲𝗮

AI + AR glasses are evolving fast and three different strategies are starting to shape what work might look like next. Meta 𝗶 𝘀 𝗯𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝘁𝗵𝗲 “𝗲𝘃𝗲𝗿𝘆𝗱𝗮𝘆 𝗮𝘀𝘀𝗶𝘀𝘁𝗮𝗻𝘁.” Meta's Orion smart glasses now handle translation, messaging, navigation, and hands-free creation. In the future these will be paired with Meta’s neural wristband (EMG), moving toward subtle, almost invisible input (tapping a finger instead of pulling out a phone). Amazon 𝗶 𝘀 𝗼𝗽𝘁𝗶

Everyone's talking about AI replacing jobs. McKinsey's 60-Page Research reveals something far more nuanced and frankly, more useful for leaders navigating this shift. The real story in the data: 57% of US work hours could be automated. But the skills behind that work aren’t going away. 72% of skills show up on both sides of the automation line. Most skills won't disappear, they will evolve. Three key insights that shifted my thinking: 𝟭/ 𝗧𝗵𝗲 𝘂𝗻𝗶𝘁 𝗼𝗳 𝘁𝗿𝗮𝗻𝘀𝗳𝗼𝗿

Autopilot has been standard since the 1980s. The tech can land a plane in zero visibility. Yet, the humans remain. They remain because while the machine handles the routine, we demand human judgment for the unexpected and human accountability for the risks. 𝗧𝗵𝗶𝘀 𝗽𝗿𝗲𝘀𝗲𝗻𝘁𝘀 𝗮 𝗽𝗲𝗿𝗳𝗲𝗰𝘁 𝗰𝗼𝘂𝗻𝘁𝗲𝗿-𝗮𝗿𝗴𝘂𝗺𝗲𝗻𝘁 𝘁𝗼 𝘁𝗵𝗲 𝗻𝗮𝗿𝗿𝗮𝘁𝗶𝘃𝗲 𝘁𝗵𝗮𝘁 𝗔𝗜 𝘄𝗶𝗹𝗹 𝗿𝗲𝗽𝗹𝗮𝗰𝗲 𝘂𝘀 𝗮𝗹𝗹 𝗼𝘃𝗲𝗿𝗻𝗶𝗴𝗵𝘁. According to insights in the MIT Sloan Manage

Have you ever sat through a presentation where questions are saved for the end? Then someone asks what feels like a planted question, and the presenter responds, "That's such an insightful question..." This rigid, performative dance is a symptom of a deeper design flaw == organizations built for stability in a world that now rewards adaptability. In fact, AWS strategists Jana Werner and Phil Le-Brun argue that most companies fall into one of two archetypes. And knowing which

How would you feel if you knew this post was written by AI? Would that feeling change how you used AI yourself? Put differently: would knowing others might judge you for using AI make you hide it? We're watching "thinkfluencers" make deliberate typos to prove they're human. People are frantically removing em dashes (== "—") from their writing (apparently OpenAI finally found a fix for that tell).  It’s amusing BUT what we see online is only the surface ripple of a much larger

Here's something personal. Growing up in Mumbai in the 1980s, we didn't have much. But my parents gave me something that turned out to be more valuable than any inheritance: permission to be curious. That curiosity never left. Four postgraduate programs. Executive courses at MIT Sloan Executive Education. Countless books and online programs. My wife jokes that I'm allergic to standing still. But here's what I've learned about learning itself: 1/ It changes how you see problem

AI is changing work quickly. The part we talk about less is how it changes us too. Almost a decade back, when I went to a 'digital transformation' class at MIT delivered by Professor Hal Gregersen. I expected a deep dive a technical framework to manage enterprise change. What I experienced was more personal. Hal invited us to examine our identities, the roles we hold, and how disruption forces us to rethink who we are. More recently, I listened to a Hidden Brain conversation

Every CEO call now sounds less like a financial update and more like a playbook for the future of intelligence: data centers + agents + robotics ... IoT Analytics scan of CEO conversations this quarter confirms the transformation I wrote about in early 2024. 𝗧𝗵𝗿𝗲𝗲 𝘀𝗶𝗴𝗻𝗮𝗹𝘀 𝘀𝘁𝗼𝗼𝗱 𝗼𝘂𝘁: 𝟭/ 𝗗𝗮𝘁𝗮𝗰𝗲𝗻𝘁𝗲𝗿𝘀 𝗮𝘀 𝗳𝗿𝗼𝗻𝘁𝗹𝗶𝗻𝗲 → CEOs now talk about capacity and power as existential constraints. Ford’s Jim Farley even flagged the lack of labor to buil