Google's $190B AI Leap: Gemini 3.5 & Smart Glasses Unveiled | OWITH Daily

Good morning from OWITH.ai, the podcast that gives you only what's important to hear in the AI and tech world. Metropolis, an AI-powered computer vision infrastructure company, is revolutionizing the parking industry. By integrating AI, private equity, and traditional parking facilities into a novel business model, Metropolis addresses parking payment inefficiencies. The company processes $5 billion in annual payments and manages over 4,200 locations nationwide. Significant expansions include acquiring SP+, the largest U.S. parking network operator, and purchasing Israeli biometrics firm Oosto. Facing challenges such as a settlement with the Tennessee Attorney General and a federal class-action lawsuit, Metropolis is committed to balancing convenience with consumer privacy and trust. The growth strategy involves a "growth buyout" model that combines AI innovation with established operators to harness venture capital benefits while private equity mitigates risks. The aim is to reach 30 million platform members by year-end with potential IPO considerations. At the Google I/O 2026 event, Google showcased its dedication to AI advancements by revamping its search functionalities and introducing new AI models like Gemini 3.5 and "Gemini Omni." These innovations focus on enhancing natural language processing and video generation, along with creating persistent AI agents for productivity tools. Additionally, Google plans to launch AI-enabled smart glasses and a universal shopping cart. Supporting these initiatives, an investment of $180-190 billion in AI infrastructure has been announced. Meanwhile, Andrej Karpathy has joined Anthropic to lead pretraining research using Anthropic's Claude model. In parallel, SpaceX is preparing for an IPO expected to value the company at around $2 trillion and is planning to acquire Cursor, an AI coding startup. CEOs are increasingly adopting AI tokens as a form of currency within their organizations. This trend, known as "tokenomics," involves using AI tokens to track and incentivize AI technology deployment across departments. Notable examples include NVIDIA's CEO Jensen Huang providing tokens equivalent to half their salary to engineers, while Stripe's CEO Patrick Collison warns against "token pilfering." The focus is on maximizing the use and value of AI tokens while balancing costs with productivity gains. In related news, the Fortune Workplace Innovation Summit emphasized more frequent performance reviews over annual ones to better support employee development in today's fast-paced environment. A Pizza Hut franchisee is suing the parent company for $100 million over claims that its AI system granted third-party drivers order priority. Market updates show mixed global performance with slight gains in S&P 500 futures and European markets, while Asian indices experienced declines. Bitcoin's value stood at $77k. Other notable stories include a collaborative effort between Donald Trump and Mark Cuban on U.S. drug pricing and Goldman Sachs' positive assessment of the U.S. labor market post-ChatGPT launch. And that concludes our podcast episode for today. Stay tuned for more updates on what's shaping the world of AI and technology.Support the showThanks for listening! Follow us on Twitter, Instagram and Linkedin