Companies racing to launch data centers into orbit might spark a real-life Star Wars, an energy arms race playing out above Earth, and maybe a real Space War in the future to fight for dominance. Is space the answer for our energy-hungry AI future? Meanwhile, Google keeps shipping models at breakneck speed and now lets you build AI agents in minutes. Are they quietly becoming the AI winner? Let’s dive in and stay curious.
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Google launches Workspace Studio for no-code AI agents
Google introduced Workspace Studio, a new way to build AI agents across Gmail, Docs, Drive, and Sheets, no coding required. What it enables
Rollout
Bottom line: Workspace Studio makes automation accessible to everyone, turning Google Workspace into a powerful AI workflow engine. 🛠️ AI Jobs CornerApply Today - Open Positions.
Are we Ready for Star Wars?
AI data centers already draw tens of gigawatts of power, global DC capacity is ~59 GW today, and AI demand is projected to grow power use by ~50% a year through 2030. Grids, water for cooling, and local opposition are becoming hard constraints. Space flips the equation, allegedly:
That’s the backdrop for Google’s Project Suncatcher, Musk’s comments about orbital AI, Altman’s Dyson-sphere musings, and now his exploration of a SpaceX-style launch company. What’s happeningAI compute demand is exploding; a few companies are now pushing for data centers in orbit to take advantage of constant sunlight and avoid earth-based constraints (land, power, water, cooling). Who’s doing it & how
Pros
Cons
Realistic Timeline
Orbital data centers are not a quick fix, but a long-term hedging strategy against rising power, land, and water constraints for AI infrastructure. They make sense as high-value, high-compute wings specialized for workloads, research, or large-scale training, but they’re unlikely to replace Earth-based data centers wholesale for general-purpose workloads. AI Learning CornerAI Agent Building Courses.
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🚀 Showcase Your Innovation in the Premier Tech and AI Newsletter (link) As a vanguard in the realm of technology and artificial intelligence, we pride ourselves in delivering cutting-edge insights, AI tools, and in-depth coverage of emerging technologies to over 55,000+ tech CEOs, managers, programmers, entrepreneurs, and enthusiasts. Our readers represent the brightest minds from industry giants such as Tesla, OpenAI, Samsung, IBM, NVIDIA, and countless others. Explore sponsorship possibilities and elevate your brand's presence in the world of tech and AI. Learn more about partnering with us. You’re a free subscriber to Yaro’s Newsletter. For the full experience, become a paying subscriber. Disclaimer: We do not give financial advice. Everything we share is the result of our research and our opinions. Please do your own research and make conscious decisions.
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Thursday, December 4, 2025
🛰️Are we Ready for Star Wars?
Tuesday, December 2, 2025
👁️ Computer Vision is the Main Topic at NeurIPS 2025
👁️ Computer Vision is the Main Topic at NeurIPS 2025Plus: The Real AI Impact on jobs is way Bigger Than We Think
Hope everyone is well. I’m reporting from NeurIPS Mexico City, where hundreds of researchers and professors are gathering to share their research and latest work on AI. Computer Vision has been the main topic of the conference, highlighting the importance that this tech has on AV, robotics, and medicine. I will share more. Also, we share how AI is impacting Jobs worldwide, which is ~5x higher than we think. Let’s dive in and stay curious.
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Computer Vision is the Main Topic at NeurIPS 2025
This past Sunday, November 30th, I had the pleasure of facilitating my second LXAI workshop at NeurIPS 2025 in CDMX. NeurIPS, Neural Information Processing Systems (formerly NIPS), is a machine learning and computational neuroscience conference held every December. Along with ICLR and ICML, it is one of the primary conferences of high impact in machine learning and artificial intelligence research. The conference usually takes place in one centralized location, but this year, due to the US immigration situation, it was split between San Diego and Mexico City. The highlight of this year's conference, I feel it was Computer Vision. Most of the talks focused on newer technologies to train models utilizing images, videos, and 3D environments to improve output and to also find ways to save on energy and computer power usage, and streamline these training processes. As every December, thousands of researchers, professors, and students, as well as entrepreneurs from all corners of the world, meet at NeurIPS to share their work, network, and start new ventures and research. Nvidia was not left behind, obviously, unveiling 70+ papers and a powerful set of open-source tools across digital and physical AI. Highlights include
NVIDIA also earned top marks for openness from the new Artificial Analysis Openness Index. NeurIPS matters because it’s where breakthroughs launch, where top researchers stress-test ideas, and where the direction of AI is set for the year. On the ground this year, one trend dominates: computer vision everywhere, powering everything from AVs to robotics to multimodal reasoning. Both NeurIPS conference locations are strong right now until the end of the week. Being here allows my team and me to dive into the future of AI, talk to researchers who are driving this technology, and network to remain on top of it. I will continue to share more with you. 🛠️ AI Jobs CornerApply Today - Open Positions.
The Real AI Impact on jobs is 5× Bigger Than We Think
Project Iceberg, a recent study by MIT, introduces the Iceberg Index, a new KPI that measures how much of each job’s wage value comes from skills AI can already perform, instead of waiting for layoffs or unemployment data. Using 151M workers, 923 occupations, 3,000 counties, 32k skills and 13k+ AI tools, the team simulates the U.S. labor market on the Frontier supercomputer and finds that the visible AI disruption in tech is just the tip of a much larger iceberg: current AI adoption in computing and tech jobs accounts for only 2.2% of total wage value (~$211B), while technical capability across admin, finance and professional services reaches 11.7% (~$1.2T), about 5× larger and spread across every state, not just coastal hubs. Traditional metrics like GDP, income, and unemployment explain under 5% of this variation, meaning policymakers and businesses relying only on standard stats are missing where AI exposure really is. The Index doesn’t predict job losses; it maps where human and AI skills overlap, so leaders can simulate scenarios, spot “automation surprise” regions (e.g., Rust Belt states with big hidden white-collar exposure), and target training, infrastructure, and reskilling before disruption shows up in the data. Stats to keep in mind:
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🚀 Showcase Your Innovation in the Premier Tech and AI Newsletter (link) As a vanguard in the realm of technology and artificial intelligence, we pride ourselves in delivering cutting-edge insights, AI tools, and in-depth coverage of emerging technologies to over 55,000+ tech CEOs, managers, programmers, entrepreneurs, and enthusiasts. Our readers represent the brightest minds from industry giants such as Tesla, OpenAI, Samsung, IBM, NVIDIA, and countless others. Explore sponsorship possibilities and elevate your brand's presence in the world of tech and AI. Learn more about partnering with us. You’re a free subscriber to Yaro’s Newsletter. For the full experience, become a paying subscriber. Disclaimer: We do not give financial advice. Everything we share is the result of our research and our opinions. Please do your own research and make conscious decisions.
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