The fear around AI and jobs is real — we hear it from almost every new student who walks through the door. But the founders and operators in our current cohort who are actively rolling this out inside their businesses are telling a completely different story. Here's what's actually happening on the ground: Automating calculations and logistics = employees freed for high-value work One operator in the group described a team member who spent roughly a third of her week on manual reporting and logistics tracking. Basic, repetitive, soul-crushing work. After a simple automation — nothing sophisticated, a straightforward data pipeline built in an evening — that time went straight into client development work that had been sitting on the backburner for months. Same person. Same salary. Completely different output. Simple data pipelines = bigger ROI than complex AI systems This one surprised a few people in the group. The assumption when you hear "AI transformation" is that the wins come from implementing cutting-edge models and sophisticated intelligence systems. In reality, the highest-ROI improvements are coming from basic automations that eliminate specific, repetitive friction points. The complex stuff comes later. The simple stuff unlocks enormous value immediately — and it's buildable by anyone in this community. AI coding tools = problems solved in hours not weeks When a non-technical operator can identify a business problem on Monday and have a working solution deployed by Tuesday afternoon — without a developer, without a ticket queue, without a two-week sprint — the entire innovation cycle inside a company changes. Problems stop accumulating. They get solved the day they appear. That speed compounds. Small automations compounding = organizations moving faster than ever No single automation transforms a business. But five of them running simultaneously — each eliminating a specific bottleneck — creates an organization that operates at a fundamentally different speed than its competitors. The businesses pulling ahead right now aren't the ones with the biggest AI budgets. They're the ones that built the first five automations and kept going.

AI avatars are moving faster than most people are tracking. We're already past "obviously synthetic." We're heading toward real-time interactive avatars that can hold live conversations with customers. After that — persistent digital identity. A version of you that carries your knowledge and communication style and can represent you at a scale you physically can't. That's not science fiction. That's a product roadmap. Some questions for the community: → Have you experimented with HeyGen, Happyverse, or any other avatar tool? What was your experience? → If you have clients — have any of them asked about AI video or avatar creation yet? What's the hesitation or the interest? → Where do you think the line is between useful digital representation and something that creates problems — ethically, legally, practically? → For those of you building agencies — are you including AI video in your service offer? If not, what's holding you back? We're going to be running a dedicated avatar and AI video session in the next Evening Lab cohort — if this is something you want to go deeper on, drop a comment below and we'll make sure to cover the questions this community is actually asking. And if you haven't been to a session yet — this one is worth showing up for in person. Seeing your own avatar on a projector screen in a room full of people building alongside you is a genuinely different experience from watching a tutorial alone. 🔗 Link in the community resources tab to grab a seat What's your take on where AI avatars are headed? Drop it below 👇

A voice agent that runs in the cloud, knows your business well enough to answer customer questions and close deals while you sleep. 📞🌙 At AI Start Academy we hand you the tools, the stack, and the live deployment — in one day. Here’s what you walk away with: ☎️ A real phone number — AI picks up every call 🗓 Google Calendar integration — books appointments automatically 🗣️ Cloned human voice — powered by ElevenLabs 🔄 n8n workflows — running 24/7 without you 🧠 RAG system — AI trained on YOUR business data

AISA presenting Interview Series: AI in Production. Our first guest - Paul Shaburov, a 26-year-old founder and CEO of Glam AI. He has a background in computer science, specifically in natural language processing and training chatbots. Glam AI is a consumer-focused, AI-content-first social media platform. The app currently has 16 million total downloads and 2.5 million monthly active users, generating 7 million pieces of content per month. In this video: Glam AI Overview Startup Iteration and Metrics Technological Innovations Future of Generative AI Business Operations Create your Gen AI visuals together with AISA Our workshops and events calendar: https://luma.com/aistartacademy

AI Start Academy was born in San Francisco, right in the heart of innovation and world-changing ideas. Our mission is simple: bring the latest knowledge from top Silicon Valley minds to the world. We invite leading experts, founders, and engineers to our SF classroom for live lectures, hands-on workshops, and behind-the-scenes insights. Every lesson is captured, refined, and shared with our global community — so you can access the same cutting-edge thinking that fuels the Valley. This community exists to ignite a new wave of entrepreneurs, builders, and professionals who want to learn, create, and grow together. 🌍✨ Let’s build a bright future together