Head over to our Events Portal to get the latest on upcoming AI Collective events near you. Search by city, date, or event format, and join thousands of builders at events across 100+ chapters on every continent (except Antarctica, for now).

HumanX week is just about here - and before we dive into sessions, announcements, and everything we’ve been building toward, we want to take a moment to recognize the partners who made this possible.

Use the link below to learn more about the killer lineup and agenda for the conference. And if you’ll be in SF, we’ll see you at HumanX 🤝

My journey into AI started long before the hype; shaped by 15 years at the intersection of marketing and technology. From NFCs and ERPs to chatbots and predictive systems, I’ve always focused on one question: how do businesses actually grow?

I was riding the wave before it became the wave. As one of the earliest adopters of large language models, I’ve used AI not just as a tool but as a thinking partner across strategy and decision-making. Through it all, one belief has stayed constant: technology should serve human progress, not define it.

That belief led me to build Segmentide in 2022, guided by the principle human-first, strategy always. Today, that journey has evolved into a free AI product that helps businesses understand how discoverable, trustable, and conversion-ready they are in an AI-driven world.

We’re currently inviting a small group of founders (DM if interested) to test, break, and shape it with us before a broader rollout. If AI is deciding who gets chosen, businesses deserve to know how they’re being seen.

I love creating spaces where people can both build and reflect. From hands-on AI builder sessions to thoughtful conversations about echo chambers, ethics, and mental health. Seeing non-technical professionals move from hesitation to curiosity and confidence is incredibly rewarding. Those moments remind me that technology doesn’t just change what we do: it changes how we think and feel.

At The AI Collective, I focus on making AI more understandable, usable, and inclusive; demystifying AI, especially for those who feel like they don’t belong in this space yet. AI isn’t just reshaping work; it’s reshaping how we think, decide, and create. That change demands not just tools, but perspective.

Communities like ours make AI less about gatekeeping and more about growing together. So, here’s a simple request: bring one person into this journey, someone curious but unsure. Ask them to bring one more. We’re not just building with AI; we’re learning how to stay human in the process.

Sora's estimated inference cost ran roughly $15 million per day, while total lifetime in-app revenue came in at $2.1 million. Downloads peaked at 3.33 million in November 2025, then dropped 66% by February. Day-30 user retention had fallen to single digits.

Disney's new CEO Josh D'Amaro, barely a week into the role, learned about the shutdown just 30 minutes after his team had been meeting with OpenAI about Sora's future. Disney's public statement was measured but pointed: "We respect OpenAI's decision to exit the video generation business." Needham analyst Laura Martin called it "an easy win" for D'Amaro — lowering friction with talent during active union negotiations.

OpenAI says the Sora research team will continue working on "world simulation research to advance robotics." Sam Altman teased a new model called "Spud" internally and outlined plans to merge ChatGPT, Codex, and the browser into a single product. The message is clear: consumer-facing AI video generation can't justify the compute it consumes. Coding, reasoning, and enterprise tools can. As Slate put it, the creative use cases are an invitation for lawsuits, while clerical tasks are straightforward and lucrative.

Across 15,000+ trials on ChatGPT-5 alone, and thousands more on other models, the researchers tested seven strategic tensions, exploration vs. exploitation, centralization vs. decentralization, differentiation vs. cost leadership, and four others. The results were striking: LLMs overwhelmingly favored differentiation over cost leadership, augmentation over automation, and long-term thinking over short-term execution. Only one tension, exploration vs. exploitation, showed genuine variation across models.

Changing the order of options accounted for about 19%, meaning models were partly just picking whichever option appeared more favorably positioned, not reasoning through trade-offs. When researchers removed the binary constraint, models fell into what the team calls the "hybrid trap": recommending mutually exclusive strategies simultaneously, like pursuing differentiation and cost leadership at the same time.

LLMs trained on internet text absorb the emotional valence of business discourse, where "collaboration" and "innovation" carry positive weight, while "commoditization" and "hierarchy" carry negative connotations. The result is advice that sounds sophisticated but directly contradicts established frameworks like Michael Porter's cost leadership strategy. The researchers' suggest that LLMs function like junior consultants repeating popular ideas, not critical strategists weighing trade-offs. For anyone using AI to inform business decisions, this is a calibration check worth reading.

Abhishek Kumar and Amrit Raj from Women in Product India hosted a curated, approval-only session for 60 women at Canvas Workspace. The workshop covered Claude Skills fundamentals and Kumar's DBS Framework for building practical AI skills: with live skill-building exercises throughout.

The room included lawyers, product leaders, data engineers, founders, and marketers. Kumar noted that the questions coming from attendees were grounded in real workplace challenges, legal briefs, stakeholder reports, content workflows, rather than theoretical curiosity. The kind of session where people leave with something they can use on Monday morning.

Sacramento's AI Collective chapter officially launched this week with its first meetup at All City Homes. Dennis Delgado kicked things off with live demos of an OpenClaw digital twin and automation workflows for UI/UX prototyping, giving the room a hands-on look at what applied AI looks like outside the Bay Area bubble.

The turnout brought a mix of local builders and curious newcomers, people who showed up with genuine questions about how to start building with AI, not just talk about it. Sacramento now joins the growing roster of AI Collective chapters bringing applied AI to their communities. If you're in the area, connect with the chapter to get involved.

The AI Collective, the world's largest AI community, in partnership with Jack & Jill and Burton Algorithms is coming to Stanford for something we've never done before. Our first Student and Early Careers Edition Pitch Night lands at Stanford's NVIDIA Auditorium on Thurs, April 2. No decks — just live pitches, live feedback from a stacked investor judge panel (hint: one is from one of the most selective accelerators in the Bay Area), and genuine networking afterward. Whether you're a student founder, actively hiring, or looking to break into the AI space, this is the room to be in. Food is on us starting at 6 PM.

Want to pitch? Apply through the link below — you don't need to be from Stanford, but slots are limited, so don't sit on this.

Want to attend? Come for the pitches, stay for the network. The room will be full of founders, operators, recruiters, and builders.

We're looking forward to seeing what you're building.

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Thank you to the thousands of volunteers around the world who make this work possible. We truly could not do this without you.