Atomicwork @atomicworkhq

Every generation thought their change would be the one that broke us. The farmer watched the tractor. The scribe watched the press. Our Chief Business Officer, Lenin Gali, writes about the AI fear and how we've overcome every other fear before this x.com/i/article/2080…

The difference between a good answer and the right answer is... Context! When an AI coworker picks up a request, it already knows who's asking, what policies apply to them, what their history looks like, and what systems are in scope. Because the AI coworker walks in already knowing! This is what separates an AI coworker from a chatbot. It doesn't just respond to the ticket. It understands the situation behind it. Know more about the AI Workforce here 🔗 atomicwork.com/features/ai-wo… #AtomicworkForce

Nobody has read the ITIL manual cover to cover. Everyone has an opinion on it anyway. That's the joke at the heart of this one. Our Product Managers Akshay Kulkarni Gautham Menon, and Krishna Pramodh, got together to argue about what AI coworkers are actually doing to ITSM, and it got spicier than expected: → Tickets got cast as the villain of enterprise IT. We think that's slander — turns out nobody actually wants to lose the paper trail; they just want the paperwork to disappear. → Governance isn't just for the one bad actor on your team anymore. It's for the AI that thinks rebooting a VM at 2am is a great call. → Change management used to be a locked door with one gatekeeper. Now employees are getting a key, and IT is (nervously) fine with it. Boldest claim in the room: within a couple of years, you won't just use AI coworkers, you'll manage two of them. Full conversation is live on YouTube. Watch now 🔗 lnkd.in/di-S25Jx

What’s in a name, they said.

travis kalanick @travisk

3 days ago

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The hard part of enterprise AI was never spinning up an agent, it's governance. This was the crux of the Builders' panel from last year's edition. The moment an agent reaches into your sales data, your product data, your usage data, sitting across a dozen disconnected silos, the real question becomes who's allowed to make that update, and how do you prove it. That's the problem @TheDeepti , Founder and CEO of @snowleopardai , and the panel kept circling back to. FUSION'26 picks up exactly where that left off. It's built around the new workforce operating model and how humans and AI move from experimentation to production, together, at scale. This year's edition is only getting bigger. Request an invite: atomicwork.com/fusion#reg-form #FUSION26

Every org already has AI agents doing real work. Almost none have decided who's accountable when one gets it wrong. That's the gap between an "AI agent" and an "AI coworker" and it's the difference IT leaders need to sort out now, not after something breaks. @AparnaChugh (Head of Product) is breaking down how to give AI coworkers real scope, a budget, and a human manager, the same structure you'd give any new hire. What you'll leave with: → A framework for choosing which role to hand off first → How to tell if an AI coworker is actually doing the job → What "managing" a hybrid workforce looks like in practice August 4, 2026 | 8:30 AM PDT Save your spot: brighttalk.com/webcast/20429/…

AI narrative violation and a healthy one. Kimi K3 just landed - a 2.8T open-weight model from Moonshot AI that beat over every leading US model in blind front-end coding tests. At roughly 1/5th the price of the frontier closed models. Three things this breaks: 1. The margin story - When open weights match closed frontier performance, premium pricing needs a new justification. Capability alone won't carry it anymore. 2. The "China is 12 months behind US AI" story - They're not behind. They're shipping frontier intelligence, in the open, on a faster cadence. 3. The duopoly story - Notice who the comparisons are against for Kimi K3, Anthropic and OpenAI. The US frontier labs competitive margin is eliminated with Kimi-K3. Google isn't even the reference point in this conversation. Sad for a company that invented Transformers, architected TPUs and assembled deep AI talent. Incumbency doesn't mean pole position win. For those of us building around open weights and multi model architecture, this is unambiguously good. Intelligence is getting cheaper, faster and more open. And the moat was never the model.

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We debuted with FUSION last year and struck gold! 100+ CIOs. Zero surface-level talk. A room that turned "AI is coming" into "here's exactly how we're doing it" — live, on stage! This year, we're going deeper. FUSION'26 lands September 29 at the Palace Hotel, San Francisco — a forum for the CIOs and technology leaders architecting the new workforce operating model: how humans and AI actually build and ship together at scale. Joining us are leaders from Anthropic, Google, Microsoft, Okta, OpenAI, and Zuora. Here's the highlight reel from where it all started. Check out what we've got in store for you this year - atomicwork.com/fusion Featuring the leaders at our first edition🏅 Jeff Teper (President, Microsoft), Deepti Srivastava (Founder & CEO, Snow Leopard AI), Rishi Bhargava (Founder, Descope), Shuhao Zhang (CPO, TinyFish), Sudarshan Kamath (Founder, smallest.ai), Chad Ghosn(AMMEX Corporation), Mark Gill (Zuora), Patrick Young (Skydio), Venky Rangachari (Hewlett Packard Enterprise), Sunil Potti (ex-Google), Sanjay Jeyakumar (CTO, Abnormal AI), Anthony Trask (ŌURA), Gregory Keller (JumpCloud), Karthik Chakkarapani (CIO, Zuora), Robert Strong @amnigos @kirandarisi @parsurv @leningali @AparnaChugh

Dry powder has a carry cost in AI. IT advantage for business compounds through production feedback loops, not evaluation cycles. Today, support and service operations are easy picks for any CIO. Reversible bets with measurable ROI beat waiting for the stack to stabilize.

Nikesh Arora @nikesharora

a week ago

The CIO mindset - CIOs are busy nowadays. CEOs want progress on AI, their C-Suite peers want AI transformation resources, and everyone wants to move fast. On the other hand the AI landscape is far from static, coding is a real use case, but costs are rising and headcount

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🗣️ "The version of work that existed before, it mattered, it's changing, and it's a real thing that deserves to be said out loud." Last year, we sat down with Paul Brandvold and Indi Catrina and talked about the quiet toll of working in IT — the burnout nobody notices, the work that goes unseen, the people holding everything together while nobody holds them. It resonated more than we expected. So we came back with a year's worth of industry change sitting between us! What followed was one of the most honest conversations we've had. Here's what we took from it. Riya Sebastian, Product Marketer and the host of this conversation, writes about it here 🔗 atomicwork.com/blog/mental-he…

Nightly cleanups, weekly reviews, monthly audits. Set it once, let it run forever. Know more about the AI Workforce here 🔗 atomicwork.com/features/ai-wo…

Last year, we launched our annual conference, FUSION'25, and little did we know that it would encapsulate the exact shift IT leadership was living through. 100+ leaders, one room, real playbooks! More on this year soon, but here's a lookback at everything that went down last year 🔗 lnkd.in/dRwSG8-Q Rest assured, this year's lineup of panels and speakers is stellar. Stay tuned.

Your AI agents can already run a workflow end-to-end. The question IT leaders haven't answered yet: who manages them? Join @AparnaChugh (Head of Product) and Riya Sebastian (Product Marketing) at Atomicwork for a live session on what it takes to run a hybrid human-AI workforce. You'll walk away with: → What it means for IT to manage humans and AI coworkers side by side → A path toward autonomous operations for your org → The real difference between an AI agent and an AI coworker → A framework for picking the first role to hand to an AI coworker and how to know it's working ⏰ August 4, 2026 | 8:30 AM PDT | 9 AM IST Save your spot 🔗 atomicwork.com/lp/ai-workforc…

The Rise Of The Agent Manager In The Modern Enterprise hubs.li/Q04nQbl20 Written by @leningali of @atomicworkhq

Describe the role in a few sentences. The rest writes itself! ❤️ Identity — who they are, how they speak, where they belong. ❤️ Goal — what they own, what they won't cross. ❤️ Skills — the procedures they know, built once and reused everywhere. ❤️ Tools — your apps, via native integrations or MCP. Check out the AI Workforce here 🔗 atomicwork.com/features/ai-wo…

We didn't need to climb 1,454 feet to prove a point — automating your IT tickets already gets you there.

Your AI Coworkers live in Atomicwork. But they work from wherever you do... One message to Claude and a ticket assigned to your Network Engineer AI Coworker directly from the chat you already had open. That's what MCP-native means in practice - your whole AI Workforce, accessible from Claude, Cursor, Codex, or any MCP-compatible client. The work happens in Atomicwork. You never have to leave where you are! Your AI Workforce is already waiting. Meet the team → atomicwork.com/ai-coworkers

Every great team has that one person who just handles things. Tickets don't pile up on their watch. They know who to loop in, when to escalate, and how to close the loop without being asked. They just get it done! That's what an AI Coworker is. Except now your whole team has one. Meet your AI Coworkers 🤝lnkd.in/dUy3ggnq

Happy 250th 🇺🇸. Every generation here reinvents how work gets done across the world. Railroads. Assembly. Finance. Software. Internet. Now AI. May the experiment continue for the next 250!