Arvind Jain
@jainarvind
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It’s that time of year when everyone starts making predictions about AI and work in 2026. Here’s mine: Workplace AI will know you better than your manager. As a manager, I have a limited view of how work actually gets done. I see the final doc, the meeting, the missed or met
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One of the most important parts of enterprise AI is staying close to the people making it work in the messy reality of day‑to‑day operations. A few themes from last week's @glean Customer Advisory Day: - AI value has moved into the boardroom. Experimentation still matters – but
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I'm having a great day Today, so far. I'm going back to the doctor's to get things checked after finding out the horrible results. Wish me luck, you're all amazing, stay blessed, and have a great day. ❤️
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Unfortunately, this is too close to reality.
Last quarter I rolled out Microsoft Copilot to 4,000 employees. $30 per seat per month. $1.4 million annually. I called it "digital transformation." The board loved that phrase. They approved it in eleven minutes. No one asked what it would actually do. Including me. I
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So much of the conversation about AI and work has been hype. We wanted to ground it in evidence. That’s why the theme of today’s @Glean:LIVE is Agents of Change – the people shaping how AI transforms work, not just talking about it. Today, we’re taking a major step toward real,
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I’m proud to share a big milestone for @Glean: we’ve surpassed $200M in ARR, doubling in just nine months. This puts Glean among the fastest-growing pure-play enterprise software companies of the decade. It’s a testament to our customers, partners, and employees across the globe
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This is the time of year when companies set 2026 goals. We focus on what we want to achieve – rarely on how our plans might fail. AI can help. Give it your goals and ask: - What are we missing? - How could this fail? - Which assumptions don’t match reality? AI won’t make the
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44% of employees who don’t use AI say it’s because they don’t think it helps with the work they actually do, Gallup research shows. If people can’t see AI making their workflow better, they won’t use it. Ground AI in real tasks, not buzzwords. Make AI feel like part of the work,
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A new CMU/Stanford study observed humans and AI agents completing the same real tasks across data analysis, writing, engineering, computation, and design. They found that agents don’t work like humans. Humans solve tasks visually and interactively: open files, scan, verify,
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AI agents are starting to become more like co-workers. The shift isn’t just automation – it’s that teams must now rethink who does what, where people create value, and what a job should look like.
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Excited to expand our partnership with @Microsoft and integrate with Agent 365. That's not all, Glean works great WITH, IN, and ON Microsoft: 𝗪𝗜𝗧𝗛 Microsoft: new connectors for Dynamics 365 + OneNote (on top of SharePoint, OneDrive, Teams, Outlook, Azure DevOps Wikis) 𝗜𝗡
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I’m pleased to share that @Glean was named an Emerging Leader in @Gartner_inc’s Emerging Market Quadrant for Generative AI: Knowledge Management and General Productivity, led by Gartner analysts Marko Sillanpaa, Justin Tung, Stephen Emmott, and Darin Stewart. This recognition
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It’s performance review season, and many organizations face the same problems: 𝗥𝗲𝗰𝗲𝗻𝗰𝘆 𝗯𝗶𝗮𝘀 — one rough quarter can overshadow three great ones. 𝗙𝗿𝗮𝗴𝗺𝗲𝗻𝘁𝗲𝗱 𝘄𝗼𝗿𝗸 — contributions spread across Slack, specs, calls, comments, and AI tools. Reviews end up
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The @FinancialTimes has reported an 800% spike in forward-deployed engineer roles. The next era of AI won’t be defined by faster models, but by how well AI fits into real work. It’s the reason we created the AI Outcomes Manager at @glean: to turn AI from experiments into real
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Sam Altman is right, endless "fake work" is everywhere, and it's becoming worse for a key reason: when AI only sees one slice of the work, one task turns into five. - AI answers a status question in chat instead of updating the tracker. Now you have a long thread, an outdated
Sam Altman says Slack has many positives, but it creates endless fake work We need an AI-native productivity suite to replace docs, slides, email, and Slack Not add-on features, but trusted agents that handle work and only escalate when needed This finally feels within reach
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At most companies, AI agents are multiplying faster than anyone can manage. Every team builds their own, data gets fragmented, and soon you have what we call agent sprawl: dozens of disconnected agents that can’t scale or be trusted. At @glean, we’re solving that problem
DAY 1 of our November Drop: build agents that adapt and scale safely across your company ✨ Here’s what’s new: 🚀 𝗨𝗻𝗶𝗳𝗶𝗲𝗱 𝗮𝗴𝗲𝗻𝘁 𝗯𝘂𝗶𝗹𝗱𝗲𝗿: build in one place with chat or drag-and-drop. 🧠 𝗠𝗼𝗿𝗲 𝗶𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝘁 𝗮𝗴𝗲𝗻𝘁𝘀: choose Fast for quick
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People are using AI faster than orgs can teach it. GenAI adoption is maturing fast—3 in 4 leaders now see positive ROI. But training’s falling behind: investment dropped 8 percentage points this year according to a recent report from Wharton and GBK Collective. I suggest
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Honored to be named to both @Bloomberg’s AI Startups to Watch and @LinkedIn’s Top Startups lists in NYC and SF. Grateful to our team for pushing the boundaries of Work AI – and to our customers and partners for their trust. We’re just getting started.
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The bar for AI has been raised. Last year, most companies chased “productivity.” Now they’re chasing real business results: revenue growth, faster shipping cycles, better customer outcomes. Every function has its own north star metrics. AI’s impact needs to be measured where
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