14 of 14 posting · 139 posts · 1 Jul to 1 OctSince 1 Jul6 weeks4 weeks2 weeks
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Dan ShaperoComplete201 Oct, 10:342026-04-29T23:21:13.085000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved. Friday-habit card recaptured from live DOM after load completion.
Ryan RoslanskyComplete121 Oct, 10:332026-06-16T17:43:25.396000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Erran BergerComplete181 Oct, 10:342026-06-23T16:13:51.896000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Anthony ChavezComplete11 Oct, 10:322026-05-30T00:35:06.094000+00:00Reached below July1; oldest_reached activity-ID inferred. Same one observed post as previous window, text and permalink previously checked.
Matt DerellaComplete151 Oct, 10:302026-06-16T16:43:13.505000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Teuila HansonComplete11 Oct, 10:332026-04-03T17:02:06.936000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Raghu HiremagalurComplete11 Oct, 10:332016-04-01T00:24:04.551000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Jessica JensenComplete221 Oct, 10:342026-06-16T16:10:26.760000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Blake LawitComplete71 Oct, 10:332026-06-17T14:30:01.261000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Nicole LeverichComplete161 Oct, 10:352026-06-18T19:22:04.955000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Jordan LevyComplete11 Oct, 10:342025-04-23T20:16:45.841000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Mark LoboscoComplete91 Oct, 10:352026-06-02T19:11:56.204000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Archana SekharComplete21 Oct, 10:332025-04-23T17:17:26.474000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Hari SrinivasanComplete141 Oct, 10:332026-06-01T01:06:12.712000+00:00Scrolled beyond July 1 cutoff with older-post buffer; activity-ID date inference, relative labels preserved. Missing counts null; plain-repost metrics belong to original. Own text expanded and checked; URLs resolved.
Latest collection runs
1 Oct, 10:33Hari Srinivasancomplete14 seen4 new0 rejected
1 Oct, 10:34Jessica Jensencomplete22 seen1 new0 rejected
1 Oct, 10:34Dan Shaperocomplete20 seen0 new0 rejected
1 Oct, 10:34Dan Shaperocomplete20 seen1 new0 rejected
1 Oct, 10:35Mark Loboscocomplete9 seen1 new0 rejected
1 Oct, 10:30Matt Derellacomplete15 seen1 new0 rejected
1 Oct, 10:35Nicole Leverichcomplete16 seen0 new0 rejected
1 Oct, 10:34Jessica Jensencomplete20 seen8 new0 rejected
1 Oct, 10:34Dan Shaperocomplete18 seen8 new0 rejected
1 Oct, 10:35Nicole Leverichpartial16 seen8 new0 rejected
1 Oct, 10:30Matt Derellacomplete14 seen7 new0 rejected
1 Oct, 10:34Erran Bergercomplete18 seen11 new0 rejected
1 Oct, 10:33Ryan Roslanskycomplete12 seen6 new0 rejected
1 Oct, 10:33Hari Srinivasancomplete10 seen3 new0 rejected

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Jessica Jensen30 SeptTalent ConnectAI hiring productsAI and the future of work
If you’re not tuned into #TalentConnect…you’re missing out 👀 It’s been so great to spend time with talent leaders discussing how jobs, skills and businesses are changing. AI has a hand in this, but it’s not the whole story. Hiring is down 30% globally, but… moreIf you’re not tuned into #TalentConnect…you’re missing out 👀 It’s been so great to spend time with talent leaders discussing how jobs, skills and businesses are changing. AI has a hand in this, but it’s not the whole story. Hiring is down 30% globally, but applications per applicant are up 30%, compared to pre-pandemic levels. AI has created nearly 2 million new jobs globally in just over three years (!), and the skills employers are looking for are changing twice as fast as the skills U.S. workers are adding to their profiles. (Add your AI skills to your profile folks!) Recruiters are feeling it! They’re at the center, making sure their companies have the skills and teams needed for what’s next. We’re excited to introduce Hiring Assistant 2 to help recruiters spend less time on the mechanics of hiring and more time on the decisions that need their judgement. There’s a lot more to come from #TalentConnect. Join the livestream now: https://lnkd.in/da7AVYP4
253 reactions · 10 comments · 3 repostsOpen on LinkedIn
Mark Lobosco30 SeptAI hiring productsTalent ConnectAI and the future of work
Day 1 at Talent Connect reinforced a simple idea: in the AI era, the workforce you build determines the growth you achieve. As skills and business needs evolve faster than ever, business leaders are shifting from asking "Who should we hire?" to "What… moreDay 1 at Talent Connect reinforced a simple idea: in the AI era, the workforce you build determines the growth you achieve. As skills and business needs evolve faster than ever, business leaders are shifting from asking "Who should we hire?" to "What capabilities do we need to win?" We introduced Hiring Assistant 2 to help organizations build the workforce they need to compete and grow in a rapidly changing market. Learn more below, and let me know in the comments how is talent becoming a bigger part of your business strategy? https://lnkd.in/eCjKbMzZ
213 reactions · 2 comments · 4 repostsOpen on LinkedIn
Mark Lobosco23 SeptTalent ConnectAI and the future of work
It’s almost time! #TalentConnect is one of my favorite events of the year because talent leaders from the world's leading companies come together to tackle some of the biggest questions around how work, skill building and hiring are changing in the AI era.… moreIt’s almost time! #TalentConnect is one of my favorite events of the year because talent leaders from the world's leading companies come together to tackle some of the biggest questions around how work, skill building and hiring are changing in the AI era. How is work changing for professionals? How are businesses adapting? And how are leaders building the workforce their businesses need to compete and grow? There’s a lot to unpack, and I’m looking forward to connecting and seeing many of you in New York. Hope you can join us in person or virtually: https://lnkd.in/eUTrsVbV
155 reactions · 1 comment · 6 repostsOpen on LinkedIn
Hari Srinivasan20 SeptAI and the future of work
A few observations after a couple weeks with the new set of personal agents (Muse, Instinct, OAI, etc.): - These agents are going to save us time by knowing a lot about us. Trust is earned, but even without handing over access to my email, it's clear an… moreA few observations after a couple weeks with the new set of personal agents (Muse, Instinct, OAI, etc.): - These agents are going to save us time by knowing a lot about us. Trust is earned, but even without handing over access to my email, it's clear an agent can simplify booking a restaurant with basic context on my family, what time we eat, our favorite places, etc. - Our agents will know each of us, but will not know everything about the world; for example, which restaurant has a table. So they will need many connectors to the world. - The most important 'ux' element for any site that connects with personal agents will be agent management. When thousands of personal agents call the local sushi restaurants as soon as reservations open, who gets the table, how do you manage no-shows, and how do you even know which agent is real? - There is a whole series of agent management mechanisms that will be developed over the next few weeks/months to solve these problems. - Many places without these mechanisms are going to get flooded by these agents. They can opt out, but will lose demand. So there will be a healthy market for solutions that successfully use AI to manage AI.
254 reactions · 45 comments · 1 repostOpen on LinkedIn
Matt Derella19 SeptRepost with commentarySales and ads productsAI and the future of work
“Information is the new bid” and many other gems on AI and Advertising from my teammate Tim Frank in conversation with AdExchanger
Tim Frank
AI is changing every layer of the internet: how people discover, evaluate, and ultimately transact. I had a far-ranging conversation about the emerging AI… moreAI is changing every layer of the internet: how people discover, evaluate, and ultimately transact. I had a far-ranging conversation about the emerging AI economy with Allison Schiff at AdExchanger about what that means for brands, publishers, and commerce. We covered: • The three eras of the internet: human, LLM, and agentic, and how that plays out for brand discoverability • How bot traffic overtaking human traffic changes the discovery equation • The reality that information quality is becoming the new bid • That interviewing AI models is an important component of market research • Why open standards, such as the Universal Commerce Protocol are so critical to give AIs the ability to take action The shift can sound abstract, but my family experienced a small version of it this summer. We used AI to find specialty shops in New York based on things we already liked. It narrowed the options and helped us plan. Then we did the human part: walked around, explored, and bought a little more than planned. :) That balance of spending less time navigating complexity and more time enjoying the experience is where this gets interesting. Links: • Article: https://lnkd.in/gBKhTPe5 • YouTube: https://lnkd.in/gR4dsnax
28 reactions · 5 comments · – repostsOpen on LinkedIn
Dan Shapero19 SeptRepost with commentaryAI and the future of work
This is a version of unbundling, which happens all the time in markets and can be incredibly strategically disruptive… the most valuable components of a product are carved out and performed by a faster/cheaper/better solution. I think Ethan is right to call… moreThis is a version of unbundling, which happens all the time in markets and can be incredibly strategically disruptive… the most valuable components of a product are carved out and performed by a faster/cheaper/better solution. I think Ethan is right to call out this trend for certain jobs, which will shine a light on which parts of the job are truly valued (and paid for) by the market… because it’s not always what we think at face value. Are universities paying mathematicians for proofs or teaching?
Ethan Mollick
What you are seeing in math right now is a consequence of the jagged frontier, and a precursor of what is to come in other professions. Yes, mathematicians do… moreWhat you are seeing in math right now is a consequence of the jagged frontier, and a precursor of what is to come in other professions. Yes, mathematicians do math, but they also have other tasks they view as important (mentor students, maintain a scientific community, safeguard the future of a field, foster a love of math) that AI can't do At least one worry that mathematicians seem to have is that by focusing on the flashiest, most obvious element of what mathematicians do (make proofs), the AI companies are damaging the other tasks that AI can't do. AI can discover superhuman proofs, but that is not all that the math profession is about, and actually can undermine and reduce the attention to the other aspects of the job that are important to mathematicians. It becomes harder to defend the value of the many other tasks mathematicians do to the outside world if the most visible part is taken away. I suspect we will see more of this across fields and professions that will increasingly be forced to help people understand that their jobs consist not only the most visible tasks that AI can do, but also tasks that the AI cannot do or does badly.
101 reactions · 25 comments · 4 repostsOpen on LinkedIn
Ryan Roslansky17 SeptAI and the future of work
AI is helping mathematicians make real progress on Navier-Stokes. A problem that has resisted humans for generations. Super cool. But that’s not how a billion people are going to decide if AI matters. They’re going to decide it matters when it gives them… moreAI is helping mathematicians make real progress on Navier-Stokes. A problem that has resisted humans for generations. Super cool. But that’s not how a billion people are going to decide if AI matters. They’re going to decide it matters when it gives them time back. When Sunday night isn’t spent doing expense reports. When a five-step approval becomes one step. When a doctor catches a disease earlier. When a kid anywhere in the world gets access to a great teacher. When healthcare gets better and more affordable. Kevin Scott put it this way: “A.I. is one of the most powerful things humans have ever invented for improving the quality of life of everyone, but it will take time. It should take time. We've always tackled super-challenging problems through technology. And so, we can either tell ourselves a good story about the future or a bad story about the future, and, whichever one we choose, that's probably the one that'll come true.” The question is what we choose to do with it. I think the best companies start with a vision: What is the world we want this technology to help create? Then work backwards... Build toward that vision AND put the safeguards in place to do it responsibly. The answer isn’t to start from fear, or to ignore the risks. It’s to be clear about the future we want, and build toward it with safeguards from the start. This is a time for real leadership. Technical brilliance matters enormously. But so do judgment, experience, empathy, and an understanding of how businesses and institutions actually work, and how change actually lands on people. The technology isn’t going to decide what kind of future we build with it. We will.
532 reactions · 112 comments · 14 repostsOpen on LinkedIn
Matt Derella17 SeptRepost with commentaryAI and the future of work
worth a watch if you want hear directly from the ceo of Anthropic and Marc Benioff talk about the what the leading company in AI is doing about safety by adjusting the pacing of their development.
Salesforce
Live: Dario Amodei x Marc Benioff. The Anthropic co-founder & CEO joins us at Dreamforce for a conversation worth hearing. ☁️
97 reactions · 1 comment · 3 repostsOpen on LinkedIn
Jessica Jensen10 SeptTalent ConnectAI and the future of work
📣 Mark your calendars! Talent Connect Show is almost here! 📣 Work is changing fast, and AI is turning up the speed. It's reshaping how we do our jobs, hire talent and grow businesses. Exciting? Absolutely! A little overwhelming too? Also yes! 😊 Join us… more📣 Mark your calendars! Talent Connect Show is almost here! 📣 Work is changing fast, and AI is turning up the speed. It's reshaping how we do our jobs, hire talent and grow businesses. Exciting? Absolutely! A little overwhelming too? Also yes! 😊 Join us for this virtual two-day event bringing together HR and recruiting professionals to explore what’s now and what's next in talent and hiring. You’ll hear from powerhouse speakers like Brené Brown, Leland Melvin, & Daniel Shapero. Register here and share what you learn! https://lnkd.in/gDHR3amz #TalentConnect
144 reactions · 17 comments · 4 repostsOpen on LinkedIn
Archana Sekhar6 SeptRepost with commentaryAI and the future of workNetworking and careers
Part 2 of my conversation with Dhairya Gangwani , from my visit to India a few weeks ago. Enjoyed sharing my thoughts on both my own career as well as how AI is changing the game on leadership and work.
Dhairya Gangwani
13+ years at LinkedIn. 8 different roles! A career that has been anything but linear. Archana Sekhar's journey is a reminder that growth doesn’t always… more13+ years at LinkedIn. 8 different roles! A career that has been anything but linear. Archana Sekhar's journey is a reminder that growth doesn’t always require changing companies. Sometimes, it comes from continuously reinventing yourself within one. In Part 2 of our conversation, we discuss the human skills that will matter even more in the AI era, the career rule she would rewrite for professionals in India, and lessons from her unconventional journey. Because in a world powered by AI, our most human skills may become our greatest advantage. What was your biggest learning from this video? Let us know in the comments 👇
118 reactions · 3 comments · 1 repostOpen on LinkedIn
Matt Derella26 AugRepost with commentaryAI and the future of work
Just thought this was good knowledge for leaders thinking about getting their AI game more systemized across orgs.
Dennis Woodside
Reskilling used to be framed as an individual project. Nights, weekends, your career, your problem, your dime. Plenty of people are still doing it that way —… moreReskilling used to be framed as an individual project. Nights, weekends, your career, your problem, your dime. Plenty of people are still doing it that way — nobody is going to be more invested in your fluency than you. But the pace of AI has pushed the load past what individual effort can carry on its own. We've ended up splitting it three ways. The first part stays with the individual, and I don't want to soften that. The second sits with the company and it costs money. The third sits with whoever is running the place and it costs something harder to give; time. Companies that leave all three on the employee will get the fluency of the people who had time. On Freshworks’ share: we run a program called AI in Motion. We recently wrapped the third installment — three regional events across 11 cities, thousands of employees. Those events produced 25 innovation showcases: working prototypes from SecOps, IT, CX, Sales, Sales Ops, Engineering and Product, each one built against real customer or business problems. And 15 sessions where employees taught other employees how they're using AI in their own jobs — financial workflows, building pipeline, prototyping. Two things about that. It happened on work time, not on people's weekends. And it wasn't built for engineers. The prototypes that surprised me came out of functions that don't write code for a living. On the leadership share: I plan my whole training year in Claude — I run four races a summer and the plan is built and adjusted there. I also build prototypes in Lovable and send them to the product team. They're usually terrible ideas, but you can't set expectations from a distance. If the people running a company aren't in the tools, everyone below them reads that accurately, and no training program closes that gap. Here's what it looks like when fluency lands. Our product development lifecycle has changed. Designers work in Figma, push through Figma Make directly to code, and we've built the hooks into our production environment so what comes out already meets our internal coding standards. QA is largely automated. Cycle times are ~30% faster and AI products ship on a two-week cycle, which we weren't doing before. We've also turned our own AI Email agent on our own billing questions. It handled about 30% of them from the day we switched it on. Neither of those came from buying something. They came from people who already worked here figuring out what the tools could do in their part of the business. Most of our customers aren't from the tech industry. They're not benchmarking models on the weekend. They're looking to us to be conversant enough in this to help them get from experimentation to real use, and you can't outsource that to your product. Most of the AI debate at the CEO level is about which model, which stack, how much budget. That debate matters. What determines whether AI shows up in the P&L is whether the people you already employ know how to use what you've already bought
19 reactions · 5 comments · – repostsOpen on LinkedIn
Erran Berger25 AugRepostAI and the future of work
Abigail Carlton
AI is reshaping how we work. But are we doing enough for young people to navigate this shift? Young talent is uniquely positioned to shape how AI transforms… moreAI is reshaping how we work. But are we doing enough for young people to navigate this shift? Young talent is uniquely positioned to shape how AI transforms the world of work, if we set them up for success. This means employers, educators, and workforce organizations need to ensure they continue to have access to meaningful early-career opportunities. In our Forbes op-ed, Susan Murray and I share why rethinking career pathways matters for the next generation, and for the organizations and economy they'll help build. https://lnkd.in/gmevusBU
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Ryan Roslansky21 AugAI slop and feed qualityAI and the future of work
AI slop isn't happening just on social networks... it's happening in the day to day of work. Someone sent me what was clearly an AI generated doc. I read it, realized it was all AI, had my AI summarize it and ended up with nothing that brought new thinking to… moreAI slop isn't happening just on social networks... it's happening in the day to day of work. Someone sent me what was clearly an AI generated doc. I read it, realized it was all AI, had my AI summarize it and ended up with nothing that brought new thinking to the idea... This is a doom loop.  If we're not careful, we'll end up with a very expensive way to avoid writing and reading in an ocean of sameness, genericness... Let's not do that. Let's go another way where AI helps us to do things, to learn things, to create things, but in ways that we enhance and advance with our distinct perspectives and unique experiences!
3,401 reactions · 396 comments · 144 repostsOpen on LinkedIn
Jessica Jensen18 AugWomen in leadershipAI and the future of work
AI is creating some of the biggest opportunities in today's job market. But who REALLY gets access to them? LinkedIn's Economic Graph team's new research on women in the AI economy highlights an important challenge. AI roles are among the fastest-growing and… moreAI is creating some of the biggest opportunities in today's job market. But who REALLY gets access to them? LinkedIn's Economic Graph team's new research on women in the AI economy highlights an important challenge. AI roles are among the fastest-growing and highest-paying jobs, yet women account for just 26% of new hires into those roles, and representation declines even further at senior levels. That gap matters because this isn't just a story about technology. It's a story about opportunity. As AI reshapes work, we have a chance to build the pathways for more women to enter, advance, and lead the future of work as the AI economy grows. I'd encourage everyone to spend some time with the findings because understanding how opportunity is changing is one of the first steps to helping more people participate in it! 💪 https://lnkd.in/gKVxAa6d
210 reactions · 49 comments · 10 repostsOpen on LinkedIn
Jessica Jensen12 AugSales and ads productsAI and the future of work
Whether you’re planning your next vacation, looking for a new pair of novelty glasses (just me?), or researching software, the way we discover is changing. More and more of us are turning to AI to help make decisions faster. Being discoverable is no longer… moreWhether you’re planning your next vacation, looking for a new pair of novelty glasses (just me?), or researching software, the way we discover is changing. More and more of us are turning to AI to help make decisions faster. Being discoverable is no longer just about getting someone to your website. It’s about creating content and expertise that AI models recognize, trust, and surface. How brands stay visible in the AI era is one of the biggest topics B2B marketers are facing right now. That’s why the team at LinkedIn have been researching, testing, and learning what drives visibility in AI search, and we’re sharing what we found. Our new guide helps marketers build an AI-ready content system, earn more citations, and measure what really matters. My top take? 💡 LinkedIn is your strongest lever! It's the #1 most-cited domain for professional queries, so if you're not here, you're not showing up! Take a look and let me know what you think. Thank you! https://lnkd.in/gNu52gwn
354 reactions · 34 comments · 21 repostsOpen on LinkedIn
Erran Berger6 AugRepostAI and the future of work
Inspire Leadership Network
Talent isn’t separate from AI strategy. It is AI strategy. Erran Berger and Susan Murray challenged #Converge26 attendees to reject the false choice between… moreTalent isn’t separate from AI strategy. It is AI strategy. Erran Berger and Susan Murray challenged #Converge26 attendees to reject the false choice between becoming AI-led and employee-first. “The companies that are able to transform their talent and technology bases are going to be the ones that really thrive in the age of AI.“
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Erran Berger1 AugRepost with commentaryAI and the future of workEngineering and infrastructure
Spot on Alborz.
Alborz Geramifard
AI isn't eliminating engineering. It's changing what great engineers do. A conversation with Ashwin Machanavajjhala and Erran Berger inspired me to think… moreAI isn't eliminating engineering. It's changing what great engineers do. A conversation with Ashwin Machanavajjhala and Erran Berger inspired me to think about this through the lens of one of computing's biggest transitions: from assembly to Python. I believe we're living through an equally important shift today. Here's my perspective.
28 reactions · 1 comment · 2 repostsOpen on LinkedIn
Mark Lobosco23 JulKickoff and earningsAI and the future of work
There’s always something exciting about the start of a new fiscal year, and makes me want to do a little dance. This week’s LinkedIn' Company Kickoff was a powerful reminder of what makes LinkedIn special. Across three days, teams in offices around the world… moreThere’s always something exciting about the start of a new fiscal year, and makes me want to do a little dance. This week’s LinkedIn' Company Kickoff was a powerful reminder of what makes LinkedIn special. Across three days, teams in offices around the world came together to share and align on our priorities for the year ahead. Along the way, we celebrated the incredible talent across teams that makes our company unique. What stood out most to me was the opportunity ahead. AI is transforming how professionals and businesses learn, work, hire and grow. It’s creating new opportunities, some challenges, and lots of questions about what’s next. The platform we operate has never been more important to help our members and customers navigate the new world of work. I'm leaving inspired by our people and energized by what’s ahead in FY27. I’m also excited to carry this momentum into next week for Sales Kickoff (SK27) where I will be hosting events in Singapore, Dublin and New York. Let's go! #LinkedInLife #SKworldtour #jetlagcoming
449 reactions · 22 comments · – repostsOpen on LinkedIn
Dan Shapero23 JulRepostAI and the future of work
Satya Nadella
In a world where software has real marginal cost for the first time, how do we ensure frontier benefits are diffused across the entire ecosystem? The key is… moreIn a world where software has real marginal cost for the first time, how do we ensure frontier benefits are diffused across the entire ecosystem? The key is to optimize the cost-to-outcome frontier in real world context. In practical terms, that means using the right model for each task, and optimizing the context, skills, tools, and agent harness around it. This is the motivation behind our MAI model family. These models have been built ground up with clean data lineage and optimized for learning transfer from generalist to specialized skills in enterprise RLEs. We continue to make rapid progress in this pursuit. We can now take saturated frontier capabilities and deliver them at scale and at lower cost through models optimized for high-usage products, while continuing to use frontier models for frontier needs. We are proving this out across our first party products, and thereby creating a template for every other AI native, SaaS, or Enterprise company out there. In our products, frontier models from OpenAI and Anthropic are part of the orchestration system alongside MAI. But the model is only one part of the hill-climbing system. Harness, memory, context, tools, skills, user interactions, etc. all shape the evals and performance of these agentic systems. The other key criteria to ensure that you are in control, is your evals should continue to hill climb even when any given model has been removed. Therefore we build RLEs where models learn inside the product system and are rewarded for completing the tasks customers actually care about. We train models against the actual product harness, interactions, and outcomes they will encounter. And strategically ensure that the harness, memory, context, skills are externalized outside of the model. Product-specific evals and model independence give us the control and a direct hill to climb, and to keep refining until we reach the right quality-cost target. We are now seeing MAI models outperform general-purpose frontier models in many use cases while using a fraction of the tokens. We believe the biggest opportunity is to optimize all of these layers together in the products where the world works every day. And we are beginning to route traffic across our first-party surfaces to MAI whenever our models match or outperform frontier alternatives. We are seeing promising early results across GitHub Copilot, Excel, and Outlook and are beginning to take the same approach across Copilot Chat, PowerPoint, and more. And all these results will only get better as the entire system keeps hill-climbing! What we are doing across our first party products is also what every enterprise customer can be doing in their real world agentic systems with their proprietary evals, their proprietary RLEs, workflows, and context. We are making all this available as part of Foundry and our toolchain. Read more here: https://lnkd.in/gR7UgHkp
Hari Srinivasan15 JulAI and the future of work
First AI / humanoid related strike I at least have heard of. Workers are asking for: 1. Salary vs hourly pay, to protect against automation. 2. Job-security guarantees (unclear what this means, but includes increasing the retirement age), to protect against… moreFirst AI / humanoid related strike I at least have heard of. Workers are asking for: 1. Salary vs hourly pay, to protect against automation. 2. Job-security guarantees (unclear what this means, but includes increasing the retirement age), to protect against reductions. 3. Bonuses tied to stock & net profits, to get some of the AI upside. https://lnkd.in/gT9_qhRC
51 reactions · 3 comments · 2 repostsOpen on LinkedIn
Hari Srinivasan14 JulRepost with commentaryAI and the future of work
This feels like a great product. Clear pain points, clear time savings & clear respect for the practitioner. Feels rare in AI products; it's not just our benchmark now shows we can do your whole job. Nice work Drew Bent & team. Good for all of us if this really helps teachers teach.
Drew Bent
Today we’re launching Claude for Teachers, bringing the power of premium Claude and Cowork to every US teacher, for free. It works in the background, while… moreToday we’re launching Claude for Teachers, bringing the power of premium Claude and Cowork to every US teacher, for free. It works in the background, while teachers can focus on what’s most important: time with their students. Teachers have been experimenting with AI for some time, but we at Anthropic kept hearing from teachers about the need for something that was aligned to curriculum and evidence based. I think what the team has built is special in a few ways: 1) A foundation in curriculum and learning science -- Claude for Teachers comes with the Learning Commons connector: academic standards in all 50 states, the prerequisite skills beneath each one, and curriculum context from high-quality providers like Illustrative Math and OpenSciEd. Ask for a lesson on constructing linear functions and Claude pulls the standard, notes the misconceptions students typically hold, and builds the lesson around them. 2) Teaching skills, co-built with nonprofit Learning Commons -- These enable teachers to build lesson plans and differentiate instruction. Importantly, they are built to work well in Cowork, allowing teachers to harness the full agentic capabilities of these models. Teachers can control what they share (past lesson plans, student assessment data, etc) and have Claude automatically work for them each evening. It will help them prepare materials for the next day, tailored to their exact students. 3) Privacy first -- We don’t train on teacher conversations and student information is protected by our terms that are written to comply with FERPA. We worked closely with the American Federation of Teachers to align it with their new gold-standard privacy principles. Randi Weingarten, their president, calls it “a tool designed by and for educators... to give them more time for the human relationships at the heart of learning.” 4) Ecosystem approach -- Nine education connectors are available at launch, connecting to tools loved by teachers like TeachFX, MagicSchool, and Brisk Teaching. We’re also releasing a new free AI Fluency for Teachers course with Teach For America. And we’re taking everything we learned and releasing our Skills and evals as public goods, so everyone can leverage them. There is a whole team to thank, including our partners and teachers. I especially want to call out Sofia Wilson and Alex Kasavin, who co-led this. This started as Sofia’s onboarding project, and Alex was her spin-up buddy. In typical Anthropic fashion, we like to give employees overly ambitious spin-up projects (Claude Code was itself one). This was no exception. From the start, the two of them were laser focused on building the highest quality tools for teachers. And it was Elizabeth Kelly and Daniela Amodei who empowered our team to build a product focused on teachers and learning outcomes, first and foremost. If you’re a teacher, you get Claude for Teachers for free starting today: https://lnkd.in/gfRYVmjj
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Hari Srinivasan13 JulAI and the future of work
Really seeking to understand, what's holding people back from 'acting now' to understand the economic impact of AI? Is it a lack of specific data, research funding, forums to discuss, etc? I think everyone agrees there could be change ahead, but not sure… moreReally seeking to understand, what's holding people back from 'acting now' to understand the economic impact of AI? Is it a lack of specific data, research funding, forums to discuss, etc? I think everyone agrees there could be change ahead, but not sure what the people who wrote this (https://lnkd.in/gaT_ZFfX) are asking for here.
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Ryan Roslansky9 JulRepostAI and the future of work
Sumit Chauhan
Knowledge work rarely moves in a straight line. Within Microsoft Copilot, you start something in Word, pull the numbers in Excel, then try to turn it into a… moreKnowledge work rarely moves in a straight line. Within Microsoft Copilot, you start something in Word, pull the numbers in Excel, then try to turn it into a story in PowerPoint. The whole time, you're the one making the calls, reading the context, and deciding what actually matters. That’s why the right model in the flow of work matters! Starting today, OpenAI’s GPT 5.6 is beginning to roll out across Word, Excel and PowerPoint which gives customers the world-class reasoning capabilities in the tools where work gets done. Learn more: https://lnkd.in/gCbKpN72
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