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Tech Pioneer | Industry Veteran | Growth-Oriented Leader
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David Honig reposted thisDavid Honig reposted thisAmeya Kanitkar is speaking at HumanX on April 8th. The session: "Measuring AI Impact: Lessons From 100 Conversations with Global 2000 CIOs" Over the past year, Ameya has talked with CIOs at some of the largest enterprises in the world about one question: how do you actually measure whether AI is working? The patterns he's found are fascinating and often counterintuitive. Most companies are measuring the wrong things. The ones getting real ROI are doing something different. If you're at HumanX, catch his masterclass at 3pm on April 8th.
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David Honig reposted thisDavid Honig reposted thisMost CIOs are focused on the wrong AI security risk. We spoke with Karl Mosgofian, ex-CIO at Gainsight, and his position is direct: the threat is not your contracted vendors. It is employees using unapproved tools with no contract, no policy, and no visibility into what data is being shared. Once you have a signed agreement and a security review, Karl argues you are in roughly the same position as with any other SaaS vendor. The gap that actually matters is shadow AI, the tools nobody in IT knows about. He also makes the case that agents need their own identity in directory services, separate from the human who authorized them. When something goes wrong, you need a clean accountability trail. "The CIO can be your best friend or your worst enemy. Don't assume they're going to be your worst enemy."
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David Honig reposted thisI had a lot of fun talking with Johannes about AI, about Larridin, Inc. about building businesses and about selling into large enterprises.David Honig reposted this🚀 NEW EPISODE: From Experimentation to Execution - The Shift Enterprise AI Needs Right Now The Enterprise AI world is in a strange place: About $700B in AI spend. Less than 1 in 4 companies can measure their ROI. Everyone's experimenting. Almost nobody knows what's working. This week, host Johannes Deubener sat down with Russell Fradin - serial enterprise founder, CEO of Larridin, Inc. (backed by Andreessen Horowitz), and the mind behind a new product category he calls "AI Execution Intelligence." Russ has seen this movie before. 30 years ago, he was an early executive at ComScore, helping bring measurement to the chaos of early web advertising. Today, he sees the exact same pattern in Enterprise AI - massive experimentation, minimal measurement. Here's what Larridin, Inc.'s 2026 Enterprise AI Report reveals: → 85% of leaders feel they have <18 months to become AI leaders or fall permanently behind → Only 9% of enterprises qualify as actual AI leaders → 45% of AI adoption happens OUTSIDE formal IT procurement → Companies discover an average of 23 AI tools - one found 150 → Power law: 86% of workers save fewer than 10 hours/month - but the top 6% save 20+ → Teams that BUILD with AI dramatically outperform teams that SUMMARIZE Russell's personal take: The window for experimentation is wide open. But the vendor culling is coming. As he puts it: "Your job as a founder is to get in the door - and then make sure you're one of the 300 vendors still standing when enterprises consolidate from 10,000." 🎬 Watch/listen to the full episode - links in comments #AItoGo #EnterpriseAI #AIFounder #AIStrategy
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David Honig shared thisWhat a great event! Huge thanks to Michael King, Andrea Clarke Hall, and the Andreessen Horowitz team for including Larridin, Inc. at the “Build Your AI Workforce” Demo Days event at the New York Stock Exchange, an incredible experience with an A++ executive audience. The highlight of course was watching Jim Larrison and Russell Fradin demo our solution. :)
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David Honig shared thisIndustry folks Join my tech folks bracket group for bragging rights. No cost. Just bragging rights I’ll send some Larridin, Inc. swag to winner Who’s in ? Join my 2026 CBS Sports Men's Tournament Bracket group! Brackets are back and I’ve started a pool for the Men's Tournament, Tech folks, on CBS Sports. Join now before the tournament starts so we can compete all of March Madness! https://lnkd.in/eet39dySCBS Sports - 2026 NCAA® Men's Bracket Games - CBSSports.comCBS Sports - 2026 NCAA® Men's Bracket Games - CBSSports.com
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David Honig shared this$18K/month in AI coding spend is easy to justify when velocity feels fast. Proving it’s actually working? That’s the hard part. Measurement is becoming the moat. ⬇️ Read this post by Ameya Kanitkar when you have a moment ⬇️ Thought’s welcomedDavid Honig shared thisOur Claude Code API bill just crossed $18,000/month. That's headcount territory. For a team of under 10 engineers. And most of that spend came from our backend team alone — which is even smaller. We're all-in on AI-native development. I wrote about how we restructured our workflow to make this safe — spec-first design, TDD as a hard constraint, multi-model review, security audits on every commit (link in comments). That playbook is working. We're shipping faster than we ever have. But it's surfacing a much harder question: When AI writes most of the code, how do you know if your team is actually getting better? Seriously. Think about it. Lines of code — meaningless. PRs merged — inflated. Sprint velocity — noise. Even unit test coverage, the old gold standard, breaks down when AI generates hundreds of passing tests that don't verify anything meaningful. Meanwhile the real risks are subtle: → Code turnover. Are AI-generated modules stable or constantly rewritten? → Quality attribution. Can you tell the difference between human-written and AI-assisted code in production? → False acceleration. Are you shipping faster, or generating more to fix later? → Test integrity. Do your tests actually catch failures, or just inflate coverage numbers? Every engineering leader adopting AI tools will hit this wall. The spend is easy to justify when things feel fast. It's much harder to prove the investment is actually working. We've been working on a framework for measuring developer productivity in the AI-first era. Not ready to share it yet. But I think this might be the most important unsolved problem in engineering leadership right now. The teams that crack measurement will compound their advantage. The rest will ship a lot of code and wonder why nothing changed.
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David Honig reposted thisDavid Honig reposted thisI got to sit down with Rubrik's CIO Ajay Sabhlok for a great conversation about AI! He told me he's no longer thinking about AI risk. His problem now is keeping up with internal demand. For the first episode of AI Impact, I spoke with Ajay Sabhlok, CIO and CDO at Rubrik, about how they got there. Rubrik (NYSE: RBRK) brings together data protection, cyber resilience, and enterprise AI acceleration. Every AI tool request at Rubrik runs through a formal council: CFO, co-founder, head of engineering, and general counsel. Legal publishes a conditional approval list tied to data sensitivity for every tool that passes review. "Once I have the safeguards in place, I'm actually willing to allow people to try out more tools," Ajay told me. The workforce is educated and excited. Use cases are coming in faster than his team can deliver. The bottleneck shifted from skepticism to capacity, and that gap tells you everything about where a mature AI program eventually lands. Full episode linked below.
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David Honig shared thisMost companies are playing AI Roulette. They launch pilots, run a few workshops, and hope employees “figure it out.” Then they wonder why 88% of AI initiatives never reach production. The problem isn’t the technology. It’s the system behind it. And the exciting part is that the solution is actually very achievable. Here’s the playbook that works. Step 1: See the truth first and step on the scale. Skip the surveys. Employees almost always think they’re using AI far more than they actually are. Instead, get real telemetry. Understand exactly where your people sit on the proficiency spectrum. You can’t level up what you can’t measure. Step 2: Stop the “AI 101 for everyone” approach A webinar isn’t a strategy. Level 1–2 employees need foundations. Level 3 employees need workflow coaching. Level 4–5 employees are ready for orchestration. When you meet people where they are, adoption accelerates quickly. Step 3: Unlock your secret weapon This is the part that really excites me. About 6.2% of your workforce has already cracked the code. These people are operating at roughly a 4x productivity advantage today. Find them. Document their prompts. Capture their workflows. Then deploy them as embedded mentors across the organization. Your biggest AI advantage is already on payroll. Step 4: Sprint, don’t crawl Run 90-day cycles: Assess → Prioritize → Execute → Measure → Adapt Tie proficiency to performance reviews and track it quarterly. Momentum builds fast when organizations treat AI adoption like a real operating system. The payoff? Organizations with a structured framework and strong executive sponsorship are 3.8x more likely to achieve their AI goals. AI transformation isn’t magic. It’s a system. And building that system is genuinely exciting. Curious where most teams are right now: 1️⃣ Still experimenting 2️⃣ Running pilots 3️⃣ Starting to scale 4️⃣ Operationalizing AI Drop the number in comment below.
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David Honig posted thisI just finished listening to Acquired’s interview with ServiceNow CEO Bill McDermott, and it couldn’t be more relevant to the AI moment we’re in right now. What struck me most is that even in an era defined by AI, automation, and platform shifts… the fundamentals haven’t changed. McDermott tells the story of his evolution, what started as working in a deli in Long Island a few towns away from where I grew up, to pumping gas at the local Gas station in my home town of Merrick, Long Island which led to an amazing story of being focused and determined to get a Job at Xerox. Getting the Job, and selling copiers door-to-door at Xerox at 22 years old. No shortcuts. Just preparation, resilience, and deep customer understanding. The guy is a beast. He studied annual reports before meetings. He learned to diagnose business pain before pitching a solution. He sold outcomes, not products. Fast forward decades, he leads SAP, then takes over ServiceNow and scales it into a $10B+ enterprise platform company. The throughline? Enterprise transformation is never just about technology. It’s about trust and its about people. That’s the part of AI adoption we don’t talk about enough. Right now, companies are buying AI tools at record speed. But the real question leaders are wrestling with isn’t “What tool should we use?” It’s: • Is this actually making us more productive? • Where is it driving measurable ROI? • Are we scaling impact, or just scaling spend? AI may be the most powerful technology shift of our generation. But the companies that win won’t just ship models faster. They’ll align AI to real business outcomes, build internal conviction, and sell transformation internally as effectively as they sell externally. McDermott’s lesson is simple but profound: selling is leadership. And in the AI era, every executive is now selling a future that hasn’t fully been built yet. In a world obsessed with product and AI innovation, this interview is a powerful reminder that enterprise success still comes down to human connection, preparation, and relentless customer focus. If you’re building or scaling in enterprise tech, this episode is worth your time. Link is in the comments.
David Honig commented on a post
1d
We’re all builders now.”
Meanwhile I’m over here thinking…
It was a lot easier ridin’ our bmx bikes to the local arcade and dropping quarters.
No dashboards.
No agents.
No “AI strategy.”
Just:
1) insert quarter
2) play game
3) know immediately if you were any good or keep going back to get better ( asteroids, gorf and defender was my jam )
Now we can build anything…
and most have absolutely no idea if it’s actually working
.
David Honig commented on a post
1w
well done! This is exactly the kind of approach we’re seeing work, not just rolling out AI tools, but embedding AI into how work actually gets done and investing in people to use it effectively. The companies that win here will be the ones that connect training to real workflows and outcomes
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David Honig liked thisThis is a huge initiative for Prisma, and a labor of love for our team. More than 1/2 of CTV spend is direct IOs between buyers and sellers that have worked with each other for decades. By empowering buyers and sellers to send and receive orders and trafficking instructions systems to system, we are automating the most valuable part of TV advertising. The Walt Disney Company has been an incredible partner, and the first of many premium publishers who will integrate with Prisma, and give the largest buyers optionality to activate campaigns based on goals. We are grateful for the leadership and sponsorship by Jamie Power Matt Barnes, Matthew Walden, Scott Ashby, Thuy Petersen Samantha Lin and Amy Lehman. What started as a conversation with Amy in Cannes is helping move the industry forward. Drew Kane Stephanie Watson Bill Wise Jesse Weinstein Guy KupermanDavid Honig liked thisPremium video buying just got a major upgrade. Mediaocean’s Prisma has launched Prisma Direct, bringing automation to one of the most manual parts of our industry: direct IOs. By connecting buyers directly to publishers, Prisma Direct streamlines ordering, trafficking, reporting, billing, and reconciliation in one system. With Disney Advertising the first media company integration, this is a big step toward modernizing how premium TV is bought and sold by making activation even easier for advertisers at scale. Say hello to the future of TV's primary workflow. Read more: https://lnkd.in/gnPX-hrQ #GoPrisma #PrismaDirect #AdInfrastructure #Disney #OmnichannelAdvertising #IndependentAdTech
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David Honig liked thisDavid Honig liked thisExcited to share that our CTO Ameya Kanitkar is presenting a masterclass at HumanX next month. Topic: Measuring AI Impact - what Ameya has learned from conversations with Global 2000 CIOs. The short version: most enterprises are flying blind on AI ROI. License counts and adoption dashboards don't tell you whether AI is actually moving the needle. Ameya's been deep in this problem with CIOs across industries. He'll be sharing the patterns that separate companies capturing real value from those just buying tools. April 8th, 3:00pm at HumanX. Be there.
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David Honig reacted on thisDavid Honig reacted on thisOG digital media advertising executive, founder, angel investor and industry institution Mediaocean’s Bill Wise made his first appearance at New York University ‘s Rise of Internet Media last night. And the stories flowed. Bill’s humble beginnings continue to greatly inform how he guides young people from my students to his own 20-something children. He took real chances with his career in his 20s which landed him at Doubleclick where he discovered the digital media tribe. 30 years and multiples exits later his enthusiasm remains unbounded. As always, we attempt to codify the lessons for college students and recent grads: 1. Internships are harder to get then jobs. You can take risks trying to get them because you need to stand out. What do you have to lose? 2. An interview should be a conversation. Don’t wait to ask your questions until the end. Ask yourself during the interview is there real back and forth — that’s a sign it might be going well. 3. Confidence comes with repetitions and career experience, but you have have courage at the beginning. Be assertive and even aggressive without being obnoxious. Challenging to navigate but the line must be walked. 4. “Your network is your net worth.” College affords you may chances to meet students and alumni. Will you? 5. We need more women leading technology companies. 6. “Flip the script” when interviewing for jobs where you fear you are underqualified. Have the courage to say you believe you will work harder and outperform others over the long haul. Professionals across all industries cannot spend enough time with our undergraduates. Bill made the time. Now, will my students act on the advice?
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David Honig liked thisDavid Honig liked thisLarridin co-founder and CTO Ameya Kanitkar is presenting a masterclass at HumanX. Measuring AI Impact: Lessons From 100 Conversations with Global 2000 CIOs April 8th | 3:00pm – 3:45pm What happens when you ask 100 CIOs how they measure AI ROI? You learn that most can't - at least not with confidence. Ameya will share the patterns he's seen across Global 2000 enterprises: what's working, what's not, and how the highest-performing organizations approach AI measurement differently. If you're at HumanX, don't miss this one.
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David Honig liked thisDavid Honig liked thisGender imbalance in entrepreneurship is insane… Only 15% of tech startup founders are women. I couldn’t be more proud of Nancy Marzouk, founder & CEO of MediaWallah. She’s building, scaling, and delivering (while balancing it all) with persistence, grit and zero noise. Just results. We need more women smashing through the glass ceiling like Nancy! Proud to call you a partner… congrats on this article from Madeline Mitchell at USA TODAY. 👊 https://lnkd.in/eQfDpwUHWhat does it take to be a top 1% income earner? She found out.What does it take to be a top 1% income earner? She found out.
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David Honig reacted on thisDavid Honig reacted on thisWhat a great few days in Chicago! Yesterday we hosted some of the best founders, investors and builders for the Cubs Home Opener. Excited for what we are building at Merraine Group and special shout out to my partner Jeremy Sanchez and to Michael Lazerow for always being the best leader If you are building we would love to help! Happy Friday 😊
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David Honig reacted on thisDavid Honig reacted on thisAI. AI. AI. I am the Chief Heart Officer of an incredible global creative and media agency. I wrote a book about showing up fully at work. And I still open ChatGPT when I want to make sure I have found the best words for a hard moment. Not because I don't know how. Because saying the hard thing with humanity, clearly, kindly, and without making it worse, always deserves more than a first draft. And then it hit me. Many of us are asking AI to do the things we were never really taught to do ourselves. Not the spreadsheets. Not the summaries. We are asking it to write the difficult email. To find the right words for the performance conversation. To help us say "I see you're struggling" in a way that doesn't land wrong. We have always been rewarded for output, for answers, for efficiency. The relational work rarely made it onto the curriculum. Throughout our lives, no one was consistently teaching us how to have a hard conversation. How to give feedback that lands with care and with truth. How to stay present with someone who is struggling without trying to fix them or flee the room. We got very good at the work. The people part we largely taught ourselves. AI is a mirror. And right now it is showing us the gap. The question is whether we are willing to fill it ourselves? What are your thoughts? 💜 I wrote about this in full on Substack, including what it means for managers, for retention, and for what no prompt can ever replace. Link in the comments.
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Larridin
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Hanging On to the Telephone
Mediapost
See publicationAs recently as 10 years ago, the basic Internet monetization model was one that even the oldest of the old school, Time Inc. magazine empire founder Henry Luce, would have recognized. Vertical content (health, auto, travel, etc.) is shaped by professional editors and, therefore, easily categorized by the taxonomy engines that informed the first generation of online ad targeting solutions from pioneers like DoubleClick, Google a
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