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I am a global technology executive and practitioner-scholar with over 30 years of…
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Andrew Leigh reposted thisAndrew Leigh reposted thisCopado is helping more than 1,700 enterprises transform how mission-critical Salesforce applications are built, tested, governed, and deployed at global scale. Trusted by some of the world’s largest brands, Copado powers the DevOps engine behind massive digital transformation initiatives — helping enterprises ship faster, reduce downtime, automate testing, and bring AI-powered intelligence into every stage of software delivery. They’re now leveraging Qualified from Salesforce with ✨Max✨ their AI SDR Agent, to modernize and scale how they engage inbound buyers. Check it out at copado.com! Max delivers always-on engagement across web and email, personalizes conversations at every stage of the funnel, supports multilingual global outreach, and operates on agentic AI architecture designed for the future of enterprise go-to-market. Excited to see category leaders like Copado reinventing how enterprise revenue teams connect with buyers worldwide. Thank you to Ted Elliot and the Copado team for their partnership. -------- I am going to share examples over the coming weeks of customers who are changing the game with their website and adding an AI sales agent (aka Piper) to help their prospects learn more and convert into pipeline. Piper the AI SDR Agent is: ✨ Multi-channel: Piper works in the essential channels for inbound - web and inbox ✨ Multi-stage: Piper works every lead at any stage of the funnel ✨ Multi-modal: Piper can engage with buyers in any mode ✨ Multi-language: Piper is built to support a global GTM ✨ Multi-agent: Piper comes pre-built on agentic architecture
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Andrew Leigh shared thisAI success is no longer about technical capability. It's caused by undisciplined, sloppy development and operations practices that ignore integration, testing, and governance. Excellent new report from David Linthicum Top 5 reasons enterprise AI is failing: 1. Weak business case. 2. Data quality and fragmentation. 3. Lack of Integration 4. Release governance and ownership erode accountability. 5. Poor adoption, cost escalation, and unrealistic exec expectations
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Andrew Leigh shared thisTrue enterprise process automation is more than intelligent decision-making and integrated workflow. It's a trusted partnership with risk-averse clients who demand predictability, transparency, and full compliance to run their business. AI, like computers, is never an excuse for business mistakes. Full accountability always lies with the humans responsible for the process.The SaaSpocalypse? Why Usage, Outcomes, and Expertise Mean SaaS Is Far From DeadThe SaaSpocalypse? Why Usage, Outcomes, and Expertise Mean SaaS Is Far From Dead
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Andrew Leigh shared thisAmerican and European manufacturing are forever changed - Rodik provides an insightful alternative to the common bi-polar view of the changing world order…”Many yearn for an alternative to the US and Chinese models, and for that, Europe’s leaders must have the courage to chart their own course”The World Needs Europe to Get Its Act Together – FastThe World Needs Europe to Get Its Act Together – Fast
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Andrew Leigh reposted thisAndrew Leigh reposted thisClaims that AI will make enterprise SaaS obsolete miss a foundational strategic distinction. Core is where companies differentiate and earn superior returns. Context is the work required to operate reliably, meet standards, and remain compliant. It consumes enormous effort but offers no advantage when done uniquely. AI changes how work is executed across much of the enterprise. The exception is mission-critical context, where reliability, predictability, and shared best practices matter more than customization. The enduring role of SaaS is to own that burden at scale, while AI improves how humans interact with it. #AI #SaaS #Strategy #CoreVsContext
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Andrew Leigh shared thisThe Arch continues to evolve but the real challenges of integration, governance, and quality remain bigger than ever. Part 2 of the cheap custom code vs platform wars on deck.Andrew Leigh shared thisSaaSpocalypse: Both Real — and Way Overplayed OK - I'm 3 phone calls in on the market selloff of SaaS ... so let me sum Yes, the selloff is understandable. No, SaaS is not “dead.” What is dead is the assumption that seat-based, workflow-light software gets paid forever. Why the panic makes sense • AI is eating budget, not adding to it over the last 2 years. Every dollar going to copilots and agents/AI-driven orchestration is a dollar not��going to incremental SaaS seats. • AI collapses "just workflow" value. When a general AI layer can reason across documents, processes, and systems, thin SaaS layers that “move work around” get exposed. AI-driven orchestration wins. • Headcount math breaks SaaS math. If AI flattens teams, headcount-tied pricing breaks with it. That’s the signal vendors, data, and AI leaders need to know. Now, why the market overshot 1. Systems of record aren’t going anywhere. ERP, CRM, and core vertical/ industry platforms still run the business. AI orchestrates them, but doesn’t replace them. This is a game of who owns and best delivers outcomes from data ... 2. This isn’t an AI-driven SaaS crash, but a reset. SaaS was already slowing. AI just let the air out of some of the run-up over the last year+. 3. Execution and enterprise grounding beat novelty. Enterprises still care about governance, trust, scale, and accountability. Many AI-first startups are selling cool “agent demos,” but struggle to scale. What’s actually happening We’re watching value shift from tools to outcomes. From: • Seats → Decisions • Workflows → Execution • Dashboards → Automation Bottom line The "SaaSpocalypse" is not AI killing software, but a re-pricing of who gets paid in the stack. Vendors that have data, drive outcomes, create learning loops that expand their data and context depth to drive AI into execution survive. Let's move beyond the hype and look at where market gravity will be. For more, I put a link to R "Ray" Wang's interview on the SaaSpocalypse, Larry Dignan's and SaaStr.ai's analysis on the compression 👇🏻 #SaaSpocalypse #EnterpriseAI #DecisionVelocity #AITakesBudget #DecisionAutomation #ExecutionNotTools
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Andrew Leigh shared thisGreat 5 steps to AI Governance. Today, every AI can recommend any action, but AI will never be the accountable party. Starting with the CEO, leadership team, BOD, and process teams, 100% of AI accountability is owned by the people and teams that run the AI. AI is never an excuse for poor corporate decision-making and/or action.Andrew Leigh shared thisCIOs and Tech Leaders: AI Governance is NOT just a compliance checkbox—it's your strategic superpower! Here are 5 critical AI governance priorities every executive must own: 1) Anchor AI in Business Value Don't just adopt AI—align it with real business problems. Treat AI like a strategic portfolio, not a shiny toy. Measure ROI, reduce risks, and drive meaningful impact. 2) Ensure Transparency & Accountability Demand explainability from vendors. Build human oversight into every AI system. Know WHY decisions are made, not just WHAT decisions happen. 3) Navigate Legal & Regulatory Landscapes Proactively manage external risks. Create crisis response teams. Develop real-time analytics to preempt potential regulatory challenges. 4) Build Continuous Learning Systems Governance can't be static. Create adaptive frameworks that evolve with technology, regulations, and business needs. Stay agile, stay ahead. 5) Communicate Governance Value to the Board Transform governance from a cost center to a strategic enabler. Quantify risk avoidance, demonstrate value creation, protect organizational trust. Want to dive deeper into AI governance strategies? Check out my blog post (link in comments), drop a comment, or connect! 👇 #AIGovernance #TechLeadership #AIStrategy #CIOInsights #AppliedAI #DrLisaAI #NCX
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Andrew Leigh reposted thisAndrew Leigh reposted thisAI needs power. Massive, cheap, reliable power. And China has it. More than the US + EU + India combined. As AI adoption explodes, electricity becomes the critical limiting factor. By 2030, data center energy demand could exceed 1,000 TWh—more than Japan’s total usage. In the US, AI is expected to drive nearly half of all new electricity demand this decade. How Much Demand? ⚡ Model training and inference energy needs are doubling every 3.4 months—that’s roughly a 3.5x increase in just one year. 🏠 Training a single large model already uses as much electricity as 130 U.S. homes per year. At current growth rates, that's equivalent to energy use of 455 homes/year per model. Multiply that across dozens (or hundreds) of models, and the grid impact is enormous! BTW…that’s a fairly conservative estimate given the largest, most advanced models in 2025. What This Means: ⚠️ 40% of US AI data centers could hit their power capacity in 2027 (Gartner predicts) 💥 Grid stress is delaying clean energy goals and reviving fossil fuels 🧠 The AI industry must prioritize chip efficiency, smarter software, and grid modernization, or risk hitting an AI development "brick wall" 🌍 Regions with weak infrastructure will fall further behind The Flip Side? AI can help fix this with smarter grids, faster renewables, better efficiencies Meanwhile in China: ⚡ Rapid data center buildout ⚡ Larger models, trained faster ⚡ AI services built at lower cost ⚡ A magnet for global tech investment China’s power abundance gives it an AI acceleration advantage. While others stall, they scale. The Big Picture: AI is both driving and straining global energy systems. It offers solutions: grid optimization, renewable acceleration, energy-aware compute. Energy strategy is now core to AI strategy. And AI is reshaping geopolitical influence. Is your AI roadmap factoring in the energy equation? Reach out if you need help. ____ If you found this valuable, please repost it ♻️ and follow me, Dr. Lisa Palmer, for more practical business insights about AI. #AI #China #Energy #DataCenters #Geopolitics #AppliedAI #NCX #DrLisaAI
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Andrew Leigh shared thisAI is the new status quo. It raises the bar but it’s still predictable and boring like fast food. Unpredictability will always be the spice of life.Andrew Leigh shared thisSpotify used to be about discovery. Now, it’s about *vibes.* Liz Pelly’s Mood Machine lays it out: The platform has shifted from helping people find new music to curating playlists that fade into the background. Instead of sparking curiosity, it reinforces what’s familiar. Brands are doing the same thing. When you optimize for the algorithm, you stop optimizing for your audience. Content gets smoothed out, refined, tested, and re-tested until it sounds the same. It’s perfectly engineered for scrolling—but stripped of anything that might surprise, challenge, or leave an impression. So what’s the lesson here? Architecting around an algorithm is data-driven. Adaptive. Proven. But left unchecked, surprise gets engineered out. Audiences might engage with what feels familiar for a time, but chances are they won’t remember it. The ideas that shape culture—the ones that spread—aren’t expected. They’re a little off. They create friction. And friction isn’t failure! It’s what makes a message stick. The algorithm rewards what’s familiar. The market rewards what’s different. Brands that stand out don’t just optimize for attention; they give people a reason to care. They use audience insights to shape narratives, not sterilize them. Because in a world of infinite content, the winners aren’t the ones who blend in. They’re the ones who make people think. #articlegroup #marketing #socialmediamarketing #spotify #makethemcare #onetoomanyhashtags
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Andrew Leigh liked thisAndrew Leigh liked thisAs we head into Black Hat and Defcon, so excited to announce that Kyberis has launched as an independent company. We built GenLab Venture Studios to invest and build at the intersection of AI, defense, and space infrastructure. Kyberis is that thesis in action. Human analysts have always been trusted to make good calls because they can trace a claim back to its source, weigh how reliable that source is, and use judgment built over years of experience. That's what good decision-making has always required: not just data, but grounded, verifiable truth behind it. LLMs and autonomous agents don't have that by nature. They can reason brilliantly, but reasoning is only as good as the ground truth it's reasoning over, and by themselves, models have no way to know what's actually true versus merely plausible. As agentic AI takes on a growing share of enterprise and government decision-making, these systems need a trusted source feeding them intelligence they can verify, not just consume. That's what Kyberis delivers. Confidence-scored, provenance-grounded, MCP-native intelligence that gives autonomous systems the same grounded, explainable truth a skilled analyst relies on, at a speed no human can match. A great effort led by Chris and Justin to bring this to reality. Chris Kirschke is Founder and CEO. 25 years in cybersecurity, Co-Chair of the Cloud Security Alliance's AI Safety Initiative, and he saw this shift coming before most of the industry did. He's exactly the operator this company needs at the helm. Justin Dossey is CTO, and he's the reason there was anything to spin out in the first place. Justin built the technical foundation for Kyberis inside GenLab from the ground up, working in close partnership with DCSO Deutsche Cyber-Sicherheitsorganisation GmbH to turn a hard technical problem (machine-reasoning-ready, provenance-grounded threat intelligence) into something real and working. This launch exists because of what he built. Huge thanks also to Andreas Rohr , Dominic Coxinho and the whole DCSO Deutsche Cyber-Sicherheitsorganisation GmbH team for building this with us from day one. This is our studio model doing exactly what it's meant to do: incubate inside GenLab, build real technology with the right partner, spin out when it's ready to stand on its own. Congratulations to the entire Kyberis team. Full press release: https://lnkd.in/gi9TtGKU #AgenticAI #CyberSecurity #ThreatIntelligence #VentureStudio #AI #Explainability #TrustedAI #DualUseTechnology #GenLab #Kyberis #StartupLaunch
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Andrew Leigh liked thisClem is uniquely positioned to talk about "the OpenAI Hack" because it's his company that it was done to. About 2 years ago I described Hugging Face as "the most important AI company that nobody's heard of". But I think a lot more people have heard of them now. They've been profitable for many quarters, they're the world's most important online exchange for AI models and tools, and they've got a growing business renting tech stacks to companies to run their own AI. Their investors include NVidia, Amazon, Intel, Salesforce, IBM and Google.Andrew Leigh liked thisThe first autonomous agent cyberattack is an unprecedented event that deserves unprecedented transparency. Today we’re sharing everything we can: a full technical timeline, an interactive replay, and how we used an open model to defend ourselves, so defenders everywhere can learn from it and prepare for what’s next. https://lnkd.in/eNMnXBM5
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Andrew Leigh liked thisAndrew Leigh liked thisRussian Offensive Campaign Assessment, July 27, 2026: Russian President Vladimir Putin is trying to militarize Russian society and to shift the responsibility for the war in Ukraine onto the Russian State Duma deputies and the Russian population. Read the full report: https://lnkd.in/ePNXaCeg Other Key Takeaways: Putin continues efforts to persuade personnel mobilized in 2022 to sign contracts with the Russian Ministry of Defense (MoD) and continue fighting in Russia’s war against Ukraine. Putin continues to marginally increase the authorized end strength of the Russian Armed Forces as part of ongoing Russian military reforms. Ukrainian forces continued their long-range strike campaign against Russian export and oil infrastructure from July 26 to 27. Russia launched 147 drones against Ukraine overnight on July 26 to 27. Neither Russian nor Ukrainian forces made confirmed advances on July 27.
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Andrew Leigh liked thisAndrew Leigh liked thisAppirio 20th Reunion — Of Course I'll Be There! I love celebrating and learning from the past with an eye always toward the future. This reunion is a rare chance to do both, with so many people who imprinted themselves on my work life and on who I am outside of it. For me, webMethods shaped who I was. Without it, there would be no Appirio. Seeing all the amazing things everyone has done since, I can only hope that what we built had a small ripple effect on others' journeys. Every post I see with a former Appirian - a new founder, a first-time CEO, an exit, someone quietly mentoring the next person, or just genuine happiness in the work they've chosen - brings me joy. I want to hear those stories in Indianapolis and beyond - the wins, the pivots, the "remember when we…" - from everyone, not just the usual suspects. And if we've lost touch, consider this your nudge! Oh, and I fully intend to make fun of my co-founders. And oh so many others. Come ready. :) Registration link: https://lnkd.in/gthZQiD2 cc Michael OBrien Chris Barbin Glenn Weinstein
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Andrew Leigh liked thisAndrew Leigh liked thisJoin me in celebrating Federico L. on thirteen years at Copado! As our CTO and Co-Founder, Fede has been one of the driving forces behind the technology and product vision that define who we are. His tenure and continued leadership say everything about the culture we've built together. Thank you, Fede! #Copado #AIInnovation
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Andrew Leigh liked thisAndrew Leigh liked thisIt was driving me nuts! Three years working with the same AI, and it started talking like a stranger the last few weeks. It has the same preferences, instructions, skills, and memory of our past conversations. But its answers got longer and more roundabout, and I found myself re-reading to understand the point. Where I used to get one clear, short paragraph, I was getting 3-5 dense paragraphs with a lot of clever turns. The AI is Claude, and I use it every day, especially as a sparring partner for strategic thinking. I've seen the same drift in other AI tools too. The thinking was still good if I could get through the mental gymnastics. My guess is that model updates shifted its default style. I can't prove that but the change is noticeable. AI drifts as it advances, so you have to keep monitoring and adjusting. It's not set once and forget. I hadn't touched my preferences in the settings. So I went back and read them. My instructions said things like "be clear" and "be concise." Those are adjectives. They're not specific enough to tell Claude what to do. So it used its own definition of clear, which ran longer and more polished than mine. The fix was to swap every adjective for a behavior. These are the swaps I made. I'm seeing early improvements. I'm still testing for consistency, and I'll keep you posted. If you work with AI every day, go read your preferences for how you want it to talk to you in settings and count how many are adjectives. Have you noticed your AI changing? And how did you guide it back?
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Andrew Leigh liked thisAndrew Leigh liked thisBIG NEWS: the U.S. Department of Veterans Affairs has awarded Salesforce a $1.6 billion Agentic Enterprise License Agreement to transform how VA serves America's 17 million Veterans. VA is using Salesforce to help the men and women who served our country get the care and support they have earned. We are bringing the same world-class technology that the best private sector companies have to fulfill that mission. With the power of Missionforce behind it, VA will be able reach their goal of reducing the time required to schedule an appointment from an average of 28 days to just minutes once fully deployed. That's what it looks like when the #1 AI CRM in the world is put in service for a mission. VA has been one of our most committed partners for over a decade — and this agreement is about taking everything we've built together to the next level. We're putting the best of Salesforce directly into the hands of VA's 467,000 employees and 17 million of Veterans. Under this new agreement, VA will deploy: → Salesforce AI-powered 24/7 virtual contact center support and care coordination → Slack across 150+ VA medical centers and outpatient facilities → MuleSoft and Data Cloud to unify data into a real-time view of every Veteran → Tableau dashboards giving VA leadership the visibility to make faster, smarter decisions I couldn't be prouder of our mission-first team across Public Sector and Missionforce. ❤️ 🫡 🚀 Special thanks to Dave Rey, Kevin Paschuck, Dan Davis, Mark Cerniglia , Michael Moore, and Liz Bodell and the whole team that's worked tirelessly on this partnership for years to make it one of our very best. https://lnkd.in/gvEY-QpgVA awards Salesforce $1.6B contract for veteran care and servicesVA awards Salesforce $1.6B contract for veteran care and services
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Andrew Leigh liked thisI am excited to share I have joined Canaccord Genuity today as a Managing Director in the Technology, Media, Marketing and Information Services (TMMIS) group on the Investment Banking team. I'll be focused across IT & digital services where I have been focused for the past 16+ years. Please note my new contact info: smurdoff@cgf.comAndrew Leigh liked thisCanaccord Genuity is pleased to announce that Sherrick Murdoff has joined the firm as a Managing Director in our Technology, Media, Marketing, and Information Services (TMMIS) group of our U.S. Investment Banking team. Sherrick will leverage his extensive sector experience and network to support our clients across the technology landscape, with a particular focus on IT and digital services companies. Read the full announcement here: https://lnkd.in/e-bRYyDk
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Andrew Leigh liked thisAndrew Leigh liked thisI met Sgt. Martinez in a hospital tent in Iraq. He came through the green doors with his commander after an explosion. He wasn't bleeding. He wasn't limping. He was talking. I told him he was fine, and I sent him back to patrol. A few minutes later, he came back. Still confused and complaining of a headache. I had missed it. At the time, blast exposure wasn't considered a cause of brain injury at all, so there was no protocol to follow and no tests to order. We had a hospital tent, a few colleagues, and a soldier who was clearly hurt. So we looked harder. What we found ended up in the New England Journal of Medicine (NEJM Group) and changed how brain injury is treated. For years, I thought the best medical innovation required more. More resources, more time, and fewer constraints. Our hospital in Iraq had none of that. It taught me that constraint and urgency are actually where breakthroughs happen. I’m not sure whether this is teachable, or whether it only ever arrives the hard way. That’s part of why I gave this TEDx talk. "What War Taught Medicine About Saving Lives " 👉 https://lnkd.in/gsVzqKSh
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San Francisco State University
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International Relations Journal, San Francisco State University
Managing Editor (2026 Edition)
Lead editorial and production operations for the university’s flagship peer-reviewed IR journal.
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