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Brian Kinahan shared thisThis is your reminder: AI isn’t just software, it’s infrastructure. The ongoing Iran conflict is exposing vulnerabilities in the AI supply chain, particularly around chips, energy, and global logistics. Analysts warn this could slow investment momentum and potentially deflate parts of the AI market bubble. Leaders who rely heavily on AI need to start thinking like operators of global supply chains, not just users of tools. The next competitive edge won’t just be who uses AI, but who has resilient access to it. Smart organizations will diversify vendors, invest in efficiency, and plan for volatility now, not later. Join our newsletter (link in my tagline) for more on the latest AI news, our perspective on what it means for you, and ready-to-use prompts to level up your business. https://lnkd.in/g-DEKXZh
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Brian Kinahan shared thisExecutive search used to be about access. Now access is everywhere. So what’s actually still valuable?
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Brian Kinahan shared thisAI will force some layoffs. Avoiding that truth does not make you a better leader. It just makes the outcome slower and messier. Here’s the tension most leaders are sitting in: You want to take care of your people. But you also know parts of the work no longer make sense. Compassion is not pretending nothing will change. Compassion is being clear early. Clear about what work is going away. Clear about what skills matter next. Clear about who is willing to adapt. Most teams are not resistant. They are just in the dark. If you lead this well, you will upgrade how your business works. Comment “roadmap” if you want a free 30 min working session to map where AI actually fits in your business. #AIAdoption #Leadership #Operations #Workflow #Simplicity
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Brian Kinahan reposted thisBrian Kinahan reposted thisAI will make mistakes. So will your team. The real question is not accuracy. It is design. Where does work get checked? Where does it move fast? High risk work needs review. Low risk work should not slow down. Most teams skip this and hope for the best. Better approach: • Clear ownership • Defined boundaries • Built-in review points AI works when the workflow is clear. Comment “structure” if you want help mapping this into your workflows.
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Brian Kinahan shared thisAI is not yet replacing work at scale, it’s reshaping it. Leaders who prematurely cut talent in favor of immature AI risk operational setbacks and rehiring costs. The smarter move is augmentation, not replacement. Strategic patience with AI implementation will outperform reactive cost-cutting disguised as innovation. The new question is how will leaders redesign workflows, upskill teams, and embed AI into decision-making. Join our newsletter for more on the latest AI updates, our perspective on what the news means for you, and ready-to-use prompts to level up your business. (Link in my tagline)Brian Kinahan shared this🔗: https://on.wsj.com/4c8hNAg Leaders at Amazon, Block, Atlassian and other companies have linked recent layoffs to AI. But economists and machine-learning specialists say existing technology isn’t ready to take humans’ jobs at scale. They argue the most likely reasons for head-count reductions remain the same as ever: slower sales, shifting priorities and previous overhiring. “AI washing is pervasive right now,” says J.P. Gownder, vice president and principal analyst at Forrester Research. “It sounds so much better to say, ‘We’re laying people off because we’re so good at AI and we’re creating all these efficiencies.’ That sounds so much more rational and innovative.” U.S. employers laid off more than 1.2 million workers in 2025, according to Challenger, Gray & Christmas, a firm that advises companies on staff reductions and helps departing employees find new work. Forrester estimates that fewer than 100,000 of those job losses were primarily attributable to AI productivity gains or cost savings. Citing AI when downsizing can make a company seem ahead of the curve and boost its stock value. Investors like the idea of a business using technology to run leaner. Gownder says he speaks regularly with managers who tell him that AI tools need more time to prove their capabilities. Often, there are cybersecurity and regulatory compliance hurdles to clear before a bot can take over a person’s tasks.
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Brian Kinahan shared thisMost companies do not have an AI ROI framework. They guess. A simple framework: Define the workflow Measure current time or cost Apply AI in one step Measure again after 30 days If nothing changes, fix the workflow. AI without measurement is noise. Clarity creates confidence. Comment “Clarity” to book a free Roadmap call today. #AIAdoption #ROI #Operations #Workflow #Leadership
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Brian Kinahan reposted thisBrian Kinahan reposted thisMost leaders don’t have an AI problem. They have a starting problem. Too many tools. Too much noise. No clear place to apply it. So teams stall or dabble without real impact. That’s why we focus on prompts tied to real workflows. Each week in the Automatic Leader newsletter, we share: • 3 practical prompts you can drop into real leadership work • 3 hot AI updates with a clear operator lens No theory. Just where this actually fits in your business. Small wins stack. That’s how adoption happens. Comment “newsletter” and we'll send you the sign up. #AIAdoption #Leadership #Workflow #Operations #Simplicity
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Brian Kinahan shared thisReposting this from Ruben. Everyone’s excited about Claude Code. Almost no one is ready for it. Here’s why: If your workflow is messy, this just helps you fail faster. You’ll generate more. Move quicker. Break things at scale. And then blame the tool. The hard truth: AI like this only works in businesses that already know how work gets done. - Clear steps. - Clear ownership. - Clear standards. No clarity = no value. Before you chase the next tool, fix how your team operates. Take our AI Maturity Quiz and see if you’re actually ready. https://lnkd.in/ebZdD7ZY #AIAdoption #Leadership #Operations #Workflow #SimplicityBrian Kinahan shared thisClaude Code is the most powerful tool you're not using. How to start (with zero coding experience): Instead of hiring a developer, Claude Code lets you type what you want and get a live website. You can build landing pages, dashboards, and custom tools, from a screenshot and a sentence. That means no code, no tutorials, and no waiting on someone else's timeline. This is the full setup guide (save this to return back to later): 1. What You Need Two things: the Claude desktop app (Pro account) and a free GitHub account. GitHub is where your code lives online. Think of it as Google Drive for code. → Without the right setup You click "allow" 20+ times per session. Every pop-up kills your flow. ☑ With the right setup You type one prompt. Walk away. Come back to a finished site. 2. How to Prompt Claude Code Start with a screenshot. "Build something like this for [my project]." 10x faster than describing it. Describe the result, not the steps. "Landing page, big headline, 4 services, booking link." Point Claude to your files. "Read my folder first. Use my tone and style." One thing at a time. Homepage first. Then contact page. Each conversation is a sprint. 3. Give Claude a Memory Every time you reopen Claude Code, it forgets everything. Your fonts. Your colors. Your structure. One prompt fixes it: "Create a CLAUDE.md file in the root of this project. Write down everything you've learned so far." Claude reads it first, every time. Consistency across sessions. 4. The Advanced Tip That Makes You 100x Faster The Claude desktop app works. But every action triggers a permission popup. 20+ per session. You can't walk away. You babysit. Here's the bypass: Step 1. Download VS Code (free). Step 2. Install the Claude extension by Anthropic. Step 3. Open Settings → turn on "Skip Permissions." Step 4. Open a new session. Make sure "Bypass permissions" is on. That's it. Now you type a prompt. Claude reads your files, writes code, creates pages, runs commands. Zero interruptions. You go do something else and come back to a finished project. You will build anything 100x faster. ✦ Where Claude Code Falls Short Burns usage fast. 1 session = 20+ regular chats. You can't review code yourself. Fix: test the site. Click everything. Check mobile. Fix: "Stop. Give me 2 different approaches." Design taste is average. Fix: always attach reference screenshots. To download this infographic & share it with your team, follow these steps (it's free): 1. Go to how-to-ai.guide. 2. Subscribe with your work email. 3. It will ask you to pay, but don't pay. 4. Open my welcoming email (wait 2 min). 5. Access my "Prompt Library" with cheat sheets. 6. Enjoy and ♻️ repost this image for others to find it! PS: I wrote a much longer step-by-step guide on how to use Claude Code for people who don't code (like me). It's too long for Linkedin. So I wrote it on Substack, for free. Access it here: https://lnkd.in/d4qamGtM.
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Brian Kinahan shared thisIf you know a talented marketing manager in the Americas, apply or reach out to Mana Rasoulzadeh. #hiring #marketingmanager #B2BMarketing #LATAMJobs #RemoteWork
Brian Kinahan commented on a post
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Good callout. A lot of teams stay in the “chat” layer and think they’re getting leverage, but it’s still manual. The shift happens when it’s tied directly to the task and runs inside the workflow. That’s when it stops being interesting and starts being useful.
Brian Kinahan replied to a comment
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Exactly right. Most teams jump to tools because the workflow feels messy, but that’s the signal to slow down, not speed up. Once the workflow is clear, the right tool usually becomes obvious and a lot easier to adopt.
Brian Kinahan replied to a comment
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Ken what’s visible is usually just the symptom, not the system. Once you trace what’s actually driving the behavior, the fixes get a lot simpler and tend to stick.
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Brian Kinahan liked thisBrian Kinahan liked thisDon’t be stuck only on ChatGPT. The real power of AI starts when you stop using one tool. And start building a workflow with niche AI tools. Recently, I observed something interesting. Two people said they use AI. Both said the same thing. “I use ChatGPT every day.” And both of them did not see any huge productivity boost with AI. That is when the difference became obvious. → Beginners are stuck on ChatGPT. → Experts build a stack of niche AI tools. And that shift changes everything. Look at how advanced operators actually work today: • Use n8n → Automate AI agents • Use Zapier → Connect thousands of workflows • Use Replit → Build software faster • Use Cursor → AI-assisted coding • Use ChatGPT Deep Research → Deep analysis • Use Freepik AI → Generate visuals instantly • Use Higgsfield →Ccreate AI videos • Use VEED → Edit videos faster • Use Beehiiv → Run AI powered newsletters • Use VidIQ → Optimize YouTube growth • Use Tweet Hunter → Accelerate X growth • Use Supergrow → Grow on LinkedIn • Use aiCarousels → Create viral carousel posts This is how AI starts becoming your digital workforce. The real unlock is simple: • One tool → Small improvement • Many niche tools → 10x productivity boost The operators who win in the next decade will not just “use ChatGPT”. They will orchestrate AI tools together. That is the difference between experimenting with AI… And actually compounding productivity with it. Take a look at the infographic below 👇 It perfectly visualises how beginners and experts perceive AI. You might recognise yourself somewhere on that iceberg. Do's when using niche AI tools: ✅ Use specialized tools for specific tasks ✅ Connect tools together using automation platforms ✅ Build repeatable workflows instead of one off prompts ✅ Evaluate tools based on real productivity gains ✅ Combine AI tools to create leverage systems Don'ts when using niche AI tools: ❌ Do not rely on one AI tool for everything ❌ Do not chase every new tool without a workflow ❌ Do not ignore automation opportunities ❌ Do not skip testing tools in real use cases ❌ Do not replace thinking with blind automation AI power comes from how many tools you can orchestrate together. If you want to master how to use ChatGPT at work with my free guide, get it here: https://lnkd.in/ezy3-CxF Curious to hear your thoughts. What do you think about using niche AI tools instead of relying on one AI platform? Comment below 👇
Experience & Education
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Automatic Leader
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Volunteer
Saint Roberts food pantry.
Social Services
Emergency food, psychological services, lunches and hygiene items for homeless persons, groceries for low-income families on weekends, and referrals to community resources
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NC Arts in Action
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The Execution Gap - Summit Study, Summary Findings
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See projectOur study confirms what is typically found in today’s strategy and
business performance literature and what is considered common sense by many. That is, successful companies get everyone on board with respect to where the business is going, how it plans to get there and how it’s doing along the way.
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