AI in Action

Many organizations are discovering that the real leverage point in the AI era isn’t the model — it’s the leader. As systems take on more decisions at scale, the consequences of unclear intent, weak guardrails, or fuzzy problem-framing multiply fast. Companies keep investing in more powerful AI, yet the real differentiator is becoming unmistakable: the leaders who can guide decisions at scale. When an AI system rolls out, it doesn’t just generate outputs — it creates a new layer of automated decisions that ripple through teams, workflows, and culture. If leaders don’t define the context, the intent, and the guardrails, the system fills in the gaps on its own. That’s where misalignment (and costly surprises!) begin. This new episode of AI in Action digs into why human judgment has become the defining variable in whether AI accelerates clarity or amplifies confusion. They’re the ones who understand how technical decisions, human decisions, and organizational decisions interact.. And who shape that ecosystem with intention. The focus is on decision leadership: understanding how technical outputs, human choices, and organizational dynamics interact... and how to guide that ecosystem with precision. When leaders build this capability, AI stops being a risk magnet and becomes a force multiplier. The result is a competitive advantage that scales: better framing, better choices, and better outcomes, amplified by AI rather than distorted by it. 👉 Check out the video and don't forget to share it with the smartest leader you know. #AILeadership #DecisionIntelligence #GenerativeAI #AIinAction #Strategy #DigitalTransformation Your turn: Which layer is proving most challenging in your world right now — technical, human, or organizational? Your comments make the (digital) world go around and your reposts ♻️  make my day.

I built an AI whose only job is to fight with my other AI. The setup is two custom GPTs: one to generate ideas (Builder), and one to tear them apart (Auditor). Then I call them with @ in the same chat and let them fight it out. The Auditor critiques, and the Builder refines. This is using an LLM as a judge. The back-and-forth produces output that's sharper and more creative than what one model can output. Works for product launches, campaigns, RFPs, whatever needs a real critique instead of the AI just agreeing with you. Repost and save for later ♻️

New AI tools can turn hackathons into family activities. Cohere chief AI officer Joelle Pineau says she's used AI software to get back into coding after a long break. She even got the family involved where they built a mobile app from scratch. The result: Six letter Wordle! Pineau said she chatted through the coding with the bots, and they helped her get through the tricky parts. One of the keys? Giving an extra turn to the players to keep them in the game in the more difficult version of the standard game.

Stop chasing the perfect prompt. The real AI skill? Self-awareness. You can memorize every technique in the book, but if you don't know what good looks like for YOU, you'll still get mediocre results. AI amplifies clarity. It can't create it. Know your style. Know your standards. Know what you're actually trying to achieve. Then the prompts become easy.

This career in AI began at the circus. 🎪 “I've built a career out of chasing challenges,” says Eich Nguyen-Levine, former robotics test specialist at Neya Systems, an advanced autonomous and robotics company that builds unmanned off-road vehicles for a variety of public, private, and military use cases. And they mean it. Eich went from circus, clowning, and theater to testing 40-ton robotic rigs rumbling over rocks and brush. Eich shows how creativity and problem‑solving can open doors in fast‑emerging industries like AI and automation. 💡 Eich’s advice for navigating the job market? “Look for the voids… and go for it.” What skill helped you make a leap in your career? Watch the video, then share your story in the comments!

Henrik Werdelin, the entrepreneur behind brands like Barkbox, shares how he is using AI to help incubate and found new companies — with his new startup studio Audos. He speaks with Bloomberg Tech's Caroline Hyde bloom.bg/3XGMPXT

AI risk isn’t someone else’s job. Too often, leaders assume it’s the domain of IT, compliance, or data science... but the truth is, AI risk cuts across every part of the business. Brand, trust, liability, reputation are all on the line. Here are five categories of AI risk every executive needs to own: 1️⃣ Data security: AI expands your attack surface in ways traditional systems never did. 2️⃣ Output quality: “Polished” ≠ “reliable.” Verification has to be part of the workflow. 3️⃣ Bias: Every dataset reflects human choices. Leadership decides whether to amplify or correct.  4️⃣ Privacy: AI can expose patterns you didn’t even know were sensitive. 5️⃣ Compliance: Global scrutiny is rising fast; reactive mode isn’t a strategy. Each of these connects directly to organizational trust and accountability. They’re not technical footnotes — they’re leadership imperatives. Your turn: what other category of AI risk do you think belongs on this list? Your comments make the (digital) world go around and your reposts ♻️  make my day. #AILeadership #DecisionIntelligence #GenerativeAI #AIinAction #Strategy #DigitalTransformation Don't forget to mash, ahem no, daintily tap that follow button for more.

Leaders are discovering the hard way that “plug-and-play AI” is mostly a myth. The tech may look polished, but the real work begins where the glossy demo ends. This new episode of AI in Action breaks down why so many teams burn budget, time, and momentum before they ever see meaningful value — and why the missing ingredient is almost always the same: precise, upfront definitions of success. ❌ Clear metrics aren’t paperwork. ✅ They’re strategic infrastructure. Without them, AI initiatives drift, stall, or quietly accumulate hidden costs. With them, teams avoid rework, manage risk, and actually ship systems that hold up under the pressure of real users and real workflows. If you’ve ever watched an AI project spiral because “it looked easy at first,” this one will resonate. We also dig in to an irreconcilable conflict between you and your vendor. 🎥 Video below. Your turn: What’s one “plug-and-play” promise you’ve seen turn into a long, messy integration story? Your comments make the (digital) world go around and your reposts ♻️ make my day. #AILeadership #DecisionIntelligence #GenerativeAI #AIinAction #Strategy #DigitalTransformation Don't forget to mash, ahem no, daintily tap that follow button for more.

"Agent Mode" in most AI tools makes unnecessary mistakes. I show an approach to gain more granular control over your AI Agent Workflow in this week's #AIinAction Video. I'm excited about the implications of having user-friendly tools that can give people more control over *how* they automate tasks. What other ways can you gain more control over your AI Agent's decision making process? Let me know in the comments!

Falling behind on adopting the latest AI capabilities can result in lost potential revenue, slower hiring, and reduced productivity, according to a new Zoom and Deloitte report. Zoom CMO Kimberly Storin joins Ed Ludlow to discuss the challenges and opportunities for businesses using AI-driven collaboration https://lnkd.in/egVBu_Kt