AI adoption surges, but scaling is a challenge.

Here's a stat that might surprise you: 78% of organizations now use AI in at least one business function - up from just 55% in 2023. But here's the catch: only 44% actually track KPIs to measure their AI ROI. This gap explains why some companies are seeing 80% productivity boosts while others struggle to see any return. The difference? Strategic implementation. Real-world impact is already here: • Workers complete tasks 66% faster with AI assistance • Companies save 49% in service operation costs • Marketing teams report 71% revenue increases from AI-driven personalization Yet 73% of employers say they can't find enough AI talent, and 60% lack ethical AI policies. The opportunity window is closing fast. By 2030, AI could add $15.7 trillion to the global economy - but only for those who act now. The question isn't whether to adopt AI anymore. It's whether you're measuring what matters and building the right skills to capture the value. What's your biggest challenge with AI implementation? Learn practical AI skills that drive real results: https://lnkd.in/gRVF62QP

Here's what surprised me about AI in 2025: It's not replacing jobs the way everyone predicted. According to recent studies, businesses using AI aren't cutting staff. They're doing something different: giving their teams superpowers. The data shows: - Customer service teams respond 3x faster with AI assistance - Marketing teams cut content creation time by 60-70% - Sales teams never miss follow-ups with AI reminders But here's the real insight: The most successful companies aren't using AI to replace people. They're using it to compete with companies 10x their size. The gap is forming right now between businesses that embrace AI and those that don't. Question: If AI could handle your 3 most time-consuming tasks, what would they be? 💡 Want to learn how service businesses are actually using AI? (Real strategies, not hype) 👉 https://lnkd.in/gRVF62QP

AI isn’t optional anymore—it’s becoming essential. Here’s what I’m seeing with small and medium-sized businesses: 1️⃣ They’re trying to do too much at once. 2️⃣ Or more often—they have no idea how to actually bring AI into their workflow. That’s why every Thursday at 9:30am I host The AI Edge on Zoom. In 30 minutes, I share a practical AI tip and walk through exactly how we’re using AI in our business—what’s working, what’s not. My take: if a business isn’t actively experimenting with AI right now, it’s only a matter of time before they’re left behind. Remember when some companies said, “Why do I need a website?” back in 2000? Exactly. Join me Thursdays and see how AI can fit into your business: 👉 https://katahdin.ai/ What do you think—are businesses moving fast enough with AI, or not? Drop your thoughts in the comments.

Everyone’s asking where to use AI. Fewer are asking whether they understand the work well enough to decide. We often talk about AI through the lens of opportunity — where it could be applied to drive efficiency, speed, or better decisions. But before we ask where, we need to ask what we’re optimizing for —and whose work reality we’re optimizing within. Because most organizations don’t truly see work as it’s lived. They see it through process maps, system logs, and job descriptions — all partial truths. The result? ✨ AI pilots that look brilliant on paper but underperform in practice. ✨ Tools designed for tasks that don’t actually consume the most effort. ✨ Capacity released in one place, only to reappear as hidden load elsewhere. If we want AI to augment work effectively, we need a more complete view of work itself — one that includes: • What people really do (not just what’s prescribed) • Where friction accumulates (and why) AI deployments grounded in this kind of insight become not just efficient but adoptable. Because they start from the worker’s lived experience — not just the executive's wish list. 💭 What signals tell you that your organization truly understands the work before applying AI? ---- If you're interested in seeing how organizations I am working with are gaining the necessary visibility into work and workflows, and/or share how you are doing it - reach out, I'd love to connect.

“If your AI can’t learn from you, it will never work for you.” This perfectly captures what we see every day in the field. The real value of AI lies in how well it learns your context, your business and your world.

Simplyfing AI Article #17: The Hidden Cost of Plug-and-Play AI: Everyone wants “plug-and-play” AI — fast, cheap, and effortless but here’s the truth: most of those “easy wins” never reach the finish line. Over 90% of GenAI pilots today never move beyond experimentation. Not because the models are bad — but because they don’t learn. They don’t adapt to your workflows. They don’t remember your context. They don’t get better with use. In short, they’re tools without memory — and that’s a dead end. Real AI transformation doesn’t come from flashy demos; it comes from systems that learn from feedback, integrate deeply, and evolve with your business. If your AI can’t learn from you, it will never work for you. SAS builds learning-capable AI ecosystems designed to adapt continuously through feedback loops, integration with enterprise systems, and trusted governance, SAS helps organizations move from isolated experiments to measurable business outcomes. We call it Responsible, Explainable, and Evolving AI.

Terms like Machine Learning, Generative AI, LLMs, and AI Agents are everywhere—but what do they actually mean for your business? I just released a new video that breaks it all down in plain English. It’s designed for business leaders and technical professionals in SMEs who want clarity, not confusion. By the end of the session, you’ll be able to: • Speak confidently about key AI terms with your team and clients • Spot what delivers real ROI—and what’s just buzz • Brief your team, challenge vendors, and identify quick wins • Choose tools that align with your business needs The goal isn’t to impress anyone with jargon. It’s to help you make better, faster decisions with a clear understanding of what matters. Watch the full video here: https://lnkd.in/eGeHqNqg If you're evaluating AI for your business or team, this is a solid place to start. Eething finally clicked for you—what was the one concept that became clear? #AI #AIforBusiness #GenerativeAI #MachineLearning #AIAgents #DigitalTransformation #SME #BusinessStrategy #Automation #LLM #NoCodeAI #AIAutomation #BusinessGrowth #AiGenticLab