This group is a little more in tune with AI than the average manager so I thought I'd ask the question. What do you think most business managers actually struggle with when it comes to the notion of this generation of AI (meaning generative AI, not reasoning and planning models). Is there a fundamental misunderstanding of what it is? Maybe they don't fully understand the implications, or what? Not thinking of the CEO and executive team when I'm asking this, I'm thinking more the middle managers in non-tech companies (you know, the ones that drive the US or NA economies that aren't sexy).

Hey all, Order the pizza 🍕 it's NFL Playoff weekend! But the coaches aren't game-planning for Sunday... they're reverse-engineering from the Super Bowl. Every practice rep, every personnel decision flows backward from that trophy. And our businesses needs the same approach i.e. "Start with the end in mind" To help you do that, I've been deep in "AI Future of Work" research... all the podcasts, reports, expert debates. Not surprisingly, there's lots of disagreement on details, but there seem to be 5 things that experts actually align on: 1️⃣ Hybrid human-AI teams will become the standard: Most knowledge work will become AI collaboration, not replacement. The winners will direct & quality-check AI output. 2️⃣ Middle-skill jobs will transform the fastest: Such as analysts, project managers, junior marketers... roles heavy in routine analysis & coordination will be reshaped first. Tasks will shift from production to judgment. 3️⃣ Hiring criteria will flip to Learnability & Adaptability: Technical skills decay fast. So learning velocity, AI fluency, and judgment under ambiguity will become your primary hiring filters. 4️⃣ Org structures will flatten: AI will handles the coordination work, so spans of control will widen (Managers lead 20 people instead of 8?) Individual Contributors will gain autonomy & accountability. 5️⃣ The winners in your industry will emerge early: Companies investing now will create compounding advantages. The leader/laggard gap will widen significantly in the next 24 months. So, here's how we need to prepare for what's coming: ✅ Audit each role in your organization for AI exposure (break them down by actual tasks, not jobs) ✅ Upskill aggressively, especially middle managers (they'll be the most affected) ✅ Redesign hiring profiles around Learnability & Adaptability

Hey all! Joyce from Cartage. We built an AI model named Wilson that handles the not so fun parts of logistics coordination ie. emails, follow-ups, POs, chasing updates, and closing loops so things don’t fall through the cracks so teams can focus on work that actually moves the needle. Excited to learn how this group is thinking about practical, human first AI in the real world.

Hey - I'm CEO/co-founder of LearnHaus AI; we're building machine learning for human learning; research impact of emerging tech/AI; based out of Bay area; love spicy food; good to meet you all ;-)