Hassan Osman

5 skills every leader needs: -Empathy -Negotiation -Active listening -Storytelling -Persuasion 1. Empathize with employees 2. Negotiate for a win-win 3. Listen for pain points 4. Make it stick with stories 5. Encourage action

All 7 questions are essential, but Q2 (The AWE Question: “And What Else?“) is a crown jewel among them According to Stanier, this question is considered “the best coaching question in the world” because it invites employees to share more options, which leads to better decisions.

6. The Strategic Question: If you’re saying Yes to this, what are you saying No to? 7. The Learning Question: What was most useful for you? Each question is discussed in a separate chapter, providing a set of best practices and tactics that leaders can use.

The best coaching question in the world: "And what else?" I'm currently re-reading "The Coaching Habit" by 📚Michael Bungay Stanier and the book covers seven essential questions that leaders can use during their coaching conversations:

Why this works: → You learn and fix issues w/ small groups → People see peers succeeding (more credible than top-down) → You avoid overwhelming your organization → You build momentum through wins, not mandates It's better to train 50 people thoroughly than 500 people poorly

1. Start with 2-3 pilot projects per department 2. Train your AI champions first (not everyone) 3. Have champions train 3-5 people in their teams 4. Let those people prove it works THEN expand to full departments

Everyone says "move fast" with AI. It's a better idea to slow down. Here's why: After successful AI pilots, most companies make one fatal mistake: They try to train the entire organization at once. Bad idea. Instead, use the "slow-roll" approach:

"This is my last annual shareholder letter as the CEO of Amazon." Jeff Bezos laid out a simple rule: If the world pulls you toward average, then fight harder to stay different.

@robrounsavall Thanks Robert! I appreciate you reading it. Glad you found it helpful and thank you for the kind endorsement!

@HassanO This is excellent, I've bought, read, and recommended already! Love the additional templates included. If your org is implementing an AI strategy this is a super quick and valuable read.

"AI Change Management Made Simple" just hit No. 1 Amazon bestseller status in three categories 🙏 My goal with the book was simple: help teams introduce AI with less friction and less fear. If you’re leading AI change and want a practical playbook, it’s still $0.99 on Amazon

Here's the link to the book: amzn.to/4nIu2Xj

Just published a new book! (And it's only $0.99) It's called "AI Change Management Made Simple" And it provides a step-by-step approach to help business leaders drive generative AI transformation. Grab it on Amazon by clicking here: amzn.to/4nIu2Xj

The "Ben Franklin Effect" (a persuasion technique to win someone's respect) 👇

I'm writing a new book called "AI Change Management Made Simple" and I'm looking for early reviewers. It's about a 9-step framework for business leaders who want to drive gen AI transformation Interested in being an early reviewer in exchange for a free copy? Let me know!

Armstrong admitted the move was “heavy-handed,” but it sent a clear message. Leaders are increasingly recognizing that adopting AI is no longer optional. More here: aiworktalk.com/p/ceo-fires-en…

A CEO fired engineers who hadn't tried AI by the end of the week. On a Saturday morning call, Coinbase CEO Brian Armstrong asked employees to justify why they hadn’t tested AI tools. Those without a solid answer were fired on the spot.

More in today's "Leadership 80/20" newsletter here: leadership8020.com/p/the-four-day…

The 4-day workweek is being adopted by most companies that try it. Cutting useless meetings + focusing on what matters + using AI strategically = a 4-day work arrangement that makes your organization more productive and employees happier

More in today's edition of "AI for Leaders." Click here to check it out: aiworktalk.com/p/why-95-of-ai…

Only a tiny 5% of AI initiatives have broken through with “millions in value” – the rest are stuck in experiment mode with no impact on the bottom line. Why the gap? The biggest culprit is a learning and integration failure, not lack of data or talent.

95% of AI projects are failing to deliver A new MIT Media Lab study reveals that despite companies pouring $30 to $40 billion into enterprise AI projects, 95% of generative AI pilots are yielding no measurable ROI.