- LIVE RICH RETIRE RICH
- Posts
- AI and the Future of Work: How to Stay Human in a Machine-Driven World
AI and the Future of Work: How to Stay Human in a Machine-Driven World


How High-Net-Worth Families Invest Beyond the Balance Sheet
Every year, Long Angle surveys its private member community — entrepreneurs, executives, and investors with portfolios from $5M to $100M — to understand how they allocate their time, money, and trust.
The 2025 High-Net-Worth Professional Services Report reveals what today’s wealthy families value most, what disappoints them, and where satisfaction truly comes from.
From wealth management to wellness, from private schools to personal trainers — this study uncovers how the top 1% make choices that reflect their real priorities. You’ll see which services bring the greatest satisfaction, which feel merely transactional, and how spending patterns reveal what matters most to affluent households.
Benchmark your household’s service spending against peers with $5–25M portfolios.
Learn why emotional well-being often outranks financial optimization.
See which services families are most likely to change — and which they’ll never give up.
Understand generational differences shaping how the wealthy live, work, and parent.
See how your spending, satisfaction, and priorities compare to your peers. Download the report here.
Last week we explored how your mind, body, expression, and environment shape your wealth. This week, let’s take a step into something both fascinating and a little unsettling: artificial intelligence and the future of work.
If you’re a corporate leader, a business owner, or an independent creator, you’re likely noticing the shift. AI isn’t just another productivity trend. It’s redefining how we think, create, and connect. Yet the question I hear most often is not “How does it work?” but “Where does this leave me?”
That’s where we’ll focus today. Let’s get grounded in data, cultural insight, and practical wisdom so you can stay ahead, not in fear, but in clarity.

AI Isn’t a Revolution Waiting to Happen. It’s Already Here.
If you’ve ever asked Siri a question, streamed music on Spotify, used Google Maps, or used predictive text, you’ve interacted with AI. What’s new now is generative AI, systems that write, design, and create content based on learned patterns. What was once science fiction is now accessible to anyone with a browser.
The latest numbers show just how fast this is moving:
McKinsey’s State of AI 2024 report found that 65% of organizations have implemented generative AI in at least one function. That’s nearly double from the year before.
According to a 2025 World Economic Forum analysis, 92 million jobs globally are expected to be disrupted by AI and automation, but 97 million new roles will emerge, focused on creativity, empathy, and technical fluency.
The IMF projects that nearly 40% of global jobs will be affected by AI in some capacity. Yet the same report emphasizes that human capital investment, such as training, reskilling, and emotional intelligence, can offset much of that risk.
So while the tools are advancing faster than ever, the real opportunity isn’t technological. It’s human.

Why Companies Are Spending Billions and Still Falling Short
Across industries, companies are pouring billions into AI adoption, only to wonder why their employees aren’t using the tools. It’s not that people can’t learn. Nobody prepared them for how to adapt.
A 2024 Gartner study found that 95% of enterprise AI projects fail to meet ROI expectations, not because the tech failed, but because the culture wasn’t ready.
Here’s what many organizations miss:
They never assess whether their culture can absorb change.
They skip the step of addressing fear and resistance before deployment.
Leadership isn’t aligned with vision or ethics.
Teams lack psychological safety to experiment or fail.
There’s no roadmap for moving from fear to fluency.
Technology is never a barrier. People’s relationship to change is.
At NAZ Global, we developed a set of frameworks to guide organizations through AI transformation while honoring the human experience.

3 Frameworks That Build Trust and Adoption
1. The Cultural Readiness Matrix
The Problem: Companies deploy AI without understanding whether their culture can handle the shift.
The Solution: The Cultural Readiness Matrix evaluates four key dimensions before adoption: leadership alignment, psychological safety, change capacity, and ethical readiness.
This diagnostic approach ensures that technology serves people, not the other way around. When a culture is aligned and psychologically safe, AI becomes an enabler of growth rather than a trigger for fear.
A recent MIT Sloan study reinforced this, finding that companies with strong “learning cultures” saw four times higher AI adoption rates and three times faster ROI than those focused only on technical upgrades.
2. The Fear-to-Fluency Pathway™
The Problem: Employees aren’t afraid of AI; they’re afraid of being replaced by AI.
Fear creates paralysis. People resist change not because they don’t see the benefits, but because they don’t see their place in the new system.
The Solution: The Fear-to-Fluency Pathway is a structured process that guides teams through the emotional and cognitive stages of adoption —from resistance to curiosity, to cautious experimentation, and finally to confident fluency.
This method is rooted in behavioral psychology, drawing from Dr. Carol Dweck’s research on growth mindset and Dr. Amy Edmondson’s work on psychological safety. It turns fear into empowerment by normalizing uncertainty and rewarding experimentation.
When people feel safe to fail, they learn faster. When they learn faster, transformation sticks.
3. The Ethical AI Leadership Model
The Problem: Many leaders don’t know how to guide AI transformation ethically. They implement tools without addressing bias, privacy, or transparency, creating mistrust that slows adoption.
The Solution: The Ethical AI Leadership Model helps executives create governance systems that prioritize fairness, transparency, and accountability. This model integrates principles from the OECD and UNESCO AI ethics guidelines, adapted for real-world business use.
Ethics isn’t a checkbox; it’s a competitive advantage. Customers and employees alike gravitate toward organizations that make integrity visible.

Where Work Is Actually Headed
AI won’t replace every job. But it will change every job. Let’s take a practical look:
Likely to be Automated:
Data entry and transcription
Routine financial and legal analysis
Basic coding and administrative reporting
Help desk or chat-based customer service
Likely to be Augmented:
Teaching and education
Healthcare and wellness support
Design and creative industries
Management and strategic consulting
Growing in Value:
Skilled trades (electricians, builders, engineers)
Caregiving and social services
Leadership, facilitation, and coaching
These trends show one consistent truth: tasks that require heart, hands, and human judgment will hold their value and increase.
Thought Exercise: How Future-Ready Are You?
Take a moment to reflect:
Do you currently use AI tools like ChatGPT, Canva AI, or Notion AI?
A. Daily
B. Occasionally
C. Curious but not yet
D. Not at allHow do you feel when you hear “AI is changing work”?
A. Excited
B. Cautiously open
C. Unsure
D. AnxiousAre you learning new skills right now?
A. Yes
B. Planning to
C. Not yet
D. Not sure where to start
Mostly A’s: You’re leading the change. Keep learning and teaching others.
Mostly B’s: You’re aware. Focus on applying one new concept this month.
Mostly C’s: You’re observing from the sidelines. Pick one tool and explore.
Mostly D’s: Start small. Growth begins with awareness.
The Heart of the Matter: It’s About People, Not Platforms
AI won’t decide your future; you will. The organizations that thrive will be the ones that pair digital fluency with emotional intelligence.
In the 2025 Global Talent Trends Report by LinkedIn, the top in-demand skills aren’t technical. They’re human: adaptability, communication, creativity, and leadership.
So whether you’re in corporate or creative work, remember this:
You don’t need to outpace the algorithm. You need to out-human it.
Be the person who connects the dots others miss. The one who builds bridges across change. The one who turns fear into forward motion.
What You Can Do Right Now
If You’re in Corporate Leadership:
Conduct a cultural readiness assessment before buying another AI tool.
Train your managers to lead with empathy and ethical clarity.
Create internal forums for curiosity, spaces where people can test ideas safely.
If You’re a Creative or Consultant:
Use AI for research, not replacement. Let it support your thinking, not substitute your voice.
Position yourself as a translator between technology and humanity.
Build offerings that blend insight with emotional resonance. AI can’t replicate that.
For Everyone:
Spend one hour this week on learning about AI or about yourself.
Audit your habits: what can you delegate to tech, and what must stay human?
Anchor yourself in meaning. Technology changes fast, purpose grounds you.

Final Word: AI Won’t Replace You, But It Will Reveal You
This moment isn’t about survival; it’s about growth. The professionals who thrive in this new era will be those who lead with clarity, curiosity, and courage.
The future of work is not about choosing between people and technology. It’s about learning how to make both better together.
So take a breath. Stay curious. Keep learning. Your relevance is not in question—it’s in motion.
With love and abundance,
Najma Zanelli
Book A Private Call
Explore Offerings
Founder, NAZ Global Consultancy
Follow me on IG: @najma_zanelli
Email: [email protected]


Reply