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Why Human Skills Matter More in the Age of AI [Newsletter #87]

From Hard Skills to Human Skills

Hello, AI enthusiasts from around the world.

Welcome to this week's newsletter for the AI and the Future of Work podcast.

Chances are, you’ve had a conversation with someone who feels uncertain about AI’s impact. Maybe even discouraged.

“AI is already coming for our jobs. So what’s the point?”

It’s an understandable reaction. AI is moving faster than most of us expected, and change at this scale can feel overwhelming. But what if that mindset misses the bigger picture?

This week’s conversation challenges a common assumption with the claim that
AI isn’t coming for your job. It’s coming for the parts of your job that drain your time and energy.

The real question isn’t whether AI will reshape work. It’s whether we’ll choose to reshape ourselves to work alongside it.

Let’s dive into this week’s highlights! 🚀

🎙️ New podcast episode with Andrea Iorio, keynote speaker and author

“I’m done. I might as well start over, from scratch.”

You’ve probably heard something like this before. The AI revolution doesn’t inspire everyone. For some, it creates doubt. Even fear. Andrea Iorio sees this reaction often.

There’s no question AI is destabilizing. Roles are shifting. Expectations are changing. The pace feels relentless. But is the fear justified?

Andrea doesn’t deny AI’s power. He’s clear about one thing: AI is here to stay. Yet he believes our job fears are misplaced

AI isn’t coming for our jobs. It’s coming for our tasks. And in his view, that’s good news.

Andrea is one of Brazil’s most in-demand keynote speakers on Digital Transformation, Innovation, and Leadership. More than 50,000 people have attended his talks, and his podcasts have surpassed 300,000 downloads.

He previously led Tinder across Latin America and served as Chief Digital Officer at L’Oréal Brazil. He’s also the author of multiple bestselling books, including his latest, Between You and AI, a guide to building the skills needed to stay relevant in the age of AI.

Andrea sat down with PeopleReign CEO Dan Turchin to explore what happens when AI takes over repetitive work, from data-heavy analysis to memory-based tasks, because it can solve them better than any human.

That shift gives us space to focus on what humans do best: strategy, foresight, creativity, and complex problem-solving.

But there’s a catch. AI creates opportunity. We have to choose to seize it.

Andrea argues that the future belongs to those who double down on their irreplaceable human skills and take ownership of their growth in an AI-powered world.

This week’s conversation explores these ideas and more:

  • Soft skills are harder to train and master. As AI becomes more capable, their value only increases.

  • Anyone can learn to use AI tools. Not everyone develops the judgment to use them well.

  • Andrea outlines nine new skills, grouped into Three Pillars of Transformation essential for professionals and leaders: cognitive, behavioral, and emotional.

  • Why asking better questions matters more than producing answers, and how prompting extends beyond AI inputs into everyday leadership and decision making.

  • Organizations that adopt models built for exponential change will outperform those clinging to rigid, linear structures.

🎧 This week's episode of AI and the Future of Work, featuring Andrea Iorio, author and keynote speaker, is now available.

Tune in to hear Andrea explain a simple but powerful idea: if your job is repetitive and data-driven, maybe it’s time to let a machine handle it. That’s not the end of your role; it might be the beginning of something more meaningful.

📖 AI Fun Fact Article

We often perceive scientific research as a delicate balance between hard and soft sciences. But in reality, many other human factors shape science today: economic value, political priorities, career prospects, cultural trends, and a wide range of biases and beliefs.

So what happens if we take all of that away?

In Aeon, Brandon Boesch explores this question and offers a fascinating perspective. The days of humans leading scientific processes may be numbered. If AI eventually takes over the practice of science, the results could be strange and even incomprehensible to us.

AI’s computational capacity for data processing, model-building, scientific reasoning, and theorizing may far surpass our own, potentially making humans unnecessary in certain scientific roles.

But there’s an unexpected twist: AI could take our theories to places we never imagined.

A recent survey of AI researchers estimated a 50% chance that, within a century, AI could replace humans in every job. Science is no exception. At the same time, AI might pursue scientific questions that humans lack the incentives or motivation to explore, opening entirely new avenues of discovery.

It may even generate knowledge about the world that exceeds what our brains are capable of fully understanding.

Source: aeon

PeopleReign CEO Dan Turchin reminds us not to aspire to outsource science to machines. We must not expect machines to determine which questions to ask or what to do with the answers.

He prefers to build toward a future where AI provides the computational resources required to answer questions humans alone cannot. These include the origins of life, why some cells turn against us as cancer, and what we can do to preserve conditions on Earth and other planets to sustain humanity for the next 10,000-plus years.

Our biggest ideas are no longer the stuff of science fiction. Our biggest questions must begin with problems worth solving, problems that truly matter to humans.

Machines only know what we teach them.

Now is the time to be inspired by anything you once thought limited your capacity to experience joy.

Listener Spotlight

Tomás is a web developer from Chile, and his favorite episode takes us back to #118 with Tim Guleri, Managing Director at Sierra Ventures, on what he’s looking to fund in AI, and what most entrepreneurs get wrong.

🎧 You can listen to that excellent episode here!

As always, we love hearing from you. Want to be featured in an upcoming episode or newsletter? Comment and tell us how you listen and which episode has stayed with you the most.

📣 Share your Thoughts and Leave a Review!

We'd love to hear from you. Your feedback helps us improve and ensures we continue bringing valuable insights to our podcast community. 👇

🏅 Celebrating a Top 20 AI Podcast Recognition

We’re excited to share that AI and The Future of Work has been recognized as one of the 20 Best Podcasts for AI by Interview Valet.

This recognition means a lot to us, reflecting the passion, curiosity, and expertise of our guests, our team, and everyone who tunes in to explore how AI is transforming the world of work.

Thank you, Interview Valet, for including us in this curated list of standout shows shaping the conversation around artificial intelligence and its impact today.

Worth A Read

The promise often associated with AI is simple: we’ll have more time to focus on what really matters. It will also reduce the burden of repetitive, routine work. That’s why many companies are eager to get more employees on the AI train.

From the outside, the promise makes perfect sense. However, as Aruna Ranganathan and Xingqi Maggie Ye write in the Harvard Business Review, it might backfire.

We'd love to hear your thoughts on this new artist–send us your comments!

Illustration by Eynon Jones

Both authors pose an intriguing question: what happens when AI succeeds in giving us more time? It could lead to more work. And the gains might come at too high a cost.

In-progress research suggests that AI tools did not reduce work. They consistently intensified it.

In an eight-month study of how generative AI changed work habits at a U.S.-based technology company with about 200 employees, workers completed tasks faster, took on a broader range of responsibilities, and worked longer hours—often without being asked.

The outcome isn’t necessarily unhappy employees. Instead, the results show a complex mix of possibility, access, and reward. You can learn more about this case here.

Until next time, stay curious! 🤔

We want to keep you informed about the latest developments in AI. Here are a few stories from around the world worth reading:

  • AI should not be your medical advisor. The BBC breaks down why.

  • Governments, both local and national, are beginning to use AI to help draft legislation. This article looks at what could go wrong.

One CEO and founder took Sam Altman’s challenging words as a call to action and is working to close the $1.6 trillion AI gender wage gap.

That's a Wrap for This Week!

Your skills shape who you are professionally. For years, we were told that hard skills mattered most.In the era of AI, that equation is shifting.

What stands out now are the qualities that make us human. Judgment. Empathy. Trust. Being worthy of trust. And perhaps most important of all, knowing what to ask next.

For some, AI still feels daunting. Even discouraging.

This week’s conversation invites those listeners to pause, reflect on the work they’re doing today, and consider what needs to evolve for the future.