Wisdom Over "AI-ge": The Role of Humans in the Age of Super Algorithms

Wisdom Over "AI-ge": The Role of Humans in the Age of Super Algorithms

As artificial intelligence continues its rapid evolution towards a level of General Intelligence in Agents, one big question looms large: will these AI agents ever be wiser than humans? Sure, AI can analyze data at incredible speeds, identify patterns we’d miss, and even apply insights with surgical precision. But does that make it wise? And if wisdom is no longer tied to age or human experience, where does that leave us?

In this post, we are joined by Cam L. to explore whether businesses and societies will wise up to being wise, how these systems of super AI algorithms might reshape the role of wisdom, and whether human knowledge workers risk becoming relics of the past. And to help us tackle this, we’ve brought in Cam, an experienced technologist, to share his perspective.


Technologist’s Take

Hi, I’m Cam. Over the last decade, I’ve worked in the AI and Automation tech space, watching AI go from being the stuff of sci-fi movies to tools we use daily without a second thought. I’ve seen the hype, the fear, and the reality – and while I’m deeply excited about the possibilities of AI, I’m also cautious about its potential to replace some of the uniquely human things we hold dear, like creativity, intuition, and yes, wisdom.

Wisdom is important to me because it’s the bridge between knowledge and action. It’s not just about knowing what to do but understanding why it matters and considering its broader impact. In a world increasingly driven by data, wisdom reminds us of the value of empathy, ethics, and long-term thinking – qualities that can guide both people and technology toward better outcomes and essentially makes us better colleagues, friends, people, and ultimately society.

AI is incredible at scaling knowledge. It can crunch more data in a second than we could process in a lifetime. But wisdom? That’s a different beast. Wisdom is about applying lessons learned, understanding nuance, and seeing not just what’s possible, but what’s right.

So, the question isn’t whether AI will replace us – it’s whether we’ll adapt fast enough to ensure it enhances us and our society instead of rendering us obsolete.


What Makes Wisdom, Wisdom?

To understand whether AI can become wise, let’s first define what wisdom is. Wisdom isn’t just about knowing stuff – that’s knowledge. Nor is it simply about solving problems – that’s intelligence. Wisdom is something deeper:

  • Experience: The accumulation of lessons learned over time.
  • Judgment: The ability to navigate trade-offs and make sound decisions in ambiguous situations.
  • Empathy: Understanding the human impact of those decisions.

In other words, wisdom isn’t just a function of data or computation – it’s tied to context, values, and the messy, emotional complexity of being human.

So, can AI learn from stories and experiences at scale? Yes. Can it simulate judgment and empathy? Maybe. But is that true wisdom?


The Case for AI as the Next Sage

AI’s strengths in processing, learning, and adapting mean it already plays a role in what we’d call “wise” decisions:

  • Pattern Recognition at Scale: AI can analyze massive datasets and uncover patterns that would take humans decades to spot.
  • Instantaneous Lessons Learned: While humans need years of experience to accumulate wisdom, AI can ingest and apply the lessons of millions of case studies in seconds.
  • Bias Detection and Objectivity: Unlike humans, who carry cognitive biases, AI can be programmed to spot them – or even counteract them.

If wisdom is about applying experience proactively, AI’s ability to synthesize knowledge across domains and apply it to new challenges is impressive. For example:

  • Medical AI Systems: Using decades of patient data to recommend treatments that even the best doctors might overlook.
  • Business Strategy Algorithms: Simulating countless market scenarios to find the optimal path forward.

But there’s a catch: AI might be able to make “wise” decisions, but it lacks the why. Its judgment comes from human inputs – the data it’s trained on, the parameters we set, and the goals we define. It’s not truly autonomous wisdom; it’s borrowed.


The Limitations of AI Wisdom

1. Lack of Values and Ethics

Wisdom often requires considering the human impact of decisions – not just what’s effective, but what’s ethical. AI might recommend laying off 90% of a company’s workforce to boost profitability, but would a wise leader make that choice?

2. No Emotional Intelligence

Wisdom isn’t just about making the “right” decision on paper – it’s about understanding how that decision will feel to the people involved. AI doesn’t experience regret, empathy, or joy, and those emotional dimensions are central to human wisdom.

3. Dependence on Human Inputs

AI is only as good as the data it’s trained on. If that data contains human biases, flawed logic, or incomplete perspectives, the AI’s "wisdom" will inevitably reflect those same shortcomings. But what about the knowledge that isn’t codified—the case studies we only hear about in casual conversations, the lessons shared around the water-cooler, or the ancient stories of climate change, floods, and even interstellar threats passed down around a campfire?

I’ve heard it said "AI is like the smartest intern you’ve ever hired. It’s brilliant at gathering insights, but fails without an experienced mentor to guide it."


Will Businesses Wise Up to Being Wise?

One of the most exciting (and concerning) shifts AI brings is the possibility of "dinosaur companies" – those massive, slow-moving organisations – evolving or becoming extinct.

In the future, the wisest companies might not be the oldest or biggest. They’ll be the ones that:

  • Learn Quickly: Embracing the speed and scale of AI to adapt faster than competitors.
  • Stay Human-Centric: Balancing AI-driven insights with a deep understanding of human needs and values.
  • Invest in Ethical AI: Ensuring their algorithms aren’t just smart, but aligned with long-term societal good.

Surprisingly there are companies leaning into this today, let’s quickly take a look at Porsche’s decision to scale back its EV production reflects a nuanced approach to staying human-centric and investing in long-term sustainability. Rather than blindly chasing EV trends and overproducing, Porsche carefully analysed market demand, supply chain constraints, and environmental considerations to make a more thoughtful, measured approach. This decision highlights the importance of balancing ambition with realism and foresight - wisdom.

But there’s also the risk of wisdom becoming a commodity, owned only by those with the resources to maintain super-algorithms. In that world, will "human wisdom" matter at all?


Where Does That Leave Us?

From my perspective, the key to staying relevant in the "AI-ge" is remembering what makes us uniquely human. Wisdom isn’t just about knowledge – it’s about application. It’s about storytelling, empathy, and the ability to connect the dots in ways that machines can’t.

That said, we can’t afford to sit back and hope for the best. The pace of AI development means we need to:

  1. Nurture Creativity and Emotional Intelligence: Focus on what makes us uniquely human—our ability to imagine, empathise, and connect. These skills will always complement what machines can do, not compete with them.
  2. Stay Grounded in Purpose: Remember why we do anything—whether it’s for society, family, or leaving a legacy. Let these motivations guide how we use technology and shape the future.
  3. Adapt and Learn Continuously: Embrace lifelong learning to stay ahead of technological shifts. Understanding AI and other emerging tools ensures we work with them effectively, not against them.
  4. Lead with Ethics and Humanity: Advocate for fair, inclusive, and sustainable uses of technology. Ethical leadership ensures that AI serves humanity’s long-term goals, not just short-term gains. 

By focusing on these core principles, humans can thrive in partnership with technology while shaping a meaningful future, and one thing I know for sure: we aren’t facing Skynet or the Matrix (yet). But being ready means understanding both the power and the limitations of AI – and knowing when to lean into its strengths versus our own.


The Future of Wisdom: Humans, Machines, or Both?

So, will AI ever be wiser than humans? Maybe.

But wisdom isn’t just about being right – it’s about knowing what’s right for us. AI might help us make better decisions, faster. It might even challenge our understanding of what wisdom means. But it will always need humans to define its purpose, guide its actions, and hold it accountable.

In the words of Carl Sagan: "We are a way for the cosmos to know itself." If wisdom is about making sense of the universe, we may find that our greatest wisdom lies in teaching AI to help us do it together.


Over to You…

What do you think? Will AI surpass humans in wisdom? How can we prepare for a future where machines make decisions alongside us? Share your thoughts – we’d love to hear them!


Author



Daidree Tofano PCC

Director @ Genomics England | Grow sustainably, adapt and innovate for the win

2w

Hi Cam Lau !!

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