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Will AI Take Our Jobs? What Skills Should We Focus on and Why?
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00:00Will AI take our jobs? What skills should you focus on today and why?
00:05There's a lot of talk about AI taking over our jobs, but how did we get to that conclusion?
00:11Is it even realistic? We can't just extrapolate today's AI advances and assume that AI will
00:17inevitably reach human-level intelligence. That's like saying, if you keep adding enough
00:23features to a car, eventually it'll be able to walk, run, climb like humans.
00:27But cars are not even close to human legs. And AI is not even close to the human brain.
00:35Let's start with the fundamentals to understand this. How is AI modeled today? AI, particularly
00:42deep learning, is loosely inspired by the human brain's structure. Neural networks mimic how
00:49neurons connect and how synapses fire. But there's a huge piece missing. AI does not capture the
00:57neurochemistry, the biological learning, or the adaptive processes of the brain. During my
01:03doctorate in artificial intelligence, I built models that simulate different aspects of human
01:09intelligence, computer vision, neural networks, and machine learning. Then and now, these models
01:18mimic the human brain structure, not the chemistry, because we don't fully know how to model behavior
01:24directly. That's why today's AI does not think, feel, or adapt like humans do. That's a fundamental
01:33limitation. Think of AI like a car that works great in a narrow environment. It's incredibly fast and
01:41efficient in structured environments like where there are roads. But take it off of the road and put it in
01:47a rocky environment. An hour ask it to climb a set of stairs and is completely useless. Humans, on the other
01:54hand, can do many more things like walk, run, climb, crawl, and adapt to most environments. But we extrapolate
02:03today's AI advances to predict that it will have human-like capabilities in a few years. While these predictions are
02:10often based on multiple factors like technology, scaling laws, emergent behavior, they're also hyped
02:18by the media. Again, a car is great, but you're unlikely to scale it with different features to make it
02:26perform like humans with legs and hands. AI differs from the human brain in fundamental ways. For example,
02:33we know that human brain does what it does with just 20 watts of power. That's less than the energy
02:40of a light bulb. While ChatGPT with its GPT-4 model consumes about 500,000 watts per instance. Or even a
02:52kid can see one elephant and recognize any elephant in any pose. While today's AI needs to be trained on
02:59thousands of elephant images. The point is that the way the AI is modeled today is different from how the
03:07human brain actually works. With that established, we can agree that AI thrives when given clear goals,
03:16data, and defined rules. But if you throw it into a messy, unpredictable situation, like one that has
03:24an ethical dilemma, an emotionally charged environment, or one that requires creative problem solving, then it
03:31struggles. Humans, on the other hand, rely on neurochemistry to adapt, feel, and reason intuitively.
03:39So, AI definitely lacks the neurochemical parts. These are tiny molecules in our brains that regulate
03:46emotion, motivation, and adaptability in ways that today's AI cannot replicate. A few of these chemicals are
03:55familiar to us, but there are hundreds of them. Imagine the complexity of the chemical environment
04:00in our brain, where so many interactions are happening. Here are some examples. Dopamine is a
04:07feel-good chemical that drives curiosity and motivation. AI doesn't crave learning or feel
04:13satisfaction from problem solving. Serotonin is a neurotransmitter that affects confidence, mood,
04:20and emotional intelligence. AI can analyze emotions, but it doesn't feel anything about them. Oxytocin is
04:28a trust hormone that helps human build relationships. AI can process words, but it doesn't actually care
04:36about people. Cortisol and adrenaline regulate stress and resilience. Humans get stronger through
04:43challenges. AI just follows instructions without personal growth. Without all these, AI is just
04:52math. Yes, it's powerful, but unlike humans, incapable of real emotional intelligence, compassion, or self-driven
04:59growth. So, if AI lacks these chemical-based human capabilities, humans still have a competitive advantage.
05:07We can focus on developing these biochemically driven skills. And AI and human cognition can complement
05:15each other instead of competing. Let's see what some of these are so we can develop them. This gives us
05:22hope. Hope to people who are not necessarily technical or need to know more about AI and how it works.
05:27There are some portions of these that can be done by AI, so I'm not able to generalize. But the point is to
05:36share some perspectives with some examples. Emotional intelligence and human-centric communication.
05:43AI can analyze text and speech, but it doesn't understand emotions. When humans communicate using
05:49words, we can change our tone, timing, and we can read between the lines. The human edge here is
05:56leadership, negotiation, coaching, sales, and therapy. Creativity and innovation.
06:04AI can remix existing ideas, but it doesn't have the aha moment. Creativity isn't just data. It's emotion,
06:14intuition, and unexpected connections, otherwise called serendipity. The human edge here is art, music,
06:23storytelling, design, and entrepreneurship. Adaptability and learning from failures. Humans just
06:32don't learn from data. We learn from struggles and experience. AI can optimize based on past patterns,
06:40but humans can reinvent themselves in the future. The human edge here is management, consulting,
06:48problem-solving, and entrepreneurship. Ethical and moral reasoning. AI follows rules. Humans interpret them.
06:57Ethical dilemma requires nuances and real-world decisions are often messy. The human edge here is law.
07:06I'm not talking about the paperwork part of it. Then politics and ethics.
07:12Physical and kinesthetic intelligence. AI can power robots, but it doesn't feel the weight of an object or
07:20intuitively understand and adjust to the world. Human motor skills are much more flexible than AI.
07:27The human edge here is surgery, though robots can help in the precision part, sports, and performing arts.
07:36Rather than fearing AI, think of it as a superpower assistant. It can handle repetitive tasks, analyze
07:43massive data sets, and free up time for us to create, connect, and innovate. But you, and only you,
07:51must take responsibility for your own growth. Your manager may be able to guide you. But then again,
07:58your manager may be a powerless cog in a large organizational machinery.
08:04We can take a lesson from Darwin's Origin of Species Evolutionary Theory.
08:08It's not the most intellectual of the species that survives. It's not the strongest that survives.
08:16But the species that's best able to adapt and adjust to the changing environment in which it finds itself
08:23are the ones that thrive. If you enjoyed watching this video, please like, share, and subscribe for more
08:30enterprise architecture and artificial intelligence perspectives. For a one-page visual of this and all
08:36future videos, please sign up on my website. Thank you for watching.
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