Business and Money Tips

The Power of Your Mind — As Explained by Yijing In today’s AI-driven world, we are told that intelligence is everything. But what if your greatest power lies not in what you know, but in how you use your mind? Ancient wisdom from the Yijing (I Ching) — the Book of Changes — shows us that true power does not come from force or intellect alone. It comes from alignment, flow, and conscious choice. And that starts with the mind. Let’s explore this through three practical lenses drawn from the Yijing and reinforced by powerful mental mastery principles. 1. You Are Not Your Mind The mind is a powerful tool, but a poor master. When left unchecked, your mind: Thinks non-stop, often looping the same thoughts. Obsesses over the past or worries about the future, rarely staying in the present moment. Generates 70% negative thoughts on average. Yijing teaches us through its ever-changing hexagrams that nothing is fixed. If your mind is stuck in judgment, comparison, or drama, you are no longer flow...

How to Think Better in the AI Age (Without Becoming Dependent on AI) In the AI age, thinking better is not about becoming smarter. It is about becoming less lazy with your mind . AI will happily think for you. Your job is to ensure it doesn’t replace you. Here are easy but effective ways any ordinary person can improve thinking—no jargon, no PhD required. 1. Delay the Answer (Don’t Ask AI First) The biggest damage AI causes is answer addiction . Before asking AI anything, pause for 60 seconds and ask yourself: What do I already know? What don’t I know? What assumptions am I making? This short delay activates your own thinking muscles. Rule: If you ask AI immediately, you outsource thinking. If you think first, you use AI properly. 2. Turn Answers into Questions When AI gives you an answer, don’t accept it. Instead, ask: What is missing? What would make this wrong? In what situation would this fail? Who would disagree with this? Good think...

AI can now do almost everything. So what actually matters? Not the tools. Not the features. Not learning the “next” AI platform. What matters is: – asking the right questions – thinking clearly – having direction – knowing what to solve and why That’s why the real advantage today is thinking. AI is brilliant at execution. Humans must be brilliant at sense-making. The mistake many people make is this: They keep chasing new AI tools, hoping tools will give them an edge. But tools don’t create advantage. Thinking does. The correct approach in the AI era is: – improve your thinking – frame better problems – imagine new possibilities – design solutions – then use AI to execute at scale AI should be used as an amplifier, not a crutch. Instead of asking: “What new AI tool should I learn?” The better question is: “How do I think better, so any AI tool becomes powerful in my hands?” That is the shift. And those who make it will not be replaced by AI — they will lead with it.

In the Age of AI, Trust Becomes the Real Currency As Sam Altman pointed out, AI creates so much information that everyone suddenly looks like an expert. With one prompt, anyone can generate answers, strategies, and even insights that once took years to acquire. This creates a deeper problem. It is no longer about whether information is available. It is about whether we can trust the information, and more importantly, the person behind it. If we look at human evolution, we started from almost no information. Knowledge was scarce. Trust was simple. Whoever provided information was usually an expert. Over time, we moved into the information age, and now we are in the over-information age. Today, information is cheap. Expertise is diluted. AI makes everyone sound right. So what can we still trust? The answer is no longer information. The answer is people. Can this person do what they say? Have they done it before? Do their actions match their words? This is where older people gain a natura...

Let me ask you a dangerous question. In the age of AI, when everyone sounds like an expert, who do you actually trust? Today, with one prompt, anyone can sound intelligent. Anyone can create slides, frameworks, even speeches. AI has not just created more information. It has created a crisis of trust. If you look at human evolution, we started with very little information. Back then, trust was simple. Whoever had information was an expert. We listened because we had no choice. Today, we have gone from no information to over-information. AI gives everyone answers instantly. Everyone looks confident. Everyone looks right. So the question is no longer, who has the best information? The question is, can this person actually do what they say? As speakers and trainers, this hits us directly. Our audience is no longer impressed by knowledge. They are quietly asking one thing. Can I trust you? This is where Yijing gives us a powerful insight. Yijing teaches that in times of great change, virtue...

You’re absolutely right. Dealing with change is the core purpose of knowing Yijing. In fact, 易 (Yi) means change, and 经 (Jing) means a system or constant. Yijing teaches us how to remain grounded while everything else shifts. Here is how Yijing helps us cope with three of the biggest changes of our time: AI technology, economic shifts, and changing human values and preferences, using the 6 foundations of Yijing:  How Yijing Helps Us Navigate Change in the Modern World 1. Oneness: Seeing the Whole, Not Just the Parts Yijing begins with Oneness. AI, the economy, and human values are not separate problems. They are expressions of the same larger movement of civilisation. Most people panic because they look at change in isolation. They see AI as a threat, the economy as unstable, and people as unpredictable. Yijing trains us to see the whole system. When technology changes, work changes.  When work changes, values change.  When values change, business models change. Once you ...

What Most People Don’t Realise About Decoding the Wealth Codes with Yijing Most books on wealth talk about tactics. This book quietly does something far more powerful. It rewires how people think about wealth, timing, and decision-making. Here are the non-obvious strengths readers usually miss at first glance. 1. It Redefines Wealth in a Way that Few Realize Most readers think wealth equals money. This book reframes wealth into 12 interdependent forms:  Physical Mental Spiritual Time Family Environment Financial Career Social Growth Contribution Enjoyment This book gives readers a human operating system, not a financial hack. That alone separates it from 99% of wealth books. 2. It Teaches When, Not Just What to Do One of the most underestimated lines in the book is this idea: The question is not how to do, but when. AI excels at “how”. Yijing excels at timing, readiness, and sequence. This book trains readers to: sense whether action is premature, aligned, or destructive recognise ...

In this AI era, the answer is no longer of value . because answer are everywhere. AI can answer almost any question you ask. Fast. Clearly. Convincingly. And that is exactly why answers are no longer the source of human value . The real shift is this: 👉 The ability to ask questions is the ability to think. When you begin using AI seriously, something subtle happens. If you let AI run around for you— writing, summarising, generating— your brain goes quiet. But when you start to move AI left and right , challenge it, constrain it, redirect it, you are forced to think. You begin to ask: “Why this angle?” “What assumption is hidden here?” “What if the opposite is true?” “What am I really trying to solve?” At that moment, something evolves. Not the AI. You. Your model-building ability improves. Your judgment sharpens . Your sense of direction becomes clearer. You are no longer consuming answers. You are shaping the thinking process . And slowly, some...

  When AI became a popular plaything, something interesting happened. People started to panic. They worried about being eliminated by AI. So many were forced to learn how to use it. Humans upgraded their skills. AI upgraded its capabilities. Both sides were racing— hoping not to be replaced. But Sam Altman said something that completely changed the way I see this fear. He said: We don’t need to fear being surpassed by AI. What we should fear is losing our curiosity. But this curiosity is often misunderstood. It’s not about liking new gadgets. It’s not about chasing the latest technology. It’s not about trying every new AI tool. Real curiosity is this: Are you still the one who decides what the problem is? Before AI existed, human value was very clear. If you knew the answer, you had value. If you didn’t, you didn’t. Knowledge was power. Answers were currency. We were always in a hurry—to know more, faster. But AI broke that definition. Today, one question doesn’t have one answer. I...

AI has grown up. It can already create infinite content. Text. Videos. Images. Ideas. But no matter how powerful AI becomes, there is one thing it cannot create. That one thing is credibility. The future does not belong to people who can create more. It belongs to people who are more credible. Let me explain. Imagine two people online talking about the same topic. Both are around the same age. Both have worked for about 10 years—roughly half their adult lives. Person A is a movie star. Very famous. Very expressive. Talks confidently, maybe even dramatically. But he has no real background in the field. Person B has worked in the technology industry for many years. He studies, experiments, applies research, and shares what he has personally learned. They say the same sentence. Instinctively, you trust B more. Why? This is the key insight. In the AI era, content itself becomes cheap. When AI can generate infinite content, content quickly turns into ancient history. So why did you believe ...

Just as social platforms like Instagram lowered the barrier to visibility, allowing almost anyone to broadcast their life, AI lowers the barrier to reflection, learning, and creation.  What used to belong to philosophers, scholars, or elites now belongs to anyone willing to engage in conversation. Five hundred years ago, a private island meant land, wealth, and power. something only emperors or empires could afford. Today, a person with AI has: a private thinking space a tireless dialogue partner real-time feedback a sandbox for ideas, identity, and meaning Not isolation—but sovereignty of thought. This is why many people feel unexpectedly supported when they think with AI.  Not because AI replaces humans, but because AI creates a safe conversational field, a place to test ideas without judgment, to explore half-formed thoughts, to rehearse decisions before acting in the world. That is new in human history. Why this is the second democratic revolution The first democratic revo...

The great inversion of the AI era In past eras: Skills were scarce Knowledge was power Technical mastery created advantage In the AI era: Technology accumulates Capabilities become cheap Execution is automated Answers are abundant This is why Altman’s view feels counter-intuitive but accurate: the most valuable things are no longer technical abilities. What AI makes cheap (and therefore replaceable) AI ill outperform humans at: Pattern recognition at scale Generating text, code, images, plans Optimizing known processes Reproducing best practices Imitating expertise So who gets eliminated? People who wait to be told what to do People whose value is “I know how to do X” People who follow playbooks without questioning them People who outsource judgment to systems These roles don’t disappear overnight—but they quietly lose leverage. What AI cannot fully replace Altman keeps circling back to three human capacities. Not because AI lacks intelligence—but because these sit above intelligence. ...

Most people spend their lives training to win at standardised work. Clear rules. Known answers. Measurable benchmarks. That is exactly the kind of work AI devalues first. What remains valuable now is work that is: – messy – human – ambiguous – dependent on trust – shaped by judgment, intuition, and meaning Grades matter less. IQ matters less. Pure intelligence is becoming cheap. AI is the engine. Humans must provide the direction. The winners won’t be the smartest. They will be the ones who can: • define the right problem • ask better questions • architect systems • lead humans and machines together When intelligence becomes cheap, thinking is no longer the advantage. Meaning is the advantage. Direction is the advantage. Leadership is the advantage. That’s why Love Intelligence (LQ) matters. LQ gives us meaning when answers multiply. Direction when options explode. Leadership when expertise alone is no longer enough. With LQ, you don’t compete with AI — you lead it. And that’s why, in ...

Most people spend their entire lives training to win at standardised work. Clear rules.  Known answers.  Predictable outcomes.  Measurable benchmarks. Ironically, that is exactly the category of work AI devalues the fastest. AI is exceptionally good at: structured tasks known problems repeatable analysis standardised outputs The work that remains valuable today is the opposite. It is: not fully knowable in advance messy and ambiguous political and human dependent on trust and judgment shaped by intuition and creativity built on meaning, not just answers That is the new frontier of value. As this shift accelerates, several uncomfortable truths emerge. Grades matter less. IQ benchmarks matter less. Pure technical mastery has a shorter shelf life. What matters more is: tool literacy human judgment sense-making ethical discernment the ability to work with uncertainty AI becomes the engine. Humans become the direction. The winners will not be the smartest people in the room. T...