How To Find Your Next Book To Read?

Christmas is around the corner and it’s about time to create my 2026 reading list.

I used to rely on the “Customers who bought this also bought that” feature. While efficient, it has a significant downside: homogenization.

Algorithms tend to feed us more of what we already know. If we all rely on the same suggestion engine, we end up reading the same books and thinking the same thoughts.

That’s not discovery; that’s reinforcement.

To find truly fresh ideas, I go offline. Before I download anything to my Kindle, I tour physical bookstores – specifically the Translated Books section.

The Logic:

If a local publisher is willing to acquire rights, pay for translation, and print physical copies, that book has passed a rigorous vetting process. It implies the content is valuable enough to justify significant financial risk outside its home market.

I browse the shelves to find these gems, then head home and buy the original English versions for my eReader.

It’s a powerful strategy that hasn’t failed me yet. How do you prepare your reading list?

ReadingList #BookLovers #Kindle #ContinuousLearning

The City Never Stays Still

They say Hong Kong people walk fast, talk fast, and act fast. We’ve all seen the taxi drivers with a dashboard full of mobile phones, juggling orders in real-time. To the untrained eye, this intensity can sometimes be mistaken for impatience, mindlessness, or even rudeness.

But if you look closer, you’ll see something different.

You see a city running on an incredibly efficient engine. That rapid pace isn’t about rushing; it’s about a collective drive not to waste a single second. It is a refusal to miss a beat or forego an opportunity.

To me, this is the true spirit of Hong Kong, Asia’s World City: The ability to mobilize, adapt, and get the job done – in no time at all.

Here’s to the efficiency that keeps this city moving forward. 🥂

#HongKong #Efficiency #CityLife

AI Is Our Amplified Intelligence

In today’s fast-paced world, the conversation around artificial intelligence often centers on the idea of displacement. However, that perspective misses a crucial point. AI isn’t here to replace us; it’s here to amplify us.

Think of it as a powerful new tool in our toolbox. Just as the invention of the calculator allowed us to perform complex math faster and more accurately, AI tools enable us to be more productive, creative, and strategic. They can handle the repetitive, data-heavy tasks, freeing up our time and energy to focus on what humans do best: critical thinking, innovation, and building relationships.

The real key to success in this new era isn’t a battle of human versus machine. Instead, it’s about learning how to work with AI. We must all become proficient in understanding its capabilities and limitations, discerning when and how to use it, and knowing how to evaluate the quality of its output. The ability to use AI as a partner will be a fundamental skill, one that empowers us to do our jobs faster, smarter, and better than ever before.

AI is our 🌟Amplified Intelligence 🌟

What are your thoughts? How have you seen AI amplify human potential in your field?

Knowing What To Learn

In today’s fast-paced world, continuous learning is essential. I’ve shared my views of “Just-in-time” learning (getting information exactly when you need it) and “Micro-learning” (short, digestible bursts of content) previously. Both are powerful, optimizing efficiency and retention by delivering targeted information in manageable formats.

However, in a world overflowing with information, the biggest challenge isn’t accessing knowledge, but about which knowledge is most valuable. This is where the “Learning Landscape” comes into play – being strategic and intentional about your learning journey. Simply reacting to immediate needs or consuming bite-sized content without a broader strategy can lead to fragmented knowledge and missed opportunities.

Why is knowing what to learn so important?

✅ Strategic Growth: It aligns your learning with long-term career goals.
✅ Relevance: It helps you focus on in-demand skills.
✅ Efficiency: It prevents wasted time on irrelevant learning.
✅ Adaptability: It equips you to anticipate future trends.

Tips for deciding what to learn:

1️⃣ Self-Assessment & Reflection: Understand your strengths, weaknesses, interests, and career aspirations. Where do you want to be in 1, 3, or 5 years?
2️⃣ Market Research & Trend Analysis: Analyze job descriptions, follow industry thought leaders, read reports, and network. What skills are consistently in demand or emerging?
3️⃣ Gap Analysis: Compare your current skills with those needed for your desired future. Prioritize learning to bridge these gaps.
4️⃣ Experiment and Iterate: Don’t be afraid to explore new areas briefly to see if they fit. Re-evaluate your learning path regularly.
Tools to Help You Decide What to Learn:
5️⃣ Skills Gap Analysis Tools: Platforms like LinkedIn Learning, Coursera, and edX can identify skill gaps.
6️⃣ Career Roadmapping Tools: Some services help visualize career paths and necessary skills.
7️⃣ Online Course Catalogs: Browse popular courses to see trending skills.
8️⃣ Industry Publications & Forums: Stay updated on discussions from professionals in your field.
9️⃣ Mentors and Coaches: Their experience provides invaluable guidance.

The modern learning landscape is dynamic. By combining just-in-time and microlearning with a deliberate approach to identifying what to learn, we can ensure our growth is truly transformative.

What’s your take?

Unlock Your Micro-Learning Superpower for the AI Era

A month ago, I discussed Just-in-Time learning in our AI-driven world. Now, let’s talk about the superpower you need to truly thrive!

The pace of AI innovation is dizzying. With new breakthroughs daily, the gap between innovation and understanding is widening, leaving many overwhelmed. How do we keep up?

The answer is Micro-Learning.

Instead of trying to absorb massive amounts of information, leverage those fleeting moments throughout your day:

1️⃣ 5-minute coffee break? Watch a short explainer video on a new AI concept.

2️⃣ Waiting for a meeting? Read a quick article on the latest industry trends.

3️⃣ Commuting? Listen to a podcast segment on AI’s ethical implications.

These aren’t just “extra” moments; they’re opportunities for continuous, bite-sized learning. The power lies in how you learn. By integrating small, consistent learning moments, you can:

✅ Stay agile and adaptable: Keep pace without feeling overwhelmed.

✅ Build knowledge incrementally: Small pieces add up to comprehensive understanding.

✅ Reduce cognitive overload: Focus on one concept at a time for effective learning.

Our ability to continuously learn and evolve is key to thriving in the AI era. Let’s embrace micro-learning!

What are your favorite ways to sneak in micro-learning moments? Share your tips below!