Fortunes are made in down markets and collected in up markets, here is how to manage risk

Markets at all time HIGHs, most people: I want to BUY stocks. 

Markets are crashing: I want to SELL. 

However, as you know, the right answer is counterintuitive. It pays handsomely to be a net buyer in crashing markets and a net seller in frothy market bubbles. 

The principle applies to careers as well.

Most people: I want a safe job. 

Less than 5% of people: I want to work on risky projects even though I might make mistakes and there is a high chance of failure. 

The risk of making mistakes is considered bad. But that’s where learning happens. That is where growth happens. Always be in Day 1 mode.

Not taking risks, not learning, and not growing are the biggest risks to your career because these lead to stagnancy aka Day 2 problem.

As Bezos said in his 2016 shareholder letter “Day 2 is stasis. Followed by irrelevance. Followed by excruciating, painful decline. Followed by death. And that is why it is always Day 1.”

What are your thoughts about taking risks in your career?

#growth #learning #careeradvice #leadership

Related Posts

AWS re:Invent 2024: Revolutionizing Enterprise AI

Lessons in Customer Experience from Singapore’s Bacha Coffee: What the World Should Learn

At Bacha Coffee in Singapore, luxury meets exceptional customer experience. Through storytelling, personalization, and stunning visuals, they create memorable moments that any brand can learn from. Discover how thoughtful CX can elevate your customer journey.

The ChatGPT Moment for Online Shopping Has Arrived: Meet Perplexity Shopping

The Rise of AI Automation: Why RPA Companies Face a Disruptive Crossroads

Generative AI is reshaping the landscape of automation, taking over where traditional RPA falls short. Unlike RPA's scripted bots, AI-powered intelligent automation is adaptable, cost-effective, and capable of handling complex workflows end-to-end. As RPA companies face disruption, the choice is clear: evolve into AI-driven automation or risk becoming obsolete.

AI: Not Programmed, But Grown – Exploring the Evolution of Artificial Intelligence

Building AI is less about coding and more like cultivating a living system. Researchers find parallels between AI networks and biological brains, suggesting AI evolves, echoing nature's deepest patterns.

The Power of Distribution: Why It Outweighs Product Quality

In business, effective distribution often trumps product quality. Microsoft Teams exemplifies this, surpassing Slack by leveraging its Office 365 integration. The lesson is clear: distribution beats product. Startups must prioritize how to get their products into the hands of users, as a "good" product with strong distribution can outshine a "great" but inaccessible product.
Scroll to Top