Timeless Wisdom from Warren Buffett and Charlie Munger

I recently came across a Twitter handle and found these videos featuring Warren Buffett and Charlie Munger.

Pure gold. Essential listening.

https://x.com/i/status/2012503133315068277
https://x.com/i/status/2012113355738411215

My Plan for 2026

2026 Plan

As my New year resolution, I plan to focus on reading, certifications and Developing AI agentic app in year 2026. 

Reading List (Finish 10 from this list below)

I. Mental models and decision discipline; reset cognition

1. The Great Mental Models; Shane Parrish

2. Thinking in Bets; Annie Duke

3. Everything Is Obvious; Duncan J. Watts

II. Economics, incentives, and money behavior

4. The Psychology of Money; Morgan Housel

5. Prediction Machines; Ajay Agrawal

6. Power and Prediction; Ajay Agrawal

III. AI macro forces and geopolitics

7. AI Superpowers; Kai-Fu Lee

8. The Coming Wave; Mustafa Suleyman

IV. AI inside the enterprise; work re-architecture

9. Human + Machine; Paul Daugherty

10. Co-Intelligence; Ethan Mollick

11. Agentic Artificial Intelligence; Pascal Bornet

V. Strategy, disruption, and platforms

12. The Innovator’s Dilemma; Clayton M. Christensen

13. Competing in the Age of AI; Marco Iansiti

14. Platform Revolution; Sangeet Paul Choudary

VI. Building and scaling organizations

15. Innovation and Entrepreneurship; Peter F. Drucker

16. Built to Last; Jim Collins, Jerry I. Porras

17. Zero to Scale; Arindam Paul

VII. Execution, leadership, and culture

18. Measure What Matters; John Doerr

19. A Sense of Urgency; John P. Kotter

20. Trillion Dollar Coach; Eric Schmidt

21. Eleven Rings; Phil Jackson

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Certifications

• Complete three certifications; to be finalized.

Courses

• Complete one Agentic AI course; to be finalized.

Reshuffle : Who Wins when AI Restacks the Knowledge Economy

Finally finished reading the book Reshuffle by Sangeet Paul Chowdary. My summary points below.

The book talks about how AI reshapes power not by replacing workers, but by reorganizing coordination and the advantage goes to those who redesign systems, not those who deploy tools.

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Summary of my notes: AI's biggest impact isn't about making things smarter or replacing jobs. It's about coordination, how work gets organized, how decisions flow and who controls the system. The winners are the ones who redesign how things work, not just the ones who buy better tools.​

The Real Story: We get distracted by whether AI is 'intelligent' or human-like and that's a wrong lens to judge the AI platform. What matters is whether it performs economically and can it deliver results inside a system? Just like GPS changed how we navigate without 'thinking, AI changes outcomes by restructuring how people and systems coordinate.​

It's Not Automation. It's Coordination: The automation framing misses one critical point. We all focus on task replacement, productivity gains, cost cuts. That leads to marginal improvements and a lot of hype. The real frame of coordination is in getting fragmented teams, vendors, tools and decisions aligned. AI's economic power comes from lowering coordination costs, not just execution costs.

The Container Ship Analogy: Singapore became a hub not by optimizing docks, but by positioning itself at the center of coordination. Shipping containers didn't win because they were faster. They won because they forced standardization across ports, rail, customs and contracts. They made coordination predictable. AI does the same thing for knowledge work that containers did for global trade.​

The Coordination Gap: Modern work is messy with siloed teams, disconnected tools, misaligned incentives. Traditional software only handles structured, rule-based environments. But most real work involves ambiguity, judgment calls, tacit knowledge, and negotiation. That gap is where AI actually matters.

How AI Works (Economically): AI does five things that make it useful for coordination under uncertainty:

• Sense the environment

• Build a working model

• Evaluate trade-offs

• Execute decisions

• Learn from feedback

This isn't about perfect reasoning. It's about making fragmented systems work together.

Jobs Get Unbundled and re-bundled: Jobs are bundles of tasks plus coordination plus judgment. AI strips out the coordination-heavy parts. Value shifts away from doing tasks toward orchestrating the system. That's why reskilling alone doesn't work. The system itself undergoes changed and one needs to reposition where value accumulates after everything gets rebundled.​

Organizations Need to Be Rebuilt: AI isn't a new hire, but a reorganization trigger. Traditional org charts optimize for control and hierarchy. AI enables flatter, more modular structures driven by outcomes. Authority shifts from hierarchy to system design, who sets up the coordination layer matters more than who manages people.

Competitive Advantage Comes from System Design: Buying AI tools doesnt create  advantage for organizations. Everyone buys the same software. Advantage comes only from managing uncertainty, owning the decision context, and designing the interfaces where others depend on your system.​

Control Without Consensus: Traditional coordination requires everyone to agree upfront. AI enables coordination without consensus by translating across fragmented actors. Value attracts participants first; consensus follows later. Power goes to whoever controls the shared representation layer and the system others plug into.

Designing for Indecision: AI increases options and it increases confusion. The real advantage is helping users decide under ambiguity. Companies that reduce cognitive load capture trust, attention and dependency. Decision orchestration becomes the new lock-in.​

AI Strategy: AI isn't a standalone strategy. Before defning AI strategy, the right questions to ask are: 1) Where does coordination break today? 2) Where does uncertainty block value? 3) Who controls the decision flow? 

Strategy shifts from "what tech to adopt" to "where do we re-architect the system".