AI-Friendly Before AI-First: GCC Perspectives

In a recent conversation with my ex-boss, we explored some of the unique dynamics of Global Capability Centers (GCCs). One key takeaway: a company must be AI-friendly before it can become AI-first.

Alignment Starts with Initiatives, Not Just ROI

Organizations often begin their AI journey through initiatives rather than immediate ROI-driven motives. There might be AI talent within the team, but project priorities shape what gets implemented. As a consultant, I’ve seen that internal teams possess strong capabilities but are often bandwidth-constrained. They will evaluate, challenge, and probe external perspectives, yet their ability to execute depends on time and focus.

The Role of GCCs: Delivery vs. Innovation

GCCs can function in multiple ways—either as pure delivery centers catering to regional project needs or as innovation hubs driving transformational change. The distinction is crucial because execution models differ significantly.

Innovation vs. Execution: The Long Game of AI

Project success, project innovation, and project vision are all distinct. A project doesn’t end when it goes live; it evolves. AI and data-driven products thrive on iteration—data quality improvements, model refinements, customer feedback loops, and continuous enhancement. The real differentiator isn’t just building and shipping—it’s about creating lasting impact.

Keep Going!!!

Growing Better in Your Perspective, Not in Comparison

Career is Not:

The competition challenges individuals to prove their relevance, contributions, and visibility. It can become a cycle of constantly demonstrating skills, communication, and expertise to outshine others in a highly competitive landscape. The relentless pursuit of visibility creates a dynamic where comparisons become inevitable, even when the differences are as distinct as apples and oranges. We find ourselves not only competing with direct peers but also with colleagues across various divisions, all striving to be recognized and make a meaningful impact.

Career Is:

Take time to build your perspectives and focus on what you can do during your peak years of good health and availability. A career is more about experience and shaping what truly makes you happy. It’s a marathon, not a sprint - plan your journey in phases and balance your priorities.

"Growth is not measured by how far ahead you are of others, but by how deeply you understand yourself and how intentionally you shape your journey."

The Experimenter’s Mindset: Focus, Iterate, Persist!

• Productivity = Focused Time
• Ideation = Aha! Moment + Iteration
• Right Idea + Confidence = Realization
• Don’t stop experimenting just because you haven’t learned everything.
• Some fundamentals and assumptions will evolve as you learn from mistakes.
• Persistence > Time / Data / Needs / Tech Perspectives
• Success = Sticking to your idea despite constraints!

Keep Going!!!

How My Days Go These Days – AI Advisory / Consulting / Strategy

• Code for a few hours, and develop a solution in mind.
• Attend meetings to align with the vision.
• Build a structured solution approach.
• Revisit and map your domain experiences.
• Balance Build fast vs. Fail fast identify red flags.
• Add a layer of insights.
• Test your solution, and integrate different perspectives.
• Some tasks run in parallel, others are sequential.
• Even when offline, the solution keeps running in your mind.
• Every paper, resource, or discussion sparks new ideas.
• Manage time between meetings, deep thinking, reading, and coding.
• Everything adds up incrementally—failures translate into new perspectives.
• Be selective - pick and choose the right opportunities.
• 10 hours or 15 hours - doesn’t matter. Quality over hours.
• Happy to Work Remotely/Freelance - No Time for Pollution, Traffic, or Office Gossip
• Learning thrives on diverse perspectives - what you learn, experiment with, research, and intuitively connect.

Keep Learning!!!

🚀 The Experimenter’s Mindset: Focus, Iterate, Persist! 🔑

• 🚀 Productivity = 🎯 Focus Time
• 💡 Ideation = 🤯 Aha! Moment + 🔄 Iteration
• ✅ Right Idea + Confidence = 🎉 Realization
• ❌ Don’t stop experimenting just because you haven’t learned everything
• 🔄 Some fundamentals & assumptions will keep evolving as you learn from mistakes
• 🌍 Tag along with the ecosystem + 📚 Courses = 🔥 Motivation
• 💪 Persistence > ⏳ Time / 📊 Data / 🎯 Needs / 🛠️ Tech Perspectives
• 🏆 Success = Sticking to your idea despite constraints! 🔑✨

 Keep Experimenting!!!

With GenAI, does Deepwork become Quick Work?

With GenAI tools, iterations, and idea generation happen naturally at a faster pace. Design, solutioning, and iterations become much quicker.

However, there are potential long-term impacts with surface-level learning:
1️⃣  The natural trial-and-error learning process gets shortened
2️⃣   The ability to evaluate information objectively is compromised due to shorter attention spans
3️⃣   The depth of historical understanding suffers when complex topics are reduced to simplified summaries
4️⃣  Shortcuts often come with trade-offs—what we learn quickly, we may forget just as fast if depth is lacking

👉 Are we trading deep understanding and human reasoning for speed?
👉 Should we slow down and give complex problems the time and focus they deserve?

Keep Thinking!!!

Policymakers - Start Working on the GenAI Anti-Venom

Keep Thinking!!!

DeepSeek's Culture is Secret to Success

Good Read from Post

DeepSeek's Culture is Secret to Success

Key Lessons from post

• Research groups are formed based on specific goals, with no fixed hierarchies or rigid roles
• Everyone has unique experiences and comes with their own ideas
• There are no weekly reports, no internal competitions that pit employees against each other
• We need people who are extremely passionate about technology, not people who are used to using experience to find answers. Real innovation often comes from people who don't have baggage

Pick what you can connect with and Keep Going!!!