ARUN JAIN'S DIARY

One of the most important shifts we are witnessing today is this.

AI is not about automation. AI is about reimagining the future.

And if that is true, then education itself must be reimagined.

As we mark the 13th anniversary of the 8012 FinTech Design Center, I had the opportunity to engage with students at the Design Spark Challenge 2026 organised by School of Design Thinking. What stood out was not just the solutions they built, but the way they approached problems.

Most of the time, we solve problems that are given to us.

This time, students chose to examine problems within their own ecosystem -their learning, their institutions, and their experience as students. That shift is important.

Because the future of education will not be defined by how content is delivered, but by how problems are framed.

In the age of AI, knowledge is no longer scarce. It is instantly accessible. What becomes critical is the ability to understand the problem, frame it correctly, and design meaningful solutions.

This is where Design Thinking plays a central role.

What I observed over 24 hours was not just learning. It was acceleration.

Students moved from:

• understanding the problem
• to framing the problem
• to defining the solution
• to building and testing
• to finally storytelling their ideas

This entire cycle, which typically takes months in academic or enterprise environments, was experienced in just 24 hours.

That is the real insight.

The capacity to learn, think, and execute is far greater than we assume. What limits us is not capability, but structure, approach, and often, distraction. When structured thinking meets the right tools, the outcome is fundamentally different.

With platforms like Purple Fabric, students were able to move beyond simple use cases and begin thinking in terms of orchestrated, intelligent systems – not automation, but reimagination.

Equally important was what they learned about themselves.
Time management.
Team collaboration.
Breaking down complexity.

And most importantly, understanding how their own mind works.

If we can help students observe how they think, how they learn, and how they solve problems, we are not just preparing them for jobs.

We are preparing them to shape the future. Because the real opportunity in the AI era is not limited to jobs.

It lies in the ability to solve problems at scale.

India, with its diversity and complexity, offers one of the largest problem landscapes in the world. The question is whether we are preparing students to engage with it meaningfully.

Design Thinking provides that lens. AI amplifies that capability.

Together, they can redefine how we learn, build, and create impact.

I was doing the research why in 1400, a small country like Portugal became richest power. It was not Italy or France or Germany or British. I found the answer today.

Portugal’s rise in the 15th-16th century is a pure technology-to-economics story.

They combined three tech breakthroughs, lateen sails (lift), square sails (speed), and deep keels (stability), into caravels and carracks that could sail against the wind. This was the world’s first “physics-driven navigation system.”

With this capability, Portugal opened the direct sea route to India, mounted cannons on ships, mastered monsoon algorithms, and built the world’s first global supply chain from Lisbon to Goa to Malacca.

Result: They broke the Arab-Venetian spice monopoly, captured 2/3 of global spice trade, earned 300-600% ROI per voyage, and became the richest nation in Europe for nearly a century.

A simple insight: technology → control of routes → control of trade → economic power.

This was the first example of tech innovation creating global economic dominance.