India needs to move from building technology for the world to building global technology companies

6. India needs to move from building technology for the world to building global technology companies

Source: Express Computer · 30 October 2026

An interesting discussion in today's technology coverage focuses on a long-standing challenge for India's technology ecosystem.

India has become a major destination for engineering, software development and global capability centres (GCCs). Multinational companies increasingly rely on Indian teams for sophisticated engineering and product-development work.

But there is a distinction between building technology for another company and owning the product, intellectual property and business.

The article argues that India has substantial engineering talent, but relatively few homegrown technology companies have achieved global scale.

Some of the challenges include:

• Access to long-term capital.
• Funding research and product development.
• Building international sales operations.
• Competing with established global technology companies.
• Creating products with a differentiated global market position. AI makes this transition even more important. Routine coding and testing may become increasingly automated, while the ability to integrate AI into complex systems securely and responsibly becomes more valuable.

Why this matters for students and entrepreneurs:

India's next opportunity may not be limited to providing engineering services. It could involve building globally competitive AI products, enterprise platforms and specialised technology businesses.

For aspiring founders and engineers, understanding customer problems, product development and commercial viability will matter alongside technical skills.

Source: Express Computer — Can India build the next global tech giant?

Express Computer

What these developments mean collectively

Today's five key takeaways

AI is changing the IT employment model.

Companies are monetising AI, but hiring patterns are becoming more selective and skill-dependent.

AI skilling is becoming an institutional priority.

Large companies such as SAP are setting substantial training targets.

Industry-academia collaboration is expanding.

Centres of Excellence and practical partnerships are becoming important education models.

AI is entering public administration.

Governments are exploring AI for service delivery, verification and operational efficiency.

AI investment needs commercial results.

Infrastructure spending is enormous, and investors want evidence of sustainable returns.

Editorial source note

The original article was accessible and dated 29 October, rather than the supplied 30 October. This is editorial analysis and discussion of possible opportunities, not a guaranteed forecast. All claims remain attributed to the supplied reporting, not independently verified by Aiexl. The natural photograph is illustrative, not a photograph of the reported organisations or events.