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The AI Revolution: India’s Pivotal Role

Peter Koerte, Chief Technology Officer of Siemens AG, called artificial intelligence “the electricity of this century” during his speech at Transform 2026 in Mumbai. This comparison highlights AI’s potential to transform industries and daily life, much like electricity did a century ago.

India is now a key player in this transformation. The country generates vast amounts of data, has a growing startup ecosystem, and promotes digital sovereignty, making it a “vital leader” in industrial AI, according to Koerte. With over 1.4 billion people and a median age of 28, India’s dynamic economy is attractive to global AI adopters.

The Indian market combines traditional industries like steel and textiles with a fast-growing services sector. This mix provides a unique environment for AI to thrive, as companies test AI solutions across various settings, from assembly lines to logistics. Indian firms are experimenting with AI, creating case studies that benefit multinational supply chains.

This momentum is evident in the rise of AI research centers, public-private partnerships, and venture capital investments, which have more than doubled since 2020. India is shifting from merely consuming AI tools to co-creating the frameworks that will shape the future of industry.

Bridging Potential and Reality: Siemens’ Vision for Industrial AI

Siemens, with a 150-year history in India, is at the forefront of this transition. At Transform 2026, the company showcased how AI is moving from experimentation to widespread use across four areas:

India is shifting from merely consuming AI tools to co-creating the frameworks that will shape the future of industry.

• AI-driven factories: Integrated sensors and analytics predict equipment failures, reducing unplanned downtime by up to 30% in pilot projects.
• Hyperscale data centers: AI optimizes workload balancing, cutting energy use by about 15% compared to traditional cooling methods.
• Intelligent buildings: Predictive models adjust lighting and HVAC systems in real time for comfort and savings.
• Sustainable mobility and future-ready grids: AI traffic management and grid-balancing algorithms are being tested in Indian cities, enhancing flow and renewable energy integration.

These applications share a common theme: the integration of automation, software, and electrification. Digital twins allow engineers to simulate changes, speeding up design-to-production cycles from months to weeks. Machine learning models monitor asset performance, flagging issues and suggesting fixes to improve resilience in factories and utilities.

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Koerte emphasized that AI’s value lies not just in isolated gains but in boosting productivity, reducing energy use, and fostering innovation. He stated, “Competitiveness will depend on how effectively businesses harness digitalization, industrial AI, and automation to drive productivity, resilience, and decarbonization.”

future workforce: Skills and Opportunities in AI-Driven Industries

The rise of industrial AI is changing the job market, creating demand for professionals who can combine technical skills with industry knowledge. New roles like AI solutions architect and data-driven process engineer are becoming essential in manufacturing and energy sectors.

However, there is a significant gender gap in India’s corporate leadership. Women hold only 5% of CEO positions and 10% of executive roles in listed companies. While they make up 23% of the workforce, their representation decreases at senior levels. Women account for just 14% of Key Management Personnel, highlighting systemic barriers that limit diverse perspectives in AI innovation.

Closing this gap is both a social and economic necessity. Diverse teams excel in problem-solving and creativity, which are crucial for developing effective AI systems. Companies like Siemens are working to create inclusive talent pipelines through apprenticeship programs, upskilling grants, and flexible work arrangements.

Companies like Siemens are working to create inclusive talent pipelines through apprenticeship programs, upskilling grants, and flexible work arrangements.

In addition to gender diversity, the skills needed for the AI-driven industrial era include:

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1. Data literacy: Understanding sensor data and extracting insights.
2. Domain fluency: Knowledge of manufacturing, energy, or building management to contextualize AI outputs.
3. Systems integration: Connecting AI with existing systems and platforms.
4. Ethical stewardship: Awareness of bias, data privacy, and sustainability.

Educational institutions are adapting. IITs and IIMs are offering interdisciplinary programs that combine engineering, computer science, and business. Private initiatives like Siemens’ “Digital Academy” provide short-term certifications to help mid-career professionals transition into AI roles.

This creates a growing talent pool ready to drive industrial transformation. Aspiring technologists should focus on mastering AI tools alongside industry-specific knowledge, as the best opportunities will likely arise at this intersection.

The Long View: Harnessing Leadership for Sustainable Growth

India’s rise as an AI leader reflects a significant shift in how industry, policy, and talent interact. Siemens’ roadmap shows that AI can enhance productivity, resilience, and decarbonization—key factors for the competitiveness of Indian businesses.

To realize this potential, India must invest in AI-ready infrastructure, such as high-speed connectivity and secure data ecosystems. Additionally, focusing on inclusive talent development will ensure that the AI workforce mirrors the diversity of the nation, unlocking innovative potential.

The Long View: Harnessing Leadership for Sustainable Growth India’s rise as an AI leader reflects a significant shift in how industry, policy, and talent interact.

As India embraces intelligent machines and AI-optimized energy systems, it is clear that leadership in AI is about orchestrating ecosystems that deliver real value. The next decade will test India’s ability to maintain its momentum, but the groundwork laid today suggests a future where AI serves as a catalyst for a more productive, resilient, and inclusive industrial landscape.

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