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Business
Suzlon to invest Rs 550 crore in AI‑driven wind blade plants across Gujarat, Karnataka and Tamil Nadu
✍️ The Economic Times
🗓 11 Oct 2026, 01:02 PM
👁 20
Renewable energy firm Suzlon announced a Rs 550 crore investment to establish three AI‑enabled wind blade manufacturing facilities in Gujarat, Karnataka and Tamil Nadu.
Suzlon, a leading wind turbine manufacturer, said it will pour Rs 550 crore into setting up three new factories that will use artificial intelligence to design and produce wind turbine blades. The plants will be located in the states of Gujarat, Karnataka and Tamil Nadu, marking a major expansion of its domestic manufacturing base.
The AI‑powered facilities are expected to enhance blade precision, reduce material waste and cut production lead‑times, aligning with Suzlon’s goal to improve cost‑competitiveness of its turbines. The company indicated that each factory will have an annual capacity of several hundred thousand blades, supporting both domestic projects and export orders.
The investment comes as India pushes for higher renewable energy capacity under its 2030 targets. By expanding locally, Suzlon aims to meet growing demand for wind power while creating jobs in the three states. The firm expects the first plant to become operational by 2026, subject to regulatory clearances.
The move also reflects a broader industry trend of integrating AI and digital tools into heavy manufacturing to boost efficiency and sustainability.
The AI‑powered facilities are expected to enhance blade precision, reduce material waste and cut production lead‑times, aligning with Suzlon’s goal to improve cost‑competitiveness of its turbines. The company indicated that each factory will have an annual capacity of several hundred thousand blades, supporting both domestic projects and export orders.
The investment comes as India pushes for higher renewable energy capacity under its 2030 targets. By expanding locally, Suzlon aims to meet growing demand for wind power while creating jobs in the three states. The firm expects the first plant to become operational by 2026, subject to regulatory clearances.
The move also reflects a broader industry trend of integrating AI and digital tools into heavy manufacturing to boost efficiency and sustainability.