Indian manufacturing is at a crossroads. Efficiency, driven by scale, has been the staple so far, but the next frontier will be intelligence built into the system. From factories to warehouses to supply chains, equipment is transforming from fixed-programme machines to flexible systems that perceive, learn and respond to the environment. This transformation, powered by Physical AI, is gradually reshaping value creation in Make in India.
For decades, the Indian industry has centred automation on standardisation and throughput. It was efficient but required stability and human intervention. This is now being challenged. Supply chains are more volatile, streams of demand are less predictable, and margins for error are smaller. Physical AI's answer is to push decision-making down the chain. Hence, machines no longer wait for orders. They are making decisions on the fly.
This is seen in the logistics and warehouse sector, where precision is key to the customer. The rapid growth in e-commerce has increased the need for faster and more accurate order fulfilment. In this industry, there is massive automation on the way, enhancing picking, sorting and storage. Intelligent robots boost order accuracy, while storage utilisation is being optimised to allow more throughput in a given area. Meanwhile, humans are being reallocated for problem management, coordination and planning, enhancing efficiency and robustness.
Similar transformations are happening in manufacturing. Smart systems can recognise anomalies, make changes and reduce downtime automatically. This is essential in India, where input and environmental conditions are highly variable. Physical AI enables production systems to respond, rather than halt, which enhances product quality and equipment usage. Over time, this responsiveness will be a key to competitiveness.
The impact is also felt in other sectors. In farming, Physical AI is driving precision farming. Drones and robots can target sprays, weeds and pests, with greater precision and efficiency. This is especially important in high-value crops where time and consistency are vital. It is not an issue of labour substitution, but of efficiency gain and sustainable farming.
The services sector is also evolving. Call centre call triaging, reception, and basic data entry are being redefined with smart systems. It's not a loss of human labour but a shift in responsibilities. Employees are transitioning to monitoring, managing and making decisions. Global labour research demonstrates that these human-machine teams are more productive.
Small and medium-sized enterprises will benefit. Older automation needed significant investment and hard-coding, limiting its use. The latest AI-based solutions are adaptable. They understand tasks, are flexible to change and easy to deploy. This reduces the barriers to SMEs scaling up, increasing quality and reducing waste. They will become more competitive in the local and export markets.
But the rate of adoption will be constrained by infrastructure. Reliable power, fast internet and computing power are needed. Electrification and digitalisation have been progressing, but Physical AI will need more edge computing and maintenance. Improved infrastructure, particularly in non-industrialised regions, will be needed.
Physical AI will allow more micro-manufacturing. Tech-enabled mini-factories can be set up near markets, addressing migration while boosting local economies. With greater digital connection, expert operators can run the manufacturing process remotely, producing more diverse growth.
However, governance is not to be ignored. Smart systems are reliant on data streams, and so security is critical. Coordinated data policy settings, robust software testing and periodic inspections will be needed to ensure safe deployment and build public confidence.
We are moving from automation to intelligent autonomy in manufacturing, with Physical AI at the forefront, connecting digital intelligence and physical actions; for India, this is not just a chance to scale up manufacturing, but to re-imagine it, for the next phase of Make in India will be decided not by scale, but by smart-scale.
Addverb co-founder Prateek Jain
The author is the co-founder and chief operations officer of Addverb.
The opinions expressed in this article are those of the author and do not purport to reflect the opinions or views of THE WEEK.
