This transition is especially important for urban utilities, many of which continue to face challenges such as high levels of non-revenue water (NRW), ageing infrastructure, rising operational costs and increasing pressure on water resources. Cities are therefore turning to digital technologies, including smart meters, AI-powered leak detection, GIS-based asset mapping, IoT sensors and advanced SCADA systems, to improve network visibility and enable real-time decision-making.

Utilities such as the Bangalore Water Supply and Sewerage Board (BWSSB) have already begun leveraging digital solutions to strengthen monitoring, improve service delivery and reduce system inefficiencies, offering a glimpse into the future of utility operations in India.

Yet technology alone cannot transform water management. The success of digital utilities will depend on a workforce capable of interpreting data, managing intelligent systems and adapting to new ways of working. As India moves towards smarter and more resilient water infrastructure, investing in people must become as important as investing in technology itself.

BRIDGING THE WATER SKILLS GAP

India’s water sector is evolving rapidly as utilities embrace smarter and more technology-driven ways of managing water systems. Digital tools are helping improve monitoring, operations, and service delivery, making water management more efficient than ever before. But while technology is advancing quickly, the workforce responsible for running these systems must also develop the skills needed to use and manage them effectively.

Today, many water utilities are staffed by experienced engineers and operators who were trained for traditional systems. But water management is becoming increasingly digital. Smart meters, IoT sensors, SCADA platforms, and AI-powered monitoring tools are generating large volumes of data and changing how utilities operate. In many cases, staff have had limited training to effectively use these technologies.

Several cities, including Pune, Nagpur, Ahmedabad, and Bengaluru, have already begun deploying AI and digital tools to improve water management. The Jal Jeevan Mission has also strengthened water quality monitoring through thousands of testing laboratories and trained community members across villages. These initiatives show the potential of technology, but they also highlight a growing challenge: technology adoption is moving faster than workforce preparedness.

WHAT AI IS ACTUALLY DOING IN INDIA’S WATER SYSTEMS?

Artificial intelligence is already being used

across India’s water sector to improve efficiency, reduce losses, and strengthen service delivery. These technologies are no longer being tested in pilot projects; they are becoming part of day-to-day utility operations. As adoption grows, the challenge is not just deploying technology but ensuring that the workforce has the skills to use it effectively.

• Reducing Non-Revenue Water (NRW): Cities such as Pune, Ahmedabad, and Nagpur are using AI-based leak detection, smart meters, and IoT sensors to identify leaks and reduce water losses.
• Real-Time Water Quality Monitoring: Automated monitoring tools and testing systems are helping utilities track water quality more efficiently and respond faster to potential issues.
• SCADA and Remote Monitoring: Utilities are increasingly using SCADA and telemetry systems to monitor networks in real time and improve operational control.
• Predictive Asset Management: AI tools can predict equipment failures and pipeline issues, enabling utilities to plan maintenance before disruptions occur.
• Groundwater Management: AI-driven analytics are helping monitor groundwater levels and support better planning for sustainable water use.

As water systems become smarter, the role of engineers, operators, and technicians is also evolving. Building digital and data skills across the workforce will be essential to ensure these technologies deliver their full value.

TRAINING PROGRAMMES: WHAT EXISTS AND WHAT IS STILL MISSING

India’s national AI skilling ecosystem is building a strong base for future digital talent, though it is not specifically focused on the water sector. The IndiaAI Mission (2024) under MeitY is the key framework, supporting 500 PhD scholars, 5,000 postgraduate learners, and 8,000 undergraduates in AI-related programmes. It is also expanding capacity through 31 AI and Data Labs via NIELIT, with 174 ITIs

INDIA’S WATER FUTURE: CHALLENGE AND AI OPPORTUNITY (2025-2030)

INVESTING IN WATER SECURITY ₹67,000 Cr Central government allocation for Jal Jeevan Mission under Union Budget 2025-26, extended to 2028 (Ministry of Jal Shakti)

FIXING LEAKY INFRASTRUCTURE 40% of water supplied by Indian urban utilities is lost before it reaches a single tap, costing $2.5 billion every year (World Bank / NIUA) AI repair

URGENT ACTION NEEDED 600 Million Indians already live under high to extreme water stress. By 2030, demand could double, potentially cutting GDP by 6% Smart water management intervention (Portal, 2025) GDP

DIGITAL MARKET BOOM INR 5,800 Cr The current size of India’s AI-powered water utility management market is growing rapidly toward 2030 (Ken Research, 2025)

REDEFINING THE WORKFORCE 10.35 Million Indian jobs expected to be redefined by Agentic AI by 2030, including roles in water, infrastructure, and public services (ServiceNow/Pearson, 2025) Operator AI Network Supervisor Predictive Analyst Maintenance Public Administrator

WIDESPREAD AI ADOPTION 87% Many Indian enterprises are now actively using AI in some form (NASSCOM AI Adoption Index, December 2025) Agriculture Manufacturing 87% Energy Finance

and polytechnics being integrated into the skilling network. Separately, NITI Aayog-led programmes have trained about 8.65 lakh candidates in emerging technologies by August 2025, including 3.20 lakh in AI-specific courses. While these efforts are significant in scale, the water sector remains a secondary beneficiary and is not yet a dedicated focus area.

Jal Shakti & Field-Level Digital Training

Under the Ministry of Jal Shakti and National Water Mission, officials are being trained to use MIS platforms for monitoring village-level water systems. This includes basic digital skills like data entry, dashboard tracking, and reporting across thousands of rural habitations.

AMRUT 2.0 Digital Mandate

AMRUT 2.0 requires cities to adopt digital systems and, in many cases, PPP models for water projects. This has created an indirect need for training, with some states including operator training during technology handover, though quality varies widely.

Smart Cities & Control Room Operations

Over 100 cities under the Smart Cities Mission have Integrated Command and Control Centres (ICCCs) that monitor urban services, including water. Operators learn real-time system monitoring on the job, but there is still no standard certification or structured AI training pathway.

Bengaluru & BWSSB Digital Initiatives

In Bengaluru, BWSSB and related state initiatives are increasingly using digital tools for water distribution and monitoring. However, training for staff to fully manage AI and data-driven systems is still evolving and remains largely project-based.

Bangalore Water Supply and Sewerage Board’s (BWSSB) sewage treatment plant (STP)

Private Sector & PPP Training Models Companies like SUEZ, Veolia, VA Tech Wabag, and Ion Exchange bring structured training when managing water projects under PPP models. But this knowledge often stays within individual contracts and is not widely transferred to public utility systems.

Across all these efforts, the biggest gap remains at the frontline level. Pump operators, field engineers, and municipal staff are increasingly expected to work with smart systems, but large-scale structured AI and digital training for them is still limited.

POLICY FRAMEWORK FOR INDIA: WHAT NEEDS TO HAPPEN NEXT

India’s water sector is steadily moving

towards digital and AI-enabled operations, supported by national programmes like the IndiaAI Mission, AMRUT 2.0, Jal Jeevan Mission, and NITI Aayog’s AI roadmap. However, most of these initiatives are still not tightly aligned with the specific needs of water utilities. What is missing is a focused, practical skilling framework that ensures people inside utilities are prepared to use and manage these systems effectively.

IMMEDIATE ACTIONS (0–18 MONTHS)

• National Water AI Skilling Programme: Create a joint programme under Jal Shakti, MeitY, and NITI Aayog to set clear AI skill standards for operators, engineers, and managers. Extend IndiaAI FutureSkills to water-specific modules.
• AMRUT 2.0 Training Linkage: Make operator certification a requirement before digital water systems are fully operational. Also, reserve 5–10% of project funds specifically for training and capacity building.
• Utility Skills Audit: Conduct a nationwide assessment of water utility staff to map digital readiness and identify skill gaps across roles and states.
• ITIs & Polytechnic Integration: Introduce modules on SCADA, IoT sensors, dashboards, and AI alerts in technical institutes to build job-ready water professionals.

MEDIUM-TERM ACTIONS (18 MONTHS–4 YEARS)

• National Water Digital Academy: Set up a dedicated institution for AI and digital training in water, offering scalable online and residential programmes.
• Digital Teams in Utilities: Create “Digital Operations Cells” in each state utility to manage AI systems, support staff training, and handle tech coordination.
• Knowledge Transfer System: Capture expertise from retiring senior engineers and convert it into structured training and learning material.
• PPP Training Mandates: Make operator training and knowledge transfer compulsory in all water PPP contracts.
• Bengaluru & BWSSB Digital Push: Strengthen BWSSB’s ongoing digital monitoring and distribution systems with structured staff training. Scale learning from Bengaluru’s smart water management efforts into formal capacity-building models.

LONG-TERM ACTIONS (4–8 YEARS)

• National Water Data Standards: Create uniform data governance rules for all utilities to ensure consistency, interoperability, and better decision-making.
• Public–Private Talent Exchange: Enable short-term deployment of private sector engineers into public utilities to strengthen on-ground digital capabilities.
• AI Governance in Water Systems: Develop clear guidelines for responsible use of AI in water allocation, pricing, and service prioritisation.

These steps are essential to ensure that India’s water sector is not only digitally equipped but also has the trained workforce needed to run and sustain these systems effectively.

CONCLUSION: INDIA’S WATER FUTURE NEEDS EQUAL INVESTMENT IN PEOPLE

India has shown that it can deliver water infrastructure on a massive scale, with initiatives like Har Ghar Jal transforming access across the country. The systems, funding, and execution capacity are already in place. The next step is to invest just as strongly in the people who run these systems.

AI and digital tools can significantly improve water management, reducing losses, extending infrastructure life, and improving water quality monitoring. These gains could translate into better service for millions of households and major savings for utilities. In some cases, they can even help prevent public health risks by enabling faster detection and response. But none of this works without trained professionals. AI is not replacing water workers; it is reshaping their role. The real success of India’s water transformation will depend on how effectively engineers, operators, and field staff are trained to use these tools. Technology and people must move together for the system to truly deliver.

“The most important infrastructure investment India can make for its water future is not a pipe or a sensor or an algorithm. It is a trained, trusted, digitally confident water workforce.” egov

Written by: Sahaj Anand, Elets News Network (ENN)