AI, telecom infra vital for each other, concerns remain on AI-based system's impact: Trai Chair
Trai Chairman Anil Kumar Lahoti emphasized the vital interdependence between AI and telecom infrastructure while highlighting concerns about AI-based systems affecting millions of users. AI systems currently block nearly 400 million calls/messages daily, demonstrating significant implementation scale. Industry leaders stressed need for adaptive frameworks, skilled manpower development, and clear policies to attract investments, while preparations continue for the IndiaAI Impact Summit in February with global participation expected.

*this image is generated using AI for illustrative purposes only.
Artificial Intelligence and telecom infrastructure have developed a vital interdependence, but concerns persist regarding the impact of AI-based systems on millions of users, according to Telecom Regulatory Authority of India Chairman Anil Kumar Lahoti. Speaking at the Trai-STPI Pre-Summit Event on 'AI in Telecommunications', Lahoti outlined both the opportunities and challenges facing the sector.
Mutual Dependence of AI and Telecom
Lahoti explained that telecom networks serve as the primary carriers of AI, while AI provides an intelligent layer for telecom operations. Telecom service providers are increasingly leveraging AI across multiple functions to enhance their operations and customer experience.
| AI Application Area | Purpose |
|---|---|
| Network Planning | Optimizing infrastructure deployment |
| Network Operations | Enhancing operational efficiency |
| Predictive Maintenance | Anticipating equipment needs |
| Consumer Experience | Improving service quality |
| Fraud Detection | Combating fraudulent activities |
| Spam Detection | Filtering unwanted communications |
| Workflow Automation | Streamlining complex processes |
Current AI Implementation Scale
The scale of AI deployment in India's telecom sector has reached significant proportions. AI systems deployed by telecom service providers are currently detecting and blocking nearly 400 million voice calls or messages per day using AI detection combined with blockchain technology.
Lahoti noted that with 5G rollout, rapid data consumption growth, IoT expansion, and early 6G developments, telecom networks have evolved into highly complex and dynamic systems. Managing this complexity through conventional approaches has become increasingly challenging, making AI a foundational capability rather than merely an efficiency tool.
Industry Challenges and Requirements
Cellular Operators Association of India Director General S P Kochhar highlighted several critical challenges facing AI implementation in telecommunications. He emphasized the need to develop AI at scale to benefit masses, particularly rural populations through voice-based services.
| Challenge Area | Key Concerns |
|---|---|
| Trust Building | Ensuring public acceptance of AI benefits |
| Data Ownership | Managing privacy and security discussions |
| Technology Pricing | Addressing cost concerns for AI implementation |
| Policy Framework | Need for clarity and consistency in regulations |
| Skilled Manpower | Developing industry-relevant capabilities |
Kochhar stressed that discussions around data ownership, privacy, bias, transparency, and accountability have moved from marginal sidelines to center stage. He noted that while frameworks are being discussed, ground-level implementation requires extensive brainstorming and clear policy direction to attract investments and innovation.
Skill Development Concerns
Addressing the skilled manpower challenge, Kochhar made pointed observations about India's current skill development ecosystem. He noted that while numbers may indicate leadership in skilled manpower, the reality differs significantly. The current focus on blue-collar worker skilling often fails to align with industry requirements, necessitating a comprehensive system revamp encompassing skilling, re-skilling, and up-skilling initiatives.
IndiaAI Impact Summit Preparations
IndiaAI COO Kavita Bhatia provided updates on the upcoming IndiaAI Impact Summit scheduled for February 19-20 in Delhi. Working groups are incorporating inputs from pre-summit events to form the basis of declaration documents for the main summit.
| Summit Statistics | Numbers |
|---|---|
| Completed Working Group Meetings | 25 |
| Pre-Summit Events Target | 300+ |
| Events Conducted | 350+ |
| Additional Events Planned | 157 (till February 7) |
| Total Participants | 2.2 lakh people |
| Expected Country Heads | 15+ |
| Participating Countries | 100+ |
| Confirmed Countries | 12 |
| Global Leaders Expected | 50+ |
The extensive pre-summit engagement reflects the global significance of AI's impact on telecommunications and the broader digital ecosystem. These preparatory events are designed to ensure comprehensive stakeholder input into policy frameworks and implementation strategies that will shape the future of AI in telecommunications.
Historical Stock Returns for Tarai Foods
| 1 Day | 5 Days | 1 Month | 6 Months | 1 Year | 5 Years |
|---|---|---|---|---|---|
| 0.0% | -9.13% | -7.72% | -24.31% | -34.76% | +57.18% |

































