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By:

Bhalchandra Chorghade

11 August 2025 at 7:24:18 pm

CIDCO struggles to find takers for its homes

Mumbai: The City and Industrial Development Corporation’s (CIDCO) latest housing scheme has exposed a recurring challenge for the planning authority: finding buyers for its large housing inventory despite its affordable-housing focus. The August 2026 scheme offered 4,793 homes in Taloja, Kharghar and Kalamboli and received 4,180 confirmed applications before bookings closed on September 3. While CIDCO described the response as strong, 613 homes—nearly 13 per cent of the inventory—had no...

CIDCO struggles to find takers for its homes

Mumbai: The City and Industrial Development Corporation’s (CIDCO) latest housing scheme has exposed a recurring challenge for the planning authority: finding buyers for its large housing inventory despite its affordable-housing focus. The August 2026 scheme offered 4,793 homes in Taloja, Kharghar and Kalamboli and received 4,180 confirmed applications before bookings closed on September 3. While CIDCO described the response as strong, 613 homes—nearly 13 per cent of the inventory—had no confirmed applicant. This follows earlier schemes with similar gaps. In January 2025, CIDCO’s ‘My Preferred Home’ scheme, offering around 26,000 homes across Navi Mumbai, attracted 1.36 lakh initial applications. However, only about 55,000 applicants paid the registration fee and around 22,000 deposited the required earnest money, leaving serious participation below the number of homes offered. A CAG-linked report on two CIDCO housing schemes in Kharghar found that, of 4,814 saleable tenements, allotment letters had been issued to 3,733 applicants and possession handed over to 3,317. Four years after the draw, 1,081 tenements remained unsold. CIDCO has also faced scrutiny over marketing expenditure. In 2023, reports questioned the appointment of private agencies to market and allot PMAY homes, stating that the agencies had received advances of more than Rs 100 crore before sales took place. CIDCO officials said external support was necessary given the scale of the programme. The scale of investment adds to the concern. CIDCO’s mass-housing programme envisaged 68,515 homes at an estimated cost of around Rs 15,300 crore. A 2024 report noted that thousands of completed homes were awaiting sale, locking up capital and increasing the authority’s financial burden. The latest homes are located in Taloja Sector 39, Kalamboli Bus Depot and Kharghar Bus Depot. Taloja accounts for 4,229 homes, followed by 257 in Kalamboli and 293 in Kharghar. Indicative prices range from around Rs 23.50 lakh in Taloja to Rs 37.70 lakh in Kalamboli and Rs 43.50 lakh in Kharghar. The figures point to a possible mismatch between what CIDCO considers affordable and what its target buyers can finance. Industry experts have noted that EWS homes priced at Rs 25 lakh or more may be difficult for households within the prescribed income ceiling, particularly after registration, stamp duty, floor-rise charges and other costs. Location may also influence demand. Taloja has seen rapid development and improved connectivity, including metro access, but buyers continue to weigh its distance from established employment centres and social infrastructure, as well as commuting costs. CIDCO maintains that its housing programme meets a genuine need in Navi Mumbai. Ashwin Mudgal, Vice Chairman and Managing Director, CIDCO, said, “The overwhelming response to the housing scheme reflects the aspirations of citizens to own a home in Navi Mumbai and their continued confidence in CIDCO’s planned development initiatives. CIDCO remains committed to providing affordable and quality housing opportunities in well-planned locations, enabling citizens to benefit from the region’s growing infrastructure and connectivity.” The authority has also highlighted the Pradhan Mantri Awas Yojana-Urban (PMAY-U) subsidy, under which eligible beneficiaries can receive Rs 2.5 lakh, subject to applicable guidelines and eligibility criteria. However, the repeated unsold inventory suggests that CIDCO’s challenge extends beyond construction. Pricing, apartment configurations, location, payment flexibility and connectivity may need to be reassessed before further public resources are committed.

From Concrete to Compute

Correspondent
Jul 18
3 min read

How SN Subrahmanyan Is Shaping L&T's AI Future

For more than eight decades, Larsen & Toubro (L&T) has been synonymous with India's physical infrastructure, delivering metro systems, airports, power plants and some of the country's most complex engineering projects. Under L&T Chairman SN Subrahmanyan, however, the company's definition of infrastructure is expanding. Increasingly, it includes artificial intelligence, cloud computing, data centres and sovereign digital infrastructure the building blocks of India's next phase of economic growth.


That shift came into sharp focus at the India AI Impact Summit 2026, where SN Subrahmanyan joined NVIDIA founder Jensen Huang to unveil a strategic collaboration aimed at accelerating AI infrastructure in India. The announcement reflected more than a technology partnership; it signalled L&T's ambition to evolve from a builder of physical assets into an enabler of the country's AI-powered future.


An Engineer's Perspective on AI

Unlike many business leaders who entered the AI conversation as the technology gained mainstream attention, SN Subrahmanyan approaches it through the lens of an engineer. A civil engineering graduate, he joined L&T in 1984 as a project planning engineer and spent four decades leading some of the company's largest infrastructure businesses across India and the Middle East, including projects such as the Riyadh Metro, Doha Metro and Salalah Airport. After serving as Chief Executive Officer and Managing Director from 2017, he became Chairman and Managing Director in 2023.


That experience continues to shape his leadership philosophy. Rather than viewing AI as a standalone technology trend, Subrahmanyan sees it as an extension of engineering one that can improve planning, design, execution and operations at scale. During L&T's FY2024 Annual General Meeting, he described generative AI as a "game changer" and outlined how the company was embedding it across the project lifecycle to improve productivity and decision-making.


Why L&T Is Investing in AI Infrastructure

For L&T Chairman SN Subrahmanyan, AI is not only about adopting intelligent software; it is about building the infrastructure that makes large-scale AI deployment possible.


Through its collaboration with NVIDIA, L&T plans to develop one of India's largest proposed AI infrastructure ecosystems. The first phase includes expanding GPU capacity at its Chennai campus to approximately 30 megawatts while developing a 40-megawatt AI-ready data centre in Mumbai. The infrastructure is intended to support hyperscalers, enterprises, research institutions and government organisations building AI applications across manufacturing, healthcare, financial services, energy and the public sector.


The initiative aligns with Lakshya 2031, L&T's long-term growth strategy, which identifies digital infrastructure, cloud services and artificial intelligence as key growth engines. Alongside expanding AI-ready data centres, the company has strengthened its technology portfolio through investments such as its strategic stake in E2E Networks while leveraging businesses including LTIMindtree and L&T Technology Services to create an integrated digital ecosystem.


As governments worldwide race to build sovereign AI capabilities, companies that control compute infrastructure rather than just software are expected to occupy a strategic position in the AI value chain. L&T's investment signals that India's AI ambitions extend beyond developing models to building the physical and digital infrastructure required to run them at scale.


Building India's AI Backbone

Subrahmanyan has consistently argued that AI requires more than algorithms it requires infrastructure. As enterprises move from experimentation to production-scale AI, access to secure compute, cloud platforms and data infrastructure is becoming as critical as traditional industrial assets.


This philosophy reflects a broader global trend. Countries are increasingly investing in sovereign AI capabilities to reduce dependence on overseas infrastructure and strengthen digital resilience. L&T's strategy positions the company to participate in this transformation by combining its expertise in large-scale infrastructure delivery with emerging AI technologies.


For an engineering company known for constructing roads, ports and industrial facilities, building digital infrastructure is a natural evolution rather than a departure from its core strengths.


Leadership Beyond Technology

Despite leading one of India's most significant AI infrastructure initiatives, SN Subrahmanyan has consistently maintained that technology alone cannot drive transformation. In L&T's FY2025 Annual Report, he emphasised that while AI is accelerating innovation, long-term value will continue to depend on human judgment, responsible deployment and disciplined execution.


That balanced perspective reflects the leadership approach that has defined his career. Rather than pursuing technology for its own sake, he has focused on integrating new capabilities into L&T's long-standing engineering excellence and execution discipline.


From Concrete to Compute

As industries become increasingly digital, infrastructure itself is being redefined. The assets powering future economies will include not only highways, airports and power plants, but also AI factories, cloud platforms, GPU clusters and data centres.


Under SN Subrahmanyan's leadership, L&T is positioning itself at the intersection of these two worlds. The company's strategy is not about replacing concrete with compute; it is about recognising that tomorrow's infrastructure will combine both. If that vision succeeds, L&T Chairman SN Subrahmanyan may be remembered not only for leading one of India's largest engineering companies but also for helping build the digital foundations of the country's AI economy.

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