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Sterlite Tech and HFCL Rally on Data-Centre Demand

Sterlite Technologies shares surged nearly 375% year-to-date and HFCL rallied approximately 135%, driven by rising demand for optical-fibre and interconnect solutions tied to AI-focused data-centre buildouts. A KPMG report projects India's data-centre sector revenue will reach nearly $45.69 billion by 2033, fueled by larger AI workloads, cloud adoption, and data-localisation rules. Hyperscalers are accelerating investments in AI-capable data centres, with market experts viewing the sharp share-price moves as backed by structural tailwinds including the global fibre buildout and BharatNet-related telecom capex.

read3 min publishedMay 27, 2026

Economic Times reports that Sterlite Technologies has surged nearly 375% year-to-date while HFCL has rallied about 135%, driven by rising demand for optical-fibre and interconnect solutions tied to AI-focused data-centre buildouts. Economic Times cites a KPMG report projecting India's data-centre sector revenue will reach nearly $45.69 billion by 2033, a trend the article links to larger AI workloads, cloud adoption, and data-localisation rules. The piece notes hyperscalers are accelerating investments in AI-capable data centres and that unnamed market experts view the sharp share-price moves as backed by structural tailwinds including the global fibre buildout, BharatNet-related telecom capex, and rising high-density optical connectivity demand.

What happened

Economic Times reports that Sterlite Technologies has surged nearly 375% year-to-date and HFCL has rallied about 135% during the same period. Economic Times links the rallies to accelerating investments by hyperscalers in AI-focused data centres, creating higher demand for optical-fibre cables, interconnect solutions and related telecom infrastructure. Economic Times also cites a KPMG projection that India's data-centre sector revenue could reach nearly $45.69 billion by 2033, which the article describes as being driven by larger AI workloads, rising cloud adoption and data-localisation requirements.

Editorial analysis - technical context

Optical fibre and high-density interconnects are a core part of scaling modern AI training and inference environments because they carry the high-bandwidth, low-latency links needed for server-to-server and cross-rack traffic. Industry observers note that as model sizes and cluster scale increase, intra- and inter-data-centre connectivity needs grow faster than raw compute, increasing demand for fiber, transceivers and switching fabric hardware.

Industry context

Observed patterns in similar infrastructure-led rallies show that supply-side capacity, multi-year enterprise or hyperscaler contracts, and government-led broadband programmes can extend growth beyond a single earnings cycle. Economic Times frames the current moves in Indian markets as a convergence of global hyperscaler capex and domestic initiatives such as BharatNet, both cited in the article as contributing to demand for optical-network suppliers.

What to watch

  • •Quarterly order intake and backlog disclosures from Sterlite Technologies andHFCL, as reported in company filings or quarterly results, to verify whether revenue growth is underpinned by firm contracts (reported fact to seek in filings). - •Pricing trends for optical-fibre and high-density optics, since margin pressure can arise if component supply outpaces demand (industry-pattern observation).
  • •Announcements from hyperscalers and large cloud providers about data-centre expansions in India or nearby regions, which Economic Times links to the rally.
  • •Any capital-expenditure or policy updates on BharatNet and data-localisation rules that could shift domestic telco spending, as noted by Economic Times.

Bottom line

Economic Times reports large YTD share gains for Sterlite Technologies and HFCL tied to AI-driven data-centre demand and cites a KPMG market projection. Industry patterns suggest such infrastructure booms depend on sustained order flow, pricing, and rollout timelines rather than short-term sentiment.

Scoring Rationale #

The story matters to practitioners because hardware and networking supply affect where and how AI compute is deployed; it is notable but not frontier research. Infrastructure funding and capacity shifts are important but not industry-shaking.

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