🚨 AI MAY DISRUPT INDIAN IT SERVICES—BUT IT CAN ALSO CREATE THE NEXT GROWTH CYCLE
Wipro Chairman Rishad Premji believes established IT companies are well placed to help enterprises adopt AI because they already understand clients’ processes, systems, data and industry constraints.
But the opportunity comes with a major disruption:
AI improves productivity, which means IT firms may have to pass part of the savings to clients. This can compress traditional effort-based revenue, reduce billing hours and pressure margins.
The business model could gradually shift from:
People deployed × hours billed
to
Consumption, transactions and business outcomes delivered
This is an important change. Smaller AI-native deals may ramp up faster, generate recurring revenue and carry better margins, while traditional cost-optimisation contracts remain large but take longer to convert.
Wipro itself reportedly reduced its monthly financial-closing cycle from 24 hours to just 8 hours using AI—showing that the opportunity is not limited to chatbots. It includes workflow redesign, data modernisation, cybersecurity, enterprise architecture and process automation.
Wipro Ventures has also committed $500 million toward AI, data and security startups, strengthening its ecosystem through investments, partnerships and acquisitions.
My view: AI will not automatically benefit every Indian IT company. It could initially cannibalise legacy revenue before new AI income becomes meaningful. The winners will be firms that can combine domain knowledge, proprietary platforms, data engineering and change management—not merely provide more programmers.
Watch TCS, Infosys, HCLTech, Wipro, LTIMindtree, Tech Mahindra and Persistent Systems for growth in AI-led deal bookings, recurring platform revenue, revenue per employee and outcome-based contracts.
The key question is no longer whether AI will replace IT services.
It is whether Indian IT companies can replace their old billing model before AI-native competitors replace them.
#ArtificialIntelligence #IndianIT #Wipro #TCS #Infosys #HCLTech #TechMahindra #PersistentSystems #DigitalTransformation #ITStocks #StockMarketIndia
🚨 GOOGLE IS MAKING INDIA A KEY TEST BED FOR ENTERPRISE AI
At Google I/O Connect India 2026, Google unveiled a broad push across enterprise AI, cybersecurity, sovereign cloud, education and healthcare—signalling that India will be central to the next phase of AI adoption.
Key announcements:
▪️ Gemini 3.5 Flash will be available to Indian businesses with in-country machine-learning processing, helping enterprises meet data-sovereignty requirements.
▪️ Regulated companies and government agencies can run Gemini through Google Distributed Cloud inside Indian data centres—on their own infrastructure and without relying on the public internet.
▪️ Google is expanding Sec-Gemini V3, its AI-powered cybersecurity agent, to selected government and enterprise testers.
▪️ Gemini Live will support 25 Indian languages and dialects, including Sanskrit, Bhojpuri and Maithili—potentially accelerating AI adoption beyond English-speaking users.
▪️ Google DeepMind is launching a free 56-hour AI Research Foundations programme covering LLM development, fine-tuning and advanced AI research, with Google Cloud skill badges and professional certificates.
▪️ The programme will initially work with NASSCOM and IISc before expanding to institutions across India.
▪️ ATAL Saathi, a Gemini-powered assistant for teachers, will launch in 100 schools and could eventually reach 10,000 schools.
▪️ AIIMS Delhi researchers are using Google’s open-source MedGemma models to develop India-specific healthcare tools.
Google is positioning its advantage as a complete AI stack—from TPUs and cloud infrastructure to Gemini, open models, cybersecurity and enterprise applications.
My takeaway: India’s AI opportunity is moving beyond consumer chatbots toward sovereign cloud, enterprise automation, cybersecurity, healthcare and vernacular AI. This could create long-term opportunities for Indian IT services, data-centre operators, cloud partners, cybersecurity companies and AI-skilled professionals.
#GoogleAI #Gemini #ArtificialIntelligence #Cybersecurity #DataCenters #CloudComputing #IndianIT #DigitalIndia #EnterpriseAI #TechStocks
🚨 INDIA’S ELECTRIC 2-WHEELER MARKET IS BOOMING—BUT THE WINNERS ARE CHANGING
India registered 9.71 lakh electric two-wheelers in H1 2026, up 53.3% YoY. Remarkably, TVS, Bajaj, Ather and Hero contributed nearly 96% of the industry’s incremental growth, showing that the market is rapidly consolidating around brands with scale, distribution and execution.
H1 2026 registrations:
• TVS Motor: 2.51 lakh, +65.7%
• Bajaj Auto: 2.18 lakh, +48%
• Ather Energy: 1.69 lakh, +91.1%
• Hero MotoCorp: 1.06 lakh, +208.4%
• Ola Electric: 65,999, −44.1%
The combined market share of TVS, Bajaj, Ather and Hero jumped from 66.6% to 76.7%. Meanwhile, Ola’s share collapsed from 18.6% to 6.8%, although monthly registrations improved from 7,808 in January to 16,150 in June.
My view: India’s EV story is moving from a startup-led disruption phase to an execution-led consolidation phase. Technology and aggressive pricing may attract initial customers, but automobiles are ultimately a trust-and-service business. Product quality, financing, spare-parts availability, dealership reach, resale value and after-sales service will determine the long-term winners.
This structurally favours TVS Motor, Bajaj Auto and Hero MotoCorp, which can leverage their nationwide networks and existing customer relationships. Ather is emerging as the strongest EV-focused challenger because of its product positioning and improving scale. Ola may recover sequentially, but rebuilding consumer confidence and service execution is more important than merely increasing monthly registrations.
At the current run rate, India’s e2W market could approach 19.4 lakh units in 2026, potentially growing around 45% over 2025.
The EV opportunity remains strong—but market share is shifting towards companies that can combine technology with manufacturing discipline, distribution and customer service.
#ElectricVehicles #EVStocks #TVSMotor #BajajAuto #HeroMotoCorp #AtherEnergy #OlaElectric #AutoStocks #IndianStockMarket #InvestingIndia
🚨 SG Finserve Q1 FY27: Hyper-growth with strong asset quality
Loan book: ₹4,552 Cr, +82% YoY
Total income: ₹136 Cr, +102% YoY
PAT: ₹54 Cr, +119% YoY and +27% QoQ
RoA: 5.1% | RoE: 14% | CRAR: 32% | NPA: NIL
The APL Apollo Group-backed NBFC is scaling supply-chain finance, deep-tier financing, factoring and TReDS, while guiding for 25–30% AUM CAGR and 30–35% PAT CAGR.
My view: This is the combination investors seek—growth, profitability and clean asset quality. The opportunity is large, but the key monitor is whether NIL NPAs and high returns remain sustainable as the loan book expands rapidly and newer products like LAP and digital lending are launched.
#SGFIN #SGFinserve #NBFC #SupplyChainFinance #StockMarketIndia
🚨 DHANLAXMI BANK: A TURNAROUND STORY—BUT WITH A GOLD-LOAN CONCENTRATION RISK
Q1 FY27 provisional business update:
Advances: ₹15,785 Cr | +26.5% YoY | +4.3% QoQ
Deposits: ₹19,403 Cr | +17.1% YoY | +4.1% QoQ
CASA: ₹5,589 Cr | +19.6% YoY | +3.9% QoQ
MSME: ₹2,250 Cr | +29.2% YoY | +5.4% QoQ
Gold loans: ₹7,105 Cr | +75.9% YoY | +9.1% QoQ
My banking-framework view:
✅ Deposits are broadly keeping pace with advances, so funding is not yet a major concern.
✅ FY26 asset quality improved sharply—GNPA 1.89%, NNPA 0.51% and PCR 92.46%.
✅ NIM improved to 3.53%, while CRAR remained comfortable at 18.92%.
✅ MSME growth is healthy and the bank is moving towards secured retail lending.
But the quality of growth needs attention.
Total advances increased by ₹656 Cr QoQ, while gold loans alone increased by ₹593 Cr. This means nearly 90% of incremental lending came from gold loans, which now form approximately 45% of the loan book.
Gold loans are secured, short-tenure and margin-accretive—but such concentration can make future growth dependent on gold prices, LTV discipline and regulatory changes.
CASA remains below 29%, FY26 ROA was only 0.53%, and the promoterless structure plus historical management instability still warrant a governance discount.
My framework score: 6.8/10.
Dhanlaxmi Bank is a promising turnaround and rerating candidate, but not yet a core-quality banking compounder.
The next rerating needs:
• ROA sustainably above 0.8–1%
• CASA above 30–32%
• Controlled slippages and credit cost
• Broader growth across MSME, housing and retail
• Continued management and board stability
Would you classify Dhanlaxmi Bank as an undervalued turnaround—or a gold-loan concentration story?
Educational analysis, not a buy/sell recommendation.
#DhanlaxmiBank #BankingStocks #GoldLoans #PrivateBanks #CASA #MSME #EquityResearch #StockMarketIndia
🚨 Two IT headlines, one major signal for the future of Indian IT services
TCS has won a multi-million, multi-year deal from ABB to design, integrate and operate its global network ecosystem as a secure, standardised and AI-driven service.
Meanwhile, HCLTech reported:
✅ Revenue growth: 13.9% YoY
✅ Net profit growth: 20.3% YoY
✅ Advanced AI revenue: $171 million, up 10.6% QoQ in constant currency
✅ Planned investment: ₹3,500 crore in AI data centres, scalable to 50 MW
My view: AI will not destroy IT services, but it will completely change where companies make money.
Routine coding, testing and support may get automated, while value shifts towards:
▪️ AI-ready infrastructure and data centres
▪️ Cybersecurity and compliance
▪️ Cloud and network modernisation
▪️ Multi-vendor orchestration
▪️ Industry-specific SLMs and AI platforms
▪️ Managed services and outcome-based contracts
TCS’s ABB deal shows how vendors can move from maintaining applications to running a client’s entire digital ecosystem. This creates longer contracts, deeper integration and better revenue visibility.
HCLTech’s strategy is more aggressive—it is moving from an asset-light services model into capital-intensive AI infrastructure. The opportunity is large, but investors must track capacity utilisation, client commitments, debt, margins and return on capital, not just the AI narrative.
Another important signal: HCLTech’s headcount declined even as revenue and profits increased. The next phase of IT growth may be driven more by revenue per employee, automation and intellectual property than by mass hiring.
The winners will not be companies simply mentioning AI. They will be those that convert AI spending into large deals, recurring revenue, proprietary solutions and sustainable ROCE.
Which strategy will create more shareholder value—TCS’s asset-light AI services model or HCLTech’s full-stack AI infrastructure bet?
#TCS #HCLTech #ArtificialIntelligence #ITStocks #DataCenters #IndianIT #StockMarketIndia