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In early 2026, Bajaj Finance isn’t just playing with chatbots; it is re-engineering its entire foundation. While the broader Indian market is navigating a choppy Monday, Bajaj Finance Ltd (NSE: BAJFINANCE) is in the spotlight for a "black swan" of a different kind, a massive ₹1,600 crore revenue surge fueled entirely by artificial intelligence. But even with these record-breaking numbers, the stock has dipped to around ₹1,023, a level that has investors asking: Is the AI hype enough to protect the "expensive rocket" from a slowing economy?. The Bajaj Finance "FinAI" Strategy: From Pilot to Profit The main reason for the buzz is the scale of Bajaj's "FinAI" transformation. Most companies use AI to cut costs, but Bajaj is using it to find money. By scanning two crore (20 million) customer calls with AI, the company identified hidden sales opportunities that a human workforce simply couldn't catch. This led to ₹1,600 crore in loan disbursements in a single quarter, nearly 10% of their total volume.However, the sector is facing a new kind of pressure. Just as AI is threatening the "hours-worked" billing model of IT giants like TCS, it is changing the "relationship-based" lending model for NBFCs. Investors are worried that while AI makes Bajaj more efficient, it also lowers the barrier for entry for competitors like Jio Financial or HDFC, potentially leading to a price war that could squeeze profit margins. Why Bajaj Finance’s share price is Down Despite the AI Win Bajaj Finance’s share price is currently navigating a "bearish patch" because of a mixed Q3 FY26 report. While revenue rose 24%, net profit remained flat at ₹2,229 crore. The culprit? Accelerated credit provisioning. To strengthen its balance sheet against potential bad loans, the company took a massive ₹1,406 crore hit to implement a "Loss Given Default" floor. Additionally, high-interest rates in the US and new domestic labor code charges of ₹379 crore have made investors cautious. Even with the AI-driven "Voice to Value" success, the market is waiting to see if these productivity gains can offset the rising cost of risk Bajaj Finance Price Forecast: Key Levels to Watch The technical chart for Bajaj Finance shows a stock in a "correction zone." The RSI is currently trending neutral, but the stock is battling to stay above the ₹1,000 psychological floor. The Support: The first major safety net is at ₹1,015. If sellers push it below ₹1,003, we could see a slide toward the ₹963 level seen earlier this month. The Resistance: On the upside, the stock needs to break past the ₹1,035 pivot to regain its bullish momentum. If it turns that level into support, the next target is the consensus analyst goal of ₹1,119. Bajaj Finance stock on the 1-hour chart for February 16, 2026 Source: Trading View Is Bajaj Finance’s AI Pivot a Game-Changer or a Smoke Screen? The immediate future of Bajaj Finance hinges on whether its "FinAI" productivity gains can outpace the current structural headwinds in the Indian lending market. While a ₹1,600 crore revenue boost from AI-driven call analysis is a powerful proof of concept, the stock’s inability to hold the ₹1,035 resistance today suggests that investors are still fixated on the ₹1,406 crore hit from credit provisioning. For long-term holders, the narrative remains intact: if the company successfully scales to 100 million AI-managed interactions by 2027, it could fundamentally reset the cost-of-doing-business for NBFCs. However, in the short term, expect volatility to remain high as the market waits for AI efficiency to finally show up as a "bottom-line" profit surge rather than just a "top-line" disbursement headline. What is the "FinAI" program? It is an enterprise-wide shift to deploy 800+ autonomous AI agents to handle everything from credit underwriting to customer service, aiming for a 25–45% efficiency boost. Is Bajaj Finance a "Buy" right now? While the stock is down today, brokerages like ICICI Direct and HDFC Securities remain bullish with targets up to ₹1,150, citing the company's "AI moat" as a long-term competitive advantage. How did AI help Bajaj Finance generate ₹1,600 crore? The company used AI to analyze call recordings that previously sat idle, converting voice data into 100,000 personalized loan offers for existing customers.

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