Brands
Jio Financial Services posts Rs 1,560 crore FY26 profit
Revenue rises to Rs 3,513 crore as investments and lending scale up.
MUMBAI: If money makes the world go round, Jio Financial Services Limited is quietly spinning a much bigger wheel. The Reliance-backed financial arm reported a consolidated net profit of Rs 1,560.9 crore for FY26, slightly lower than Rs 1,612.6 crore in FY25, even as revenue growth gathered pace.
Total revenue from operations rose sharply to Rs 3,513.3 crore in FY26 from Rs 2,042.9 crore a year earlier, driven largely by a surge in interest income, which more than doubled to Rs 1,901.9 crore from Rs 852.5 crore. Fee and commission income also saw a significant jump to Rs 597 crore, compared to Rs 155.2 crore in FY25, reflecting expanding financial services activity.
For the March quarter, profit stood at Rs 272.2 crore, broadly flat compared to Rs 269 crore in the same period last year. Quarterly revenue from operations climbed to Rs 1,018.5 crore, up from Rs 493.2 crore year-on-year, signalling steady momentum in core income streams.
Expenses, however, moved in tandem with growth. Total costs nearly quadrupled to Rs 1,982.9 crore in FY26 from Rs 524.8 crore in FY25, with finance costs alone rising to Rs 745.1 crore from just Rs 7.7 crore a year earlier, reflecting increased borrowing and scale of operations. Employee expenses also grew to Rs 387.3 crore, while other expenses expanded to Rs 755 crore.
Profit before tax stood at Rs 1,911.7 crore for the year, slightly below Rs 1,946.9 crore in FY25. After accounting for a total tax outgo of Rs 350.8 crore, the company reported its final net profit figure.
Beyond the income statement, the balance sheet tells a story of rapid expansion. Total assets surged to Rs 1,63,497 crore as of March 31, 2026, up from Rs 1,33,510 crore a year earlier. Investments alone stood at Rs 1,33,088.7 crore, underscoring the company’s strong focus on treasury and financial asset growth.
However, the year also saw sharp volatility in other comprehensive income, which swung to a loss of Rs 16,028.3 crore, largely driven by fair value changes in equity instruments. This dragged total comprehensive income for FY26 to a negative Rs 15,756.1 crore, compared to a positive Rs 14,870 crore in FY25.
On the capital front, the company’s paid-up equity share capital remained steady at Rs 6,353.1 crore, with other equity rising to Rs 1,27,500.5 crore.
The numbers reflect a business in transition scaling rapidly across lending, investments and fee-based services, but also navigating the volatility that comes with mark-to-market movements in financial assets. In other words, while the top line is accelerating, the fine print still carries a few swings.
Brands
Creative Intelligence: Using AI to Predict Which Ads Will Actually Convert
Priyanka Aeron, Director & Co-founder of Thrive Global AI
MUMBAI: In a heavily populated digital landscape, simply being creative with your advertising will not guarantee that your ad will be successful. In fact, brands today are producing more content than ever. However, very little of that results in actual engagement or sales. However, Creative Intelligence, powered by AI, is fundamentally transforming the advertising industry.
Creative Intelligence utilizes data, machine learning, and statistical behavioral insights to analyze and predict how well a creative asset will perform prior to it being published. Therefore, marketers no longer have to rely on either their gut instincts or post-campaign analytics for making informed decisions before production. That said, AI-powered creative intelligence greatly improves results and decreases wasted dollars spent.
Moving Beyond Guesswork
In the past, making ads was a mix of gut feeling, experience, and A/B testing. These methods were useful, but reactive by nature. People have already spent their budgets by the time the results are looked at. AI models can find patterns that are linked to higher engagement and conversion rates by looking at huge datasets. These datasets can include things like past campaign performance, audience behavior, and visual elements like color, composition, and facial expressions. This helps marketers guess which ads will do well even before they go live.
Decoding What Truly Drives Conversions
AI-powered creative intelligence allows for an evaluation of advertisements that is not limited to the basic data but also explores the elements of an effective advertisement through subtle reactions; clarity and directness of the ad message and how well the ad captures audience’s attention in the first three seconds. AI can also provide insights into the successful use of advertisements directed to human faces, which connect through eye contact based on media channels, and how advertisements that utilize shorter but clear calls to action may produce more clicks from certain populations. The insights, provided through AI, provide marketers with the ability to think beyond creating more advertising material and additionally create more effective ad campaigns that actually convert.
Personalization at Scale
Consumers expect relevance more than ever. Irrelevant mass messaging is not going to work in a society inundated with information. Hyper-personalization, using AI, allows companies to create content that suits individual segments within their target markets based on their demographics, interests, and behaviors. Rather than having one single message that aims to reach everyone, brands can have many versions of their messages tailored to each segment within the market. Such flexibility is what makes campaigns successful nowadays.
Faster Iteration, Better Results
Another advantage to using AI in creative decision-making is speed. Companies must improvise because their campaign cycles are shorter than ever before, and having the ability to iterate rapidly is more important than it has ever been. There is no greater way to do this work than through AI, as new technologies give brands the ability to test multiple creative avenues and figure out which ones are working well. This reduces a lot of the testing that companies would otherwise have to do and makes the process faster.
With AI, brands can also make creative changes in real-time during a campaign, allowing the, to make vital decisions and adjust their creatives, rather than waiting out. This allows for faster adaptability, well-tested campaigns and reduced lost ad spend.
The Human-AI Collaboration
Even though AI is capable of performing certain tasks, its purpose is not to eliminate human creativity. Successful campaigns require human collaboration with computer intellect since both complement each other. While computers are capable of dealing with massive amounts of information, discovering patterns, and providing predictions, humans are the one to inject stories and emotions into campaigns.
The Future of Advertising
As the complexity of advertising becomes harder with the passage of time, Creative Intelligence will play a significant role in helping marketers formulate a strategic approach. The yardstick that will set standards for determining whether a marketing firm has fulfilled its responsibilities will be the forecasting of future outcomes, as well as personalized content and optimization of creative elements in real-time. In contrast to the existing scenario where the campaigns remain fixed, these campaigns will be capable of adjusting themselves according to the customer interacting with the brand, as well as other trends on social media channels. This will enable brands to offer customers an engaging experience that will exceed expectations. The biggest hurdle marketers will face will be finding ways to utilize these capabilities without compromising branding and enhancing the creativity of the team involved.
