Brands
Adobe study: Indian brands lead in generative AI, transforming team structures
Mumbai: Adobe released the Digital Trends 2024 Asia Pacific and Japan (APJ) report indicating how Indian brands are embracing the generative AI deployment. Brands across the Asia Pacific and Japan region are set to make major near-term organisational changes to scale up adoption, revealing a dynamic shift in the region’s digital landscape. As per the findings of the report, Indian brands are leading the charge, showcasing their exceptional data capabilities and unwavering commitment to governance frameworks. These strengths are driving their prominent position in the adoption of generative AI, setting them apart as pioneers in technological innovation. The report also highlights India’s role in shaping the future of AI, emphasising its influence in advancing industry standards and ensuring the ethical use of emerging technologies.
According to executives among Indian brands, 52 per cent leverage data and algorithms to deliver personalised website experiences, the highest in the region. Additionally, 38 per cent employ generative AI to craft customized emails, messages, and other content, further demonstrating their leadership.
Stage of generative AI adoption within the organisation according to senior executives
(evaluation vs implementation of full or initial solutions/pilots)
However, while executives are confident their generative AI rollouts are advancing to plan, many day-to-day users hold a different view. Across APJ, just 4 per cent of executives say their organisation doesn’t have a formal generative AI adoption strategy, which rises substantially among practitioners. In India, 45 per cent of Indian organizations have generative AI solutions in place and are assessing their effectiveness, while 27 per cent have pilots underway.
Agree that no formal generative AI adoption strategy exists
(senior executives vs practitioners)
“Indian brands are confidently deploying generative AI while enhancing their productivity on a larger scale. This innovation offers a distinct path to integrate data, anticipate customer needs, and provide more targeted and timely content delivery. However, despite a broad desire for adoption, only a few brands are adjusting their strategies to fully leverage these benefits. Those at the forefront are leading with higher consumer loyalty, efficient conversion, and trust,” said Adobe India’s director of marketing Anindita Veluri.
As a leader in AI and a trusted partner, Adobe is working closely with brands across Asia Pacific as they transition generative AI initiatives from experimentation into enterprise-level deployment. By integrating generative AI into the Adobe apps that marketers already use including Adobe Acrobat, Adobe Photoshop and apps within Adobe Experience Platform, it can more easily be adopted into exiting workflows, all in a commercially safe way, backed by enterprise-grade security, privacy and compliance.
The report confirms that among APJ brands, generative AI integration is a key digital initiative that is most likely to support brand growth in 2024. As a result, most brands are developing guidelines for responsible use of AI (73 per cent) and aligning a comprehensive AI roadmap with broader business goals (71 per cent). In India, 70 per cent of senior executives feel well-prepared to implement governance and ethical guidelines for generative AI, and 58 per cent are actively investing in governance frameworks—14 percentage points above the APJ average.
Brands to adapt organisation structures, skills and data capabilities for AI era
Brands anticipate significant changes to operating models and organisational structures to support generative AI adoption. By the end of 2024, Indian brands plan to leverage generative AI extensively for content production, demonstrating their commitment to enhancing digital customer experiences. Specifically, 80 per cent of Indian brands expect to use generative AI for idea creation and concepting, allowing skilled employees to finalize these concepts. Additionally, 76 per cent aim to utilize generative AI to auto-update live content—ranking highest globally—and to adapt existing content for different audiences, products, and regions.
Changes to organisational structures expected by mid-to-end of 2024 to support generative AI adoption
Executives are also prioritising initiatives to help employees upskill and provide clear guardrails for using generative AI. The top-rated is advanced AI skills training for key staff (47 per cent), followed by policies for ethical and secure generative AI usage (45 per cent).
Over two-thirds of APJ brands also believe that generative AI will transform data analytics and management more than any other part of the organisation. They also recognise that data capabilities and governance are a cornerstone capability, with most planning to increase investment in customer data management in 2024. Within APJ, this is highest in India (75 per cent).
Sub-regional highlights and comparisons
Brands
Angel One Q4 profit surges 83 per cent to Rs 320cr
year net profit dips 22 per cent to Rs 915cr as revenue softens slightly to Rs 5,137cr.
MUMBAI: Angel One has just earned its wings in style delivering a blockbuster Q4 that proves the brokerage giant is still flying high even in a cautious market. Standalone revenue from operations for the three months ended 31 March 2026 rose sharply to Rs 1,459cr, up from Rs 1,056cr a year ago. Total income stood at Rs 1,467cr. After all expenses, profit before tax came in at Rs 440cr, while net profit for the quarter surged 83 per cent to Rs 320cr (versus Rs 175cr last year). Basic EPS stood at Rs 3.52 and diluted at Rs 3.44.
For the full year ended 31 March 2026, revenue from operations was Rs 5,137cr compared with Rs 5,238cr in FY25. Total income reached Rs 5,152cr. Profit before tax was Rs 1,272cr, and net profit came in at Rs 915cr (down from Rs 1,172cr). Basic EPS was Rs 10.09 (from Rs 13.00) and diluted Rs 9.85 (from Rs 12.68).
Total comprehensive income for the quarter stood at Rs 321cr, while the full-year figure was Rs 913cr.
The strong quarterly performance reflects robust growth in interest income (Rs 455cr) and fees & commission (Rs 1,000cr), even as the full-year numbers moderated amid a softer overall environment. Finance costs rose to Rs 134cr in Q4 (full year Rs 437cr), while employee benefits stood at Rs 244cr for the quarter (full year Rs 1,067cr).
In a year when many brokers felt the pinch of muted market activity, Angel One has delivered a sparkling Q4 that shows its core broking engine is firing on all cylinders. With the books now closed on FY26, the Mumbai-based player has once again demonstrated that consistent execution and a sharp focus on retail participation continue to pay rich dividends in India’s booming capital markets.
