iWorld
GUEST COLUMN: Venturing into AI world – Dealing with the Cookiepocolypse
Mumbai: Technological advancements have been at the helm of our evolution. The last decade witnessed some stellar advancements and shifts in our behavior. Recalling a few; we upgraded from 3G to 4G almost in a blink, smartphones and tabs lead the device usage stats and social media has become the new “news finder.” The most important “world wide web feature,” that has been around for a couple of decades, and now is on the verge of sunset is cookies.
And with this development being pronounced crucial by leading tech firms including Google and Apple, naturally, the most pressing question in every marketer’s mind is, how do we continue to target effectively in a cookieless world? The answer certainly is – Artificial Intelligence (AI).
The rise of the new change
Cyberlaw caretakers are under the constant dilemma of addressing the rising concerns about how digital consumer data is being gathered, stored and utilised. Browser giants like Apple Safari, Firefox, and Google Chrome have either already unplugged their third-party cookie storage approach or are working towards the same.
This means the digital marketing space is transforming rapidly. However, this doesn’t necessarily ring a bell of disaster for the marketers. Pico targeting and communication with relevance between businesses and users can still see the light of the day by maximizing first-party data collection on websites. This consent-based data gathering helps to boost the users’ trust, dependency and retention on the platform.
But the marketing fraternity’s concern remains – how do we precisely target communication to the select user cohorts without cookies? The answer, as mentioned earlier, most definitely is by using artificial intelligence. As the times change, our transformation from digital natives to AI natives is just a few miles away. And the cookieless web world might as well streamline the situation more ardently.
How can AI help deal with a cookieless web?
To begin with, AI systems comprise complex neural networks that are trained with billions of data points. On the back of this data, the AI begins to learn and understand actions, predict results and recommend best-suited actions to achieve the desired marketing goal. The most heartening news for marketers is the fact that AI has immense capabilities to provide deep insights into the constantly evolving customer base and improve the understanding brands and businesses have of their users. And all of this without cookies.
From enabling multichannel communication to relevant advertising, AI has the calibre to effectively cement the gap that will spring up in the cookieless world. Thousands of advanced AI models analyze and learn from billions of first-party data with the help of deep learning algorithms and NLP. This further helps the AI to make accurate predictions and provide recommendations in real-time.
As we move towards more stringent privacy frameworks, AI is already revealing high efficiency in improving ROI and amping up business growth incredibly. Additionally, with AI holding the omnichannel communication fort high, marketers can precisely target user cohorts across multiple channels without worrying about the lack of cookies.
(About Author: Neel Pandya is the Pixis CEO for Europe and APAC)
eNews
India uses ChatGPT for technical tasks nearly 4 times the world average: OpenAI
From classrooms to code, India’s AI use is increasingly skill-driven and youth-led.
MUMBAI: If code is the new currency, India is already minting it by the million prompts. In the world’s largest democracy, artificial intelligence is no longer a distant abstraction or a boardroom buzzword. It is a daily companion, drafting emails in Hyderabad, debugging code in Bengaluru, polishing essays in Delhi, and fielding life advice in towns far beyond the metros. Fresh data from OpenAI’s “Signals” initiative offers a rare, granular glimpse into how India is using ChatGPT, and the numbers suggest the country is not just adopting AI; it is actively shaping its use.
India is one of the largest markets globally for ChatGPT’s weekly active users and ranks among the top five countries for API usage. With OpenAI’s global consumer base exceeding 800 million users, most of them on free tiers, the dataset captures adoption patterns that go far beyond enterprise subscriptions.
Indian users, notably, are punching above their weight when it comes to advanced capabilities. Among ChatGPT Plus and Pro subscribers, usage of the data analysis tool is roughly four times above the global median. Use of Codex, OpenAI’s coding platform, is about three times above the median. Indians are nearly three times more likely than the global median to ask coding-related questions and almost twice as likely to seek help on education and learning.
This matters because it signals something economists call a shrinking “capability overhang”, which is the gap between what AI tools can do and how fully users exploit them. In India, that gap appears to be narrowing rapidly.
The geography of this coding intensity tracks the country’s technology hubs. Telangana, which is home to Hyderabad, ranks first in usage of OpenAI’s coding capabilities. Karnataka, home to Bengaluru, follows in second place, while Tamil Nadu comes third. In other words, the prompt traffic mirrors the tech corridors.
Nearly two-thirds of consumer ChatGPT messages in India are now non-work related, while slightly over one-third are tied to work. That marks a significant shift. In earlier phases of adoption, work was the dominant use case. It was only in early 2025 that non-work messages overtook professional use, and the divergence widened throughout the year.
Even so, India remains slightly above the global average in work-related usage. Around 35 per cent of consumer messages in India relate to work, compared with roughly 30 per cent globally.
At work, the emphasis is squarely task-oriented. Around 45 per cent of work-related conversations fall into “doing” behaviours such as drafting documents, transforming text, and completing tasks, compared with a much smaller share in non-work contexts. Technical help and writing dominate. In offices across the country, ChatGPT functions as a digital co-pilot that debugs code, polishes presentations, and unblocks stalled workflows.
Outside work, the tone shifts. Over 35 per cent of non-work messages revolve around practical guidance, which includes everyday advice and how-to queries. Roughly 20 per cent relate to seeking information. Nearly one-fifth involve writing tasks such as drafting or editing. Self-expression and learning loom large. In personal life, Indians appear to use AI less as an executor and more as an explainer, sounding board, and study partner.
India’s demographic dividend is clearly reflected in its AI habits.
Users aged 18 to 24 now account for just under half of all ChatGPT messages sent in the country. They surpassed the 25 to 34 age group in mid-2024 and have held the lead ever since. Globally, the 18 to 24 cohort accounts for about one-third of messages; in India, the share is markedly higher.
Combined, users aged 18 to 34 generate roughly 80 per cent of total consumer ChatGPT messages in India. Given that around 40 per cent of India’s population is under 25, the youth skew is unsurprising, but its implications are profound. Education-related queries, early-career problem-solving, and skills development are likely to dominate near-term AI impacts.
Usage patterns also differ by age. The 18 to 24 cohort accounts for a near majority of messages seeking practical guidance, technical help, and self-expression. Meanwhile, the 24 to 34 group sends a slightly higher share of multimedia and technical help queries relative to its overall share of usage.
If AI norms are being written in real time, it is young Indians who are holding the pen.
OpenAI does not collect gender data, but inferred patterns based on typically masculine and feminine first names reveal a measurable gap in India. A little under 60 per cent of users have typically masculine names, and just over 40 per cent have typically feminine names. This skew is more pronounced than the global average.
Worldwide, users with typically feminine names now account for slightly more than half of all messages. This shift occurred only in the summer of 2025, when feminine-name usage overtook masculine-name usage globally. In India, the gap persists, although it has been narrowing over the past year.
There are also topical differences. Users with typically feminine names are more likely to send messages related to self-expression, practical guidance, and writing. Those with typically masculine names lean more towards seeking information and technical help.
The data does not capture motivations, but it does highlight where inclusion efforts and digital literacy initiatives could focus if AI is to broaden opportunity rather than deepen divides.
The consumer story aligns with India’s broader AI momentum. The country ranks second globally in AI skills penetration and has one of the fastest-growing AI talent pools. It accounts for 9.2 per cent of global AI publications in computer science as of 2023, which represents a substantial contribution to research output.
At the same time, investment in AI data centres and digital public infrastructure is expanding, promising to knit together datasets and resources at scale. Enterprise adoption is also robust, which suggests that consumer experimentation is unfolding alongside institutional integration.
OpenAI’s “Signals” project is built with aggregated, privacy-preserving data and released with a time lag. It aims to provide a durable measurement layer for the AI era. The idea is not to track individuals, but to surface patterns such as where adoption is accelerating, who is using the tools, and what they are actually doing.
In a country as vast and varied as India, such evidence is more than academic. It shapes decisions about workforce training, small business support, education policy, and safeguards.
For now, the numbers paint a picture of a nation that is not merely consuming AI, but conversing with it in an energetic, experimental, and increasingly skilful manner. In India, the future of work and learning is not being downloaded. It is being drafted, debugged, and rewritten in real time.
