Global firms use AI in India to bring ad work in-house

Global advertisers are increasingly turning to artificial intelligence‑driven production hubs in India to shift a larger share of their creative work from external agencies to in‑house teams. Companies such as Kimberly‑Clark and Target India have announced that AI tools are now handling image generation, video editing and copy drafting from their Indian centres, allowing campaigns to launch faster and at lower cost. The move, reported in early 2024, reflects a broader industry trend of leveraging the country’s talent pool and affordable computing power to reshape how ads are built.

What happened

In the first quarter of 2024, several multinational firms disclosed that their Indian operations were deploying generative‑AI platforms for end‑to‑end ad creation. Kimberly‑Clark, a consumer‑goods giant, integrated AI‑based design software into its Bangalore hub, enabling designers to produce product visuals in minutes rather than days. Target India followed a similar path, using large‑language models to draft social‑media copy and storyboard video concepts for its upcoming seasonal promotions. Both firms reported that the AI layer reduced the time spent on iterative revisions and eliminated the need for multiple external vendor contracts. Reuters and The Hindu highlighted that the shift is not limited to a single sector; advertising agencies across retail, FMCG and tech are also establishing AI‑enhanced studios in cities like Hyderabad and Pune.

Why it matters

The immediate impact of the AI rollout is twofold: cost efficiency and speed to market. By automating routine creative tasks, firms can cut production expenses that traditionally included agency fees, third‑party licensing and lengthy approval cycles. Faster turnaround also means brands can respond to market signals—such as trending hashtags or sudden price changes—within hours rather than weeks. For advertisers, this translates into more agile campaign management and the ability to test multiple creative variations simultaneously. Moreover, bringing work in‑house helps companies retain greater control over brand messaging and data security, a concern that has grown with the rise of digital advertising.

The bigger picture

India’s position as a global AI hub is reinforced by its large, English‑speaking talent pool and competitive operating costs. According to industry observers, the country now hosts dozens of AI research labs and offers a supportive regulatory environment for data‑intensive applications. The advertising sector is mirroring the broader tech trend where multinational corporations set up “center‑of‑excellence” units to harness AI for product development, customer service and supply‑chain optimisation. Comparable moves have been seen in Europe, where firms like Unilever and L’Oréal are piloting AI‑driven content studios in the UK and France. In India, the convergence of AI expertise and creative talent creates a unique value proposition that is attracting both established brands and start‑ups.

What’s next

Analysts expect the AI‑enabled in‑house model to expand beyond visual and copy creation. Upcoming pilots involve AI‑generated audio for radio spots and synthetic voice‑overs for e‑commerce product videos. Companies are also experimenting with AI‑based performance analytics that automatically adjust ad spend based on real‑time engagement metrics. As the technology matures, the line between agency and client may blur further, prompting a re‑evaluation of traditional service contracts. Stakeholders are watching for regulatory guidance on deep‑fake content and data privacy, which could shape how aggressively firms adopt generative tools.

Key takeaways

• Global brands such as Kimberly‑Clark and Target are using AI at Indian hubs to bring more ad work in‑house.
• AI accelerates image, video and copy production, cutting costs and shortening campaign cycles.
• India’s talent pool and cost structure make it an attractive destination for AI‑driven creative centres.
• The trend signals a shift toward greater brand control and reduced reliance on external agencies.
• Future developments may include AI‑generated audio, dynamic spend optimisation and tighter regulatory scrutiny.