Indian Consumers Lead APAC in Generative AI Expectations, Challenging Brands to Accelerate Adoption

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Adobe's research reveals that 81% of Indian consumers expect brands to adopt generative AI by 2024-end, the highest in APAC. While Indian brands lead in AI adoption, they face challenges in meeting consumer expectations for transparency, ethics, and affordability.

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Indian Consumers Set High Expectations for Generative AI Adoption

A recent study by Adobe, titled "State of AI-driven Consumer Value," has revealed that Indian consumers are leading the Asia-Pacific (APAC) region in their expectations for brands to adopt generative AI technologies. The research, which surveyed 402 marketers and 2,000 consumers in India between February and May 2024, found that 81% of Indian consumers anticipate brands to implement generative AI by the end of 2024, the highest percentage in the region 12.

Indian Brands at the Forefront of AI Adoption

The study highlights that Indian brands are at the forefront of embracing generative AI technologies in the APAC region:

  • 66% of Indian brands are already utilizing generative AI
  • An additional 26% are experimenting with it
  • Adoption levels in India surpass those in Australia (44%) and Japan (22%)
  • 70% of Indian marketers view embedding generative AI into customer experiences as an immediate priority 1

Anindita Veluri, Director of Marketing at Adobe India, emphasized the transformative impact of generative AI on consumer expectations, particularly in India, where the demand for hyper-personalized and unified brand experiences is unmatched 2.

Consumer Expectations and Concerns

While Indian consumers are enthusiastic about the potential of generative AI, they also have significant expectations and concerns:

  • 95% of consumers and 98% of marketers agree on the importance of transparency in AI usage and data sources
  • 61% of consumers are concerned about privacy
  • 46% want clarity on how their data is used
  • A majority expect brands to have a clear stance on ethics and bias 1

Affordability and Value Exchange

A notable finding is that 53% of Indian consumers believe generative AI efficiencies should translate into more affordable products and services. This expectation significantly outpaces similar sentiments in Australia (35%) and Japan (36%), highlighting the price sensitivity of the Indian market 12.

Alignment Between Brands and Consumers

The research reveals a positive alignment between marketers and consumers on the perceived value of generative AI:

  • 94% of marketers believe their AI initiatives are delivering value
  • 88% of consumers agree with this assessment
  • 90% of respondents report improved online shopping experiences through features like personalization, convenience, and enhanced customer support 1

Future Applications and Consumer Wishlist

Indian consumers are particularly excited about future applications of generative AI in various sectors:

  1. E-commerce:

    • Designing custom products
    • Suggesting event ideas
    • Summarizing service reviews
    • 91% expressed interest in AI-generated visuals showing them wearing products 12
  2. Travel:

    • Generating price comparisons
    • Personalizing travel options
    • Recommending itineraries
    • Suggesting nearby amenities 1

Challenges and Opportunities for Marketers

While the adoption of generative AI is surging, marketers face several challenges:

  • Implementing the technology responsibly while meeting consumer demands
  • Balancing innovation with transparency and ethical practices
  • Investing in robust AI governance frameworks
  • Ensuring compliance with data privacy laws
  • Addressing ethical concerns and building trust 1

As Indian brands navigate their AI journeys, they have the opportunity to set global benchmarks in AI-driven consumer experiences. The path forward involves striking a delicate balance between innovation and responsibility, with a focus on fostering trust and delivering meaningful, transparent value to consumers 12.

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