AI Statistics
The numbers behind the AI shift
Curated data points and infographics on how organizations are adopting generative AI across functions.

The use of Generative AI is going beyond cost reduction towards an increase in value offerings.
As Artificial Intelligence evolves, we see the functionalities and use-cases diverge across high-performers and all other AI-users.
Source: The State of AI, McKinsey Global Survey, April 2023

4 priorities for organizations trying to mitigate the risk of Generative AI:
Inaccuracy, Cybersecurity, Compliance and IP infringement. Amidst evolving risks, decision-makers are being compelled to pivot their strategies for responsible adoption of AI.

Marketers spend most of their workweek trying to create content
Imagine how much time could be freed up if marketers utilized AI content generation tools instead of doing it manually?

Where is Generative AI Being Used the Most?
It is Still Early Days, but Marketing and Sales Lead with Adoption of Generative AI Tools.

Reported Exposure to Generative AI Tools
Between 74% and 83% of mid-level and senior managers have tried at least one Generative AI tool, with Greater China leading the way.

Virtual Influencers are turning the page on Human Influencers with higher engagement rates.
This could be a seismic shift in the future of Influencer Marketing or could be a fad. However, with AI also finding its foothold in this category, brands are realising that they might need to diversify their strategy towards the virtual world.

84% of podcasters believe it's ethical to use ChatGPT or AI to create podcast content.
Podcasting is opening up to the world of AI, with creators seeing the potential benefits in faster and consistent content creation.
