Is India Leading AI Bot Activity in APAC, Outpacing Japan and China?
Synopsis
Discover how India leads the Asia-Pacific in AI bot activity with a staggering 300% increase in automated traffic! This report sheds light on the implications for various industries, revealing the struggle against malicious bots and the urgent need for robust cybersecurity measures.
Key Takeaways
India is the leader in AI bot activity within the APAC region.
300% increase in global automated traffic has been observed.
3.2 billion triggers generated by AI bots in India.
Content scraping is a major concern affecting traditional business models.
63% of AI bot triggers are coming from the digital media industry.
New Delhi, Nov 5 (NationPress) India has emerged as the foremost nation in the Asia-Pacific region regarding AI bot activity, according to a recent report. Over the past year, automated traffic globally has surged by an astonishing 300 percent.
AI bots in India have triggered a staggering 3.2 billion requests, marking the country as the most targeted in APAC, followed closely by Japan and China, as per findings from cybersecurity and cloud computing firm Akamai Technologies.
The report highlighted a troubling increase in automated traffic, predominantly driven by AI bots that are targeting various industries' websites.
These bots generate billions of requests, causing significant disruption to digital operations and analytics, accounting for nearly 1 percent of total bot traffic on Akamai’s platform.
The increase is primarily attributed to content scraping, which jeopardizes traditional business models, publisher analytics, and advertising revenues.
As bot traffic escalates, publishers and content-centric businesses are experiencing distorted analytics and declining ad revenues due to bots extracting value without reciprocating.
Moreover, the rapid expansion of AI-enabled tools has simplified the process for both seasoned threat professionals and novice malicious actors to conduct impersonation attacks, engage in social engineering, distribute phishing schemes, and commit identity fraud using AI-generated fake documents and images.
Additionally, harmful bots like FraudGPT, WormGPT, ad fraud bots, and return fraud bots are inflating costs, impairing site performance, and skewing vital metrics.
Furthermore, the global report indicated that the commerce sector is at the forefront of AI bot activity, recording over 25 billion bot requests within a two-month observation window.
However, the digital media industry has faced the most significant impact, with 63 percent of AI bot triggers originating from this sector.
In the healthcare domain, more than 90 percent of AI bot triggers are linked to scraping activities, predominantly by search and training bots, the report stated.
Point of View
It is crucial to acknowledge India's leadership in the domain of AI bot activity. The remarkable growth in automated traffic poses challenges for digital businesses, necessitating a proactive approach to safeguard against malicious bots. While this surge reflects technological advancement, it also highlights the pressing need for enhanced cybersecurity measures to protect our digital ecosystems.
NationPress
9 May 2026
Frequently Asked Questions
What is the primary cause of AI bot activity in India?
AI bot activity in India is primarily driven by content scraping, which undermines traditional business models and affects publisher analytics.
How has the healthcare sector been impacted by AI bots?
The healthcare sector has seen over 90% of AI bot triggers stemming from scraping, largely by search and training bots.
What percentage of total bot traffic does AI bot activity account for?
AI bot activity accounts for nearly 1% of total bot traffic on Akamai’s platform.
Which industry is most affected by AI bot activity?
The digital media industry is most significantly impacted, representing 63% of AI bot triggers.
What are some examples of malicious bots?
Examples of malicious bots include FraudGPT, WormGPT, ad fraud bots, and return fraud bots, all of which contribute to increased costs and degraded site performance.
