How Risky is GenAI?

Security is the moot point. The risks associated with Generative Al are significant and will constantly evolve.

- Raju Chellam

How risky can GenAI be?

That’s a tough cookie, you see.

Use it for PR or marketing, Not hacking or jailbreaking, Else, end up in jail or flee.

If that limerick made you blink, these statistics should make you think: The Asia-Pacific region (including China, India, and Japan) will invest US$78.4 billion on AI by 2027—compared with US$24.8 billion in 2022— growing at a 25.5% annual clip. That estimate from IDC (International Data Corporation) includes hardware, software, and services.

IDC says the increase in AI spending reflects a shift towards leveraging innovative tech, including GenAI (Generative AI), to help operations, boost customer experiences, and boost competitive edge.

“GenAI has gained a huge momentum,” says Vinayaka Venkatesh, IDC’s senior market analyst for the Asia-Pacific. “Most organizations in the region have already started investing in GenAI or are navigating its potential. Some key challenges while exploring GenAI include trustworthiness, privacy, security, copyrights, and finding a suitable business partner. However, these hurdles can be overcome as the technology matures.”

As for the Indo-Pacific region outside of Japan and China, AI adoption is led by India, Australia, and South Korea. This sub-region will account for 34% of Asia-Pacific’s AI spend and is set to grow at a 26.8% annual clip to cross US$28.2 billion by 2027. Japan is the third-highest investing region in AI solutions, with US$12 billion in investments expected by 2027. Japanese companies use GenAI to boost productivity, quality control, risk management and customer experiences.

MOOT POINT