AI has reached a stage where the question is no longer whether we should adopt it, but how we can create real business value from it. My biggest takeaway is that while many companies have experimented with AI, only a small % have successfully integrated it into their core operations. The real challenge is turning AI into measurable business results.

I also found the discussion on the three AI risks particularly insightful. Moving too slowly could leave a business behind, while rushing in without a clear strategy could waste resources. Doing nothing, however, may be the biggest risk of all. AI adoption needs a clear roadmap and measurable objectives, not just hype.

From an investment perspective, I appreciated the focus on the SGX AI value chain instead of chasing only the biggest AI names. Investing in the companies enabling AI through infrastructure & services offers another way to benefit from this long-term transformation.

@TBlive @TigerClub @TigerStars @Tiger_comments

Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

Report

Comment2

  • Top
  • Latest