Live Recap 1: From AI Hype to AI Reality — Why 80% of Organisations Are Stuck at the Pilot Stage
1.Live Review Introduction
Tiger Brokers livestream hosted by Esther, featuring Kenny Tay, CEO of the Singapore AI Association (SAIA) and Founder of AI49 International Group, and Kenny Loh, Wealth Advisory Director, S-REIT specialist and SGX Academy trainer. Together, they bridged the gap between AI hype and AI impact — what AI really means for business and careers, and how to invest in the AI theme through SGX.
Disclaimer: This session has not been reviewed by the Monetary Authority of Singapore. All views expressed are those of the speakers and not of Tiger Brokers or its affiliates. Today's session is strictly for education and discussion purposes and does not constitute financial advice.
Want to see more of the livestream recap? Check it out here>>
2.From "Should We Adopt AI?" to "How Do We Create Impact?"
For the past two years, AI has been the most discussed technology everywhere from boardrooms to coffee shops, with everyone asking the same questions: should we adopt AI, will it replace jobs, are we moving fast — or too fast? Kenny Tay reframed the real question for 2026: it's no longer whether to use AI, but how to create real impact from it. History won't remember who merely experimented with AI — it will remember who transformed their business with it.
3.Another Industrial Revolution, But Different This Time
Steam replaced muscle power, electricity transformed manufacturing, the internet changed communication, and mobile changed behaviour. AI marks a new inflection point because it is the first technology in history capable of replicating forms of human intelligence itself — writing, analysing, reasoning, and creating. That makes AI less a new tool and more a shift in the nature of work itself.
4.The Adoption Gap: Why 80% Are Still Just Experimenting
Over the past two to three years, companies have rushed to buy AI solutions, employees have adopted tools like ChatGPT, and investors have poured billions into AI startups. But implementing AI to capture real business value has proven far harder than experimenting with it. Roughly 80% of organisations remain stuck experimenting, while only about 20% have moved to scaling AI successfully — many are trapped in pilot purgatory, running workshops and proof-of-concepts without achieving measurable productivity gains, process transformation, or clear ROI. The gap, Kenny Tay noted, isn't technological — it's leadership, culture, and capability.
5.Every Profession Is Being Reshaped, Not Replaced
The future of work isn't years away — it's happening now. Marketing is becoming AI-assisted, customer service AI-powered, HR AI-enabled, and software development increasingly AI-generated. Rather than humans versus AI, the shift is toward humans managing teams of AI colleagues — an AI research assistant, data analyst, customer service agent, and content creator each augmenting a worker's output. A five-person SME, equipped well, can effectively operate with the output of ten or fifteen. That expanded capability raises the bar on governance: as productivity rises, so do expectations.
6.Jobs Will Change, Not Simply Disappear
Kenny Tay pushed back on pure job-displacement fears. Historically, technology has always reshaped jobs while creating entirely new industries, and AI will do the same: some tasks disappear (repetitive data entry, basic report generation, rule-based decisions), many more get redesigned (analysis, customer service, and creative work augmented by AI), and entirely new roles emerge — AI trainers, AI governance specialists, AI auditors, prompt engineers, and human-AI workflow designers. The real challenge isn't job elimination; it's workforce transition.
7.Three Risks Every Business Faces Today
Kenny Tay laid out three risks worth watching closely:
-
Moving too slowly: falling behind as competitors — locally, regionally, and globally — become more productive.
-
Moving too quickly: implementing AI without governance or strategy, which creates waste rather than value.
-
Doing nothing: arguably the biggest risk of all, since AI adoption is fast becoming a competitive necessity rather than an option.
Closing Takeaway
The AI story in 2026 isn't about hype anymore — it's about which organisations can convert experimentation into real, measurable transformation. Next, the five capabilities every organisation needs to close that gap, and how human skills become more valuable, not less, as AI matures.
8.Risk Reminder
This content is shared for general education and discussion purposes only. It does not constitute financial, investment, or professional advice, and views expressed are those of the speakers, not Tiger Brokers.
9.Post-Event Resources
Viewers can follow Kenny Tay on LinkedIn (linkedin.com/in/kenny-tay-2b86471a0) or visit the Singapore AI Association (SAIA) website for more on AI adoption programmes. The full livestream replay is available on the Tiger Trade app.
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.
