Author | Lightnews

Bernard Leong

@bernardleong.com

54 followers 11 following 320 posts

CEO and co-founder Dorje AI; Host of Analyse Asia & Augment AI Podcast, Adjunct Associate Professor, NUS Business School & NUS-ISS. Member @NetworkXA Past: AWS & Airbus; Alumni: NUS, Cambridge University & Singularity University, Opinions my own.

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Bernard Leong @bernardleong.com · 11d

Spotify: open.spotify.com/episode/5IiJ...

Mastercard and The Future of Money: Crypto, AI Agents & Digital Payments with Ling Hai

Spotify video

open.spotify.com

Bernard Leong @bernardleong.com · 11d

🎧 Listen to the full episode: “Mastercard and the Future of Money: Crypto, AI Agents & Digital Payments with Ling Hai”

YouTube: youtu.be/WHuHl9vIBVY

Mastercard and The Future of Money: Crypto, AI Agents & Digital Payments with Ling Hai

YouTube video by Analyse Asia

youtu.be

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Bernard Leong @bernardleong.com · 11d

Indeed, having Ling Hai for episode 499, the penultimate episode before the 500th episode is the best way for me to make the next big step for Analyse Asia moving towards the future.

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Bernard Leong @bernardleong.com · 11d

This conversation left me reflecting:
👉 The next era of payments won’t be about cards or crypto — it will be about trusted networks that can scale trust itself.

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Bernard Leong @bernardleong.com · 11d

3️⃣ Agentic AI is rewriting the rules of commerce. When AI agents begin transacting autonomously, we’ll need new guardrails: authentication, tokenization, and chargeback protocols for machine-to-machine trust.

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Bernard Leong @bernardleong.com · 11d

2️⃣ Stablecoins are the bridge, not the revolution. Ling Hai’s perspective reframes stablecoins as another settlement currency — enabling cross-border commerce without displacing traditional finance.

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Bernard Leong @bernardleong.com · 11d

Three key takeaways from our conversation:
1️⃣ Trust is the new currency. In the age of data and AI, Mastercard’s biggest asset isn’t its network — it’s the trust that underpins every transaction. Lose that, and you lose everything.

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Bernard Leong @bernardleong.com · 11d

In a world where payments evolve from physical to digital and soon to agentic, Mastercard’s core doesn’t change — security, integrity, and reliability remain the foundation.

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Bernard Leong @bernardleong.com · 11d

When I sat down with Ling Hai, President of Asia-Pacific, Europe, Middle East & Africa at @Mastercard, one truth stood out clearly: Mastercard is not a card company — it’s a technology company built on trust.

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Bernard Leong @bernardleong.com · 11d

💳 Trust, Stablecoins, and Agentic AI — Inside Mastercard’s Vision for the Future of Money youtu.be/WHuHl9vIBVY

Mastercard and The Future of Money: Crypto, AI Agents & Digital Payments with Ling Hai

YouTube video by Analyse Asia

youtu.be

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Bernard Leong @bernardleong.com · 12d

Christmas is coming and just one night in #Shinjuku #Tokyo #japan

Bernard Leong @bernardleong.com · 13d

RIP CN Yang for your work on Yang Mills theory which sparked our understanding of the fundamental physics www.nytimes.com/2025/10/18/s... #Physics

Chen Ning Yang, Nobel-Winning Physicist, Is Dead at 103

www.nytimes.com

Bernard Leong @bernardleong.com · 14d

The first Japanese female influencer: Murasaki Shikibu statue who wrote the Tale of the Genji in #uji, #kyoto #japantrip2025🇯🇵🌸⛩️. Uji is the land of matcha.

Bernard Leong @bernardleong.com · 14d

The Phoenix Hall in the Byodoin in #uji #kyoto #japantravel #japan - the building is on the 10 yen coin too!

Bernard Leong @bernardleong.com · 15d

Back at Walden Woods cafe in #Kyoto, one of the most zen cafe that I have been to. #Japan

Bernard Leong @bernardleong.com · 16d

Suntory beer has released their non-alcoholic beer to the market. The Japanese brewery is disrupting themselves instead of letting someone else do it. Trying it in #kyoto #japan

Bernard Leong @bernardleong.com · 16d

Walking in the Nishiki market in #kyoto #japan and trying out fresh oysters

Bernard Leong @bernardleong.com · 16d

Mine, mine, all mine: OpenAI wants to own it all on.ft.com/4oir4ci

OpenAI wants to own it all

ChatGPT maker has boundless ambition, but how much can it achieve before suffering a serious case of indigestion?

on.ft.com

Reposted by Bernard Leong

Analyse Asia @analyse.asia · 17d

🌏 Can you build a global company without a physical HQ? The short answer: yes — if you rethink what leadership, culture, and operations really mean. youtu.be/Al0Ii_Or-1w

How to Scale Global Teams Without an Office through Esevel with Deng Yuying

YouTube video by Analyse Asia

youtu.be

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Bernard Leong @bernardleong.com · 29d

AI is not killing jobs, US study finds on.ft.com/4nXodFu

AI is not killing jobs, US study finds

Research shows little evidence that cutting-edge tech such as chatbots is putting people out of work

on.ft.com

Bernard Leong @bernardleong.com · Oct 1

Reference: "AI-Generated “Workslop” Is Destroying Productivity", Harvard Business Review (Need Subscription) hbr.org/2025/09/ai-g...

#workslop #generativeAI #enterpriseAI

AI-Generated “Workslop” Is Destroying Productivity

Despite a surge in generative AI use across workplaces, most companies are seeing little measurable ROI. One possible reason is because AI tools are being used to produce “workslop”—content that appea...

hbr.org

Bernard Leong @bernardleong.com · Oct 1

If your team still spends more time editing AI drafts than ideating new value — you haven’t optimized AI, you’ve institutionalized workslop.

Bernard Leong @bernardleong.com · Oct 1

We tend to frame AI issues as “my draft was bad” or “it hallucinated,” but the deeper danger is systemic diffusion of low-signal content that drags everyone’s baseline upward to compensate.

Bernard Leong @bernardleong.com · Oct 1

When poorly generated AI content travels across teams or “downstream,” the cost shifts: recipients absorb the cleanup, reinterpretation, and rework. In effect, workslop is a tax on your colleagues’ focus and cognitive bandwidth.

Bernard Leong @bernardleong.com · Oct 1

Interesting Data Points (Refs: Workplace Insight, Axios, Slashdot and etc):
1/ ~40% of employees report having received workslop in the past month.
2/ Recipients spend on average ~1 hour 56 minutes to fix each instance.
3/ It damages trust: many rate senders as less creative, capable or reliable.