Ori Sasson: AI Job Replacement & The Future of Work - E702
episode
BRAVE Southeast Asia Tech: Singapore, Indonesia, Vietnam, Philippines, Thailand & Malaysia Startups, Founders & Venture Capital VC (English)
45 min
2 speakers
8 chapters
transcribed 14 days ago
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Transcript generated automatically by AI and may contain errors.
What does the “Hollywoodization” of the workplace mean for employees?
Hollywoodization of the workplace. The star gets a huge amount of money, a huge prize, a huge compensation. The extras were getting very little. Now they're not even there anymore. I thought a bit naively, I said, okay, let's double the headcount, give everybody AI, the whole thing will be ten times more productive, we're ready to conquer the world. And what I discovered is, Tony Robbins, which is to say, is everything in business is 80 20% psychology, 20% skill. But when I look at it today with the AI, it suddenly becomes 99% psychology, 1% skill. Welcome.
Welcome to Brave. Learn from Southeast Asia's best tech leaders. Build the future, learn from our past, and stay human in between. No BS on Success. I'm Jeremy O, Venture Capitalist, Sarah founder, Harvard MBA, science fiction nerd, and dad of two daughters. Every week we debate startup news, interview change makers, answer Listener questions and share personal insights. Join our movement of over 40,000 members and get transcripts, resources, and community at www.bravesdea.com. Stay well and stay brave. Hey Aurri. Excited to have you on the show. Excited to be here. You have been thinking a lot about job replacement, especially from an employer perspective. I think that's such an important view because I think as consumers we're using Chat GPT, Gemini, whatever it is.
And obviously there's a lot of conversation about what government should do. But I think the employer perspective is really interesting. So before we jump into the topic, could you introduce yourself?
Sure. So my name is Ori Ori Sasson. I have a company in Singapore which is a software development or product development company. And what we deal with is primarily systems for government, for intelligence investigation. I have a couple of other companies which is co-founded with my wife, which are a special needs private school and a therapy center, which kind of gives me maybe a wider vantage point on different roads and how this thing Unfold.
This is such a hot topic right now, which is obviously productivity, but also touches about education and it also touches upon on policy as well. So lots to uncover. But I think when we first connected we started talking about jobs, right? And what's gonna happen to them. So Aurri, from your perspective, w what's happening to jobs and AI?
Right.
Which jobs (blue‑collar vs. white‑collar) are most at risk of AI replacement?
So I think it depends on the kind of job, right? So you have jobs which are totally unaffected. If somebody is a truck driver, even those people say the AI is gonna come for that, we don't see that really happening. But also jobs like nurses, teachers in school, let's say therapists, and many, many other professions which are more hands-on in a way and they cannot be replaced as easily. They could be supported, augmented. You can have some edge cases. Let's see if you need a plumber, you can say, look, I'll take a photo and ask ChatGPT. Maybe you will get the answer, maybe you'll get a flooding. But you know, some jobs will be a bit affected. But basically, I feel like the blue-collar jobs obviously are a bit more resistant to this.
So, what I feel is the main thing that is happening is that the adoption rate is different for different companies. So, if you look at startups in Silicon Valley, let's say, then you see the adoption. Is much faster the closer to the source of this whole development, the change. So for them, you see these trends of people saying, Oh, I have a solo founder or three-team founder, no funding, we can build a lot of things because suddenly they unblock this barrier of needing capital to hire an army of developers to do something which you can quickly do yourself. So I think in the space of coding and Associated tasks like product management design and so on, all of these are being compressed a bit. It doesn't mean that demand is disappearing.
So I can get back to that in a minute. But so these domains are the fastest affected. In other areas, we can see there is an impact, but it's slower, but you see it slowly building up. And then I think the key thing is that the gap here is a knowledge gap between the companies that know how this technology is.
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Chapters
8 chapters
1
What does the “Hollywoodization” of the workplace mean for employees?
0:00–2:23
2
Which jobs (blue‑collar vs. white‑collar) are most at risk of AI replacement?
2:23–5:26
3
How are Meta’s layoffs and the idea of a “10× employee” reshaping productivity expectations?
5:26–9:02
4
What is the AI “verification tax” and how does it affect software development?
9:02–11:31
5
Why is the product manager becoming an “LLM wrapper” in AI‑native companies?
11:31–17:35
6
How does “shadow AI” create massive productivity gains and what are its risks?
17:35–28:42
7
What policies is Singapore introducing to support AI adoption and upskilling?
28:42–34:02
8
Could a national AI subscription be a viable solution for the whole economy?
34:02–45:21
Speakers
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