[18/06, 1:08 am] ☸️ Danny 心: https://vt.tiktok.com/ZSQsGf9ur/
https://vt.tiktok.com/ZSQ7QjBA2/
Gov.sg
May the prompt be with you.
https://vt.tiktok.com/ZSQ7qgcwt/
Al shrinking jobs in banks.
@HighLevelWithJonathan:Reskilling into what then? That's the question many are struggling with.
@Babe:New jobs in high demand:-
1. AI creator & R&D researchers (Machine language, NLP, LLM, Computer Vision, neural networks, Deep learning, reinforcement learning, AI cybersecurity, Frontier AI etc)
2. AI developers, AI Agentic apps development (Machine language, python programming)
3. AI Agentic users
4. Forward deployed engineer (gather and formulate user requirements into AI development)
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Existing IT professionals jobs:-
1. Cloud professionals
2. Cybersecurity professionals
3. System & Servers IT professionals
4. Network IT professionals
5. Storage, Database IT professionals.
6. Software engineers.
[18/06, 1:09 am] ☸️ Danny 心:
@Babe:1. All AI professionals need to be bilingual:-
a. Possess the AI technical skills.
b. Learn the trade domain - in which AI is to be deployed.
(Eg. If need to AI bank's functions and operations, AI professionals need to know the bank's trade and which aspects of bank operations to AI - in order to reap productivity.
Working with bank users, bank software developers, COO, CTO, CEO - all the C-suite will be critical for success.
Likewise if to AI manufacturing, healthcare, f&b, logistics supply etc - same approach to AI like AI banks).
2. AI users need to be trained in:-
a. Agentic AI develop by AI developers - to reap specific business functions productivity.
b. Use public AI LLM to reap general job productivity.
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@Babe:To illustrate what we can do and what we will be doing in an AI era:-
1. Government
2. Big Enterprise - DBS
@Babe:1. Eg. Government, big public enterprise use AI models, LLM and transformer engine develop by Big Tech but use internal dataset and accessible only by the internal government staff.
At no time, the data set will be leaked to the public.
2. The AI architecture uses air-gapped network and the AI transformer engine and LLM run on internal servers and GPUs, internal clouds and internal datasets.
Permission are granted to internal staff based on strict access control with local content filtering on internal data access.
3. This is like using Microsoft OS, install in servers developed by US companies but network are designed by government IT staff with air-gap, firewall and protected within an intranet not accessible by public. The AI architecture and infrastructure are reserve for use by internal government staff only.
The AI infrastructure are not controlled by few powerful overseas companies but in the sole domain and control of the government AI staff.
Our government AI staff control, manage and maintain the entire AI models, architecture and infrastructure.
This is similar to our control of Microsoft OS, servers and network bought from US companies.
@Babe:2a. DBS full AI solution are using Microsoft Co-Pilot.
But the entire dataset that DBS access is DBS internal banking datasets.
There are no instance of DBS dataset, customer information held by Microsoft.
DBS has full control of its purchase technologies from Microsoft - such as Microsoft AI Co-Pilot, LLM, Microsoft Azure cloud and Microsoft OS.
Microsoft has no visibility into DBS AI architecture.
2b. DBS AI forward deployed AI engineers will work with DBS top management, DBS users and DBS IT software developers to establish and formulate user requirements for development of AI Agentic apps.
2c. DBS AI developers will then either use python programming, machine language, Co-pilot to develop Agentic AI apps to automate DBS business functions, process that access the internal DBS datasets.
Microsoft has 0 visibility into this Agentic AI apps develop by DBS AI developers.
2d. DBS AI developers are merely riding on the Microsoft AI Co-Pilot LLM.
Just like using Microsoft Azure Cloud and Microsoft OS.
2e. Once the AI Agentic apps are developed, DBS users will be trained to use the AI apps that will improve their productivity by leaps and bounds.
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@Babe:So all the following jobs will be needed and useful.
They are also highly paid:-
@Babe:New jobs in high demand:-
1. AI creator & R&D researchers (Machine language, NLP, LLM, Computer Vision, neural networks, Deep learning, reinforcement learning, AI cybersecurity, Frontier AI etc)
2. AI developers, AI Agentic apps development (Machine language, python programming)
3. AI Agentic users
4. Forward deployed engineer (gather and formulate user requirements into AI development)
----
Existing IT professionals jobs:-
1. Cloud professionals
2. Cybersecurity professionals
3. System & Servers IT professionals
4. Network IT professionals
5. Storage, Database IT professionals.
6. Software engineers.
====
@Babe:So the big question is - for most Singapore workers.
Reskill into what?
Most Singapore workers can be categorized as "AI users".
1. AI users need to be trained in:-
a. Agentic AI develop by AI developers - to reap specific business functions productivity.
b. Use public AI LLM to reap general job productivity.
====
@Babe:To summarise:-
1. AI don't make graduates worse off.
2. In fact, new job opportunities are opening up for graduates and workers like what the digital economy and e-commerce are opening up for workers.
3. The key is, do our graduates be able to leverage on AI like we leverage on digital economy, e-commerce, mobile apps in their jobs.
If we do, we thrive else we lose out.
@Babe:1. Previously, if our graduates and workers don't get trained in using internet, mobile apps, computer, smartphone - they can't secure a job.
2. Likewise, if now graduates and workers don't get themselves trained in AI, like how you get trained in digital economy, you won't get your jobs.
Simple analogy.
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@xxxxxx:Model ultimately still comes from that few Big Tech companies. If they decide that the rest of the world can only access models 3-4 generation behind because of national security, what happens then?
@Babe:1. AI is similar to operating system Microsoft, open source Linux, Apple iOS, Google Android.
OS only control by a few US companies and open source.
2. Social media control by Instagram, YouTube, Tik Tok, xiaohongshu, etc - a few US and China companies.
Why no concern?
3. Do you know that Singapore have our own AI R&D researchers or AI creators that can create Al GPT (Generative Pre-Trained Transformer) and LLM (multi-languages LLM trained on many languages datasets for ASEAN countries)?
4. Singapore also got AI R&D researchers and creators working in Singapore top R&D labs creating AI models for government bodies.
5. Singapore also develop many humanoid robots for our own used.
6. Singapore is the 2nd global highest industrial robot adoption just behind South Korea.
Ahead of China, Germany and Japan.
So when are Singapore control by a few overseas companies?
@Babe:The GPT engine and LLM multi-languages for ASEAN that are produced by Singapore AI researchers and AI creators are called SEA-LION.
@Babe:1. Do you know that our 2 Universities are Ivy League grade - global top 8/10 NUS and top 12?
2. These Universities are producing AI R&D researchers and AI creators that can produce GPT (Generative Pre-Trained Transformer), LLM (Large Language Model) from scratch - such as those produced by ChatGpt, Google Gemini, Meta Llama etc.
3. They also able to produce DeepSeek like AI model through Knowledge Distillation.
4. Among the knowledge and subjects that they learn and competence in, including final year projects (that need to produce live GPT and LLM) in undergraduate and postgraduate research or coursework studies are:-
Subjects need to be learned to produce AI models like gpt, LLM, knowledge distillation - Neural networks, Generative Adversarial Network, machine learning, supervised learning, unsupervised learning, deep learning, reinforcement learning, semantics analysis, python programming, computer vision, multi - modal, NLP (Natural Language Programming) etc. etc. etc.
Also need to learn complex math like linear algebra, optimisation, statistics, probability, differentiation, integration etc etc....
5. And many Singapore AI R&D science lab are staff with scholars, graduates, postgraduates from Ivy League in addition to our homegrown produce AI R&D researchers and AI creators.
Who say our AI future are control by a few overseas companies only ????
@Babe:All these are Singapore built humanoid robots.
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@Babe:1. Singaporeans graduates and workers must be "persistent" and "consistent" in their job search.
a. Persistent - refer to unrelenting, unyielding (despite rejection or failure) in applying for jobs on available opportunities, look for and apply for job lead, apply through their Uni job fairs, Government job fairs, internship, e2i, MOM, headhunter, job portals etc - until one get their job.
b. Consistent - refer to consistent searching and applying for jobs without fail - and never be deterred or depress by rejection or failure.
2. Ensure Singaporeans graduates and workers skillsets are relevant and up-to-date and AI-ready - especially business are in the midst of transformation into AI-ready business.
3. If skillsets not up-to-date or not AI-ready, get yourselves trained in the up-to-date skillsets and take AI courses that business are looking for - to ensure workers will be of values to the businesses.
4. Only through such approach, majority of the Singaporeans can get a good pay jobs.
5. For some where the skillsets or AI skills are lacking, or where job applications outcome are not forthcoming - be prepared to :-
a. Join internship - to participate in companies who are willing to train the workers that lack relevant skills - but willing to accept a lower pay.
b. Willing to take lower pay in which companies are willing to take but train on the jobs.
Singaporeans graduates and workers don't need to be "hungry" to secure a job.
Singaporeans graduates and workers only need to be pragmatic in their job search because they are facing:-
a. A more formidable challenge - the rise of AI and the need to get themselves AI-aware, AI-trained.
b. Business transformation - that make some workers' skillsets obsolete - and need to retrain to stay relevant.
c. Losing out to foreigners in job search is only one factor. Even if business don't hire foreigners - business also won't hire Singaporeans if you don't possess the right skillsets or are AI-ready.
@Babe:Also Singaporeans need to be thick skin, and be perseverance in their job search.
Sure will get it one.
Because there are more job vacancies than workers.
@Babe:Source:- Google AI
Singapore’s job market currently has more vacancies than unemployed persons, though the ratio is tightening. Latest data shows there are 73,300 job vacancies compared to a low resident unemployment rate.
However, hiring activity has cooled, with retrenchments rising slightly due to corporate restructuring.
Despite a dip in overall vacancies, a talent shortage persists in several key domains, and certain sectors continue to see strong resident employment growth:
Technology & AI: The AI talent shortage is driving salaries up, with strong demand for roles in machine learning, AI engineering, and data science.
Growth Sectors: Job growth for locals is primarily driven by Administrative & Support Services, Transportation & Storage, and Public Administration.
Manufacturing & Construction: These outward-facing sectors support the bulk of non-resident employment growth, and also see higher vacancy rates for production, transport operators, and labor roles.
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