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AI Career Guide: Land Your Next Job with Our AI Playbook

Discover how to leverage AI for your career success. Our AI career guide offers tips on CV writing and interview preparation.

Published

4 weeks ago

April 10, 2025

AIinAsia

AI transforms every step of your job hunt.
From CV writing to interview prep—turning a stressful, uncertain process into strategic clarity.
While AI won’t directly secure you a job, it will significantly boost your chances.

Welcome to Your AI Career Playbook.

Introduction: Making AI Your Personal Career Coach

Let’s be honest: finding a great job in Singapore—or anywhere in Asia—is no cakewalk. The market moves quickly, employers want more specialised skills than ever, and getting your CV past automated scanners feels like navigating a digital minefield.

What if you had an always-on career advisor that could help you write perfect applications, prep you for interviews, and even help you network? It’s not a fantasy—it’s artificial intelligence. AI tools are now sophisticated enough to give you the career edge you need. By the end of this guide, you’ll have a clear playbook for harnessing AI to land your next big role.

Let’s dive in!

Can AI Actually Land You Your Next Job—or is That Just Hype?

Let’s get real: AI isn’t about replacing your effort, but about amplifying your abilities. With AI, you can:

Craft a customised, keyword-rich CV that sails through Applicant Tracking Systems (ATS).
Optimise your LinkedIn profile instantly for maximum visibility.
Identify emerging AI-driven job roles and skills employers actually care about.
Anticipate and ace your interviews using AI-generated questions and answers.

AI doesn’t just automate tedious tasks; it empowers you to compete smarter, especially in competitive markets like Singapore, Jakarta, or Hong Kong.

AI-Powered Career Prep: Step-by-Step Playbook

Here’s a comprehensive guide to turbocharging your career search using AI, including practical examples, recommended tools, and easy-to-use prompts.

Step 1: Crafting an Irresistible CV with AI

Your CV typically has less than 10 seconds to impress a recruiter. It must pass through Applicant Tracking Systems (ATS) before it ever reaches human eyes. AI tools can optimise your CV to ensure it’s keyword-rich, tailored precisely to each role, and visually appealing.

AI Tools to Use:

ChatGPT (OpenAI) – powerful generative AI for rewriting CVs.
Kickresume AI – professional CV builder with AI-driven wording suggestions.
TealHQ – provides ATS-friendly formatting and skill recommendations.

How to Use These Tools:

Input your current CV.
Use targeted prompts to optimise content.

Prompt Examples:

Rewrite my CV to highlight experience in AI-driven marketing analytics for a senior digital strategist role at DBS Bank in Singapore.
Optimise my CV for ATS, targeting a software engineering position specialising in AI at Grab.

Spend time refining outputs; personalisation is essential.

Step 2: Supercharging Your LinkedIn Profile with AI

LinkedIn is your professional showcase. Recruiters across Asia heavily rely on LinkedIn to discover and vet candidates. AI tools can instantly elevate your profile, making it searchable, engaging, and compelling.

AI Tools to Use:

Taplio – LinkedIn profile optimiser powered by AI.
LinkedIn’s built-in AI assistant – available in LinkedIn Premium for profile enhancement.
Jasper.ai – excellent for creating engaging summaries and posts.

Prompts to Try:

Write a compelling LinkedIn headline showcasing my expertise in AI-driven fintech analytics for a managerial role in Singapore.
Create an engaging LinkedIn ‘About’ section focusing on my success using AI to drive digital transformation in APAC.

Make sure your profile authentically reflects you while leveraging AI-generated enhancements for maximum impact.

Step 3: AI-Driven Job Hunting: Find Perfect Roles Faster

Stop endlessly scrolling through vague job ads. AI can streamline the job search, filtering through thousands of postings and pinpointing roles perfectly matched to your skills.

AI Tools to Use:

Jobscan – matches your CV with suitable job listings.
HireEZ – AI-based job discovery tool.

Google’s Gemini – summarise key job requirements rapidly.

Effective Prompts:

Find and summarise 5 recent AI-related digital marketing job openings in Singapore that match my profile.

What are three critical skills needed for a senior data analyst role at Shopee based on recent job postings?

Use these AI tools weekly to ensure you’re always applying to roles most aligned with your skills.

Step 4: Effortless Networking Using AI

Networking remains essential, especially in relationship-focused business cultures like Singapore and Hong Kong. AI takes away the awkwardness, helping you craft concise, professional messages instantly.

AI Tools to Use:

Crystal – personality-driven messaging based on recipients’ LinkedIn profiles.
Lavender.ai – powerful for writing persuasive cold emails.
GrammarlyGO – ensures your messages are polished and professional.

Prompt Ideas:

Draft a LinkedIn connection message for the Head of AI at SQREEM Technologies, highlighting my interest in AI-driven advertising solutions.

Compose a brief, engaging introductory email to the talent acquisition manager at TotallyAwesome, mentioning my expertise in digital marketing for youth brands.

Leverage these messages for immediate relationship-building impact.

Step 5: Acing Interviews with AI-Powered Preparation

AI tools can simulate real-world interviews, predicting specific questions and generating strong, persuasive answers, greatly increasing your interview confidence.

AI Tools to Use:

ChatGPT – instantly creates practice questions and tailored responses.

Example Prompts:

List 10 likely interview questions for an AI product management role at Carousell, including challenging technical questions.

Suggest impactful answers for behavioural interview questions for a senior analytics role at Lazada.

How to Use These Tools:

Input the job description and your CV.
Practise with AI-generated questions and refine your answers.

Example Prompt:

List 10 likely interview questions for an AI product management role at Carousell.

Regular AI-driven interview rehearsals build the confidence you’ll need on interview day.

Step 6: AI-Assisted Salary Negotiation

Negotiating your salary can be uncomfortable—but essential for your financial growth. AI can provide you with the insights, confidence, and language to secure the best possible offer without feeling awkward.

AI Tools to Use:

Payscale – Uses AI-driven data to show accurate salary benchmarks.
Levels.fyi – AI-backed salary comparisons across tech roles globally.
ChatGPT – Assists with crafting persuasive negotiation dialogues.

How to Use These Tools:

Check salary ranges based on role, location, and experience.
Prepare negotiation talking points with AI-generated prompts.

Prompt Examples:

Suggest three effective negotiation arguments to present to my employer for an AI Product Manager position in Singapore, considering current market salaries.

Write a polite but firm salary negotiation email asking for a 15% increase based on market research and my experience in AI analytics.

This ensures you approach negotiations informed, confident, and professionally.

Step 7: Perfect Follow-Up Emails Using AI

A timely, thoughtful follow-up email can significantly impact hiring decisions. AI helps craft follow-ups that reinforce your suitability without sounding desperate.

AI Tools to Use:

GrammarlyGO – refines your professional tone.

Prompt Example:

Write a professional, concise follow-up email thanking the interviewer from DBS Bank Singapore, reiterating my strong interest and qualifications for the AI analyst position.

Send promptly post-interview to leave a memorable impression.

Step 8: AI-Enhanced Skills Development and Certification

Continual skill development is vital to stay competitive, especially in AI-centric roles. AI-driven platforms help you identify skill gaps and recommend tailored courses to keep your expertise sharp and attractive to employers.

AI Tools to Use:

Coursera Skillsets – Personalised AI-based learning path recommendations.
LinkedIn Learning – AI-driven recommendations based on your professional profile.

How to Use These Tools:

Provide your career interests and existing skills.
Receive personalised course recommendations to bridge gaps effectively.

Prompt Examples:

Suggest 3 online certifications or short courses that will significantly enhance my profile for a career as an AI-driven data analyst in Singapore.

Identify 5 trending AI-related skills I should learn in 2025 to be highly competitive in the fintech sector.

Consistent skill updates significantly enhance your marketability.

Step 9: Using AI to Monitor Your Professional Brand

Your personal brand matters—especially when employers frequently vet online profiles. AI tools proactively monitor your digital footprint, ensuring your online reputation supports your professional goals.

AI Tools to Use:

BrandYourself – AI-driven online reputation management.
Mention.com – Monitors your digital presence and mentions using AI.
Google Alerts – AI-enhanced alerts about new online mentions.

How to Use These Tools:

Set up AI-driven alerts for your name, profession, and industry keywords.
Regularly review insights to maintain or enhance your professional online image.

Prompt Examples:

How can I optimise my online professional presence to appeal to recruiters in AI-driven roles in Singapore?

Suggest effective strategies to build a strong online reputation as an expert in AI analytics.

An AI-supported professional brand ensures you stay attractive to prospective employers.

Step 10: AI-Powered Job Application Tracking and Organisation

Keeping track of multiple job applications can quickly become overwhelming. AI-powered organisational tools streamline and manage this complexity, giving you clear visibility at every stage of your job hunt.

AI Tools to Use:

Huntr – Tracks your job application pipeline with AI insights.
Notion AI – Customisable database and AI-powered task management.

How to Use These Tools:

Enter job details, deadlines, and application status into your chosen tool.
Use automated reminders to follow up on applications and interviews.

Prompt Examples:

Provide a clear workflow for organising job applications and interview follow-ups using Notion AI.

Recommend the best ways to stay organised and effective while managing multiple job applications simultaneously.

Organisation is crucial—let AI keep your job hunt stress-free and systematic.

Step 11: AI-Enhanced Mental Wellbeing During Your Job Hunt

Job hunting is stressful. Maintaining your mental health is critical to your productivity and confidence. AI-based wellness apps provide personalised strategies to help manage stress effectively during your career transition.

AI Tools to Use:

Headspace (AI-driven wellness plans) – Personalised meditation and mindfulness guidance.
Wysa – AI chatbot providing emotional support and stress management.

How to Use These Tools:

Regularly engage with AI-driven mental wellness apps.
Practise stress management techniques specifically designed for career transitions.

Prompt Examples:

Suggest effective strategies for managing job-hunting anxiety, particularly related to AI and tech career transitions.

What are daily habits I can implement using AI-driven tools to maintain positivity during an extended job search?

Maintaining your mental wellbeing boosts your overall effectiveness and resilience.

Step 12: AI-Powered Career Pivot Planning

Considering a career pivot? AI can assist you by identifying transferable skills, suggesting appropriate new career paths, and crafting narratives that effectively communicate your value to recruiters.

AI Tools to Use:

CareerExplorer – AI-driven insights to match your skills to new career options.
FutureFit.AI – Career-pivot-focused AI insights.

How to Use These Tools:

Enter your current experience, interests, and skills.
Review AI-generated career pivot recommendations and plan next steps.

Prompt Examples:

Identify three alternative career paths suitable for someone with extensive marketing experience transitioning into AI-centric roles.

Write a persuasive personal statement for my CV explaining a career pivot from traditional banking to fintech and AI analytics.

AI can help make career transitions smoother, clearer, and more achievable.

Bonus Steps

1. AI-Powered Portfolio and Project Showcases

Candidates increasingly require impressive online portfolios—especially crucial for creative, tech, or analytical roles.
Tools:
Canva AI (design-focused portfolios)

2. AI-Enhanced Video Interviewing

Many companies now rely on AI-driven video interviews. Your readers should prepare specifically for this format.
Tools:
HireVue (AI-powered video interview practice)

3. AI-Driven Cover Letter Crafting

Despite modern scepticism, cover letters still matter—especially for senior roles or competitive companies.
Tools:
ChatGPT (custom letter generation)

5 AI Mistakes to Avoid in Your Job Hunt

AI is powerful—but watch out for these pitfalls:

Overreliance on AI: Always personalise AI-generated content.
Ignoring Cultural Context: Ensure your prompts consider Asia-specific nuances.
Copy-Paste Syndrome: Adapt AI outputs rather than copying verbatim.
Privacy Negligence: Avoid sharing personal data with unsecured AI services.
Accuracy Oversights: Always fact-check AI suggestions.

So, can AI actually land you your next job—or is that just hype?

The reality is nuanced. AI itself doesn’t offer job contracts—but it dramatically enhances every step of your job-seeking process. From perfecting your CV to providing negotiation insights, AI maximises your chances of landing your ideal role.

Take Action & Share Your Experience:

Have you tried these steps or prompts? Which AI tools worked best for you? Share your experience below—we’d love to hear your AI-powered job success stories!

Good luck, and happy AI-powered job hunting!

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Geoffrey Hinton’s AI Wake-Up Call — Are We Raising a Killer Cub?

The “Godfather of AI” Geoffrey Hinton’s warning that humans may lose control — and slams tech giants for downplaying the risks.

Published

22 hours ago

May 5, 2025

AIinAsia

TL;DR — What You Need to Know

Geoffrey Hinton warns there’s up to a 20% chance AI could take control from humans.
He believes big tech is ignoring safety while racing ahead for profit.
Hinton says we’re playing with a “tiger cub” that could one day kill us — and most people still don’t get it.

Geoffrey Hinton’s AI warning

Geoffrey Hinton doesn’t do clickbait. But when the “Godfather of AI” says we might lose control of artificial intelligence, it’s worth sitting up and listening.

Hinton, who helped lay the groundwork for modern neural networks back in the 1980s, has always been something of a reluctant prophet. He’s no AI doomer by default — in fact, he sees huge promise in using AI to improve medicine, education, and even tackle climate change. But recently, he’s been sounding more like a man trying to shout over the noise of unchecked hype.

And he’s not mincing his words:

“We are like somebody who has this really cute tiger cub,” he told CBS. “Unless you can be very sure that it’s not gonna want to kill you when it’s grown up, you should worry.”
Geoffrey Hinton’, the “Godfather of AI”
Tweet

That tiger cub? It’s AI.
And Hinton estimates there’s a 10–20% chance that AI systems could eventually wrest control from human hands. Think about that. If your doctor said you had a 20% chance of a fatal allergic reaction, would you still eat the peanuts?

What really stings is Hinton’s frustration with the companies leading the AI charge — including Google, where he used to work. He’s accused big players of lobbying for less regulation, not more, all while paying lip service to the idea of safety.

“There’s hardly any regulation as it is,” he says. “But they want less.”
Geoffrey Hinton’, the “Godfather of AI”
Tweet

It gets worse. According to Hinton, companies should be putting about a third of their computing power into safety research. Right now, it’s barely a fraction. When CBS asked OpenAI, Google, and X.AI how much compute they actually allocate to safety, none of them answered the question. Big on ambition, light on transparency.

This raises real questions about who gets to steer the AI ship — and whether anyone is even holding the wheel.

Hinton isn’t alone in his concerns. Tech leaders from Sundar Pichai to Elon Musk have all raised red flags about AI’s trajectory. But here’s the uncomfortable truth: while the industry is good at talking safety, it’s not so great at building it into its business model.

So the man who once helped AI learn to finish your sentence is now trying to finish his own — warning the world before it’s too late.

Over to YOU!

Are we training the tools that will one day outgrow us — or are we just too dazzled by the profits to care?

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You can learn more about Geoffrey Hinton at Wikipedia by tapping here.

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The End of the Like Button? How AI Is Rewriting What We Want

As AI begins to predict, manipulate, and even replace our social media likes, the humble like button may be on the brink of extinction. Is human preference still part of the loop?

Published

2 days ago

May 4, 2025

AIinAsia

TL;DR — What You Should Know:

Social media “likes” are now fuelling the next generation of AI training data—but AI might no longer need them.
From AI-generated influencers to personalised chatbots, we’re entering a world where both creators and fans could be artificial.
As bots start liking bots, the question isn’t just what we like—but who is doing the liking.

AI Is Using Your Likes to Get Inside Your Head

AI isn’t just learning from your likes—it’s predicting them, shaping them, and maybe soon, replacing them entirely. What is the future of the Like button?

Let’s be honest—most of us have tapped a little heart, thumbs-up, or star without thinking twice. But Max Levchin (yes, that Max—from PayPal and Affirm) thinks those tiny acts of approval are a goldmine. Not just for advertisers, but for the future of artificial intelligence itself.

Levchin sees the “like” as more than a metric—it’s behavioural feedback at scale. And for AI systems that need to align with human judgement, not just game a reward system, those likes might be the shortcut to smarter, more human-like decisions. Training AIs with:

“reinforcement learning from human feedback”
Max Levchin
Tweet

(RLHF) is notoriously expensive and slow—so why not just harvest what people are already doing online?

But here’s the twist: while AI learns from our likes, it’s also starting to predict them—maybe better than we can ourselves.

In 2024, Meta used AI to tweak how it serves Reels, leading to longer watch times. YouTube’s Steve Chen even wonders whether the like button will become redundant when AI can already tell what you want to watch next—before you even realise it.

Still, that simple button might have some life left in it. Why? Because sometimes, your preferences shift fast—like watching cartoons one minute because your kids stole your phone. And there’s also its hidden superpower: linking viewers, creators, and advertisers in one frictionless tap.

But this new AI-fuelled ecosystem is getting… stranger.

Meet Aitana Lopez: a Spanish influencer with 310,000 followers and a brand deal with Victoria’s Secret. She’s photogenic, popular—and not real. She’s a virtual influencer built by an agency that got tired of dealing with humans.

And it doesn’t stop there. AI bots are now generating content, consuming it, and liking it—in a bizarre self-sustaining loop. With tools like CarynAI (yes, a virtual girlfriend chatbot charging $1/minute), we’re looking at a future where many of our online relationships, interests, and interactions may be… synthetic.

Which raises some uneasy questions. Who’s really liking what? Is that viral post authentic—or engineered? Can you trust that flattering comment—or is it just algorithmic flattery?

As more of our online world becomes artificially generated and manipulated, platforms may need new tools to help users tell real from fake. Not just in terms of what they’re liking — but who is behind it.

Over to YOU:
If future of the like button is that AI knows what you like before you do, can you still call it your choice?

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AI Just Slid Into Your DMs: ChatGPT and Perplexity Are Now on WhatsApp

ChatGPT and Perplexity AI are now on WhatsApp, offering instant AI chat—but their privacy trade-offs may surprise you.

Published

3 days ago

May 3, 2025

AIinAsia

TL;DR — What You Need to Know

ChatGPT and Perplexity AI are now available on WhatsApp; add their numbers to start chatting like any other contact.
Perplexity’s CEO has signalled plans to monetise user data, raising clear privacy concerns.
AI is now embedded in your messaging habits — convenient, but potentially costly in terms of control.

AI Assistants Are Now Just a Message Away — But Not All Come Without Strings Attached

In a move that brings AI one step closer to your daily digital routine, both ChatGPT and Perplexity AI are now officially available inside WhatsApp. It’s the kind of integration that feels obvious—why wouldn’t you want intelligent assistance inside your messaging app? But as this shift blurs the line between private chats and persistent AI surveillance, the rollout isn’t without controversy.

Let’s unpack what’s new, how to use these tools, and why this seemingly helpful update deserves a closer look—especially if you care about your data.

How to Chat with ChatGPT or Perplexity on WhatsApp

If you’ve ever wanted to casually message ChatGPT as if it were just another friend, it’s now entirely possible. Here’s how:

To talk to ChatGPT, add +1 (800) 242-8478 to your WhatsApp contacts.
To use Perplexity AI, add +1 (833) 436-3285.

Once added, you can ask questions, generate summaries, search with sources, and even request image edits or creations—right from within a familiar chat window.

This isn’t a new app or integration through a web wrapper. These bots appear in your WhatsApp chat list, just like any contact. The interface feels native, frictionless, and a little too comfortable.

So What Can They Actually Do?

The functionality varies slightly between the two AIs, but both are impressively capable inside WhatsApp:

✅ ChatGPT

Powered by OpenAI (most likely GPT-4-turbo depending on the provider setup)
Offers intelligent conversation, summarisation, translation, code help, and more
Integrates image generation where supported
Responses are typically fast, contextual, and conversational

✅ Perplexity AI

Designed around answering questions with cited sources
Can generate images based on prompts and photos you upload
Leans into search-style responses, useful for research, fact-checking, and recommendations
Their team has teased more features coming soon, including multi-modal capabilities

In a launch video shared on X, Perplexity CEO Aravind Srinivas uploaded a selfie and asked the AI what he’d look like bald. The chatbot responded with a cleanly edited (and slightly dystopian) version of the same photo—with Srinivas minus his hair.

It’s silly, yes, but it also shows how deeply AI is becoming embedded in our everyday tools—combining search, generation, and personalisation in real-time.

Why It’s a Big Deal

This is more than just a novelty. It marks a turning point in how we interact with AI:

Mainstream meets machine learning: WhatsApp is one of the most widely used apps across Southeast Asia and the world. Embedding AI here is a huge leap in accessibility and adoption.
Interface convergence: We no longer need separate apps for search, chat, and image generation. This is AI collapsing use cases into a single, everyday environment.
Habit formation: Messaging-style AI makes it feel natural to ask for help, brainstorm ideas, or even delegate thinking. It turns AI into a co-pilot—one emoji tap away.

But with this convenience comes a new set of questions.

Privacy Watch: Perplexity’s Data Dilemma

Despite the cool factor, not everyone is thrilled about these integrations—especially after recent comments from Perplexity’s CEO.

In an interview with TechCrunch, Srinivas shared that Perplexity is working on a new AI browser called Comet that could track detailed user data and sell that data to the highest bidder. The statement drew immediate backlash. It contradicts what many expect from modern AI—personalised help without surveillance.

It’s not just a hypothetical. If Comet shares infrastructure with Perplexity’s chatbot, there’s every reason to be cautious. While no WhatsApp-specific tracking has been confirmed, the company’s broader business intentions are clear: data = dollars.

Meanwhile, Meta—which owns WhatsApp—has already added its own AI assistant, Meta AI, as a persistent button in the lower-right corner of the app. You can’t remove or hide it. That, too, has raised concerns around accidental activation and constant data processing.

When you stack all these elements together, a clearer trend emerges: AI is becoming ambient—but at a cost to control.

Trade-Offs: Utility vs. Transparency

Feature	ChatGPT on WhatsApp	Perplexity on WhatsApp	Meta AI in WhatsApp
Native chat interface	✅ Yes	✅ Yes	❌ (icon only, not a chat)
Image generation	✅ Yes (if supported)	✅ Yes	✅ Yes
Cited sources	❌ No	✅ Yes	❌ No
Privacy red flags	Medium (OpenAI usage unclear)	High (CEO admits sale intent)	High (Meta default tracking)

This table says it all: even when the functionality is strong, the trust gap is growing. AI in messaging apps has powerful upside—but it should come with transparent boundaries.

Final Thoughts

AI is now fully embedded in the most personal app we own—our chat inbox. It’s no longer a tool you visit. It’s one you live with. That brings incredible convenience, yes, but also ongoing trade-offs in how our data is used, monetised, and protected.

For users in Asia, where WhatsApp is central to business, family, and education, this evolution means it’s time to get smarter about smart assistants. Use them, experiment, and enjoy — but stay alert to what’s happening beneath the interface.