Latest news with #GPT-style
West Australian
29-05-2025
- Business
- West Australian
From dig-and-shift to a digital economy
Having not stood for Parliament at the recent State election, I find myself in an all-too-common position of having to dust off my CV and look for work. If my last job search is anything to go by, I'll undoubtedly be asked why I've hopped around so much from industry to industry. For the unaware, those hops consist of going from being an electrician's apprentice in Perth to a software engineering manager in Seattle, and most recently, a member of Parliament in WA. My response to those interviewers will be the same as the parting advice that today I offer to the incoming members of WA's 42nd Parliament. When an opportunity presents itself, seize it. Today, WA faces three 'tech tailwinds': the rise of AI, increasing adoption of digital assets, and growing concerns of and for data sovereignty. Having worked in tech for more than a decade, I can think of no place better suited to take advantage of these tailwinds than WA. Simply put, WA has the lifestyle, reputation and resources to establish itself as a digital superpower: a task all the more worthwhile given our present reliance on a 'dig-and-shift' economy. Before we get into the benefits, let's talk a bit about those tailwinds. Cryptocurrencies are here — and they are here to stay. The undisputed king, Bitcoin, has repeatedly defied predictions of its demise, hitting an all-time-high of $175,000 in December 2024. Meanwhile, the US has created a sovereign wealth fund backed by Bitcoin, and a taskforce to provide further regulatory clarity. Alongside crypto, artificial intelligence has captured the attention of consumers and industry heavyweights. Each of the Big Five tech companies has released their own GPT-style AI, as has X, the platform owned by Elon Musk, formerly known as Twitter. In the latest trend on social media, users are taking advantage of ChatGPT to create action figures of themselves, displaying their interests. Whether you're sending large amounts of money overseas, or simply creating a Barbie-like doll of yourself, both actions require computing power. No, I'm not talking about any computing done on your mobile device, but rather in data centres, the results of which are simply displayed on your device. While powerful, data centres are expensive, notoriously energy-hungry and take up lots of real estate. Case in point: a recent plea by OpenAI, the owner of ChatGPT, for users to stop saying 'please' and 'thank you', claiming those words cost millions. That's why it's best to create a data centre where space is plentiful and energy is cheap and reliable, but in close proximity to both your existing customers and target markets. Bonus points if you can power those centres using renewable sources of energy to offset your impact on the environment. I think you see where I'm going with this. WA has the physical space, and affordable and renewable energy to get data centres off the ground, and at scale. Why build a data centre in North Sydney, powered by coal from the regions, when you can place one in the Kimberley, next to sun-scorched paddocks? Not only would your computing be green and cheap, but also your latency would be extremely low, particularly for any customers in Asia. More data centres in WA means more data sovereignty. 'Big tech' has scraped the internet of any and all of our publicly available personal information. Making matters worse are the US and China trying to outcompete each other on machine-learning technology to take advantage of that information. Storing more of our citizens' data locally will enable us to use AI to develop more targeted use cases to solve local problems, all the while keeping secure our citizens' data from foreign actors. To crystallise this vision, we need the Government to create a positive environment where the private sector can inject capital. The ingredients are not hard to piece together: better start-up grants than other States, and a few special economic zones with lower rates of taxation. The Premier, Roger Cook, says that WA needs to diversify and move away from a dig-and-shift economy, and I agree. In probably my last piece of media as a member of Parliament, I urge new MPs to seize the opportunity and embrace the digital economy. Wilson Tucker was a member for the Mining and Pastoral Region from 2021-25.
Time Business News
22-05-2025
- Business
- Time Business News
The Algorithm Behind the Hire: What AI Is Doing to Entry-Level Recruitment
A few months ago, I was talking to a recent college grad, bright kid, decent GPA, internships under his belt. He'd applied to 87 jobs. Zero interviews. 'I'm not even sure anyone's reading my resume,' he said. He's right to wonder. Today, your resume doesn't land on someone's desk. It lands in a database, and before a human sees it, it gets filtered, scored, sorted, and sometimes discarded by software. By lines of code. By AI. We're in a new era of recruitment, especially for entry-level jobs, and we need to talk about it. Not with alarm, not with hype. But with honesty. Here's what I've learned. In the past, hiring started with a recruiter reading your resume and making a judgment. Now? It starts with a machine parsing it. AI doesn't 'read' in the human sense. It parses. It extracts. It scans for words and patterns, skills, degrees, past job titles. The algorithm does three things: Parses your resume (turns it into structured data) (turns it into structured data) Scores it against job requirements against job requirements Ranks it for the human recruiter You could be a great fit. You could also be invisible, if you used the word 'collaborated' when the system was trained to look for 'teamwork.' This shift makes resumes less about storytelling, more about searchability. Less Hemingway, more SEO. Takeaway: Tailor your resume for machines first. Use the job description like a blueprint. Then, and only then, make it sound like you. Companies love AI in hiring for good reason: it's efficient. Unilever reduced its time-to-hire by 75%. Vodafone automated 80% of its screening process. But there's a catch. AI learns from data. And data, like people, has biases. One study found that AI resume screeners favored white-associated names 85% of the time over Black or female-associated names, even when the resumes were identical. That's not a glitch. That's a mirror. Because AI reflects the world it's trained on, and our world isn't always fair. Takeaway: The promise of 'objective' AI is only real when the training data is scrubbed of bias. Companies must audit their systems like they audit their finances: rigorously and often. Imagine getting a job pitch from a chatbot. Not a cold template. A warm, tailored message that seems like it knows you. That's already happening. AI is now writing outreach emails, chatting with candidates, and even scheduling interviews. Tools like EachHire dig deep into extended networks to surface potential applicants. Others use GPT-style language models to engage at scale. In theory, this means more personalization. In practice, it's weird. Because 'Hello, I read your blog on data ethics and thought you'd be a great fit for our open analyst role' hits different when you realize no human ever reads your blog. Takeaway: If you're job hunting, don't assume a real person is on the other side of the screen. But treat every message as if one is, because that's what good AI tries to mimic. Here's something no one tells recent grads: AI is doing your job already. Not all of it. But enough to matter. Tasks once handed to interns, market research, report building, copy drafting, are now delegated to ChatGPT or similar tools. Which means fewer 'foot-in-the-door' roles exist in their old form. And that's not just a tech thing. It's a structural shift. So if you're wondering why your resume isn't getting traction, part of the answer is this: the bottom rung of the ladder is being automated away. Takeaway: Focus on skills AI can't fake, strategic thinking, creativity, and emotional intelligence. Don't try to beat AI. Learn how to work with it. Yes, AI is taking the grunt work. But in doing so, it's also clearing space. Instead of building Excel templates, you might be interpreting insights. Instead of drafting social copy, you might be refining AI outputs. The work itself is becoming more…human. But that only happens if employers rethink how they train junior talent. The old apprenticeship model, start small, build trust, is being compressed. And that can be disorienting. But it also means you could be presenting in your first team meeting at week two. Not year two. Takeaway: Step up early. Learn fast. Ask for feedback. You won't have the luxury of 'paying your dues' the old-fashioned way. AI can save companies time and money, but not if it alienates talent, creates legal risk, or kills the brand. So businesses face a different kind of challenge: how do we move faster without losing touch? Here's what responsible companies are doing: Informing candidates when AI is used Regularly auditing for bias Using AI to assist, not replace, human judgment When done right, AI enhances human decisions. When done wrong, it replaces them, and not for the better. Takeaway: If you're in HR or recruiting, use AI as a co-pilot, not a captain. One day soon, a hiring manager might strap on a VR headset, walk through a virtual job fair, and 'meet' candidates from three continents, all mediated by AI. Sounds surreal. Maybe even dystopian. But that doesn't mean it'll be soulless. Because the most effective hiring will still depend on something AI can't do: Feel. Feel whether a candidate's story resonates. Feel the conviction in their voice. Feel whether they belong, not based on data, but on instinct, on care, on humanity. Takeaway: The algorithm might get you in the room. But it's your story, your presence, that gets you hired. We're at a strange inflection point. AI is transforming entry-level hiring faster, smarter, and more scalable. But in doing so, it's also testing what we value: speed vs. fairness, volume vs. nuance, signals vs. substance. If you're a job seeker: optimize your resume, yes. But don't let the machine define you. Lead with who you are, not just what you've done. If you're a business, embrace the tools. But remember, the hire you make today isn't just a headcount. It's a human. And humans aren't just data points. We're stories. Tell a good one. TIME BUSINESS NEWS
