Blogs

Does Every Job Application Look the Same in 2024?

A black and white drawing of a human head with bubbles coming out of it.

 

With the rapid technological advancement we are experiencing each year, we can notice a growth in AI and chatbot usage when discussing job applications. Many candidates rely on such tools to build resumes, cover letters, or contact hiring managers.


 Although the technology we possess nowadays is excellent and can help us in multiple ways, job seekers must be careful as it can also negatively impact their job applications due to a lack of authenticity and personality.

 

Recurring Terms

One common issue with AI-driven application processes is the reliance on recurring terms and keywords, making all resumes look the same. Job seekers may be tempted to rely too much on chatbots, risking a lack of authenticity and individuality. 


This approach can lead to applications that appear generic and fail to showcase a candidate's unique skills and experiences. The automated responses and overuse of keywords may not capture the nuances of individual personalities, leading to a missed chance to make a memorable first impression.


Chatbots often repeat terms or expressions, such as “seamlessly”, “unwavering”, “showcasing”, “as a result”, or “in conclusion”, for example. They tend to follow the same pattern when structuring a copy for a cover letter, with an introduction leading to a conclusion that not always is well connected. 

 
To stand out from the crowd, applicants should strive to infuse their language with vivid examples and specific accomplishments. Instead of using generic terms, provide concrete instances where you collaborated effectively within a team, solved a particular challenge, or delivered measurable results. The more specific you can get, the better.

 

Common Cover Letters

AI may inadvertently encourage a one-size-fits-all approach to job applications. Some candidates might use generic templates for their cover letters, neglecting to tailor their applications to the specific requirements of each job. 


This lack of personalisation can harm a candidate's chances of standing out in a competitive job market, as Hiring Managers may overlook applications that appear to be using a generic approach.

 

Recommendations: To have a more personalised cover letter, you can work the other way around. Instead of going to chatbots to start them, try writing them in your own words, highlighting your expertise and why you would be a great fit for the position.


 Then, you can recur to AI tools, pasting your initial cover letter there and asking them to make it better, whether by using a more professional vocabulary or improving the copy structure for example. 

 
Remember that you don’t have to accept all their changes or their first version. You can keep tailoring it by asking things such as “make it shorter” or “emphasise my background”, for example, to arrive at the objective you want without losing the essence of your first message. 


Download our Cover Letter and Resume guides

 

Online Assessments

 Some companies use online assessments during the application process, and candidates utilising AI tools may find themselves adapting their responses to match expected patterns rather than providing genuine answers. 

 
This can dilute the authenticity of their responses and create an impression of insincerity. Predefined responses and suppressing your natural conversational style can result in a lack of spontaneous exchanges that would occur in an authentic interaction.

 

Striking the Right Balance

 Despite these challenges, job seekers can explore AI tools with a strategic approach. This technology can be beneficial in providing templates or tips, but it is essential to tailor the message to demonstrate your essence, unique skills and aspirations.


 Craft resumes and cover letters that authentically reflect your talents and experiences. Use keywords naturally, focusing on relevance rather than overloading your application with them.

 
You can customise each application to match the specific job requirements. Highlight how your achievements align with the company's needs, values and the role you are applying for.


 Remember that, at the end of the day, behind the AI algorithms are human recruiters. Incorporate a personal touch in your application to connect with the human aspect of the hiring process and how you'd represent the company values. 

Conclusion

As AI and chatbots become more used each day, job seekers must adapt and utilise them as a supportive tool instead of the main creative process in their applications. 


While these technologies offer efficiency, a well-balanced approach prioritising authenticity, personalisation, and staying informed will enable candidates to stand out in a competitive job market. 

 
Keep yourself updated with industry trends and AI advancements to adapt your job-seeking strategies accordingly. Understanding how AI is used in recruitment can help refine your approach and improve your chances of securing your desired job.

 
If you want to use the recommendations above for your next job application, you can easily find all current positions available on our website by clicking
here  . If you need support from our specialised team, you can also upload your resume to hear from us in case we have any opportunity that matches your skills and experience.

 

Man with glasses in purple-lit room; on left, wearing headset and typing; on right, looking to the side.
By Kara Porter September 1, 2025
Ageism is holding back Australia’s tech workforce. Here’s why experience matters and how businesses can embrace age-inclusive hiring.
By Kara Porter August 12, 2025
Welcome to Lunch With a Leader, where the Tech & Data People team sits down with IT leaders to uncover their career insights, challenges, and industry perspectives. Each conversation brings valuable lessons, trends, and advice to help our community grow and thrive. Grab a seat at the table and take in the insights from some of the best in the business.
A computer chip is sitting on top of a purple motherboard.
By Kara Porter July 17, 2025
Spoiler: “Competitive salary” isn’t the hook you think it is.
By Kara Porter July 7, 2025
Welcome to Lunch with a Leader, where the Tech & Data People team sits down with IT leaders to uncover their career insights, challenges, and industry perspectives. Each conversation brings valuable lessons, trends, and advice to help our community grow and thrive. Grab a seat at the table and take in the insights from some of the best in the business.
By Kara Porter June 11, 2025
Welcome to Lunch with a Leader, where the Tech & Data People team sits down with IT leaders to uncover their career insights, challenges, and industry perspectives. Each conversation brings valuable lessons, trends, and advice to help our community grow and thrive. Grab a seat at the table and take in the insights from some of the best in the business. 
By Kara Porter June 3, 2025
Why the way you brief, partner, and align at the top matters more than ever.
By Kara Porter May 11, 2025
Welcome to Lunch with a Leader, where the Tech & Data People team sits down with IT leaders to uncover their career insights, challenges, and industry perspectives. Each conversation brings valuable lessons, trends, and advice to help our community grow and thrive. Grab a seat at the table and take in the insights from some of the best in the business. 
A row of cars are driving down a city street at night. Ambient Intelligence.
By Kara Porter May 8, 2025
We’ve entered an era where the smartest systems aren’t the loudest. they’re the ones you don’t even notice. Ambient Intelligence (AmI), or “ambient invisible intelligence,” is reshaping how we live and work, not with fanfare, but with subtlety. This is AI that whispers instead of shouts. It learns your habits, senses your environment, and responds without you lifting a finger. It’s the kind of intelligence that anticipates, not interrupts. So… why should tech professionals, recruiters, and business leaders care? What Is Ambient Intelligence (AmI), Really? Ambient intelligence refers to digital systems—AI, sensors, and networks—that are embedded into our environments to support humans quietly and contextually. Think beyond chatbots and flashy dashboards. This is: Smart lighting that adjusts based on mood or weather Healthcare systems that flag early symptoms before patients notice Cybersecurity that auto-defends without alert fatigue Enterprise tools that prioritise tasks based on your unique working patterns. It’s a tech layer that fades into the background. That is, until you realise you couldn’t function without it. A Silent Revolution in the Workplace Here’s the interesting bit: Ambient AI isn’t just for homes and smart cities. It’s quietly infiltrating our workplaces. Talent Platforms that serve candidates content before they search. Meeting Software that understands conversation flow and adjusts transcripts, follow-ups, or even sentiment analysis in real time. Facilities Management tools that adjust airflow, lighting, and noise levels based on occupancy and stress indicators. And all of this happens without user prompts. We’ve moved from “Hey Siri” to “Siri already knows.” Why It Matters for Tech Recruitment Let’s talk talent. As ambient intelligence grows, we’ll see rising demand for: AI/ML engineers with human-centred design experience Data privacy and ethics specialists IoT security experts UX professionals who understand invisible design Integration architects who can make fragmented systems feel cohesive. And here’s the catch: these roles often require cross-functional fluency. Tech meets psychology, meets ethics, meets design. Are we ready for that shift? Ethical Design in the Background There’s power in invisibility. But there’s risk too. When tech becomes ambient, it also becomes less visible to scrutiny. That means: Bias can go unchecked Data privacy can slip through the cracks Users can be nudged without realising it. The question is no longer can we do this? —But should we? Smart businesses will bring in people who can answer that. Invisible, but Intentional The future of AI isn’t a robot in the boardroom. It’s the algorithm silently removing barriers before they appear. Ambient intelligence is already here. You may have just not noticed it. Yet.
By Kara Porter April 11, 2025
Welcome to Lunch with a Leader, where the Tech & Data People team sits down with IT leaders to uncover their career insights, challenges, and industry perspectives. Each conversation brings valuable lessons, trends, and advice to help our community grow and thrive.  Grab a seat at the table and take in the insights from some of the best in the business.
A group of people are connected to each other in a network.
By Kara Porter March 26, 2025
Growing a tech team goes a little more in-depth than just getting bums on seats. That is, if you want to scale efficiently. As businesses expand, they often face a common dilemma: should they build an in-house team, buy talent through hiring full-time employees, or partner with external agencies and contractors? Each approach has its pros and cons, and choosing the right one depends on factors like budget, project scope, and long-term business goals. The Build, Buy or Partner Framework When to build (upskill & develop internal talent) Best for: Companies with existing talent that can be developed for long-term growth. Pros: Retains institutional knowledge Fosters a strong company culture Reduces external hiring costs over time. Cons: Takes time and investment in training Can be challenging if internal talent lacks specialised skills. When to choose this approach: When you have a solid foundation of junior-to-mid-level employees who can be trained When you’re looking to promote from within and build long-term loyalty When hiring budgets are tight, but internal development is feasible. When to buy (hire full-time employees directly or through an agency) Best for: Businesses needing stability and long-term expertise in critical roles. Pros: Provides dedicated resources fully committed to company goals Helps establish a strong, cohesive team culture. Cons: Lengthy hiring processes if running a direct process Higher upfront costs (salary, benefits, onboarding, training) Risk of turnover. When to choose this approach: When core business functions require in-house expertise (e.g., software engineers, DevOps, cybersecurity specialists) When long-term stability outweighs short-term cost savings When hiring in a talent-competitive industry where full-time employment is a key attractor. When to partner (contractors and recruitment agencies) Best for: Businesses needing flexibility, speed, or niche expertise. Pros: Faster time-to-hire, especially for specialised roles Cost-effective for short-term projects Access to a broader talent pool. Cons: Cultural integration can be trickier if partners aren’t well-briefed on your values and team dynamics May carry higher long-term costs but manageable with a strong partner who can help you strike the right balance with lasting talent. When to choose this approach: When working on short-term projects that don’t justify full-time hires When needing specialised skills that are difficult to recruit in-house When scaling rapidly and requiring immediate talent solutions When the target talent requires a more strategic brand positioning. Making the Right Hiring Decision Assess business goals: Align hiring strategy with long-term company objectives. Evaluate current team capabilities: Determine whether upskilling is an option before going to market. Consider cost vs. speed: Weigh the urgency of hiring needs against budget constraints. Mix & match approaches: A hybrid approach—combining direct hires with external partners—can offer the best balance of cost, flexibility, and expertise. Scaling a tech team effectively requires a strategic mix of building, buying, and partnering. By understanding the strengths and limitations of each approach, hiring managers can make informed decisions that support both immediate needs and long-term growth. Get in touch with our team to see how we can help set your business up for efficient and effective hiring.