From Dorms to Desks Podcast Por WRKdefined Podcast Network arte de portada

From Dorms to Desks

From Dorms to Desks

De: WRKdefined Podcast Network
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Welcome to "From Dorms to Desks", brought to you by College Recruiter job search site, which believes that every student and recent graduate deserves a great career. Every week, our AI-generated hosts dive into relatable topics, from landing that first internship to acing job interviews. With quick, 10-minute episodes full of upbeat, humorous dialogue, they make job searching feel less like a chore and more like an adventure. Whether you're a student navigating the last days of college or an early-career professional starting your first job, "From Dorms to Desks" is here to help you make the leap from campus life to career success—with plenty of laughs along the way!All rights reserved by WRKdefined Economía Exito Profesional Gestión Gestión y Liderazgo
Episodios
  • Why You Didn’t Hear Back: How Applicant Tracking Systems Score, Rank, and Quietly Reject Job Seekers

    Why You Didn’t Hear Back: How Applicant Tracking Systems Score, Rank, and Quietly Reject Job Seekers
    Jul 15 2025
    Early in your career, you’ve likely applied to jobs, met the requirements, and heard nothing back. No response. No rejection. The reason might be software—not a person. Enter the Applicant Tracking System (ATS) Most companies with 1,000+ employees—and many smaller ones—use an ATS. The bigger the brand, the more likely your resume hits software before a person. ATS platforms don’t just organize applications—they screen, rank, and often decide who gets seen, using AI or rule-based filters to sort candidates before any human is involved. Popular ATS Platforms: Workday Recruiting iCIMS Talent Cloud Oracle Taleo SAP SuccessFactors Greenhouse SmartRecruiters Lever Odds are, if you clicked "Apply" at a major company, your resume was parsed and scored by one of these before a recruiter ever opened their dashboard. Ranking: The Invisible Interview You apply. The ATS extracts titles, employers, skills, and education from your resume. Then it compares that data against the job description. Some tools rely on keyword matching. Others use machine learning to assess "fit." Then it assigns you a score. You don’t see the score. Recruiters do. Tier 1: Great match Tier 2: Could work Tier 3: Probably not In high-volume roles, recruiters often stop at the top ranks. The rest? Never reviewed. Your resume didn’t get rejected. It got buried. Is That a Rejection? Not technically. But if no human ever saw your application because a machine deprioritized it, then for all practical purposes, yes—it’s a rejection. But Don’t Recruiters Reject Candidates? They do. But in most roles, they don’t have time to dig through every applicant. ATS platforms use knockout questions—“Are you authorized to work in this country?” “Do you have X certification?”—that can trigger an auto-rejection. But most early-career applicants aren’t failing those. They’re just ranked too low. The recruiter checks the top 10 or 20 resumes and moves on. The rest get a generic rejection weeks later—even though no one ever read them. Effectively Rejected = Practically Rejected If your resume never surfaces due to a low ATS score, the software decided your fate—not because you lacked potential, but because you didn’t speak its language. Wrong phrasing? No keywords? Nonstandard formatting? You're out. Mobley v. Workday: A Lawsuit with Teeth In 2023, Julian Mobley filed a lawsuit against Workday. He’s Black and alleges that after applying to hundreds of jobs using Workday’s ATS, he was functionally rejected—repeatedly—before any human review. His legal team argues that Workday’s ATS isn’t just a tool—it functions as a staffing agency. And staffing firms are subject to anti-discrimination laws. If the software filters people out based on criteria that lead to racially biased outcomes—even unintentionally—it may be liable. Workday denies wrongdoing, claiming their software is just one part of a broader process. But the lawsuit reframes the conversation: if the ATS controls who gets seen, it’s more than software. It’s an actor. And if it filters candidates disproportionately, that’s a civil rights issue. The Stakes If courts side with Mobley, it could change the hiring landscape: – Required transparency around scoring algorithms – Legal accountability for discriminatory filtering – Pressure on employers to audit how tech shapes decisions What You Can Do The system is flawed, but not unbeatable. Tailor your resume to match each job description. Use the employer's language for skills and titles. Avoid tables, columns, or graphics. They break parsing. Don’t rely solely on online applications. Find a referral. Flag your name. None of this guarantees success. But it increases your odds of making it past the machine—and into the human conversation. Because right now? If the system doesn’t like your resume, no one sees it. No one considers it. No one calls you back. The ATS didn’t just track your application. It made the first—and most critical—decision. Learn more about your ad choices. Visit megaphone.fm/adchoices
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    21 m
  • How to future proof your career

    How to future proof your career
    Jul 8 2025
    The world of work is transforming before our eyes, and if you're a student, recent graduate, or just starting out in your career, it's natural to feel a mix of anticipation and perhaps a little uncertainty about what the future holds. The choices you're making right now about your education and early job experiences are incredibly important. Fortunately, major reports like the World Economic Forum's Future of Jobs Report 2025 offer valuable insights into where the global job market is headed. By understanding these trends, you can make more informed decisions and position yourself for success. Several powerful forces are collectively reshaping the job landscape. Technological advancements, particularly in artificial intelligence (AI), automation, and digital connectivity, are arguably the most dominant driver. AI and information processing breakthroughs are accelerating this shift, leading to both rapid job growth in tech fields and significant declines in roles that involve routine tasks. While AI is likely to augment many professional jobs, it's making many clerical and repetitive jobs obsolete. Economic shifts, including high inflation, rising costs of living, and slower global growth, also play a role, potentially leading to job losses in some areas but spurring demand for roles that improve efficiency, like AI specialists and supply chain experts. Geoeconomic fragmentation, with shifting trade policies, boosts the need for security and cybersecurity professionals. Demographic changes are fundamentally altering labor markets worldwide. In many developed countries, aging populations mean greater demand for healthcare and caregiving jobs. An older workforce might also necessitate automation where labor is scarce. Conversely, younger, expanding workforces in emerging economies fuel demand for education jobs and entry-level positions. The climate crisis is another major force, driving investment in renewable energy, electric vehicles, and sustainable practices, creating new careers in the green economy like Renewable Energy Engineers and Sustainability Experts. These trends don't happen in isolation; they overlap and interact, creating a dynamic and sometimes unpredictable environment, with a significant percentage of jobs globally predicted to change by 2030. When we look closer at specific occupations, we see a clear divergence. On a percentage basis, the fastest-growing jobs are heavily tech-focused, including Big Data Specialists, AI and Machine Learning Specialists, and Software Developers. Cybersecurity roles are also booming due to increasing digital risks. Parallel to this, the green transition is fueling rapid growth in roles like Electric Vehicle Specialists and Renewable Energy Engineers. But looking at the sheer number of jobs being added, the picture is different. The biggest gains are expected in foundational service roles and those meeting basic societal needs, such as farmworkers, delivery drivers, construction workers, and notably, roles in the care economy like Nursing Professionals and Personal Care Aides, and education jobs like teachers. Essentially, the job market is seeing rapid percentage growth in high-tech niches and massive absolute growth in essential service sectors. On the other side of the coin, many traditional jobs are shrinking due to automation and changing business models. Clerical and administrative support roles face the steepest declines. Occupations like Cashiers, Bank Tellers, Data Entry Clerks, and Administrative Secretaries are expected to see the largest absolute job losses globally. Digitalization and AI are the primary drivers here, as online services and software handle tasks previously done by humans. Manual jobs susceptible to automation, such as some factory and assembly-line positions, are also declining. Even some professional roles, like Accountants and Auditors, are noted as potentially shrinking as software takes over more routine work. While these jobs won't disappear entirely overnight, they offer diminishing prospects for new entrants, who should be cautious about building careers in these fields. This evolving job market requires an equally evolving skill set. It's estimated that a significant portion of the core skills needed in the workforce will change in the coming years. Not surprisingly, tech literacy and digital skills are paramount, with AI and Big Data skills being particularly sought after. Even if you're not in a tech role, understanding how to work alongside digital tools is crucial. Beyond technical skills, employers highly value uniquely human abilities. Analytical thinking and innovation, the ability to solve complex problems and think creatively, are in high demand. Resilience, flexibility, and adaptability are essential for navigating constant change. Leadership and social influence, along with communication and collaboration, become more important as automation handles routine tasks. Finally, curiosity and a commitment to ...
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    24 m
  • Has AI made AI-powered employment assessments irrelevant?

    Has AI made AI-powered employment assessments irrelevant?
    Jul 1 2025
    Online pre-employment assessments have become a foundational element in modern hiring, with over half of organizations incorporating them into their processes. Employers are increasingly asking candidates to complete tests – everything from coding challenges to personality questionnaires – to verify skills and qualities that might not be evident solely from a résumé. These tools are seen as a way to provide a more objective, data-driven method to identify qualified talent, sometimes allowing companies to give opportunities to candidates without traditional credentials who can nonetheless demonstrate their abilities. These assessments come in various forms. Technical skills assessments, including work samples and job simulations, aim to confirm hands-on abilities claimed on a résumé, asking candidates to perform job-like tasks. Cognitive ability tests, measuring general mental skills like reasoning and problem-solving, are widely used because research shows they are a strong predictor of job performance. Personality and psychometric tests delve into behavioral traits and work styles, helping gauge cultural fit and identifying characteristics like conscientiousness or teamwork preference. Beyond these, there are also situational judgment tests, job knowledge tests, and innovative gamified assessments designed to evaluate candidates in engaging ways. When designed correctly and validated, these tools promise benefits such as improving the quality of hire, increasing efficiency in screening, and potentially boosting diversity by reducing bias. Many HR professionals now view assessment scores as as important or more important than traditional criteria like education or experience. However, the widespread use of online assessments has coincided with increased attempts to game them. The rise of generative AI, particularly tools like ChatGPT, has drastically changed the landscape of cheating. These AI programs can quickly solve coding problems, generate written answers, and provide information that candidates might use to gain an unfair advantage, raising significant concerns that the assessments are no longer measuring the candidate's own abilities. Real-world anecdotes, such as hiring managers receiving identical, obviously AI-generated incorrect answers from multiple candidates or AI providing flawless solutions in live coding experiments, underscore the reality and scale of AI-assisted cheating. There are several reasons why candidates are turning to AI for help. The intense competitive pressure in the job market can lead some to feel desperate for any edge. A significant factor is often a lack of confidence or imposter syndrome, pushing candidates to use AI as a crutch even if they might be capable on their own. Frustration with hiring processes that candidates perceive as unfair, irrelevant, or overly difficult also plays a role, leading some to rationalize using AI as merely navigating a flawed system. Crucially, the sheer ease and accessibility of powerful AI tools have dramatically lowered the barrier to attempting to cheat. This widespread AI use presents a serious threat to the integrity of hiring. It can erode trust in assessment results, potentially leading to hiring individuals who cannot perform the required tasks despite high test scores. Such bad hires are costly in terms of time and resources. It might also push companies toward more burdensome evaluation methods, like a return to extensive in-person or highly proctored exams, which are inconvenient for everyone involved. Furthermore, there's a security risk if candidates paste proprietary assessment content into public AI models. Fortunately, employers are actively developing and implementing strategies to combat AI-assisted cheating. A primary approach is smarter test design. This involves creating unique or adaptive questions that are difficult for standard AI to answer correctly, using dynamic or open-ended tasks requiring human reasoning or explanation, incorporating elements that are challenging for text-based AI like game-based puzzles or visual interpretation, and designing questions where the process or rationale is more important than a single right answer. Assessments like personality tests, which lack clear "right" answers, are also less susceptible to straightforward AI gaming. Another crucial strategy involves enhanced proctoring and AI-detection technologies. This includes using automated proctoring software that monitors candidates via webcam and locks down browsers, looking for suspicious behavior. Employers are also deploying plagiarism and AI output detection tools to scan submitted code or text for signs of machine generation or matches to known AI outputs. Human monitoring through live proctoring or auditing by comparing assessment results with interview performance helps verify consistency. Explicitly stating policies against AI use and requiring candidate attestation can ...
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    16 m
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