Passion4Talents - Blog

An update on the OpenAI Jobs Platform: what's actually happened since the Certifications launch, the Indeed integration in ChatGPT, and Fidji Simo's departure – and what it means for recruiting.

In his column for Personalwirtschaft, my highly esteemed colleague Marcus Merheim writes about a recruiter who received 340 applications for a single job posting — 280 of them obviously written with AI. No typos, no odd phrasing, no rough edges – just consistently competent-sounding text that could just as easily have gone out to a hundred other companies. Roughly 80 percent AI share in a single applicant pool. Not an isolated case, but a preview of what is becoming the new n

AI in recruiting is currently an easy sell. Nearly every HR tech demo promises faster processes, smarter decisions, and more productive teams. The presentations look impressive. The investment requests often do too. Usually, things only become difficult afterward. At budget review, someone asks, “And what exactly did this deliver for us?” Talent Acquisition organizations often run into trouble—not because AI solutions are ineffective, but because their impact is mismeasured o

Few professions are currently being scrutinized as intensely for their future relevance as recruiting. With every new AI application, every autonomous agent, and every new wave of automation, the same question resurfaces: Will recruiters even be needed in the future? The answers vary dramatically. Some predict the end of the profession altogether. After all, artificial intelligence can already analyze résumés, identify candidates, write job advertisements, prepare interviews,

Job interviews are essential for personnel selection. Leaders trust them. They provide direct, personal interaction. You observe, question, and believe you have a strong impression. The impression rarely matches daily work. Interviews capture an exceptional moment. A recent Journal of Business and Psychology article highlights this. Bayón, Kleinmann, Ryan, and Heimann studied whether asking about maximum versus typical performance matters. Is the interview capturing the best

Recruiting is currently undergoing profound changes. Artificial Intelligence (AI) is no longer just an experiment in innovation labs. In many organisations, it has become part of the operational recruiting process: résumés are automatically screened, interview transcripts analysed, and candidate communication partially automated. However, the adoption of AI is only part of the story. The main argument of this text is that, in recruiting, the greatest challenge today is not th

Recruiting is often seen as an objective process. Résumés are reviewed, interviews conducted, and decisions documented. Many organizations, therefore, assume that bias—systematic distortion in decision-making—is primarily an individual issue: an unconscious impression in an interview or a gut feeling during selection. The reality is less comfortable. Bias does not arise solely in individuals' minds. It is often embedded in the system itself. Job profiles evolve over time, sou

AI-created applications are now the standard. The key question is no longer whether to approve, but what follows next. In many companies across the DACH region, no hiring process is completed without a personal meeting before signing a contract. And that is precisely why AI-driven candidate fraud often remains invisible for a long time. Not because it works in face-to-face interviews—but because it ends there. The real issue emerges one step earlier. In digital pre-selection

Artificial Intelligence (AI) has firmly arrived in recruiting. Résumés are pre-screened, active-sourcing messages are auto-generated, and interviews are transcribed and analyzed. Efficiency gains are real. At the same time, the competency focus is shifting—away from purely operational process management toward a more fundamental question: Who takes responsibility for the human dimension? A widely discussed idea, highlighted in Fast Company , captures it well: in an AI-shaped

Recruiting rarely suffers from a lack of activity. What it often lacks is clarity. Jobs are posted, sourcing lists are built, and interviews are conducted. Still, the underlying feeling remains: we are reacting more than we are steering. This is exactly where Talent Mapping comes in. Not as a buzzword, but as a structural response to a fragmented labor market – and as a discipline that becomes truly scalable through artificial intelligence (AI). What Talent Mapping Actually I

The labor market feels paradoxical. Companies invest in AI, automation, and efficiency programs. Meanwhile, hiring freezes, layoffs, and closed entry points increase—often in roles recently touted as “jobs of the future.” For many employees and candidates, this signals uncertainty rather than momentum. This simultaneity is not an anomaly or a temporary fluctuation. It marks a structural transition. Organizations seek productivity gains before adapting role models, qualificati

An EVP is more than a decorative piece for a career site—it serves as a warehouse of raw material. Many companies confuse the outcome with the starting point, crafting attractive statements but failing to create a real-life narrative. Effective marketing approaches this differently, treating core messages as resources from which new formats are consistently developed. Employer branding should follow this approach as well. The key is simplification. Three credible messages ar

Artificial intelligence has moved beyond experimentation in recruiting. Tools like CV parsing, matching algorithms, chatbots, and automated scheduling are now standard. The logical next step is the AI-conducted interview. More vendors now use algorithm-analyzed video interviews to assess candidates' language, word choice, speaking pace, facial expressions, and eye contact. The central question, however, is not whether this technology can be used, but whether it should be exp

The EU Artificial Intelligence Act (EU AI Act) has been in force since 1 August 2024. That part is widely known. What is far less understood: recruiting is one of the most heavily regulated domains under the regulation. Most AI-driven hiring tools fall into the “high-risk” category. As of August 2026 , extensive compliance obligations apply to any organisation using them. If you have not started preparing yet, you are effectively betting on time. So what exactly must Talent

This week marked one of my personal highlights of the year: the mother of all HR barcamps — HRBC in Berlin. I’ve been attending since the very first one back in 2012, which was still hosted in Sarah Wiener’s restaurant. And every year, the event quickly reveals whether HR is in a comfort or an orientation phase. This time it was clearly the latter. And honestly, it was more interesting than it has been in years. Crises sometimes have their upside. Even the session pitches sho

The current lawsuits against Workday and Eightfold mark a sharp escalation in the debate around AI in HR. And rightly so. Even though only two well-known providers of innovative recruiting solutions are involved, the implications affect every organisation that uses algorithmic systems in recruiting, especially those that have relied too heavily on technology and now bear the responsibility for it. The mere fact that the lawsuits have been admitted sends a clear and importan

Employer branding and HR communication have never been quiet. But rarely have they been as interchangeable as they are today. Career pages, job ads and recruiting posts sound polished, friendly and professional. At the same time, they sound remarkably similar. With the widespread use of artificial intelligence in content creation, this effect has intensified. Texts are produced faster, are linguistically correct, and are formally well-structured. What often gets lost in the p

Employer branding faces its greatest pressure since the rise of social media. Generative AI now produces content, variants, and formats at speeds that once demanded a dedicated team. Meanwhile, candidate expectations and scepticism are rising. As communication scales, the cost of interchangeability increases, and small missteps quickly turn into systemic trust issues. A clear perspective appears when the topic is viewed through three lenses: automation, authenticity, and risk

The idea that prompting skills – the ability to type the “right words” into an AI system – would be the key to successfully using generative AI has been one of the dominant narratives in recent years, including in Talent Acquisition. Many organizations invested heavily in prompt libraries, training, and certifications, hoping to unlock efficiency gains and higher quality outcomes. By now, however, two things have become unmistakably clear. Prompting in itself does not solve s

The digital landscape is evolving faster than many recruiting teams can keep up with. For more than a decade, everything revolved around Search Engine Optimization (SEO). But today we are standing at the threshold of a new concept: Generative Engine Optimization (GEO) . GEO refers to the optimization of content for AI-driven answer engines such as ChatGPT, Google AI Overviews, Perplexity, or Microsoft Copilot. These tools are rapidly becoming the primary information source fo