Trevor Higgs | April 2026 Candidate feedback is consistent across thousands of hiring experiences: "I don't understand why I wasn't selected." It's the most human question in all of talent acquisition, and increasingly, the answer is: "The algorithm said no." That answer is unacceptable. Not just ethically, though it is. But legally, strategically, and commercially. The era of black-box AI in hiring is ending. What comes next will be defined by one word: explainability. The R

Trevor Higgs | April 2026 The most dangerous number in talent acquisition right now isn't a budget figure or a time-to-fill metric. It's 62. That's the gap [3], measured in percentage points, between how hiring managers feel about AI in hiring and how candidates feel about it. 70% of hiring managers say they trust AI to help make better hiring decisions. Only 8% of candidates agree. And that gap isn't narrowing. It's accelerating. The Canyon Nobody Talks About For years, the

Trevor Higgs | April 2026 Two segments of the workforce are converging on the same crisis from opposite directions, and both are ripe for potential-based hiring to deliver immediate, measurable impact. The Mid-Market Squeeze Mid-market companies, those with 500 to 2,000 employees and revenues between $50 million [1] and $2 billion, occupy an increasingly uncomfortable position in the HR technology environment. They face enterprise-level hiring complexity but lack enterprise-l

Trevor Higgs | March 2026 "Why didn't I get the job?" It's the most human question in all of talent acquisition. And increasingly, the answer is: "We don't really know. The algorithm said no." That answer is unacceptable. Not just ethically, though it is, but legally, strategically, and commercially. The era of black-box AI in hiring is ending. What comes next will be defined by one word: explainability. The Regulatory Tsunami The regulatory environment is shifting fast, and

Trevor Higgs | April 2026 In August 2026, the European Union's Artificial Intelligence Act will reach full enforcement. If you're a US company that thinks this is purely a European concern, you may want to reconsider. The EU AI Act is the most comprehensive AI regulation in the world. Its treatment of hiring technology is among the most stringent provisions in the entire framework. AI systems used in recruitment, screening, evaluation, or decision-making about workers are cl

The resume, once the foundation of hiring, has become the least reliable signal in the process. And AI didn’t just accelerate its decline. AI killed it.

Trevor Higgs | March 2026 If your company uses any form of automated tool to screen, evaluate, or rank job candidates, New York City has a message: you're now subject to one of the most specific AI hiring regulations in the world. NYC Local Law 144, which went into effect in July 2023, established the first major regulatory framework specifically governing the use of automated employment decision tools in hiring and promotion. While the law technically applies only to employe

Regulatory filings that we have seen in 2025 are the opening shots of what I believe will be the defining regulatory battle of the HR technology industry. We’re calling it the Compliance Reckoning. And what makes it particularly dangerous for organizations is that it’s inseparable from another force: the Trust Crisis that’s fundamentally transforming how candidates experience—and evaluate—the hiring process.

Trevor Higgs | March 2026 The first major class-action lawsuit against an AI hiring vendor is no longer a hypothetical. It’s already here. One of the most recognized names in HR technology is defending a class-action lawsuit alleging that its AI-powered screening tools systematically discriminated against applicants based on race, age, and disability. The scale? Over 1.1 billion rejected job applications processed through the platform. [1] Meanwhile, another leading vendor —

Something fundamental has shifted. Not one thing—five things, happening simultaneously, each amplifying the others. After a year of research across regulatory filings, workforce surveys, industry data, and over 100 years of industrial-organizational psychology, my team at Catalyzr has identified five interconnected trends that are reshaping how organizations identify, evaluate, and hire talent in 2026.

Artificial intelligence has supercharged the hiring process—and in many ways, broken it. Recruiters are drowning in applications that all look perfect, and job seekers are fighting algorithms with algorithms to stand out.

The very tools designed to solve the problems of volume and bias have inadvertently created a host of new, counter-intuitive challenges. The promise of efficiency has given way to an AI arms race that has commoditized experience, encouraged reckless corporate decision-making, and broken the traditional signals of value.

In the last few years, artificial intelligence has transformed how companies hire. Recruiters no longer spend days sifting through stacks of resumes. Instead, algorithms do much of the work.

The ground is shifting under the global workforce. With nearly 40% of core skills expected to change by 2030 due to the impact of AI, automation, and the green economy, a significant response is anticipated. A new analysis projects that Fortune 1000 companies will be spending a stunning $141 billion annually on employee reskilling by 2035. This isn't just a budget line item; it's a strategic necessity to remain competitive.