CES 2026 felt less like a gadget showcase and more like a turning point for artificial intelligence. From humanoid robots entering early deployment to AI agents reshaping enterprise workflows, the focus shifted from demos to real-world use. This article breaks down the key signals from the show—and what they mean for work, jobs, and the future of AI.

AI is now a common part of the job search, but resumes that rely too heavily on automation often blend in or raise red flags with hiring managers. This article explains how to use AI as a drafting tool without losing accuracy, credibility, or your professional voice, and how to turn an AI-assisted resume into one that actually gets read.

Hiring is changing in ways that go beyond any single year. Automation, skills-based evaluation, flexible work models, and increased scrutiny are reshaping how employers hire and how candidates succeed. This article breaks down the most durable hiring trends shaping the modern job market, and what they mean for both employers and job seekers navigating a more complex, human-and-technology-driven process.

Starting a job search this year can feel overwhelming—especially as AI plays a bigger role in how candidates are screened and evaluated. From automated resume reviews to earlier assessments, the hiring process has changed across nearly every industry. This article explains what’s actually different, what hasn’t changed, and how job seekers can approach their search more intentionally in an AI-driven job market.

Hiring AI operators requires a different approach than hiring developers or engineers. These roles focus on oversight, judgment, and real-world decision-making—not coding or building models. This guide explains what AI operators do, the skills that matter most, and how to identify the right candidates for safe, effective AI adoption.

Technical skills may get candidates noticed, but soft skills determine whether they can communicate clearly, work across teams, and adapt when priorities shift. As AI handles more routine tasks, these human abilities are even more essential—and even harder to evaluate. This article breaks down why soft skills matter so much in technical roles and offers practical, structured ways to assess them with confidence.

Entry-level jobs aren’t disappearing entirely, but they are changing fast. As AI reshapes early-career work, both employers and job seekers must rethink what “entry-level” really means. This article breaks down how automation is redefining expectations, which skills matter most now, and how to adapt without falling behind.

Candidate fraud is evolving fast, and the consequences extend far beyond a bad interview or wasted recruiting hours. From revenue loss to cybersecurity exposure, even one deceptive hire can disrupt operations, damage client trust, and create long-term financial strain. This article breaks down the hidden costs, the ripple effects on business performance, and the practical steps employers can take to protect their hiring process.

AI video interviews promise faster screening and fewer scheduling headaches—but they also come with real risks if employers rely on automation alone. This article breaks down where AI tools help, where they fall short, and how to create a balanced, human-centered interview process. Learn the best practices for using AI effectively while protecting fairness, accuracy, and candidate trust.

With automation speeding up project timelines, specialized skill needs increasing, and a range of factors creating an increasingly unpredictable market, traditional direct hiring models are struggling to keep up. Temporary and contract professionals offer the flexibility organizations need to move faster, fill critical gaps, and support teams without long-term hiring risks. This article explores how AI, emerging technologies, and shifting market demands are fueling the rise of the flexible workforce—and why companies across every industry are adopting more agile, adaptable staffing strategies to stay competitive.

Can AI agents replace recruiters, or is hiring still a human-centered process? AI is transforming sourcing, screening, and workflow automation, but the decisions that shape culture, trust, and long-term performance still rely on people. This article breaks down what AI can and cannot do, and how employers and recruiters can prepare for the future of hiring.

Modern hiring practices are under attack, from deepfakes and synthetic identities to insider threats and AI-generated fraud. This article breaks down how cybercriminals are exploiting traditional hiring workflows and what companies can do to fight back. Learn how to spot red flags, implement secure hiring practices, and build a cybersecurity-aware talent pipeline.

Traditional hiring methods can be slow, biased, and unreliable. Pre‑employment AI assessment tools bring data‑driven precision to candidate evaluation, measuring real skills, predicting job performance, and improving the overall hiring experience. Learn how to use these tools responsibly to enhance efficiency and fairness in recruitment.

Automation has transformed hiring — but not always for the better. This article explores the growing problem of ghost jobs and AI recruiters, how these trends are eroding candidate trust, and what employers can do to restore transparency, protect their brand, and bring the human touch back to recruiting.

Today’s startups are competing with global brands, automation, and remote hiring tools, but that doesn’t mean they’re outmatched. This guide explores how modern startups can use smart recruiting strategies, ethical AI, and human insight to attract and retain top talent without enterprise-level resources.

Every accounting department hits a breaking point—tax season, audits, or year-end close. Hiring seasonal accounting staff turns those crunch times into a competitive advantage. Learn how temporary accounting professionals can help you stay accurate, compliant, and stress-free when the workload spikes.

Creative portfolios have always been the go-to way to judge a designer’s talent. But with AI image generators producing increasingly polished work, employers face new challenges when interviewing potential candidates. How do you evaluate a portfolio that may (or may not) include AI art—and if it does, does that automatically mean the candidate isn’t qualified? This article breaks down what hiring managers need to know, from spotting red flags to asking the right questions, so you can confidently assess candidates and hire real talent.

From a small office in Castleton-on-Hudson to a full-service staffing firm with statewide reach, redShift Recruiting is proud to be celebrating 10 years of growth, gratitude, and great hires. Learn how we got started, what we’ve built, and what’s next.

AI tools are helping bad actors create fake résumés, clone voices, and even use deepfake video interviews to slip through the hiring process. For employers, especially in IT and security-sensitive roles, the risk goes far beyond a bad hire. Here’s what you need to know about AI and candidate fraud — and how to protect your company from it.

From chatbots to orchestration platforms, the line between AI agents and AI operators is often blurred. In reality, agents handle execution, while operators guide strategy, governance, and compliance. Learn how these roles differ, how they work together across industries, and what they mean for the future of AI in the workplace.