Will AI change the career you're considering before you even get started? From shifting job requirements to long-term career opportunities, here's what to consider before choosing a path, investing in training, or changing your plans.

Automating one manufacturing process can change staffing needs across an entire facility. From production and maintenance to quality control and supervision, learn how automation is changing job responsibilities, the skills manufacturers need, and how employers should approach training and hiring.

Why is your job hard to fill? The problem may be a limited talent pool, overly narrow requirements, weak recruiting reach, an uncompetitive opportunity, or friction in the hiring process. Learn how to identify where your search is breaking down before changing your strategy.

You submit your application, get a confirmation, and then wait. What happens next? This article breaks down how employers may review applications, use hiring technology, compare candidates, and decide who moves forward, plus what job seekers can actually control.

AI can speed up research, automate repetitive tasks, and free up employee time—but does that mean a role is no longer necessary? Before changing a hiring plan, employers need to separate real, lasting workload changes from assumptions about what AI should be able to replace. This article looks at how AI can change a staffing need and how to decide whether to move forward with a hire, adjust the role, cover the work another way, or reconsider the position altogether.

The invoices are late, the CFO is covering for an empty seat, and payroll questions all go to one overloaded person. Everyone agrees the team needs help, but "understaffed" can mean three very different problems, each with a different fix. Here's how to figure out which one you're actually dealing with before you write the job posting.

Before you post a job opening, make sure your team is ready to hire—not just ready to recruit. Clarifying the business need, responsibilities, qualifications, offer details, decision-makers, and interview availability can prevent avoidable delays and help recruiters start with a much clearer search.

The week after peak season ends is one of the most valuable weeks in the entire hiring cycle—and most employers waste it. Before you repost the same job descriptions and rebuild your seasonal workforce from scratch, take a closer look at what actually happened: where staffing fell short, which roles were hardest to fill, and which seasonal employees you'd hire again in a heartbeat.

AI is already changing how work gets done, but that doesn’t make every prediction about job loss or job creation accurate. Learn how to separate real changes from hype, spot the signals that matter in your own career, and prepare for the future without making major decisions based on uncertain forecasts.

Resume prompt injection is a growing concern in AI-assisted hiring, but the issue goes beyond hidden instructions and manipulated screening. Learn how it works, why candidates are trying it, and what employers can do to protect the process while maintaining candidate trust.

Temp-to-hire and direct hire can both be strong options, but the right choice depends on the role, candidate market, and business need. Learn when each model may be the better fit and what employers should consider before deciding.

A hiring process can work exactly as intended and still fall short if it no longer fits the market. Learn how employers can adapt candidate communication, screening methods, hiring criteria, and role-specific strategies to better attract and evaluate qualified talent.

How should students and job seekers prepare for careers in an AI-driven world? Recruiters, parents, educators, and students share their perspectives on job security, AI skills, human strengths, experience, and choosing a career path.

Hiring processes naturally evolve as businesses grow, responsibilities shift, and new steps are added. Learn how to review your existing process, identify unnecessary friction, and make practical improvements that support better hiring decisions and a stronger candidate experience.

Technology has made hiring faster, more automated, and more data-driven, but many employers and candidates feel the process has also become more frustrating. This article explores why better tools don't always lead to better hiring decisions and why human judgment remains essential to building an effective hiring process.

Workforce planning isn't just about headcount—it's about making sure the right work is being done by the right people. Learn how to evaluate roles, redesign responsibilities, and build a more adaptable workforce without overreacting to every new trend.

Choosing between trade school and college isn't as simple as it once was, as rising education costs, changing employer expectations, AI, and labor shortages are reshaping career opportunities. Learn how to evaluate different educational pathways based on long-term career goals, return on investment, and today's evolving job market.

The fields that topped the "safe career" list a generation ago aren't going away — but the path through them looks different than it used to, and some careers nobody talked about are proving more resilient than anyone expected. Here's what the data actually shows about which work holds its value, and why.

The 2026 Tech Salary Guide from redShift Recruiting is now available. Explore salary data for more than 400 technology roles, top AI job titles, NYS Capital Region and national compensation trends, and the most in-demand technology positions in today's market.

Entry-level salaries are rising in some fields, but higher pay doesn’t mean easier access. Here's what's actually driving compensation growth, who's positioned to capture it, and what it means for job seekers and employers navigating today's early-career market.