It’s important that talent acquisition professionals understand the challenges for employing tech professionals and the changing workforce landscape. The World Economic Forum projects that structural labor-market transformations, which refer to a long-term shift in the way labor markets function and affect the types of jobs available as well as how work is organized and the skills that are in demand, may impact 22% of today’s jobs between 2025 and 2030.
The factors driving these include technological advancements, shift in workforce demographics and a change in the priorities of employees. Here, we discuss the changing landscape of tech employment, the various employment models and how tech companies can improve their recruitment strategy.
Understanding the Evolving Employment Landscape
According to a recent survey, almost 76% of employers have adopted hybrid work models, indicating a significant shift away from traditional office-based employment. As of 2025, nearly 53% of American workers engage in hybrid work arrangements and 27% are fully remote. This leaves around 21% of people who remain on-site full time.
Full-Time Employment
In full-time employment, people work 35 to 40 hours per week and receive a benefits package. The full-time employment model offers employers consistency, ready availability, high productivity and low turnover. For employees, working full time offers job security, growth, health benefits and retirement plans.
However, full-time tech roles have evolved, with hybrid work becoming the new standard, and 71% of employers with mandatory on-site work policies have reported retention issues. Though full-time employment continues to have advantages, the tech market is highly competitive, and recruiters face challenges in filling positions. Around 41% of employers focus on enhancing benefits packages to remain competitive in the full-time employment market and 40% emphasize the importance of flexible working arrangements, even for full-time roles.
Contract and Temporary Employment
Contract and temporary employment are work arrangements that span a specified timeframe or a specific project. This employment type offers advantages for employers in flexibility, cost-effectiveness and specific project needs. In contract work, employees benefit in terms of variety, work-life balance and better hourly rates. Recruiters can use artificial intelligence-based sourcing and automation tools to identify and attract top talent pools for contract or direct-hire roles.
Remote and Hybrid Work Models
Remote working means employees are outside of the traditional office environment. They generally communicate with supervisors and team members through digital conferencing tools. In a hybrid model, employees work a mix of in-office and remote days. They typically follow structured schedules such as three days in the office and two days remote. The main advantage of the hybrid employment model is that employers can maintain physical collaboration with their employees while offering flexibility. A survey shows that nearly 76% of respondents indicated their employers have embraced hybrid work arrangements.
Tech companies face some challenges when hiring for hybrid and remote positions, such as screening remotely to assess remote work capabilities and cultural fit.
Gig Economy and Freelance Work
Tech companies may hire gig and freelance workers to complete specific tasks, projects or short-term assignments. Unlike in traditional employment, the employer and worker make no long-term commitment. The U.S. gig economy generated $204 billion in gross volume in 2018 with a projected $455 billion in 2023, showing the rapid growth of this sector.
Building Freelance Talent Pools
AI and machine learning algorithms can help analyze the skills, experience and preferences of freelancers to match them with suitable gigs. AI-powered tools can improve the creation and management of freelance talent pools through matching algorithms and automated engagement. Virtual collaboration facilitation tools enable real-time language translation, smart scheduling and virtual meeting assistance. AI tools such as Trello and Asana can enhance freelancer productivity and communication.
Part-Time Employment
Part-time employment refers to an employee working fewer hours than a full-time schedule, typically less than 35-40 hours per week. Part-time roles are useful for employers as they can attract diverse talent pools, including parents, students and semi-retired professionals. Part-time contracts can help businesses save overhead costs.
Internships and Apprenticeships
Internships help junior tech talent gain experience in the work environment and often complement academic learning. Apprenticeships are training programs that structure hands-on work and classroom instruction with a focus on specific skills. Internships and apprenticeships act as pathways to full-time employment. They allow individuals to explore roles within the tech sector before committing to their careers and provide recruiters with a pipeline for their talent pools. Interns and apprentices can also develop connections with professionals and mentors during their programs. Statistics show that students who complete internships are 25% more likely to start a full time position within six months of graduation compared to those who don’t, as tech companies may partner with educational institutions to promote recruitment.
Seasonal Employment
Seasonal employment is temporary work that companies require during specific times of the year. These posts usually open during holiday or peak business periods. Technology can help recruiters streamline the seasonal hiring process by maintaining databases of previous seasonal workers for quick rehiring. Recruiters can also use predictive analytics to forecast seasonal staffing needs and improve the efficiency of their cyclical hiring process.
Skills-Based Hiring across Employment Types
Many tech companies have shifted to a skills-based hiring approach where the emphasis is on practical skills rather than educational credentials. Skills-based hiring can help businesses adapt to changing needs. Research shows that 39% of existing skill sets may transform or become outdated by 2030, highlighting the need for skills-based hiring approaches.
Technology’s Role in Managing Different Employment Types
Recruitment technology has evolved to support recruiters in sourcing, screening and managing candidates for different employment types. AI and automation are streamlining processes and monotonous tasks, allowing recruiters and employers to maintain a human connection in the recruitment process. Nearly 67% of respondents in a survey saw increased AI usage as a top talent acquisition trend for 2025.
Future-Proofing Your Recruitment Strategy
Recruiters need to be adaptable and stay current with emerging employment trends. With evolving workforce expectations, demographic and economic shifts affecting the labor market and the growing emphasis on mental health and work-life balance in employment decisions, recruiters need to practice continuous learning.
If you need support in managing your diverse talent acquisition needs, please contact Dice today and we’ll be happy to assist you.
Key Takeaways
- Employment types have evolved in recent years, and modern recruiting practices should change accordingly.
- Technology now plays a critical role in managing employment arrangements and recruitment.
- Recruiters must understand the importance of skills-based hiring across all employment types.
- Tech companies must explore the significance of building talent pools for each employment category.
- Talent acquisition personnel should use flexibility and adaptability in tech recruitment strategies.
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