A new report from 24 Seven suggests the global workforce is entering a period of structural change, as artificial intelligence, evolving employee expectations, and hiring inefficiencies reshape how companies compete for talent.
The firm’s 2026 Salary Guide: Compensation and Benefits, based on insights from more than 2,000 professionals across marketing, technology, and creative industries, points to a labor market that is no longer defined solely by pay—but by flexibility, speed, and access to meaningful work.
Compensation Still Matters—But It’s No Longer Enough
The data shows that compensation remains a central concern, with 85% of employees expecting a raise in 2026. Yet the report highlights a widening disconnect between salary expectations and overall job satisfaction.
Benefits and workplace experience are increasingly influencing retention. Around 76% of respondents say perks and benefits are the primary reason they stay with an employer, signaling a shift toward more holistic employee value propositions.
This trend reflects broader changes in workforce dynamics. Employees are prioritizing flexibility, career development, and purpose-driven work alongside compensation—forcing employers to rethink traditional retention strategies.
AI Hiring Surge Meets Execution Challenges
One of the most striking findings is the rapid expansion of AI-related roles. The report indicates that 82% of organizations plan to hire net-new AI-focused positions, underscoring how deeply artificial intelligence is becoming embedded in enterprise operations.
However, hiring these roles is proving difficult. Nearly 69% of professionals say their organizations take too long to hire, creating bottlenecks that can delay innovation and increase costs.
This tension—high demand for AI talent paired with inefficient hiring processes—is emerging as a defining challenge for HR leaders. Companies that fail to streamline recruitment risk losing candidates to faster-moving competitors.
The issue is not unique to one sector. Large technology ecosystems, including Microsoft, Google, and Amazon, are all driving demand for AI-skilled professionals, intensifying competition across industries.
Employer Leverage Returns—But With New Expectations
The report also signals a shift in market power. About 63% of respondents believe employers now hold more leverage in the job market, a reversal from the employee-driven dynamics seen in recent years.
Yet this increased leverage does not necessarily simplify hiring or retention. Workers still expect competitive compensation, faster hiring processes, and better workplace experiences. Employers must balance efficiency with engagement to remain competitive.
Anthony Donnarumma, CEO of 24 Seven, characterizes the moment as a “recalibration” rather than a slowdown—one where organizations are being tested on how effectively they can translate AI investments into real-world productivity gains.
Blended Workforce Models Gain Ground
In response to hiring challenges and evolving skill demands, organizations are increasingly adopting blended talent models. These approaches combine full-time employees with contractors, freelancers, and consultants to access specialized skills more quickly.
This shift is particularly evident in AI-related work, where demand often outpaces supply. Flexible talent solutions allow companies to scale expertise on demand without the delays associated with traditional hiring processes.
The rise of blended workforce strategies aligns with broader HRTech trends. Platforms and ecosystems built by companies like LinkedIn and Workday are increasingly focused on skills-based hiring, workforce analytics, and flexible talent deployment.
AI Is Reshaping How Work Gets Done
Beyond hiring, AI is transforming the nature of work itself. Tasks that once required human input are increasingly automated, changing the skills employees need to succeed.
As a result, organizations are under pressure to not only hire AI talent but also upskill existing employees. This dual challenge—recruiting new talent while reskilling current teams—is becoming a core component of workforce strategy.
According to McKinsey & Company, up to 50% of work activities could be automated by existing technologies, highlighting the urgency for continuous learning and adaptation.
Market Landscape
The findings from 24 Seven reflect a broader transformation across HR technology and workforce management. Companies are moving away from static hiring and compensation models toward dynamic systems that integrate talent acquisition, workforce planning, and skills development.
According to Gartner, organizations that adopt skills-based talent strategies and AI-driven workforce planning are significantly more likely to outperform peers in productivity and retention.
At the same time, hiring speed is emerging as a competitive differentiator. Enterprises that streamline recruitment processes—often using AI-powered tools—are better positioned to secure top talent in high-demand areas like AI and data science.
The shift toward flexible talent models, combined with the growing importance of benefits and workplace experience, suggests that the future of work will be defined by agility rather than stability.
Top Insights
- 24 Seven’s 2026 Salary Guide reveals a workforce shift where compensation remains important, but flexibility, benefits, and meaningful work increasingly drive employee retention and engagement.
- Demand for AI talent is accelerating, with 82% of organizations planning new roles, yet slow hiring processes are creating bottlenecks and increasing competition for skilled professionals.
- Blended workforce models combining full-time staff with contractors are becoming essential, enabling companies to access specialized skills quickly and adapt to evolving business needs.
- Employees expect higher compensation, but satisfaction gaps persist, signaling the need for organizations to rethink total rewards strategies beyond salary alone.
- AI adoption is reshaping job roles and skills requirements, pushing enterprises to invest in both hiring new talent and reskilling existing employees simultaneously.
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