Future of work trends in 2026: What the research actually shows

The future of work trends shaping research in 2026 are artificial intelligence (AI) adoption, employee wellbeing, changing skills, entry-level careers, hybrid work, and disability inclusion. Research teams are currently examining whether some of the benefits linked to these trends, like higher productivity and more flexible ways of working, are reaching the workers affected by them.

Here, we look at the trends alongside the research behind them, so you can see how researchers reached their conclusions and where the findings leave room for further work.

What do we mean by future of work trends?

Future of work trends are recurring changes in how we work that could shape employment in the coming years.

Future of work research examines how emerging changes affect people’s working lives over time. A study might investigate how employees share responsibility with AI agents, or follow graduates as they try to secure their first position.

This is distinct from other areas of research relating to the workforce, including: 

• Human resources (HR) research, which often focuses on more immediate organizational questions, such as recruitment costs or training provision. 

• Labor-market economics, which examines employment and wages across the economy.

• Employee engagement research, which looks at people’s relationship with their work and employer.

A study's relevance to future-of-work research depends on the question it helps answer over time. An engagement survey can contribute when repeated findings reveal a sustained change. But a disappointing score at one organization doesn’t establish a workforce trend. Understanding the population behind a result helps you decide how far the conclusion can reasonably travel.

The six future of work trends shaping 2026 research agendas 

The six themes below connect workplace changes to the studies that explain them. Each section sets out the evidence and the questions researchers still need to answer.

• AI adoption

• Burnout and wellbeing

• Changing skills

• Entry-level careers

• Remote and hybrid work

• Disability inclusion

How is AI adoption changing the way people work?

AI adoption is expanding into human–AI teamwork, with employees delegating work to agents and taking responsibility for checking the results. Agentic AI can carry out sequences of tasks, making the division of responsibility between people and software an increasingly important research concern.

Several major workplace studies point to the same shift, though how they measure results differs. Microsoft’s 2026 Work Trend Index surveyed 20,000 AI-using knowledge workers across 10 markets and found that only 19% were in its “Frontier” group, where individual AI capability and organizational readiness were both high. Prolific’s 2026 Future of Work report, which surveyed 1,996 knowledge workers across 13 countries, found that 92% of employees said AI saved them time at work last week. 

Slack’s June 2025 Workforce Index adds a productivity angle. Among 5,156 desk workers across six countries, daily AI users were more likely than non-users to report very good productivity. 

Asana’s 2025 State of AI at Work looks further ahead, with workers expecting to hand off more of their work to AI agents over the next few years. Meanwhile, Upwork’s 2026 Future Workforce Index adds behavioral evidence to the picture. Its survey of 2,400 US workers, combined with marketplace activity, shows strong growth in AI-augmented professional services.

But how much does reported improvement translate into measurable gains? Slack found that daily AI users were 64% more likely to report “very good” productivity than non-users; the finding doesn’t establish a 64% increase in output. Microsoft excluded non-users, so its sample can’t establish workforce-wide adoption. 

To compare findings, we need to look at who participated and what each study measured. For example, Microsoft surveyed only people already using AI, while Slack asked workers to rate their own productivity. Those choices affect what each result can tell us. Task-based experiments can measure performance more directly, but results from a controlled task may not reflect what happens over a full workday.

What do workplace trends in 2026 say about burnout and employee wellbeing?

Employee wellbeing research increasingly asks whether AI adds pressure to working lives, including the effort of checking generated work. Mental health research also needs to distinguish temporary stress from sustained burnout.

Upwork’s July 2024 burnout study surveyed 2,500 respondents across four countries, with fieldwork conducted in April and May. The sample included 625 salaried employees, as well as executives and freelancers. Upwork reported that 77% of employees using AI said the tools had added to their workload in at least one way.

The evidence doesn’t establish that AI caused burnout as such. Self-reported wellbeing depends on how the questions are worded and on whether respondents feel comfortable answering honestly. 

Recruitment quality is important, especially for sensitive topics such as stress and burnout. If participants aren’t part of the workforce being studied, or don’t engage with the questions properly, the results can easily become unreliable. Thorough screening helps researchers feel more confident that the responses reflect the group they’re trying to understand.

There’s also value in following the same workers over time. A single survey can show how people feel at one moment, but repeated research can reveal whether that pressure changes as employees become more familiar with AI and their roles evolve.

How big is the skills gap, and how is it being measured?

Skills-based hiring raises another question: Do employers change their recruitment decisions when candidates can show they have the skills needed for the role, even without the usual qualifications or experience?

The World Economic Forum’s (WEF) January 2025 Future of Jobs Report surveyed more than 1,000 employers across 55 economies. The employers expected 39% of workers’ existing skills to change or become outdated between 2025 and 2030. The figure reflects employer projections, not observed skill loss.

How closely will expectations match hiring and training outcomes? Future-of-work skills research needs to track what employers do after identifying a shortage. For example, removing a degree requirement doesn’t show whether applicants without degrees later secure jobs.

What happens to entry-level work and graduate careers?

Entry-level research is examining whether automation reduces the opportunities through which graduates first build professional experience. Losing routine tasks could change how junior workers learn, even when an employer keeps the position.

SAP SuccessFactors’ 2026 Early Talent in Peril research examines hiring pressures and early-career development. SAP surveyed roughly 1,800 early-talent workers and job seekers worldwide, recruiting them using an experience filter and a custom screening question. The sample brings candidates’ experiences into a debate often led by employers.

The disappearing-entry-level-role thesis still needs testing. A hiring slowdown alone can’t establish AI displacement, while a survey restricted to employed graduates overlooks people struggling to enter the workforce. Research on how job seekers move into employment could show how opportunities and early development change together.

Where does remote and hybrid work stand now?

Hybrid work has become an established arrangement among US workers whose jobs allow remote working, despite prominent return-to-office mandates.

Gallup’s September 2025 analysis reported that 51% of remote-capable US employees worked in a hybrid arrangement. The underlying May 2025 web survey included 17,660 employed adults recruited through the probability-based Gallup Panel. Gallup identified 9,174 respondents as remote-capable, narrowing the denominator to a subset of the workforce.

The future of remote work remains difficult to judge through location labels alone. Someone describing their arrangement as hybrid might attend the office once a month or most weekdays. Research into the future of hybrid work needs to distinguish attendance from policy, then examine how either relates to performance.

How well is accessibility and disability inclusion researched?

Disability inclusion remains under-researched relative to the barriers disabled people face at work, with gaps in who researchers can reach.

The International Labour Organization’s (ILO) 2024 study analyzed existing labor-force and household survey data to examine disability-related employment and wage disparities. ILO research also documents gaps in national disability data, which limits comparisons between countries.

Recruitment remains an obstacle alongside inconsistent definitions. General employee samples may contain too few disabled respondents for meaningful analysis and exclude people shut out of employment. Reaching disabled workers as a research population requires specialized, targeted participant recruitment.

Who publishes future of work research, and how?

Workforce research comes from technology companies and research practices. Publishers include Microsoft, Deloitte, WEF, Upwork, LinkedIn, McKinsey, Slack, and Gallup. Boston Consulting Group (BCG) and PricewaterhouseCoopers (PwC) also publish recurring studies. The Society for Human Resource Management (SHRM) provides a professional-body perspective.

Most flagship reports appear annually, although publication timing can make separate research programs look like a coordinated wave. BCG and McKinsey released the reports above within days of each other in June 2026. Closely spaced releases may still rely on different fieldwork periods, so publication dates alone don’t establish that researchers observed the same conditions.

Sample sizes range from fewer than 2,000 respondents in LinkedIn’s survey components to well above 30,000 in the largest studies. Scale matters, but the population deserves at least as much attention. Employer surveys describe organizational expectations, while worker surveys capture individual experience. 

Platform activity offers another view, but it's limited to people using the service. A larger sample won’t correct for missing a relevant group. Reading the methodology before comparing percentages helps you identify which agreements hold up and which apparent contradictions stem from different questions or sampling choices.

How is future of work research conducted?

Future of work research uses four broad sourcing models, often combined within the same report. Each model offers a different view of working life, with limits that researchers need to account for.

• Commissioned third-party panels: Researchers specify an audience and commission recruitment and fieldwork. Panels can make international studies practical, but coverage depends on the available participants. Screening and transparency in panel recruitment affect how confidently researchers can interpret findings.

• Proprietary in-house panels: SHRM’s Voice of Work panel and the Gallup Panel maintain recruited populations for research. Established panels support repeated studies, but panel membership doesn’t automatically make every resulting sample representative. Gallup’s World Poll uses a separate international survey approach.

• Platform and behavioral data: LinkedIn analyzes platform activity, while Automatic Data Processing (ADP) uses payroll records. Behavioral evidence reduces dependence on recall, but reflects the provider’s coverage. Profile updates can reveal changes in skill claims without proving that a worker has mastered a skill.

• Economic modeling: The McKinsey Global Institute combines occupational data with automation assumptions to examine potential workforce changes. Modeling allows researchers to explore scenarios beyond a survey’s timeframe. Findings depend on the assumptions used, and technical potential doesn’t establish when employers will adopt a technology.

Method selection should follow the research question. Employee experience research needs workers’ accounts, while a study of hiring activity may benefit from administrative records. Combining sources can connect reported experience with observed behavior, provided researchers explain where the populations differ.

Data quality also begins before analysis. Prolific’s participant verification and quality checks illustrate the recruitment safeguards research teams should examine when assessing a panel. Even a carefully written questionnaire can’t compensate for responses from people outside the intended population.

Frequently asked questions

What are the biggest future of work trends right now?

2026 research focuses on AI adoption, employee wellbeing, changing skills, entry-level careers, hybrid work, and disability inclusion. AI studies often measure reported use, whereas skills forecasts capture employers' expectations for future requirements. Neither automatically establishes changes across the whole workforce.

What is the difference between future of work research and HR research?

Future of work research investigates changes that could reshape employment over time. HR research often addresses current organizational decisions, including recruitment or training. The fields overlap when a workplace study examines a longer-term shift, such as how automation changes the experience employees need to progress.

How large are samples in major future of work studies?

Sample sizes vary with the population and method. Microsoft’s 2026 Work Trend Index surveyed 20,000 knowledge workers who use AI. WEF’s 2025 Future of Jobs Report surveyed more than 1,000 employers. The larger respondent count doesn’t make the studies interchangeable because employees and employers answer different questions.

How often are major future of work reports published?

Many flagship reports appear annually, including Microsoft’s Work Trend Index and Deloitte’s Global Human Capital Trends. Other programs release findings through multiple survey waves or periodic reports. Researchers should check fieldwork dates separately, as a newly published report may describe experiences collected during the previous year.

Who conducts the fieldwork for future of work reports?

Fieldwork may be commissioned from an external research organization or conducted through a publisher’s established panel. Some reports combine surveys with platform records. Economic modeling can also draw on existing datasets without new fieldwork, so check a report’s publisher and data-collection method separately.

Running your own future of work research

Prolific can help you reach verified knowledge workers, managers, and specific job functions for future-of-work research. You can target the people who match your study and start getting data back in hours.

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