STATE OF THE WORKFORCE 2026

A new BambooHR survey finds 81% of business leaders believe employee productivity has increased in the past year. But higher output doesn’t mean the workforce social contract is healthy.

The majority of employees (85%) are experiencing significant workplace stress, almost one-third (29%) fear they can’t make ends meet on a full-time salary, and 81% say they have some desire to change careers entirely.

The gap between what leadership sees and what the workers experience has a name: dignity debt.

Dignity debt is the compounding cost of treating people as a means to productivity rather than as the humans who make productivity possible.

Organizations accrue this cost when they prioritize rapid AI adoption, investor pressure, cost avoidance, and short-term productivity over the transparency, mentorship, career development, and trust that make the professional social contract sustainable.

This report analyzes data from over 900 full-time employees and over 300 business leaders across six major industries to understand the state of the employer-employee relationship in 2026.

Dignity debt becomes visible when companies delay repairing systems they know are strained. In fact, 54% of business leaders admit they’re choosing not to address an operational flaw because the cost or disruption of fixing it is too high.

Workers see the same cracks: 57% agree there’s a fundamental flaw in how their industry operates. These flaws are widely recognized, yet they remain unfixed.

Workers aren’t asking leaders to remove uncertainty, but they’re asking for candor. We found that 9 in 10 workers (89%) want a combination of transparency, honesty amidst uncertainty, and visible leadership.

Of these traits, transparency (58%) is the single most desired leadership quality.

The story of the 2026 workforce isn’t that companies should stop adopting AI or pursuing productivity. It’s that speed without trust, productivity without mentorship, and transformation without transparency all carry a cost.

That cost is dignity debt.

Hiring is still happening, but businesses are doing it carefully. Three in five leaders (59%) expect to grow headcount in the next year, yet leaders cite economic uncertainty or fear of recession (52%), labor shortages (46%), and rising labor costs (44%) as the primary barriers slowing growth.

The labor market isn’t frozen; it’s cautious. Companies are still adding people, but they are doing so in deliberate increments to mitigate risk:

• More than half (52%) of companies increased headcount by only 1% to 9% in the last 12 months.
• Only 16% of companies grew headcount by more than 10% in the last 12 months.

Competition for qualified candidates has intensified across nearly every level of the labor market. Two-thirds of business leaders (67%) say the talent market is more competitive than it was two years ago. Today, more than half (57%) are struggling to find qualified candidates overall.

The squeeze affects roles at every level, from entry-level pipelines to senior-specialized roles. Compared to the job market two years ago, approximately half of workers agree:

• The market for professionals at their organization is more competitive (49%).
• Entry-level positions are more competitive (47%).

Executives are confident their hiring process works, but the data suggests that confidence may be masking a deeper workforce liability.

We’re seeing a stark paradox:

• Four in five executives (80%) say they are confident their hiring process identifies the right talent.
• Yet more than half of leaders (57%) say they struggle to find qualified candidates.

That disconnect is more than a recruiting challenge. It’s an early sign of dignity debt.

When companies believe their hiring process is working, but roles remain open, the burden doesn’t disappear. It shifts to the current workforce: employees absorb the extra workload, teams are stretched thinner, and organizations delay the investments needed to build a stronger talent pipeline.

As hiring timelines extend, we’re seeing companies turn to online job boards that promise speed and scale:

• Almost half (42%) of leaders say their best hire in the past year came from an online job board.
• Just one in four leaders (25%) say their best hire in the past year came from a referral.

But sourcing reach isn’t the same as hiring capacity. Without the infrastructure to move candidates through a thoughtful, timely process, companies can still end up with open roles and internal strain.

Smaller companies feel this strain most acutely. Talent decisions become significantly more mature around the 50-employee mark, when 53% of companies rely on dedicated HR staff for help with hiring.

By contrast, just one in five (20%) companies with fewer than 50 employees have dedicated a HR team. For these smaller businesses, hiring is often still an executive responsibility.

That creates a practical hiring maturity gap: Companies may be confident in their judgment, but many lack the dedicated recruiting infrastructure needed to compete in a tighter labor market.

Ultimately, confidence can become a liability when it masks underinvestment. When companies assume their hiring process is working—but still can’t fill critical positions—they borrow capacity from those in the business. That borrowed capacity is dignity debt, and the interest shows up as burnout, disengagement, attrition, and a weaker talent pipeline.

In 2026, workers aren’t just considering new jobs. Many are questioning whether their current career path is still worth it.

Job-switching is normal in a healthy labor market. Career flight signals dignity debt. Job-switching could mean taking a new role in the same field, whereas career flight is the decision to change one’s professional trajectory entirely. Workers are losing confidence in the systems, industries, and career paths they’ve built their professional lives on.

We found that beneath the surface of daily operations, many organizations are on the brink of major talent disruption:

• More than half of workers (55%) are currently looking for or considering a new job.
• Four in five (81%) want to change careers or industries entirely.
• Nearly half (43%) would switch industries for a raise of 20% or less.

Notably, healthcare workers were the most attached to their industry and tech workers the least:

Career flight goes much deeper than surface-level retention issues. A significant proportion of workers cite serious concerns, including:

• Burnout or a toxic workplace (50%)
• Lack of growth opportunities (46%)
• Ineffective leadership or bosses (25%)

These concerns signal that workers are absorbing the cost of unresolved organizational strain. When people leave because the work feels toxic, growth feels blocked, or leadership feels ineffective, the organization isn’t just losing talent; it’s losing credibility.

Organizations that prioritize workers’ wellbeing will ultimately win top talent and secure the stability that comes with long-term retention:

• Nearly three in four workers (74%) say work-life balance and flexibility are the main reasons they stay.
• More than half (57%) cite financial stability.

Even as workers question the long-term future of their role, company, or industry, human-first concerns should be addressed to retain top talent.

That disconnect is where dignity debt builds. AI may be helping companies produce more output, but without clearer workload expectations, training, measurement, and role design, employees are left with more pressure to perform and less clarity about what success looks like.

The employee perspective demonstrates how this shows up in daily operations:

• Nearly three in four workers (73%) say productivity has increased at their organization—slightly less than the 81% of executives who share this view.
• More than half of workers (54%) say AI has disrupted their daily work.
• Nearly half of workers (47%) report negative reactions toward workplace AI tools.

This pressure is becoming a workforce issue, not just a technology issue. Leaders aren’t only encouraging AI adoption; many are attaching performance expectations and headcount decisions to it.

• More than half of leaders (57%) say they would fire employees who refuse to adopt AI.
• Two in five businesses (39%) say they cut headcount in the past year by using AI in place of humans.

Even as organizations prioritize AI, they often overlook training, upskilling, and role redesign to accommodate rapid advancement. In fact, nearly three in four leaders (74%) say their employees already have the skills needed for an AI-enabled workforce.

AI can be a productivity engine. But when organizations use AI-enabled productivity to raise expectations before redesigning work, clarifying measurement, or addressing employee concerns, it accelerates distrust.

The issue isn’t AI adoption itself; it’s AI adoption without workforce design.

Despite the focus on rapid AI adoption and rising productivity expectations, human-centered soft skills remain highly durable: 70% of workers say soft skills are now a significant or primary focus in performance reviews, and 70% of leaders say AI will never fully replicate human contributions.

As AI reshapes the tools of work, employees agree that the skills that matter most can’t be easily automated:

• Problem-solving under pressure (49%)
• Clear communication (46%)
• Managing leadership and people (40%)

Soft skills represent one of the key opportunities to rebuild trust and human dignity as AI reshapes the future of work.

The companies that win in 2026 will rebuild trust, redesign work, protect human capacity, and reinvest in the systems that create future talent.

The data throughout this report points to five clear action areas:

• Making transparency operational
• Fixing a known flaw publicly
• Rebuilding the talent strategy
• Redesigning work alongside AI adoption
• Investing in uniquely human core skills

Workers have named their top leadership ask: transparency (58%).

Transparency can’t live in a single town hall or quarterly memo. It needs to become an always-on operating system:

• Share AI roadmaps openly, including how adoption will affect roles, workloads, and team structures.
• Communicate what you know, what you don’t know, and what you’re working on, especially during periods of change.
• Create regular, two-way channels where workers can surface concerns and see them acknowledged.

More than half of leaders (54%) admit they’ve deferred fixing a known operational problem. And workers see it. The silence is compounding dignity debt faster than almost anything else.

Organizations don’t need to fix everything at once. They need to pick one visible, acknowledged flaw and address it openly. The act of fixing something everyone already knows about rebuilds more trust than a messaging campaign ever could.

The entry-level pipeline is collapsing, and the mentorship infrastructure that develops junior talent into senior leaders is being redirected toward AI review. To preserve talent pipelines and secure future talent, organizations need to:

• Reimagine entry-level pathways rather than eliminating them in favor of AI-augmented senior roles.
• Reinvest in mentorship as a strategic priority, not a nice-to-have that gets squeezed out by AI workflows.
• Build internal mobility programs that give workers a visible path forward within the organization.

AI adoption without work redesign is dignity debt's most powerful accelerant. Organizations deploying AI need to pair that implementation with:

• Measurement clarity: Define what productivity actually means in an AI-augmented environment, beyond proxy indicators.
• Workload redesign: Ensure AI is reducing burden rather than simply raising expectations.
• Fairness and transparency: Communicate openly about how AI affects roles, evaluation, and career trajectories.

As AI reshapes what work looks like, the skills that matter most are deeply human. Workers identified the capabilities they believe will be most valuable going forward:

• Problem-solving under pressure (49%)
• Clear communication (46%)
• Managing leadership and people (40%)

These are the skills that AI can’t replicate and that organizations will depend on as they navigate complexity, change, and uncertainty. Investing in them sends a clear signal: Human contribution is valued here, and it’s shaping the future.

If current trends continue, the next workforce crisis won’t be about skills—it will be about organizations' willingness to prioritize workers' dignity.

Organizations are already seeing early signals:

• Workers aren’t just leaving jobs—they’re leaving careers
• Entry-level pathways are narrowing
• Trust in leadership is eroding despite productivity gains

This is what makes dignity debt uniquely dangerous. It doesn’t break systems immediately. It weakens them gradually, until the people those systems depend on opt out entirely.

The companies that act now—by rebuilding trust, redesigning work, and reinvesting in people—will define what sustainable performance looks like in the AI era.

The ones that don’t may find that by the time the labor market tightens again, the workforce they’re counting on is no longer interested in staying.

The majority of tech leaders (57%) say the AI mandate is coming from investors, not the operations floor. The result of these investor-driven priorities is an industry facing significant dignity debt in the form of hiring challenges, new AI-centered expectations, and a growing employee experience deficit.

For example:

• More than half of tech workers (54%) say AI-management roles are becoming the most valuable.
• 43% of tech workers say AI has not reduced their workload, and they now spend more time reviewing outputs and managing the additional work AI creates.
• 43% of tech workers say senior engineers now spend more time reviewing AI-generated code than mentoring.

A brutally competitive job market may be limiting workers’ mobility, providing a false sense of stability as companies potentially undermine future retention by pulling back on flexibility and asking workers to absorb more AI-related pressure.

Among workers who are currently employed in the technology industry:

• 37% of tech workers have applied to far more roles for fewer responses than at any other time in their careers.
• 32% of tech workers suspect AI screening filtered them out before a human reviewed their application.

Still, there are glimmers of optimism within the data. First, more than half of tech workers (55%) say that soft skills outrank technical ability in their organization’s priorities. And nearly four in five tech leaders (78%) say remote or hybrid policies are a meaningful recruiting advantage, even as hiring pressures mount.

To prevent further dignity debt from accruing, the technology industry should continue to invest in soft skills and consider easing RTO mandates. Additionally, tech executives must continue to try to strike a balance between meeting investors’ expectations while implementing AI in ways that meaningfully redesign the workplace.

Patients are bringing AI into care settings faster than many healthcare organizations are using it clinically—and bringing new liability risks.

Today, most healthcare workers (86%) have treated patients who arrive with AI-assisted self-diagnoses. Additionally:

• More than one-third of healthcare workers (37%) say patients frequently arrive with AI-generated self-diagnoses.
• Nearly two-thirds of healthcare workers (63%) say AI-generated self-diagnoses impact patient care.
• Only 14% of healthcare workers say patients never arrive with AI-generated self-diagnoses.

Nearly half of healthcare leaders (47%) say this situation is already creating liability exposure.

Healthcare facilities are chasing efficiency through AI while facing economic headwinds:

• Nearly all healthcare leaders (94%) say inflation has meaningfully affected their organization.
• Nearly two-thirds (62%) of healthcare leaders say rising insurance premiums will have a drastic impact in the next year.

While AI adoption promises to boost productivity, its role so far has remained outside patient care. Just 30% of practitioners have deployed AI anywhere near clinical decision-making.

Staffing stress is a known issue in healthcare, but the findings show it’s more than a concern—it’s an ongoing crisis.

• Nearly two-thirds of healthcare workers (65%) report compassion fatigue, burnout, moral distress, or secondary traumatic stress.
• More than half of healthcare leaders (55%) say staff burnout is their most pressing challenge.

Ultimately, this leaves healthcare providers less able to care for patients. Nearly half of healthcare leaders (47%) say staffing shortages have forced them to adjust, delay, or limit care or services.

Nearly four in five finance leaders (79%) agree that undisclosed AI and data practices create reputational risk.

However, only 57% of finance leaders say their organizations proactively disclose AI involvement to clients. When employees need to make daily operational decisions about AI, two in five finance leaders (40%) admit they still don’t have or enforce formal, documented AI risk frameworks.

The gap between AI adoption and AI transparency is becoming a reputational and regulatory risk:

• Three in five finance leaders (60%) say clients have expressed concerns about AI use.
• Half of finance leaders (51%) say they are unprepared for regulatory scrutiny of AI decisions.
• Half of finance leaders (51%) worry AI will erode human judgment in their work.

Finance’s biggest talent competitor is no longer just another bank. Four in five finance leaders (81%) say the primary talent threat has shifted away from traditional financial firms.

Instead, finance workers are among the 81% of workers who say they’re considering career flight to an entirely different industry. Finance organizations must now compete both within and outside of the industry to secure the talent they need.

Nearly half of F&B leaders (49%) report that they replace more than half of their entire workforce every year.

Voluntary turnover makes up a significant proportion of this churn. For departing employees, nearly all quitting drivers (95%) are tied to low compensation, schedule unpredictability, or toxic floor culture.

Low wages also limit employee loyalty. Two-thirds of food workers (67%) are living paycheck to paycheck, working multiple jobs, or earning a base wage they describe as insufficient.

But instead of investing in retention—and paying down dignity debt—it’s more common for F&B businesses to spend on always-on recruitment. Replacing a single hourly employee costs most food businesses between $2,500 and $5,000.

F&B organizations are adopting AI, but mostly behind the scenes. Nearly all food leaders (96%) are exploring AI tools, primarily for back-of-house functions such as staff scheduling and inventory management.

However, AI has not found its footing in customer-facing use cases: 40% of food leaders report declines in customer satisfaction or repeat-visits after AI-driven changes.

While other industries’ entry-level pipelines are shifting roles from humans to AI, construction stands out by defying the trend.

However, its labor pipeline is still under pressure. Four in five construction leaders (80%) are concerned younger generations aren't entering the trades quickly enough to sustain the industry. For nearly three in four construction leaders (72%), skilled labor shortages are already affecting their business.

Instead of investing in their workforce, construction leaders are making difficult tradeoffs to weather financial and logistical pressures:

• More than two-thirds (69%) of construction leaders have adjusted headcount or compensation because of rising material costs and supply chain disruptions.
• Nearly half of construction leaders (47%) have delayed, reduced, or frozen hiring as a direct result of rising costs.

For construction workers who are employed, 84% say material sourcing challenges have disrupted their work in the last six months.

In addition to this instability, 77% of construction workers feel their profession is undervalued, largely because the inherent complexity of their job is not recognized by people outside their industry.

The physical nature of construction creates a natural buffer against AI disruption. And construction workers agree:

• Four in five construction workers (81%) feel their skills protect them from AI replacement.
• Two-thirds of construction workers (66%) would recommend the industry as a career path for younger workers.
• Nearly half (48%) of construction workers believe the industry will face an even more significant labor shortage in the next five years—meaning there will be ample job opportunities.

However, leaders still see change coming. Nearly half (48%) of construction leaders believe autonomous or robotic technology will meaningfully reduce the need for human labor within the next decade.

Educators agree (90%) that AI use is negatively affecting student learning, and 60% of educators predict AI will leave students underprepared for professional environments.

Educators report detrimental effects on students’ learning in the following areas:

• Writing ability (56%)
• Creativity (54%)
• Initiative (53%)

Three in four educators (75%) say students are more likely to use AI to avoid learning than to enhance it.

At the same time, AI is creating additional burdens for educators who are already facing widespread burnout. Today, educators spend more time:

• Detecting AI-generated work or reteaching concepts (41%)
• Correcting the downstream effects of AI (38%)

Educational institutions are doing little to support staff. Two-thirds (66%) of educators say schools are adopting AI faster than teachers are being trained to manage it.

Nearly four in five education leaders (79%) rank budget constraints as their top challenge—contributing to a workforce that feels overstretched and underpaid.

For educators who are considering leaving, top reasons include:

• Burnout (59%)
• Low compensation (41%)

This attrition ultimately impacts students: 60% of education leaders say teacher or staff attrition has disrupted their ability to deliver quality outcomes.

Surprisingly, just one in four educators (24%) are seriously considering leaving the profession altogether—a relatively low rate of career flight that reflects the industry’s mission-driven nature.

BambooHR conducted this research using an online survey prepared by Method Research and distributed by RepData among n=1,248 adults (age 18+) globally. The research was split amongst two separate audiences who each saw a unique set of questions.

n=926 full-time salaried employees in the US who are desk, frontline, or hybrid workers. This includes a subgroup of at least n=150 each from the construction, technology, education, healthcare, finance, and food and beverage industries. The sample has a spread of gender, age, work type, company size, and geography groups represented.

n=322 adults (age 18+) in the US who are business owners or C-suites in small or mid-sized organizations. This includes a subgroup of at least n=50 each from the construction, technology, education, healthcare, finance, and food and beverage industries. The sample has a spread of small and mid-sized businesses represented.

Data was collected from March 24 to April 9, 2026.

BambooHR^® is the leading HR software platform that sets people free to do great work^®. Intuitively designed and user-friendly HR, payroll, and benefits administration in one unified ecosystem means less focus on process and more on growing what matters most—people.

With AI-powered insights and comprehensive reporting, HR leaders gain the data they need to craft strategies to enhance employee engagement and retention while effectively measuring success. Trusted by HR professionals in over 34,000 companies across 190 countries and 50 industries, BambooHR supports millions of users throughout their employee journey.