9 Trends Shaping Work in 2026 and Beyond

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CEO expectations for AI-driven growth remain high in 2026—at the same time their workforces are grappling with the more sober reality of current AI performance. Gartner research finds that only one in 50 AI investments deliver transformational value, and only one in five delivers any measurable return on investment.

In 2026, executive teams will have to navigate this difficult tension: delivering on today’s growth targets while nurturing a workforce capable of driving future value amid AI transformation. To do that, they must prioritize:  navigate new realities of the AI era, mitigate emerging threats to organizational performance, and seize the opportunities for a blended human-machine workforce.

To help leaders prepare for the unexpected—or underappreciated—risks that organizations may encounter in 2026, Gartner offers the following nine predictions.  

1. AI layoffs outpace AI productivity gains.  In 2025, we witnessed large, high-profile layoffs attributed—directly or indirectly—to AI. But in reality, people aren’t actually losing their jobs to better-performing AI, at least not yet.  In 2026, these organizations must navigate the painful choices that come with reducing headcount, which will be even more difficult without proven AI-driven productivity gains. If the pace of AI productivity lags behind the work organizations need to get done now, they will have to rehire talent they prematurely laid off, often at greater cost, to meet their targets.
2. Culture dissonance holds organizations back from performance goals.  While it’s true that CEOs are seeking a culture that “performs,” in an AI-driven world, these large shifts are the exception, not the rule. Instead, most organizations are more subtly but consistently expecting more from employees without offering more in return. And employees are noticing.  This top-down performance pressure is leading to profound cultural dissonance in which many organizations’ stated culture no longer reflects the realities of employees’ everyday experience.  This cultural dissonance has real consequences.  In 2026, the most successful organizations will be forthright, both internally and externally, about the reality of their culture and what they expect from employees (e.g. hours, output, and location). Culture can, and should, evolve to meet the realities of the current work environment, but employees must know what they’re signing up for.
3. AI takes a toll on employees’ mental fitness.  Organizations are dedicating enormous effort into determining how work will change because of AI, but they’re devoting far less energy into understanding how people themselves will change. Gen AI adoption in organizations has reached near ubiquity. At the same time, the evidence is mounting of emotional and cognitive damage that can result from prolonged gen AI use, from cognitive atrophy to AI psychosis.  In 2026, AI’s impact on employees’ mental fitness—their emotional, psychological, and cognitive well-being will become an urgent problem in the workplace. This is something organizations are currently largely ignoring.  Companies will also be vulnerable to legal actions that are not currently included in most risk assessments.  As AI becomes even more deeply embedded in daily workflows, the most successful organizations will work to mitigate the psychological and cognitive risks of sustained AI use before these costs undermine both employee well-being and organizational performance.

The other trends are:  AI workslop becomes a top productivity drain.  Forward-thinking employers restore humanity to the hiring process.  Insider corporate espionage risks increase.  Tech-to-trades career paths blossom.  Process pros—not tech prodigies—unlock AI value.  And employees demand compensation for training their digital doppelgangers.

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