Better Work, More to Learn: The 2026 AI Worker Report
Better Work, More to Learn: The 2026 AI Worker Report
Key findings:
AI skills are going mainstream. Job postings that call for using AI grew 159% year over year, triple the growth rate of jobs developing and deploying AI (53%).
AI is making work more enjoyable. 52.6% of workers say AI has made their work more enjoyable, compared to just 5.5% who say the opposite.
The benefits of AI rise with seniority. 76.5% of senior leaders say AI has improved their work satisfaction, compared to 39.8% of entry-level employees.
The push to use AI is outpacing training. 39.3% of workers say their employer actively encourages AI use, but only 28.9% say they receive enough training, and 37.2% are learning the tools on their own.
AI is taking over entry-level tasks. Workers most often use AI for research (52.1%), summarization (41.6%), and drafting text (40.9%), tasks that have traditionally taught new hires how to do the job.
AI is raising expectations and shortening the shelf life of skills. Nearly half of workers (49.9%) report higher productivity expectations, and 44.6% say AI is making technical skills outdated faster.
Workers are divided on how much AI they want next. 25.1% plan to leave their jobs due to AI-related concerns, and when thinking about their next role, 30.5% want less AI involvement while 20.4% want more.
AI has infiltrated most workplaces, with 82.5% of workers reporting some level of AI use in their roles, according to ZipRecruiter’s new worker survey focusing on AI in the workplace.
AI-enabled jobs, meaning non-tech roles whose job descriptions mention AI, now make up 4.3% of all postings on ZipRecruiter, up from 1.9% a year ago. Additionally, AI tech roles, such as machine learning engineers, are up 53% over the same period, and AI infrastructure roles, such as data center technicians, are up 169%.
But what function does AI serve for workers? Who benefits from its use? How do workers access new technology and tools? The answers, as ZipRecruiter’s AI Worker Report shows, depend on the job.
“As the end of 2026 approaches, AI is becoming unavoidable in the workplace. But for many workers, that’s looking like a net positive change. As AI automates more friction, workers find that they can focus on the aspects of work they actually like. But the training necessary to learn how to use new technology isn’t making its way to the bulk of the workforce, leading to a self-teaching burden placed on workers themselves. As expectations rise, the workers without access to formalized training are the ones most at risk of falling behind.”
Workers enjoy work more with AI
Overall, most workers (52.6%) say AI has made work at least somewhat more enjoyable, leaving those who say work is now less enjoyable in the minority (5.5%).
Workers are predominantly using AI tools to:
Reduce manual reading and writing, like research and information gathering (52.1%)
Summarize documents and meeting transcripts (41.6%)
Draft and edit text (40.9%)
As our attention spans have decreased over the last few decades, workers are seemingly devaluing tasks that take a lot of focus, like reading long documents or writing long emails, and are instead favoring technology and tools that take on the brunt of that work.
This survey also highlights the main ways workers are engaging with the AI tools they say are improving satisfaction. When asked about building custom AI solutions and workflows, the most common approach is configuring existing AI tools or plugins (36.1%) rather than building an agent or a custom process. Meanwhile, 31.6% of workers have not built or customized any AI workflows.
This tells us that workers are more likely to use existing tools they have at their fingertips than to experiment and build something new. This might sound like a given, but there exists a massive gap in training and implementation of AI tools across workplaces, so there is room for improvement in figuring out the best way to integrate AI into everyday work to actually level up the output.
AI use soars with seniority
The difference in how workers across career levels view AI satisfaction improvements underscores a growing issue with AI implementation. Senior leaders are far more likely to say AI has improved their job than individual contributors (ICs) and entry-level workers.
Senior workers are finding work more enjoyable due to AI, and that could be the reason they use it more frequently. Those at the top are utilizing tools to streamline friction, like reading and writing, but the base of the workforce, the people building the end products, are feeling a little left behind.
Entry-level workers feel this the most. Not only are they not seeing the training trickle down to their roles, but many of the tasks AI is automating, like taking meeting minutes, summarizing research, or drafting text, were all tasks that entry-level workers once owned. There are now fewer opportunities to learn how to work, and the bar for entry-level workers is rising.
Trickle-down training doesn’t land
AI is making work easier and more enjoyable for those at the top of the seniority ladder, and that might be by unintentional design. Senior leaders (directors, VPs, C-suite) report high rates of having any AI training (83.5%) at their company. In contrast, individual contributors (46.4%) and entry-level workers (45.3%) are far less likely to receive AI-specific training and are left to teach themselves.
Notice that the graph below looks very similar to the one showing how AI improves work satisfaction among these same workers. There may be a distinct link between the training workers receive on AI use and how useful AI actually proves to be for their roles.
This disparity may stem from how companies deliver training: leadership receives broad, strategic overviews that fit their high-level role, while the more front-facing staff, like ICs and entry-level workers, need more hands-on instructions for daily tasks. When companies offer generic, high-level AI overviews, most workers may find the training inadequate for the reality of their jobs. Senior leaders are able to reduce more of the friction in their work more easily.
This also shows up in how these different workers utilize AI in any capacity. Entry-level workers (26.6% don’t use AI at all) and ICs (30.5%) use AI less frequently compared to senior leaders (only 5% say they never use AI at work).
Many employers may not even know they are missing the mark on training. While 62.8% of workers say they receive any form of AI training from their employer, only 28.9% receive extensive training. This is despite 39.3% of workers saying their employer actively encourages AI use within the company. Actively encouraging AI use is not an effective way to increase productivity if workers aren’t sure what to do with the tools at their disposal.
The training gaps could also come from the fact that AI is evolving rapidly, faster than employers can keep up with. Many workers are feeling that AI is making their skills decay faster.
Skills are rising and falling faster
Even though employers have yet to crack the code on AI training, some skills are already outdated. Just under half of workers, 44.6%, say AI has increased the speed with which their technical skills become outdated. For workers who use AI daily, over two-thirds (67.3%) feel AI has sped up their skill turnover.
The speed of skill decay and rapid changes to requirements is causing some workers to feel some AI-nxiety, mostly concentrated in workers who use AI the most. Middle management is most worried about AI displacing their skills, with 45.3% stating they are somewhat or very worried about this. Meanwhile, the top of the career ladder sees the most extreme concern, with 27% of C-suite workers saying they are very worried about AI replacing their skill set, despite being the demographic most likely to use these tools.
This becomes a challenge when employers are also changing the demands asked of workers. In ZipRecruiter’s recent survey of employers on AI in the workplace, 57% of employers say they have increased productivity expectations for workers as a result of AI. Workers sense this too, with this worker survey showing half (49.9%) of workers seeing increased productivity expectations from their employer. Workers are left in limbo—limited training, changing requirements, increased expectations, and seemingly nowhere to turn for a stable source of truth.
Workers are stuck with self-teaching AI skills
The lack, or insufficiency, of formal training in the workplace is leading many workers to teach themselves how to use AI tools, decentralizing learning and putting the burden on the shoulders of workers directly. Over a third of workers, 37.2%, learn entirely on their own because their employer provides no training. The self-teaching burden falls heavily on specific demographics, like entry-level workers (54.7% self-teach) and women (45.4% self-teach, vs 29.9% of men), showing that the disjointed AI training regimen within companies could be further expanding existing access disparities in the workplace, instead of reducing them.
Training is vital to helping workers understand what’s expected of them. Many are already embracing the ways AI is reshaping work, but without formal support from their employer, the outputs will stop short of any real impact. Even though many workers are learning AI skills on their own, only 34.3% of workers believe they can master AI skills without help. An additional 40.2% report they could master these skills if given proper training. The door is wide open for employers to regulate and formalize AI training to unlock the full potential of their workforce.
“Formal training is only part of the picture. Some of our most valuable AI learning comes from experimentation and peer-to-peer sharing: employees showing each other how they’re using these tools in their day-to-day work. That’s the kind of practical, role-specific learning a high-level overview can’t deliver. People teams don’t have to build everything from scratch. The best use cases for AI implementation often already exist inside the organization, and the opportunity is to make it easy to share.”
Some workers are building AI skills off the clock
Workers’ relationship with AI isn’t confined to the office. With formal training at work falling short and expectations climbing, many are building their AI skills on their own time. While 82.5% of workers use AI at work, only 78% use AI at home, meaning not all workers are keen to carry this technology home with them.
But for those who are looking to engage off the clock, side hustles have turned out to be a great way to test the waters with new tools. For workers who have a side hustle:
35% said they started their side hustle in part to experiment with new AI skills
30.1% said they started their side hustle to explore a new career path, inspired by AI changes
30.1% said that AI tools made starting a side hustle easier and faster
For other training opportunities outside of work:
44.5% of workers are engaging in self-paced learning, like watching video tutorials or taking online courses
36.3% are building personal projects or side applications
33.5% are following industry newsletters, tech blogs, research papers, or podcasts on AI to stay on top of the latest industry news
Fun fact: When asked which AI tool they preferred to use for their work, workers point to ChatGPT being the crowd favorite (39.8%), with more workers preferring this tool than Gemini, Copilot, and Claude combined (38.7% together).
“Job seekers can’t wait for their next employer to provide them with AI training. The data shows training is lagging behind expectations. They’ll need to take the initiative to learn and experiment on their own—this is their competitive edge. They can practice prompting, optimizing workflows, and using their critical thinking to judge and refine AI’s output. Self-guided learning both boosts their confidence and builds their toolkit.”
AI might lead to the next wave of worker turnover
The rapid rise of AI in the workplace has workers thinking about the future of their careers. Over two-thirds (68.1%) of workers say that AI has either already reshaped or will reshape their career path. Workers are mostly focusing on bolstering their human skills (40.4%), AI upskilling (38.7%), and redefining their long-term goals (36.1%).
And many workers are looking critically at how their employer embraces AI. A quarter of workers, 25.1%, say they are planning on leaving their current job because of the way their employer views or uses AI. A further 30.9% say they have elevated concerns about the current AI use at their company. That could be due to the employer not using AI, not having any guidelines or guardrails in place, or ethical and privacy concerns. While workers have a mix of thoughts and expectations about how AI should or shouldn’t be implemented at work, they are paying close attention to the moves their employers are making. And that could lead to a wave of AI-induced job turnover down the road.
What that next move will be is less certain. Half of workers signal that their next job will have a different level of AI involvement than they do now, but they are split on what that actually looks like. Two in ten workers, 20.4%, are itching for more AI integration in their future jobs. Three in ten workers, 30.5%, are aiming for future roles with less AI involvement.
What is clear, workers are paying attention to how employers are rolling out, or shying away from, AI mandates. In a job market defined by fearful workers hugging tightly to their jobs, this might not be a major issue for now. But when market activity heats back up, workers are on the edge of their seats, waiting for the right time to make their next move.
Methodology
ZipRecruiter conducted a nationally representative online survey of workers between September 8 and 21, 2026, to explore worker attitudes toward and usage of AI in the workplace. The survey was administered to a PureSpectrum panel of 1,500+ verified US workers.