AI Trends on Upwork: How AI Is Reshaping the Way Humans Work
2/16/26, 13:23 AI Trends on Upwork: How AI Is Reshaping the Way Humans Work
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Resources Research AI Trends on the World’s Work Marketplace: How AI Is Reshaping the Way Humans Work
AI Trends on the World’s Work
Marketplace: How AI Is
Reshaping the Way Humans
Work
Jun 30, 2025
AI isn’t replacing humans; it’s reshaping the way humans work. That’s the
core finding of our latest research at the Upwork Research Institute. Amid
constant headlines predicting mass automation and AI taking away jobs,
our platform data tells a more nuanced — and more actionable — story: AI
is augmenting work, creating net-new opportunities for people, and
catalyzing both professionals and businesses to evolve.
Drawing from millions of jobs and billions in freelancer earnings across
more than 130 categories of work, our analysis reveals several key trends:
1. The combination of humans and AI earns trust and wins work.
2. AI is fueling growth in both technical and non-technical fields.
3. AI substitution is real, but limited and transitional.
4. Job evolution is creating new generalist opportunities for
professionals.
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With this report, we’re building upon our prior research, which
demonstrated that AI is not just reshaping technical fields but is also
quickly expanding into non-technical domains like design, marketing, and
translation. In this new research, we drilled down further to understand
how AI has been changing the nature of knowledge work across our
platform over the past six months¹.
Observing client and freelancer behavior in this robust dataset gives us
many indicators of what’s at play in the broader labor market, and the
thriving freelance workforce illuminates the skills, hiring patterns, and
work opportunities arising in the new age of AI.
Human+AI earns trust and wins
work
While interest in how much AI can take on grows, there’s no question
humans still need to be involved in delivering work. Our clients express
greater trust in outcomes where humans remain in the loop, and the trust
gap between AI alone and AI+humans is widening (see Figure 1). Clients
place
more than double the amount of trust in human-AI work than they do
in AI-only outputs. At the same time, acknowledgement of the productivity
and quality gains AI-enabled workers can offer is growing. We see trust in
human-AI collaboration now rivals the trust placed in human-only work.
Our internal research also shows that 66% of clients express high levels
of trust in outputs from freelancers using AI tools to deliver work, with
only 26% trusting work delivered by AI alone².
Figure 1: Upwork clients’ response on a 7-point scale (with 1=not at all and
7=very much) to the question: "How much would you trust the work
delivered by..."
External research further supports this. Per a global KPMG study, the
majority of people (54%) simply do not trust AI systems today. This is in
part driven by the fact that top-tier large language models (LLMs) still
currently experience average error rates of 10-15% . As many experts and
academics have argued, continuing to have humans in the loop over the
long term is critical to preserving trust and other uniquely human
dimensions of work.
The research is clear: The real edge lies in human-AI collaboration, where
trust and results outperform those achieved by AI alone. Our findings
indicate that while AI is poised to take on more tasks, clients continue to
rely on human expertise — especially in fields like corporate law, financial
planning, design, and project management — to lead, validate, and deliver
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outcomes.
AI is fueling growth in both
technical and non-technical fields
Professionals using AI to enhance their work is becoming increasingly
common across numerous fields. When people use AI tools to support
their work, the results are better, and clients tend to trust that work more.
Upwork customer insights also illustrate a shift toward augmentation over
automation. We found freelancers are using AI for work augmentation 71%
of the time, and automation only 29% of the time. The methodology
behind this finding aligns with Anthropic’s Economic Index that assesses
conversations with Claude, which also shows that the majority of AI use
leans toward augmentation compared to automation.
Because of the augmenting effect of AI, combined with upskilling in
uniquely human or “power” skills, we’re seeing over 5% year-over-year
growth across many non-technical categories on our platform, a
significant portion of which were assumed to be ripe for disruption,
automation and replacement due to AI:
In both Virtual Admin Assistance and Project Management, people
don’t trust AI to fully manage their work and personal information.
However, AI tools are making assistants and project managers more
productive.
Graphic & Presentation Design and Product Design are being
augmented, as human creativity is boosted by AI-powered design
tools.
In complex Corporate & Contract Law, sensitivity and nuance
require a human touch and critical thought, though AI tools are
helping legal professionals complete rote tasks with fewer errors.
Financial Planning and Accounting & Bookkeeping represent high-
stakes work where human judgment, advice and decision-making
are crucial. But, those finance and accounting professionals are
becoming more effective, analytical and accurate by applying AI
tools.
Figure 2: Year-over-year trends in freelancer earnings within categories of
work. Darker shades of blue denote higher growth.
We’re also seeing significant growth in more technical fields within AI &
Machine Learning and AI Integration. In the first quarter of 2025, Gross
Services Volume (GSV) in AI-related work on Upwork grew 25% year-
over-year, while growing 52% year-over-year in the Prompt Engineering
subcategory. Upward trends are accelerating in generative AI modeling, AI
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agent design, supervised learning, and multimodal AI development, with
no end in sight to opportunities in these burgeoning fields.
Activity on our marketplace also shows that companies are specifically
looking for AI builders. Two of the top three platform AI search queries
over the last month are “AI agent” and “AI developer.” These searches are
met with a deep talent pool of approximately 80,000 global AI specialists
on Upwork who have expertise in designing, developing, deploying, and
training AI systems.
What’s more, freelance professionals doing AI-related work on Upwork
continue to command higher earnings. On average, they receive more
than a 40% rate premium per hour compared to freelancers doing non-AI-
related work — another overwhelmingly positive augmentation effect
from AI.
AI substitution is real, but limited
and transitional
With any technological transformation comes natural attrition of
rudimentary tasks that can be automated. This progression causes
professionals in affected fields to adjust and diversify their skill sets,
redefining the human role in impacted work categories. This causes
temporary instability in demand within a select few categories, where our
platform data indicates that the lowest-value, most transactional jobs are
being — and will continue to be — substituted.
Our previous research revealed AI substitution in lower-value, more
rudimentary work found in both the Writing and Translation categories.
When looking at the last six months, this trend continued, specifically in
Content Writing as well as Sales & Marketing Copywriting. This is due to
the rapid advances by generative AI models like ChatGPT and others in
writing quality for professional settings.
Broader industry research has long predicted this level of automation, so
this disruption isn’t surprising. The introduction of more task-specific
tools has accelerated this trend in other categories. For example, we saw
categories like Market Research and Data Extraction affected by the
February 2025 launch of ChatGPT’s Deep Research capabilities. We
observed similar trends in Photography, due to image generation
capabilities in tools like DALL-E, Adobe Firefly, and Canva becoming
viable options for business purposes.
Figure 3: Year-over-year trends in freelancer earnings within categories of
work. Darker shades of orange denote higher levels of replacement or
substitution effects.
Categories where substitution of lower-complexity, lower-value work is
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occurring only account for a very small percentage of Upwork’s total GSV.
As AI substitutes for lower-level tasks in those categories, freelancers are
embracing the tools and upskilling necessary to move into higher-level
work such as designing complex research, data analysis, content strategy,
or creative art direction. These jobs rely less on the nuts and bolts of
execution (more ably handled by specific AI tools) and more on complex,
uniquely human skills like strategic thinking, communication, and
creativity.
This opens up the aperture for workers in fields experiencing AI
substitution, giving them opportunities to grow professionally. In fact, our
previous platform findings highlighted 268% year-over-year growth in AI-
related jobs in
non-technical fields like design, marketing, and translation.
Job evolution is creating new
generalist opportunities
Some categories of work that aren’t impacted by immediate augmentation
or substitution from AI are still experiencing a correlated evolution of jobs
and skills. For example, we’re seeing this take shape in Web, Mobile &
Software Development through changing demand for certain services or
skill sets.
Repetitive code generation work is less sought-after due to LLMs and
agents like Anthropic’s Claude and OpenAI’s Codex, but clients are still
looking for experienced coders for higher-complexity and generalized
integration needs. In fact, we found that freelancers with jobs requiring
coding skills for at least 25% of the work now earn 11%
more for the same
jobs compared to November 2022, when ChatGPT launched. This is
evidence that clients are having freelancers put coding skills to higher-
order, broader use, rather than on routine, lower-value coding tasks.
Other evolving trends and skills that are migrating work within the
category include vibe coding (the modern-day low-code/no-code
approach) using tools like Mistral Code, Lovable, and Bolt. Traditional
coding skills aren’t necessarily required for the work, and the work
opportunities shift to a different subcategory. While this might initially
present as substitution in the original coding-based subcategory, it’s
offset by augmentation or net-new work cropping up in a tangential non-
coding-based subcategory like data analysis and testing, IT security and
compliance, or AI app integration.
Work category evolution like this leads to the rise of the “generalist,”
where clients are looking less for the traditional software engineer and
more for talent who can work with AI to code, design, and apply uniquely
human skills like creativity, business logic, critical thinking,
communication, and problem-solving. Once again, we’re seeing that while
AI is influencing the job to be done within these evolving categories, the
work still requires human involvement that can’t be replicated by AI.
Adaptation for the human + AI
workforce
This research brings clarity on what’s
really going on with AI and work.
Signals from the Upwork marketplace tell us that AI’s impact on work is
omnidirectional, varying depending on the category of work and the skills
required. The augmentation-substitution-evolution framework visible on
Upwork today can help leaders and professionals understand new
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nuances in hiring, skilling, and staying ahead in an increasingly AI-enabled
market.
To further accelerate the study of AI’s impact on work and labor markets,
we’ve established an Upwork Economic Advisory Council that brings
together leading academics to advise on human-AI workforce design,
identify labor market shifts, and guide advancement of Upwork’s human
and AI-powered platform. To learn more about the Economic Advisory
Council and all of the Upwork Research Institute’s latest research on work
trends, visit upwork.com/research.
About the author
Kelly Monahan
Dr. Kelly Monahan is the Founder and Managing Director of the Upwork
Research Institute, where she leads research on emerging technologies,
workforce transformation, and the rise of independent professionals.
Previously, she held leadership roles at Meta, Accenture, and Deloitte,
shaping future of work strategies for global organizations. She’s the
author of two books, including the USA Today bestseller Essential, and a
sought-after keynote speaker on talent innovation. Kelly holds a Ph.D. in
organizational leadership and blends behavioral science with workforce
strategy.
¹ Upwork platform data is organized across three levels. Level 1 (L1)
categories represent broad domains of work, Level 2 (L2) captures
specialized areas within those domains, and Level 3 (L3) reflects task-
level attributes. 62 Level 2 categories represent a robust sampling of work
taking place in knowledge settings. As a reference point, the Bureau of
Labor Statistics groups major occupations into 23 categories. Our
analysis enables us to look deeper than high-level occupation
classifications to show more specifically how roles, skills, and tasks are
evolving alongside AI.
² Client survey conducted in October 2024 asking the degree of trust
clients have with freelancer-delivered and AI-delivered work. (n=673)
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