New Economy Skills 2025
Page 4 of 40 · WEF_New_Economy_Skills_2025.pdf
Executive summary
AI’s promise will only be realized
if people have the skills to
harness it
Generative AI (genAI) and advanced technologies
are unlocking new frontiers of growth, but only if
people have the skills to harness them. According
to Goldman Sachs research,1 genAI could raise
global GDP by 7% (nearly $7 trillion) over a 10-year
period. Yet that potential will remain unrealized
without a workforce that is fluent in AI, data and
digital skills to deploy new technologies effectively.
Drawing on data from education industry and
workforce technology providers, as well as
from a review of existing research and in-depth
consultations with experts, this report defines the
digital skills needed for the new economy; analyses
the global supply and demand of these skills;
proposes a framework for effectively assessing,
developing and credentialling digital skills; and
highlights frontier practices from around the world.
AI is transforming which digital
skills are needed and how they
are used
AI, data and digital skills are the most exposed to
transformation; that is, AI is more likely to change
the way these skills are used. In contrast, human-
centric skills, are expected to have relatively
minimal impact. On average, 68% of digital skills
are expected to change in how they’re applied,
compared to 35% across more human-centric skills.
AI and big data skills are over 30 times more likely
to see full or hybrid transformation compared to
empathy and active listening. These findings do not
necessarily mean displacement. They signal a shift in
what competence looks like as workers increasingly
oversee and collaborate with AI systems.
The market is already rewarding
advanced AI and data skills
Wages for AI and machine learning (ML) roles
have surged 27% since 2019, reaching nearly
$190,000 on average by mid-2025, reversing earlier
stagnation and highlighting their market value.
Median salaries across digital occupations have
generally trended upward, but the increase for AI/
ML roles since 2023 is especially pronounced.The digital skills gap is widening
faster than systems can respond
Only two in 10 business leaders believe education
systems effectively develop AI and data skills, while
four in 10 say the same for technology literacy.
Globally, only about 20% of leaders believe their
employees are proficient in AI and big data skills,
despite anticipated demand growth through 2030.
In the EU specifically, nearly 58% of enterprises
recruiting information and communication
technology (ICT) specialists in 2023 reported
difficulties filling roles.
While demand for digital skills learning is soaring (AI
and big-data learning now account for one-fifth of
all digital learning hours) employer demand is still
concentrated in roles such as cybersecurity and
network engineering (representing over half of all
digital jobs), while roles in AI and ML represent just
over 1% of digital employment. Technology literacy
is the highest in-demand digital skill, appearing in
34% of all US job postings, while only 2% of job
posts ask for AI and big data skills, with most of
those posts in technology-intensive sectors like ICT.
Acquiring digital skills takes time,
but can be accessible
Programming is the most demanding digital skill
to learn at beginner and intermediate levels, while
networks and cybersecurity are often the most
time-intensive at advanced levels (around 155
hours). AI and big data offer more accessible
entry points (beginners can start with as little as
30 hours), but advanced proficiency requires a
significant commitment (up to 137 hours).
Not every region or industry is
progressing equally
The findings in this report reveal significant
disparities in how digital transformation is unfolding
across sectors. Advanced digital expertise is
highly in-demand primarily in technology-intensive
industries (IT, digital communications, automotive
and aerospace), with limited demand elsewhere
(accommodation, food and leisure), a pattern that
risks widening digital divides across industries and
limiting innovation. Growth and innovation depend not just on
technology, but on people’s ability to adapt,
learn and harness new digital skills.
New Economy Skills: Building AI, Data and Digital Capabilities for Growth
4
Ask AI what this page says about a topic: