The Udemy Global Learning and Skills Trends Report 2025 reveals that companies are using generative AI to maximize productivity and improve skills for professionals

THE Udemy, learning platform and skills marketplace, recently launched the Global Learning and Skills Trends Report 2025. With data from almost 17,000 Udemy corporate clients, the study, released annually by the platform, shows the most sought-after skills and learning themes, pointing out what the future of learning and work will be. This year's report shows that organizations continue to bet on generative AI, but they have invested more in their specific and practical applications, which help maximize productivity, as well as in soft skills and leadership development, with the goal of successfully guiding employees in a time of constant change.

“A Generative AI has the potential to deliver significant productivity gains, accelerate skills development and drive business growth. Therefore, organizations that adopt technology and train their employees on the topic are more likely to remain competitive and better positioned for” success, says Raphael Spinelli, Udemy's regional director for Latin America.

According to the Udemy report, the top three areas in learning and talent development that companies should invest in next year are

1) Companies should develop practical generative AI skills, which lead to applicable solutions. If organizations were once focused on learning the fundamentals of generative AI, they are now focused on its practical application, with the goal of teams implementing the technology in the daily workflow.

859% has grown from Generative AI to productivity over the previous year.

3.949% Learning about LangChain, a framework for application development.

311% increased the consumption of multiple courses for AI certifications. Learning about Microsoft Azure AI Engineer Associate increased, while learning about Microsoft Azure AI Fundamentals increased by 197%.

^To date, courses on generative AI at Udemy have attracted more than 4 million applications, with eight new entries every minute.

2) With the growth of learning generative AI skills, soft skills must also grow to stimulate creativity and collaboration. By developing both soft skills and generative AI skills, companies can ensure that new technologies are combined with the creativity and innovation inherent in the human being.

^companies have invested in skills such as problem solving (103% growth), team building (79% growth) and business communication (41% growth). The idea is that employees use the time saved with generative AI in more strategic jobs that require human skills.

^in addition to soft skills helping professionals use technology in the best possible way, they can solve communication failures, increase collaboration between teams and promote mentoring opportunities at a time when most companies have at least a few days a week of face-to-face work.

3) Leading by example improves the role of leadership in a time of constant change and the way employees perceive leaders. Leaders must invest in learning about change management and soft skills, and also about generative AI skills, to successfully lead employees in the age of work enabled by AI.

''Leadership fundings are one of the top ten most consumed business skills on Udemy in the last year.

''' Udemy's Study it shows that nine out of 10 employees believe their leadership team is critical to the success of generative AI initiatives, but less than half (48%) believe their leaders are ready to lead those initiatives.

To read the full report, learn how organizations can leverage Udemy's feature set with generative AI technology, and see programming built specifically for soft skills and leadership development, visit here.

Methodology

For the report, Udemy analyzed data from nearly 17,000 customers worldwide. The total consumption of Udemy Business students in all course themes was calculated for the year between July 1, 2023 and June 30, 2024. The percentage growth in course consumption was calculated compared to the year between July 1, 2022 and June 30, 2023. The total consumption rating for AI topics was also obtained from the period between july 1, 2023 and june 30, 204.