Today's Edition
ABU DHABI (ALETIHAD)
A majority of UAE technology leaders identify cloud (93%) and Generative AI (GenAI) (89%) transformation as top business priorities over the next three years, recognising both as foundational to future growth.
That's according to new research from leading global online learning platform Coursera, Inc., developed in partnership with Amazon Web Services (AWS).
Titled “From Cloud to AI: How Tech Leaders are Investing in Skills Development to Drive Transformation”, the report offers key insights into how organisations and their senior technology leaders are strategically addressing skills gaps to meet their digital transformation goals.
Core findings show that UAE tech leaders view keeping pace with technology (61%) and staying ahead of security threats (60%) as the most critically important drivers of skills development. Optimising cloud spend (59%) and managing complex infrastructures (52%) were also cited as major concerns, underscoring the urgent need for a skilled workforce.
Kais Zribi, Coursera's General Manager for the Middle East and Africa, said: "While automation is vital to transforming teams, workflows, and business operations, the UAE data reveal that strategic investments in human capital through upskilling and reskilling will be crucial to driving innovation. As organisations look to fully harness the potential of cloud and AI, investing equally in technology and people will be foundational to building a future-ready workforce.
"This report delivers a clear mandate for technology leaders: investing in skills development must be a cornerstone of every transformation strategy."
The report also highlights that 95% of tech leaders worldwide view cloud transformation as a key business goal.
Globally, foundational skills are prioritised, with 63% ranking cloud skills, such as cloud development and engineering, as the most critical, followed by data (58%) and cybersecurity (54%). AI skills rank fourth, with 47% identifying them as important over the next three years.
More than half (52%) of global tech leaders expect 30-50% of tasks to be automated. Nearly all (99%) anticipate their codebases will be partially AI-generated or developed with AI assistance in the next three years, with 86% expecting 20-50% of their codebase to involve AI in its creation.
Yet, 88% believe human contributions remain irreplaceable, emphasising that AI success depends on greater investment in talent development.
