AI & Technology Fluency
Professionals increasingly need to understand how AI and digital tools can add value and how their outputs should be evaluated.
Artificial intelligence is changing tasks, workflows and business models. But the changing workplace is not simply demanding more technology. Employers are increasingly looking for professionals who can combine digital capability with analytical thinking, communication, adaptability and sound decision-making.
Technology is changing how organisations create value, organise work and make decisions. The result is a labour market in which technical knowledge matters, but where human judgment and the ability to work effectively with technology are becoming increasingly important.
The World Economic Forum's Future of Jobs Report 2025 estimates that 39% of workers' existing skill sets will be transformed or become outdated between 2025 and 2030. The report also identifies analytical thinking, resilience, flexibility and agility, leadership and social influence among the important skills employers require.
GMAC's 2026 Corporate Recruiters Survey reaches a similar conclusion from the perspective of graduate business employers. Its research shows that technology, AI and data-analysis skills are gaining importance while communication and adaptability remain highly valued.
GMAC's 2026 Corporate Recruiters Survey provides a current view of which capabilities employers value when assessing graduate business talent.
Selected capabilities employers identify as important in current hiring decisions.
Selected capabilities employers expect to remain important for future hiring decisions.
Future-ready professionals are unlikely to rely on one capability alone. Employers increasingly value a combination of technical, cognitive, interpersonal and self-management skills.
Professionals increasingly need to understand how AI and digital tools can add value and how their outputs should be evaluated.
The ability to interpret information, identify patterns and turn evidence into useful decisions remains essential.
Presenting ideas clearly, listening actively and working across teams remain central to effective leadership and professional performance.
Changing priorities, technologies and business models require professionals who can adjust while maintaining focus and effectiveness.
Employers continue to need people who can connect short-term decisions with wider organisational goals and long-term opportunities.
Career development increasingly depends on acquiring new capabilities and refreshing existing ones as roles evolve.
Knowing how to use an AI tool is only one part of the capability employers increasingly need.
AI is increasingly becoming part of everyday business workflows. Professionals may need to understand how tools can support productivity while also evaluating accuracy, relevance, risk and business impact.
The most useful capability is therefore not simply operating a tool. It is understanding when to use it, questioning its output and connecting technology with business objectives.
The rise of AI does not remove the importance of human capabilities. Communication, problem-solving and adaptability remain important parts of professional performance.
Leadership, collaboration, creative thinking and the ability to learn continuously remain relevant as people work alongside increasingly capable technologies.
Future-ready professionals therefore need to combine digital capability with communication, judgment and the ability to work effectively with other people.
Employer expectations can vary by geography, industry and role, while several core capabilities remain widely relevant.
European employers are navigating digital transformation alongside changing expectations around management, sustainability and productivity. Professionals increasingly need to combine digital fluency with business judgment.
Organisations across the Middle East are investing in technology while continuing to require professionals who can lead teams, communicate effectively and connect innovation with commercial objectives.
A qualification can provide a framework for learning, but career readiness increasingly depends on how professionals apply that learning in real situations.
Developing future-ready capabilities can involve taking on complex projects, learning to work with data, using digital tools, strengthening communication and taking responsibility for continuous professional development.
For managers and aspiring leaders, the challenge is not simply to understand new technologies. It is to understand how technology changes customers, people, processes, business models and strategic choices.
Consider whether you understand both the opportunities and limitations of digital tools used in your profession.
Modern decisions increasingly depend on the ability to understand information rather than simply collect it.
Communication remains important when working with customers, colleagues, executives and multidisciplinary teams.
Roles, technologies and organisational priorities may change faster than traditional career plans.
Lifelong learning is increasingly part of maintaining relevance across a changing professional landscape.
The future of work is being shaped by artificial intelligence, digital transformation, changing business models and evolving expectations around leadership.
Professionals will need to keep developing as technical capability, human skills, strategic thinking and continuous learning increasingly interact.
Explore academic programmes designed to support management knowledge, professional development and lifelong learning.
Request Information ↗World Economic Forum, The Future of Jobs Report 2025 · Graduate Management Admission Council, Corporate Recruiters Survey 2026.
This article is provided for general educational and informational purposes. Employer preferences vary by industry, organisation, geography, role and hiring cycle. Survey findings should be interpreted within the methodology, sample and time period of the original research.