Top 10 Advanced Digital Skills You Should Help Your Teams Develop

In a labor market where, according to the World Economic Forum (Future of Jobs Report 2025), 39% of current skills will become obsolete before 2030, mastering advanced digital skills is no longer optional for company teams: it is a strategic necessity.

What are advanced digital skills?

Advanced digital skills are the set of abilities, knowledge, and attitudes that enable professionals to use digital tools expertly to solve complex problems, manage technological processes, innovate, and lead in digital environments. These skills not only involve using technology, but also the ability to integrate it strategically within workplace contexts. The European framework DigComp 2.2 (2022) organizes them into five key areas: data literacy, digital communication, content creation, security, and technological problem solving.

Differences between basic and advanced digital skills

Understanding the difference between these two levels is essential for designing an effective corporate training plan. Basic digital skills focus on the functional use of tools for everyday tasks, while advanced skills involve a higher level of specialization, critical analysis, and technological leadership.

Types of advanced digital skills

Advanced digital skills cover a wide spectrum of capabilities organized into key areas that enable professionals to master complex technological environments, innovate, and lead digital transformation. Below are the main development areas:

Advanced digital literacy

It goes beyond basic knowledge of digital tools. It involves the ability to interpret and analyze complex information in digital environments, use emerging technologies such as artificial intelligence or blockchain, and critically evaluate information sources in order to make strategic decisions.

Communication and collaboration in digital environments

This area focuses on the effective management of digital communication across advanced platforms such as cloud collaboration tools, project management applications, and professional social networks. It includes the ability to lead virtual teams and manage digital communities while ensuring cohesion and productivity.

Digital content creation and editing

This competency includes the skills required to produce high-quality content in multiple formats —videos, infographics, podcasts, websites, and interactive documents— and to integrate SEO and digital marketing strategies to maximize impact.

Security and data protection

With the growing threat of cyberattacks, this competency is essential. It includes advanced knowledge of cybersecurity, risk management, personal data protection, and regulatory compliance such as the GDPR.

Advanced technological problem solving

This area focuses on the ability to diagnose, analyze, and solve complex technological problems. It includes programming, the development of automated solutions, systems management, and the use of artificial intelligence to optimize processes.

Most in-demand advanced digital skills in the labor market

According to the LinkedIn Learning 2024 report, technological skills account for 50% of the most requested competencies in job postings across Europe. These are the advanced skills with the highest demand:

AI and Machine Learning

Artificial intelligence (AI) refers to the creation of systems capable of performing tasks that require human intelligence, while Machine Learning enables machines to learn and improve from data. These are crucial skills for the development of autonomous systems, predictive analytics, and personalized experiences, transforming the way companies make decisions.

Big data analytics

Big data analytics makes it possible to identify patterns, detect trends, and obtain valuable insights for strategic decision-making. Skills in this area are essential for extracting meaningful insights from the data generated daily and forecasting trends and optimizing processes.

Cybersecurity

Cybersecurity protects systems, networks, and data against cyber threats. Professionals with skills in this field are essential to safeguard the integrity and confidentiality of information, mitigating risks such as unauthorized access or data theft.

Cloud computing

Efficient management of cloud resources is essential for the scalability and flexibility of operations. Developing cloud computing skills involves the ability to deploy, manage, and optimize infrastructures on platforms such as AWS, Azure, or Google Cloud.

User experience (UX)

This area focuses on designing products and digital services that are intuitive and satisfying for users. UX competencies involve the ability to create friendly, accessible, and efficient interfaces.

Blockchain

A technology that enables the verification and recording of transactions in a secure and transparent way. Having knowledge of blockchain is highly valuable for ensuring the integrity and security of transactions, with applications in smart contracts, supply chains, and data authentication.

Robotic process automation and management (RPA)

Robotic process automation and management (RPA) enables the design, implementation, and management of bots that automate repetitive tasks. Tools such as UiPath, Blue Prism, and Automation Anywhere lead this field. Companies that integrate RPA increase productivity and strengthen their competitive position.

Most in-demand advanced digital skills in the labor market

According to the LinkedIn Learning 2024 report, technological skills account for 50% of the most requested competencies in job postings across Europe. These are the advanced skills with the highest demand:

AI and Machine Learning

Artificial intelligence (AI) refers to the creation of systems capable of performing tasks that require human intelligence, while Machine Learning enables machines to learn and improve from data. These are crucial skills for the development of autonomous systems, predictive analytics, and personalized experiences, transforming the way companies make decisions.

Big data analytics

Big data analytics makes it possible to identify patterns, detect trends, and obtain valuable insights for strategic decision-making. Skills in this area are essential for extracting meaningful insights from the data generated daily and forecasting trends and optimizing processes.

Cybersecurity

Cybersecurity protects systems, networks, and data against cyber threats. Professionals with skills in this field are essential to safeguard the integrity and confidentiality of information, mitigating risks such as unauthorized access or data theft.

Cloud computing

Efficient management of cloud resources is essential for the scalability and flexibility of operations. Developing cloud computing skills involves the ability to deploy, manage, and optimize infrastructures on platforms such as AWS, Azure, or Google Cloud.

User experience (UX)

This area focuses on designing products and digital services that are intuitive and satisfying for users. UX competencies involve the ability to create friendly, accessible, and efficient interfaces.

Blockchain

A technology that enables the verification and recording of transactions in a secure and transparent way. Having knowledge of blockchain is highly valuable for ensuring the integrity and security of transactions, with applications in smart contracts, supply chains, and data authentication.

Robotic process automation and management (RPA)

Robotic process automation and management (RPA) enables the design, implementation, and management of bots that automate repetitive tasks. Tools such as UiPath, Blue Prism, and Automation Anywhere lead this field. Companies that integrate RPA increase productivity and strengthen their competitive position.

How to develop advanced digital skills in your company

Acquiring advanced digital skills requires a structured approach that combines formal training, hands-on learning, and self-directed learning. Companies that lead the market anticipate the skills gap with well-designed upskilling plans.

How to establish a digital upskilling plan in your company

• Assessment: evaluate the current digital level of teams (the DigComp 2.2 framework is a useful reference for classifying skill levels).
• Prioritization: identify which skills are most critical for the business strategy over the next 12–24 months.
• Training design: combine formal training (courses, certifications) with informal learning (real projects, mentoring).
• Management platform: use an LMS that allows tracking both individual and team progress.
• Measurement and adjustment: evaluate the impact on business indicators and adjust the plan periodically.

Tools and resources to improve advanced digital skills

With isEazy Skills, companies can access a catalog of more than 600 courses —such as Cybersecurity: work safely in digital environments or Data Mining: the science of exploiting data to make decisions— available in more than 8 languages.

With isEazy Author, organizations can create their own content tailored to each team. And with isEazy LMS, L&D leaders can manage the entire digital upskilling program and demonstrate its impact to leadership.

Free resources and certifications

There are also free resources such as specialized blogs, webinars, and isEazy’s guides and whitepapers with content on digital transformation and emerging skills.

The future of advanced digital skills: emerging trends

The future points toward mastering emerging technologies such as generative artificial intelligence, blockchain, virtual and augmented reality, and cloud computing. These skills, combined with transversal abilities such as critical thinking, creativity, and adaptability, will be essential in the coming decade.

How to adapt to new digital demands

Adapting to this landscape requires a proactive approach to continuous learning. Companies and professionals must stay up to date through training programs, self-learning platforms, and a mindset open to innovation.

Advanced digital skills are the bridge that connects the present with the future of the workplace. Learn more about how isEazy can help you here.