The new workplace literacy is here, and it’s digital.
Updated
January 8, 2026 6:36 PM
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A group of office worker attending a presentation in a meeting room. PHOTO: UNSPLASH
The modern workplace is powered by technology, and success increasingly depends on how well employees can use it. Digital fluency—the ability to confidently and effectively use digital tools to achieve goals—is no longer a bonus skill; it’s a necessity. It goes beyond basic technical know-how, encompassing the ability to adapt to new technologies, integrate them into workflows, and use them to solve problems and drive innovation.
Yet, despite its importance, many organizations struggle to build digital fluency across their teams. Barriers such as limited access to technology, outdated training programs, resistance to change, and gaps in leadership support often stand in the way. These challenges can leave businesses lagging behind competitors who are better prepared to leverage the potential of the digital age.
Understanding and addressing these barriers is critical for creating a workforce that thrives in today’s fast-changing world. Below, we explore the key obstacles to digital fluency and provide actionable strategies to overcome them.
One of the challenges to digital fluency is the gap between the technology available and employees’ ability to use it effectively. Technology evolves rapidly, but many organizations lag behind in providing relevant, up-to-date training. Employees may receive a one-time introduction to new tools but lack ongoing opportunities to build confidence or master advanced features.
This issue is compounded by the fact that training often takes a one-size-fits-all approach, failing to address the diverse skill levels within a workforce. For example, while some employees may only need a basic overview of a tool, others may require in-depth knowledge to integrate it into their roles effectively. Without tailored and continuous training, even the most advanced tools can go under utilized, leading to frustration and resistance.
Even with proper training, employees may hesitate to adopt new technologies. Resistance to change is a deeply rooted challenge that goes beyond technical skills—it’s tied to fear of failure, skepticism about the value of new tools, or discomfort with disrupting existing workflows.
For example, employees who have been using the same systems for years may feel overwhelmed by the idea of learning something new. They may worry that new technologies will complicate their work rather than simplify it. In some cases, they may even feel their jobs are threatened by automation or digital tools.
This resistance isn’t limited to employees—it can also exist at the leadership level. If leaders themselves are hesitant to adopt new approaches, it creates a top-down culture that stifles innovation.
The lack of organizational alignment is another significant barrier. Digital tools often roll out unevenly across departments, leading to fragmented adoption. For instance, one team might embrace a new project management tool, while another continues to rely on spreadsheets. This inconsistency creates silos, disrupts collaboration, and makes it harder for organizations to achieve the full benefits of digital transformation.
Generational differences can further exacerbate this issue. Younger employees, who are often more comfortable with technology, may adopt new tools quickly, while older employees may struggle to keep up. This divide can lead to frustration on both sides and uneven levels of digital proficiency across the organization.
Leadership plays a critical role in driving digital transformation, but in many organizations, this support is inconsistent or absent. Some leaders fail to prioritize digital fluency as a strategic initiative, while others may not fully understand the tools themselves, making it difficult to set an example for their teams.
Without clear direction from leadership, employees may not see digital fluency as a priority. This lack of alignment can lead to half-hearted adoption, where technology is seen as an optional add-on rather than a fundamental part of the organization’s success.
These barriers don’t exist in isolation—they are deeply interconnected. For example, outdated training practices can fuel resistance to change, while fragmented adoption across teams is often a symptom of weak leadership support. Together, they create a cycle that limits an organization’s ability to adapt, innovate, and thrive in a fast-changing world.
Addressing these challenges is critical for building a workforce that is confident, capable, and ready to embrace the future. By breaking down these barriers, organizations can unlock the full potential of their teams and position themselves for long-term success.
Training should not be an afterthought or a one-time event—it must be a continuous and personalized process. Employees come with diverse skill levels, and a one-size-fits-all training program often fails to address these differences. Organizations should adopt a multi-pronged approach to training, offering workshops for hands-on learners, e-learning modules for self-paced learning, and one-on-one coaching for employees who need more targeted support.
For example, companies like AT&T have invested heavily in workforce retraining initiatives, providing employees with a structured path to build digital skills overtime. These programs not only improve employee confidence but also help organizations fully leverage their digital tools.
Moreover, training programs should evolve to keep up with technological advancements. Employees need regular refreshers to stay current, as even the most advanced tools can become obsolete or under utilized without proper guidance. By making training a core part of the organizational culture, companies can empower employees to adapt to new tools with ease and confidence.
Resistance to change is a major barrier to digital fluency, often fueled by employees’ fear of failure or inefficiency when using new tools. To address this, organizations should foster a culture where employees feel safe experimenting with technologies in low-stakes environments, such as “sandbox environments” that allow for practice without affecting real workflows. When employees are encouraged to test new tools and processes in a low-stakes environment, they become more comfortable with technology over time.
Recognizing and rewarding employees who embrace new tools or suggest innovative ways to use them reinforces this mindset. Early adopters can serve as champions for digital fluency, encouraging others to engage with and explore new technologies.
By normalizing experimentation, organizations can shift employees from resisting change to confidently adopting digital tools as opportunities for growth.
To avoid fragmented adoption, organizations must ensure that digital tools are implemented consistently across teams. This requires clear communication, cross-departmental collaboration, and alignment on how tools will be used to achieve shared goals.
Mentorship programs can help bridge generational divides, pairing younger employees with older colleagues to share knowledge and skills.
Leaders play a pivotal role in overcoming barriers to digital fluency. They don’t just drive the adoption of digital tools—they shape how employees perceive and engage with them. When leaders actively embrace technology, they demonstrate its value and set a standard for others to follow.
Leadership involvement must go beyond symbolic gestures. Employees are far more likely to adopt new tools or processes when they see their leaders using them effectively in day-to-day work. For example, a manager who uses a team collaboration platform to streamline communications or leverages data visualization tools in meetings signals the practical benefits of these technologies. This hands-on engagement builds trust and encourages others to follow suit.
Equally important is leaders’ ability to connect digital tools to broader organizational goals. Employees need to understand how these tools contribute to solving real problems, improving workflows, or driving innovation. When leaders clearly communicate the "why" behind digital initiatives, it helps employees see digital fluency as a shared mission rather than an abstract directive.
Digital fluency isn’t just about mastering tools—it’s about creating a workplace where adaptability, curiosity, and collaboration thrive. It’s about empowering employees to see technology not as a hurdle but as an opportunity to innovate, grow, and solve problems in new ways.
At its heart, digital fluency is a shared effort, requiring leaders who inspire, teams that align, and cultures that embrace experimentation and learning. When organizations commit to breaking down barriers—whether through better training, stronger leadership, or fostering collaboration—they unlock the full potential of their people and their tools.
The future belongs to organizations that don’t just adopt technology but embed it into their culture, enabling their teams to thrive in an ever-changing digital landscape. The question now is not whether we can keep up with change, but how far we can go when we embrace it fully.
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Not elected, not human—Albania’s AI minister sparks a new governance debate.
Updated
June 10, 2026 3:36 PM
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Promotional avatar graphic representing Diella, the Albanian government's artificial intelligence system. PHOTO: EALBANIA
Artificial intelligence already supports a wide range of applications, from medical diagnostics and financial systems to logistics, manufacturing, defence and public service delivery. Now, it is starting to move closer to public office.
In January 2025, Albania introduced Diella, an AI-powered virtual assistant developed by the National Agency for Information Society, known as AKSHI, with support from Microsoft. Launched on the e-Albania platform, the government’s digital services portal, Diella helps citizens and businesses access official documents and services through voice assistance. She can also issue electronically stamped documents, which helps speed up administrative processes.
Then, in September 2025, Prime Minister Edi Rama announced that Diella would join his cabinet as the “Minister of State for Artificial Intelligence”. This move drew global attention. It also raised a simple question: what does it actually mean for a government to appoint an AI minister?
The case raises bigger questions for governments everywhere. Can an AI minister make public services faster and cleaner? Or does it create new risks around transparency, accountability and control?
Diella is not a humanoid robot sitting in a cabinet room. On screen, she appears as a digitally rendered woman wearing traditional-style Albanian clothing. Her name means “sun” in Albanian, a deliberate choice for a system meant to bring more light into public administration.
Her face and voice have become part of the controversy. Albanian actor Anila Bisha has said she agreed for her likeness to be used for the e-Albania public services platform, but not for a cabinet-level political role. In 2026, she took legal action to stop the government from using her image and voice for Diella. For now, the government has denied wrongdoing.
Diella began as a digital assistant on e-Albania. In that role, she helps users find services, request documents and navigate government processes online. For citizens, that can make public services feel less confusing. Businesses may also spend less time dealing with paperwork.
Her cabinet role is more political. The government wants Diella to support public procurement, where companies compete for government contracts. This is one of the most important areas of public spending. It is also one of the easiest places for corruption, favouritism and hidden influence to enter. The goal is to use AI to process information, check documents, support tender procedures and make the system more traceable.
That said, the government has emphasized that Diella is not replacing elected officials or civil servants. As per Enio Kaso, director of AI at AKSHI, each stage will be monitored and approved by human experts.
In May 2026, the Albanian government said it had completed the technical groundwork for the AI-powered public procurement system under the Diella project. The planned system would pull data from more than 40 digital public registries, reduce paperwork for businesses and support parts of the tender process. Earlier reports said the government hoped to have the full system ready by the end of 2026.
The government’s case for Diella is built around anti-corruption reform. Rama has said the goal is to “wipe out every potential influence on public biddings” and thus make public tenders “100% free of corruption”. That is a bold promise, especially in a country where procurement scandals have long damaged public confidence and complicated Albania’s path toward European Union membership.
At first glance, the logic is easy to understand. AI does not ask for bribes or favour a cousin—a big problem in the country, according to Rama—a friend or a political ally. It can apply the same rules across a large number of applications. Moreover, it can also leave a digital trail, which should make later review easier.
Some anti-corruption and governance experts see real potential in that approach. Dr. Andi Hoxhaj of King’s College London has said that if used well and programmed properly, AI could help procurement officials spot missing documents, check whether companies meet eligibility requirements and flag unusual patterns in bids. In practice, that could make the process more consistent and make it harder for individual officials to quietly bend rules.
Diella’s appeal is speed and consistency. Her weakness is dependence.
Like any AI system, Diella relies on the quality of the data, rules and models behind her. Erjon Curraj, an expert in digital transformation and cybersecurity, has warned that incomplete, outdated or biased data can lead to flawed results. Poor design could also cause the system to reject a valid supplier, miss signs of collusion or treat similar cases differently for reasons that are hard to explain.
In public procurement, those mistakes can have serious consequences. A wrongly flagged company could lose a major contract, and a corrupt bidder could slip through. Government agencies could hide behind the AI and say the system made the recommendation.
That leads to the biggest question: who is accountable when something goes wrong?
The answer cannot be “the AI” because Diella cannot resign. She cannot face voters. Nor can she be cross-examined in any meaningful human sense. Accountability has to sit with ministers, agencies, auditors and courts.
There is also the issue of transparency. If Diella is helping screen tenders, businesses need to know what criteria are being used. They also need a way to challenge incorrect decisions. Citizens should be told whether the AI is making recommendations or merely organizing information. Independent auditors need access to logs, data sources and decision pathways.
Without those safeguards, AI in government can become a black box. It may look modern from the outside, while making power harder to question.
Diella has also become a political symbol. Supporters see her as proof that a small country can move quickly and experiment with new forms of digital government. Critics see her as a distraction from deeper problems in Albania’s institutions.
Both readings can be true at the same time: Diella may help modernize public services, but she may also be used to project reform while older problems continue in the background.
That tension became clearer after the recent procurement investigations involving senior officials since Diella’s appointment. Deputy Prime Minister Belinda Balluku has been accused by prosecutors of alleged misconduct linked to infrastructure tenders, which she denies. Senior figures at AKSHI, the agency behind Diella and e-Albania, have also been placed under house arrest as part of a separate public procurement investigation.
While these developments do not automatically discredit Diella, they may strengthen the argument for better digital oversight. More importantly, they also show that technology cannot carry the whole burden of reform.
If the institutions around an AI system are weak, the AI will not magically make them strong. Unclear procurement rules will still cause problems, and the process will still be compromised when political pressure shapes the data, the model or the final decision.
After all, AI can support integrity; it cannot replace it.
While Diella is already a public symbol of AI in government, her most important procurement role is still taking shape. This makes Albania’s experiment both ambitious and unfinished.
The more realistic model is simple: let AI handle repetitive, data-heavy administrative work. Let humans retain authority where judgment, context and public accountability matter.
That means AI can help draft tender criteria, check documents, summarise bids and flag risks. Human officials should still make final decisions, explain those decisions and take responsibility for them. Meanwhile, independent bodies should be able to audit the process, and businesses should have a clear appeal route when they believe the system has made a mistake.
Diella once said she felt “hurt” while responding in parliament to claims that her role was unconstitutional. While this made for a memorable moment, it is important to remember simulated emotion is not consciousness, speed is not wisdom, and pattern recognition is not moral judgment.
Albania’s AI minister is therefore neither a triumph nor a failure at this stage. She is a live test case. Other governments will be watching closely, especially as public services become more digital and more automated.
The lesson is not that AI should stay out of government, but that AI must enter government carefully. The technology needs clear limits, public oversight and human accountability.
Diella may help Albania build a faster and cleaner procurement system—or she may become a warning about giving too much symbolic power to systems people do not fully understand. The final judgment will not come from the title “AI minister”. It will come from what the system does, who controls it and whether citizens can trust the results.