25th June 2026
Artificial intelligence (AI) has quickly become a fixture of modern work. Communication-related tasks, such as checking and drafting emails, are among the most common tasks to be automated. For multinational organizations, the core benefit is clear: increased productivity and efficiency.
Yet beneath these gains lies a question that many leaders have not yet explored: What happens when AI becomes not just a communication tool, but a communication substitute?
Our latest research – exploring how AI is used in the workplace – suggests that this question may be most pertinent to leaders, with more than half now using AI tools to optimize their communication.
“The irony is that leaders use AI to save time so they can focus on higher-value work. But communication itself is often the highest-value work a leader performs.”
Among leaders, around half use AI to support major communication activities like emailing, meetings, and navigating second languages. In each case, this usage exceeds that of their subordinates by 10-14%. In short, across nearly every communication-related category, leaders report high adoption, above that of their teams.
At first glance, this seems like good news. After all, leaders are busy, communication-heavy professionals. AI can help them move faster and spend less time on routine tasks.
But there is another interpretation worth considering.
The hidden cost of outsourced communication
Communication is often treated as a process that can be optimized. In reality, it is also a capability that must be developed.
A manager whose emails are polished by AI may appear highly articulate. An employee whose messages are translated and refined may appear fully confident communicating across languages. But appearance and capability are not always the same thing. In fact, they may be gaining efficiency while losing something less visible: practice.
The result is a paradox. AI can make communication appear better while simultaneously reducing opportunities to develop the underlying skill.
Over time, this creates a challenge for organizations. Leaders can measure outputs – they can see the email, the report, or the meeting summary – but what they cannot easily see is how much of that output reflects genuine human capability and how much has been generated or enhanced by AI.
As AI tools improve, that distinction becomes increasingly difficult to assess.
Perfection over connection?
Our research shows that leaders are among the most enthusiastic adopters of AI communication tools. This matters because leadership communication serves a purpose beyond information transfer.
Employees do not simply need instructions. They need context, trust, reassurance, and connection. When communication becomes heavily mediated by AI, there is a risk that leadership messages become technically better but emotionally thinner.
A carefully crafted AI-generated message may communicate information effectively. A personally written note, however imperfect, may communicate something equally important: presence.
In multinational organizations, where teams are often distributed across geographies, cultures, and languages, that distinction matters even more.
The irony is that leaders use AI to save time so they can focus on higher-value work. But communication itself is often the highest-value work a leader performs.
Masking real-world competency
Many organizations are beginning to track AI adoption. Fewer are asking how AI is affecting skill development.
If employees increasingly rely on AI to mediate communication, organizations may inadvertently create a capability gap. Employees may continue producing high-quality outputs, while their underlying communication skills develop more slowly than expected.
The challenge is that traditional performance metrics may not reveal this.
An employee can consistently produce excellent written work while becoming less confident at communicating spontaneously. A manager can generate compelling messages while struggling with real-time conversations. A global team member can appear fluent in written interactions while remaining hesitant in face-to-face discussions.
These are not failures of AI. They are predictable consequences of using technology to perform skills that humans still need to master.
“AI is such a positive helper that it can also mask real competence. It can provide the illusion of confidence if people are using it to work on their communication or for translations or to provide content. It can hide where people actually sit in terms of capability.”
Practice, progress, and proof: Where AI builds better communication
AI can also facilitate communication across languages. But it cannot replace the personal growth that comes from acquiring a language yourself.
Language learning is not simply about converting words from one language into another. It is about developing the ability to build relationships, navigate cultural nuances, communicate with confidence, and understand perspectives different from your own. Such uniquely human capabilities are only strengthened through genuine language and communication practice.
Fortunately, while AI is the source of this new challenge for human communication, it is also capable of offering the solution. Agentic AI is now so advanced that it can solve the difficulty of practising language skills; AI assistants (such as our agentic AI learning tutor, Addi) can generate personalized practice for any number of employees and leaders at once. The potential scale is a game-changer for global organizations.
AI in language learning also holds the solution to measuring communication skills. Agentic AI has long-term memory, which means it can hold an individual’s journey from beginner to proficient and report back to the organization on progress and levels for entire international teams.
For global organizations, the goal should not be to choose between AI and human development. It should be to ensure that AI amplifies human capability rather than replacing opportunities to build it.
An opportunity for L&D leaders
The organizations that benefit most from AI will not necessarily be those that automate the most. They will be those that develop the strongest human capabilities alongside it.
That means encouraging employees to use AI thoughtfully while continuing to invest in communication and language development, recognizing that efficiency gains should not come at the expense of skill growth.
Already, our research proves that half of leaders are using AI in language learning, and 90% of employees report being open to doing the same. This puts L&D leaders in a powerful position to transform their workforce, not by optimizing daily activities, but by investing in a future with more connected, capable, employees.
Interested in learning more about how to unlock the power of language learning?
