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The rise of AI colleagues – is AI becoming a favourite work buddy?

Dr Cindy Friedman-van der Westhuizen

Dr Cindy Friedman-van der Westhuizen | Lecturer | AI Ethics | Stellenbosch Business School Executive Development | mail me |

The traditional office social fabric is undergoing a profound psychological shift. Instead of walking down the corridor to bounce ideas off a colleague or venting to a teammate over coffee, workers increasingly turn to Artificial Intelligence (AI). They use it as their primary workplace confidant, sounding board, and creative partner.

According to a comprehensive workplace study by The Human Connection Workplace Index, 76% of employees now use AI tools for professional advice. Meanwhile, 52% use AI specifically for brainstorming, and 37% admit they turn to AI for “workplace companionship”.

This shift highlights a dramatic change in how professionals view collaboration. Relying on AI as your default collaborator is very tempting. Many professionals now use AI for tasks that once required extensive collaboration, such as brainstorming and generating ideas. These interactions might seem small. However, they represent the moments that have always made workplaces work.

How AI is changing workplace collaboration

Every time you ask someone for a second opinion, challenge an idea together or work through a problem, you’re doing more than completing a task. You’re building trust, learning how other people think and strengthening relationships.

One of AI’s greatest strengths is its constant availability. It also responds incredibly quickly. Furthermore, AI responds without judgement. It doesn’t mind if you ask it to review a document five times, brainstorm basic ideas, explain a concept or help you draft a difficult email.

While AI delivers speed and efficiency, I caution that its greatest convenience may also be its greatest limitation. Increasingly, AI is becoming the first place we turn when we need to think something through or solve a problem. That’s enormously useful. However, this convenience also comes at a cost. AI is replacing five-minute desk-side conversations where colleagues test ideas, share problems and build relationships. As a result, typical water cooler moments are giving way to exchanges such as, “Hi Claude, please help me, I’m stuck.”

The hidden cost of AI-driven convenience

Human colleagues bring different lived experiences to workplace discussions. They also offer uncomfortable but productive pushback. In contrast, AI is optimised to be helpful. Consequently, it tends to work within a user’s framing rather than question it.

AI doesn’t become impatient or disagree based on its own lived experience. It functions less like a true collaborator and more like a very sophisticated yes-man. Although it may refine your thinking or fill in gaps, it is unlikely to fundamentally challenge your starting assumptions.

Work is a site of production. However, it also serves as a critical hub for human social interaction. When employees rely on algorithms to generate ideas, navigate sensitive workplace politics or plan difficult conversations, they lose vital micro-interactions. These interactions help build corporate cultures.

If our first instinct is always to ask AI instead of another person, we may gradually lose everyday opportunities to practise negotiation, persuasion, constructive disagreement and collaborative problem-solving. Those interactions create social capital inside organisations. If AI starts replacing them, the impact may only become visible years later.

When AI companionship feels like human empathy

It is striking to see how naturally humans anthropomorphise AI. AI models speak with human fluency and mirror emotional registers. Consequently, users can easily mistake AI interactions for genuine human empathy.

This powerful illusion encourages employees to navigate sensitive workplace politics and personal anxieties entirely through software. Many find it easier to trust an apparently unbiased algorithm with their raw, unpolished ideas and corporate anxieties. They may prefer this approach to risking vulnerability with a human colleague or manager. However, the risks for organisations are complex.

Research has found that 57% of global employees actively hide their AI usage. Almost half also admit to using AI in ways that contravene company policies. These practices include uploading sensitive company information into free public AI tools like ChatGPT.

Furthermore, 66% of employees rely on AI output without evaluating its accuracy. Another 56% make mistakes in their work due to AI.

This complacent use of AI also raises concerns about governance and responsible AI use. Only 47% of employees say they have received AI training. Meanwhile, just 40% say their workplace has a policy or guidance on generative AI use.

Preserving human skills in an AI-enabled workplace

Rather than discouraging AI adoption, organisations should become more intentional about how they use it.

The efficiency gains of AI are real. Organisations can use AI to remove repetitive administrative work, summarise information and improve productivity. However, they must recognise that human collaboration involves more than getting work done. It also helps people maintain the social and intellectual skills they need to work together.

Organisations should therefore identify which activities must remain fundamentally human. They must recognise that AI’s ability to perform a task does not necessarily mean it should perform it. For example, organisations should protect mentoring, collective problem-solving, coaching, conflict resolution, and brainstorming as human spaces. In these settings, human interaction matters as much as the output.

Organisations should use AI as a tool, not as a partner. They must make it clear that AI can never substitute for human engagement. When employees use AI for administrative purposes, it should theoretically free up cognitive and social bandwidth. This would allow them to focus on the richer, messier work of human collaboration.

To avoid deskilling through technology, organisations need to invest in developing essential skills intentionally. They should not simply assume that employees will develop these skills organically. One practical approach involves organising explicitly AI-free meetings and workshops. These sessions can help employees practise negotiation, disagreement, and creative problem-solving together.

As the rise of AI colleagues reshapes workplace interactions, organisations must protect opportunities for employees to develop and maintain these essential human skills. Standard AI policies typically cover data governance, human oversight, bias auditing, and employee rights. However, organisations must also address the risk of AI replacing human collaboration through their governance strategies and policy documents.

Applying a human-centred approach to AI governance

Organisations can look beyond the corporate world for guidance. The African Union’s Continental Artificial Intelligence Strategy offers a useful example. Although the strategy addresses national and continental governance, it follows a human-centred philosophy. Its central principle is that AI should serve and empower people, not the other way around.

This principle translates surprisingly well to the workplace. It is particularly relevant when organisations consider whether AI is becoming more than a tool and replacing human collaboration.

Below are six governance strategies drawn from the AU framework and adapted for organisations grappling with these concerns:

Before deploying AI for any workplace function, organisations should ask whether it solves a genuine problem. They should also consider whether they are adopting it simply because it is available.

This question matters particularly for collaboration. When organisations introduce AI into team workflows without a clear rationale, they risk displacing human interaction by default rather than by design. A “people-first” adoption policy ensures that organisations ask this question explicitly.

Organisations should identify which AI applications they approve, restrict or prohibit. Crucially, they should explain why they have established these boundaries.

Given concerns about AI replacing human collaboration, organisations must actively protect certain functions as human spaces. They should designate mentorship, creative brainstorming, conflict resolution, and peer feedback as areas where human engagement is not merely preferable but essential.

Employees should know when organisations use AI and why they use it. Most importantly, they should understand what AI cannot do or does poorly.

People who understand that AI is optimised to be helpful rather than honest are less likely to treat it as an intellectual equal. They should also recognise that AI cannot bring genuine cognitive diversity to a problem. By explaining these limitations, organisations can help employees avoid overreliance on AI as a collaborative partner.

Organisations should go beyond developing policy documents. They should consider establishing an AI governance committee to oversee responsible AI use. Alternatively, they could designate specific roles for approving, monitoring, and reviewing AI use over time.

This approach is particularly important because AI capabilities change rapidly. Consequently, a boundary that seems reasonable today may require review within months.

Training programmes should teach employees more than how to use AI tools effectively. They should also address subtler risks. These include the tendency to anthropomorphise AI, the erosion of collaborative skills through disuse and the intellectual costs of working primarily with a system that never disagrees.

Employees with genuine AI literacy are better equipped to use AI as a tool without giving it the role of a colleague.

Organisations should establish clear processes for reporting harmful AI outputs and ethical concerns about AI use. They should also provide channels for employees to raise concerns about AI displacing human interaction. These processes must account for issues that employees may find difficult to identify or quantify.

Ultimately, the rise of AI colleagues makes it increasingly important for organisations to balance technological efficiency with meaningful human engagement. Clear governance, appropriate training, and protected opportunities for collaboration can help businesses realise AI’s benefits. At the same time, these measures can preserve the social and intellectual skills that sustain effective workplaces.

 

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