Around a week before I started writing this, I saw a job post on social media that was everywhere. It got a lot of attention, so I clicked to see why. The requirements were:

• Minimum bachelor’s degree.
• More than 15 years of work experience.
• Under 25 years old.

There were plenty of other detailed requirements, too, all tied to the role itself.

My first thought was that it had to be a typo. But after a few minutes, I started thinking about it differently. What if it was not a mistake? What if the recruiter was genuinely looking for someone young, flexible, and still able to deliver senior-level output?

It sounds extreme, but plenty of companies are looking for someone like this.

Why SMEs create unrealistic roles

Most SMEs do not create impossible roles because they like setting impossible standards. They do it because they are under pressure. They need growth, speed, and solid execution, but they often cannot afford multiple hires or senior-heavy teams.

The work still needs to get done. Marketing, operations, customer support, hiring, and admin all have to keep moving. But instead of building a team with clear roles, they squeeze several responsibilities into one position. They look for someone who can think strategically, move fast, adapt easily, and work with very little support. Sometimes they are not hiring for one role at all. They are really asking one person to carry the weight of several jobs.

At the core, they are trying to solve a real business problem with limited resources. 

Why AI agents make this fantasy feel possible

This is where AI agents start to change the picture.

The idea of one person doing the work of several people no longer feels unrealistic. When one employee has AI tools that can draft emails, summarise documents, organise information, suggest ideas, and automate repetitive tasks, that person can suddenly work much faster.

That is a big part of why AI agents are so attractive, especially for lean businesses. They feel efficient, flexible, and scalable. They can help marketers come up with content ideas, summarise campaign results, and prepare reports. They can help recruiters screen CVs, draft outreach messages, and manage interview schedules. In short, they can take a lot of repetitive work off people’s plates.

Also Read: Hospitality needs to treat AI agents like a new channel, not a new feature

And this is not just hype anymore. McKinsey’s 2024 global survey found that 65 per cent of respondents said their organisations were already using generative AI regularly in at least one business function. That does not mean AI is replacing entire roles, but it does show that companies are starting to treat it as a practical tool for everyday work, not just an experiment.

From a business point of view, the appeal is clear. AI agents look like a way to increase output without immediately adding headcount.

The real barrier is not only technology, but trust

The hardest part of using AI agents is not just the technology itself. It is trust, judgment, and the discipline to use them well.

It is fairly easy to trust AI with first drafts, summaries, or simple admin work. It gets much harder when the task involves customer communication, compliance, or decisions that depend on context. That is usually where hesitation starts.

I do not fully trust AI agents all the time. Some tasks that seem simple enough to hand over still do not come back as well as I expect. Sometimes the output is wrong. Sometimes the judgment is off.

And businesses know those mistakes are not always minor. A weak internal summary can be fixed. A poor customer response can damage trust. A compliance mistake can create much bigger problems.

You can see this gap between experimentation and real confidence at the company level, too. McKinsey reported in 2025 that while almost all companies are investing in AI, only one per cent believe they are truly mature in how they use it. The same report says the biggest barrier to scaling AI is not employees, but leadership not moving the change forward fast enough. That matters because many companies talk about AI as if it is just a tool issue, when in reality it is also a management and workflow issue.

So the real question is not just whether AI agents can do the task. It is whether businesses are comfortable relying on them when accuracy, accountability, and judgment really matter.

What AI agents might quietly take away from workers, especially junior talent

This is the part of the conversation I think we should pay more attention to.

A lot of the work AI agents are starting to handle is repetitive, low-risk, and operational. But that is also where many junior employees used to learn. That first layer of work was never just simple work. It was often where people built judgment, picked up context, and grew professionally.

Think about a junior marketer who no longer has to come up with content ideas, write campaign summaries, or prepare monthly reports, or a junior recruiter who no longer needs to screen resumes, schedule interviews, or manage candidate documents. A lot of junior employees used to learn through exactly these kinds of tasks. By drafting, organising, following up, researching, and handling simpler work first, they built pattern recognition, confidence, and judgment over time. 

Also Read: AI agents and the new rules of business execution

If AI agents absorb too much of that layer, companies may become more efficient in the short term, but weaker in the long term. If junior employees do not get enough real experience, where will future managers and specialists come from?

That is why AI adoption should not only be framed as a productivity story. It should also be part of a capability-building conversation. A company can save time today and still create a talent problem for itself tomorrow.

What companies should do instead

This is why businesses should stop thinking about AI agents only as a replacement tool and start treating them as a work redesign tool.

The better question is not, “How many people can AI replace?” It is, “Which tasks should AI take on, which should stay human, and which should be done together?”

AI agents are useful for repetitive admin, first drafts, summaries, sorting information, and process support. Humans are still better at relationship-building, final decisions, ethical judgment, and high-stakes communication. In most cases, the strongest model is not AI alone or human alone, but humans working with AI.

AI can also raise the floor for less-experienced teams. It can help people perform more consistently in areas like drafting, research, reporting, coordination, and execution. But exceptional talent will still stand out. Judgment, creativity, systems thinking, leadership, and taste are still much harder to compress.

That matters because it changes what company-building can look like. A business in Singapore or Australia, for example, may not need one person to do everything locally. It may make more sense to keep the most strategic roles close to home, build human teams in emerging talent markets like Indonesia or the Philippines, and let those teams work alongside AI agents.

That model can work across many functions, from software development to finance and accounting to sales and marketing. The goal is not to replace people. It is to build a more realistic and scalable way of working around them.

For SMEs especially, this matters. The answer is not to keep searching for one magical employee who can do everything. The smarter move is to build better systems around real people.

Also Read: The one-person company was always possible. AI agents make it probable

The end of the all-in-one employee

AI agents will absolutely change the way companies work. They will raise expectations around speed, output, and how much one person can get done. But they should not become an excuse for unrealistic hiring or weak team design.

The real opportunity is not to expect humans to do even more just because AI exists. It is time to rethink how work is shared, where people add the most value, and how teams are built more realistically from the start.

AI agents will not replace workers. But they may replace the fantasy of the all-in-one employee that so many SMEs have been searching for. And honestly, that may not be a bad thing. That fantasy was never a sustainable way to build a business in the first place.

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