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Illegal Employment on the Rise in Cyprus as Undeclared Work Declines

A recent report on the labour market in Cyprus has revealed a worrying increase in illegal employment, even as the rate of undeclared work shows signs of decline. The findings, which were discussed during a parliamentary session, have raised concerns among lawmakers and authorities alike about the ongoing challenges in combating labour exploitation and maintaining fair employment practices.

According to data presented by the Ministry of Labour, the issue of illegal employment—workers being hired without proper work permits or contracts—has escalated in recent months. This rise comes at a time when efforts to reduce undeclared work, where employees are not registered or insured, have seen moderate success. Despite progress in regulating the labour market, illegal employment remains a significant issue, especially in industries such as construction, agriculture, and hospitality.

Understanding the Distinction Between Illegal and Undeclared Employment

Illegal employment refers to the hiring of individuals who are not legally permitted to work, often due to their immigration status or lack of proper documentation. These workers are typically vulnerable to exploitation, receiving lower wages and lacking access to basic protections such as healthcare and social security benefits. In contrast, undeclared work involves the employment of individuals who may be legally allowed to work but are not officially registered, depriving them of insurance coverage and other legal protections.

While authorities have made strides in reducing undeclared work, particularly through stricter inspections and penalties, the rise in illegal employment presents a new challenge. Lawmakers pointed out that illegal employment poses even greater risks, as it not only harms the workers involved but also undermines the integrity of the labour market and contributes to unfair competition among businesses.

Factors Driving Illegal Employment

Several factors contribute to the increase in illegal employment, according to the Ministry of Labour. One key driver is the influx of migrant workers, many of whom lack the necessary documentation to work legally in Cyprus. Without proper channels for legal employment, these individuals often turn to unregulated jobs where they are vulnerable to exploitation.

The growing demand for cheap labour, particularly in sectors like construction and agriculture, also plays a significant role. Employers seeking to cut costs may resort to hiring illegal workers, bypassing the legal requirements for contracts, wages, and benefits. This practice not only puts workers at risk but also creates an uneven playing field, where businesses that comply with legal standards struggle to compete with those exploiting illegal labour.

Efforts to Combat Illegal Employment

In response to these findings, the government has pledged to intensify its efforts to combat illegal employment. This includes increasing inspections, imposing harsher penalties on employers found guilty of hiring illegal workers, and strengthening collaboration with immigration authorities. Additionally, there is a push to create more pathways for legal employment for migrant workers, ensuring they can enter the labour market with proper documentation and protections.

AI Makes 52% Of Workers Appear More Experienced Than They Are

Artificial intelligence is helping many office workers produce work beyond their experience level, making it harder for employers to assess underlying skills.

A survey of 9,684 working adults across the US, UK, Canada, the EU and Latin America by Use.AI found that 52% believe AI has made them appear more experienced than they are.

AI Is Raising Output Faster Than Skills

Some 64% said they had used AI to complete work they could not have done independently, while 43% said it enabled them to take on responsibilities they did not feel qualified to handle.

Another 35% said they would struggle to perform parts of their current jobs without AI, and 25% worried their employers see them as more capable than they are. Meanwhile, 39% had submitted AI-assisted work without telling their manager, and 30% had accepted praise for output substantially produced by AI.

For 19% of respondents, AI-assisted work had contributed to a promotion.

Should Employees Disclose AI Use?

As AI becomes embedded in everyday software, requiring disclosure of every interaction may be impractical.

“I do not think companies should require employees to disclose every interaction with AI,” Ihor Herasymov, co-founder and chief executive of Use.AI, told Euronews. He said disclosure should apply when AI materially shapes the work.

“If it generated a significant part of an analysis, recommendation, presentation, code or other consequential output, employees should disclose that assistance,” Herasymov said. Employees should remain responsible for understanding, verifying and defending the work they submit.

Managers Need New Ways To Assess Performance

AI-assisted workers are not necessarily unqualified, but finished work now reveals less about the person who produced it.

“Finished output still matters, but it is becoming a less complete measure of capability,” Herasymov said. Managers should also assess whether employees can explain their reasoning, identify weaknesses in AI-generated answers and make sound decisions when the technology fails.

Problem framing is another key skill, he said: “Can someone define the right question, challenge an assumption and explain why one course of action is better than another?”

Organizations are still developing ways to distinguish what employees can produce with AI from what they actually understand.

AI Tool Or Dependency?

The finding that 35% of workers would struggle without AI raises questions about whether augmentation can become dependency.

“Yes, I think that finding deserves to be taken seriously,” Herasymov said, arguing that the risk emerges when workers cannot recognize incorrect AI output or make sound judgments when the system has no reliable answer.

AI can make workers faster and expand their capabilities, he said, but weaker independent judgment is a trade-off employers and technology companies need to address.

AI Autonomy Is Accelerating

The challenge is growing as AI systems become more autonomous. Ventureburn, citing METR data, reported that the time required for AI autonomy to double has fallen from an eight-month trend to 4.7 months.

Autonomous capabilities increased 1,400% year over year between early 2025 and early 2026, while AI tool downloads reportedly rose from 15,000 to 11.8 million. Publicly available MCP tools increased 35-fold to about 177,000.

MCP, or Model Context Protocol, lets AI assistants connect directly to applications and data sources to perform tasks. As AI takes on more work with less human intervention, employers may need to assess not only the final output but also the judgment behind it.

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