Discussions around AI and its impact on the future of work—particularly concerns about AI replacing human workers—have been circulating for years. As AI's capabilities advance and implementation spreads across industries, these conversations have only intensified.
Beyond the attention-grabbing headlines about AI taking jobs, AI has some positive effects in the workplace, especially AI agents, which offer businesses a way to optimise their operations through intelligent, autonomous systems that continuously learn and adapt.
To better understand the evolving landscape, we decided to speak with Sergii Bataiev, Director of Architecture and Technology at ELEKS.
How is AI affecting the job market?
“Artificial intelligence is rapidly changing the professional landscape, gradually taking over more and more work functions. Today, AI is primarily used to analyse the quality and results of work, but as technology develops, its capabilities are significantly expanding. A recent example from the Italian newspaper Il Foglio, which published the world's first supplement entirely written using generative artificial intelligence, clearly demonstrates this trend. Journalists only provided AI with prompts based on current news, and the technology independently generated headlines, summaries, and articles.”
What are the implications of publishing AI-generated content without human editing?
“Over time, artificial intelligence will become even smarter and able to perform increasingly complex tasks across various industries. The Il Foglio experiment shows not only the technical capabilities of AI but also raises important questions about the future of human professions and the reliability of machine-created content. It's particularly notable that the editorial team deliberately chose not to correct potential errors in AI-generated materials, leaving them "as is"—this highlights both the strengths and limitations of current artificial intelligence technologies in creative professions.”
In your experience, where have AI implementations failed to live up to the hype?
“Healthcare shows no signs of embracing the AI revolution, which has already transformed multiple industries. Medical imaging and diagnostics have experienced breakthroughs, yet practical implementation remains restricted due to various challenges. AI tools experience fundamental problems when integrating into clinical workflows and must overcome regulatory barriers before they can transition from research to everyday practice.
The current state of conversational AI fails to meet expectations. Patients experience problems with context understanding and fail to recognise nuances while generating factual errors that become dangerous in precise medical environments.
These shortcomings directly affect the bottom line. Organisations that spend heavily on AI technology must navigate multiple challenges, including poor-quality data, integration problems with legacy systems, and ongoing human oversight requirements. The result? The substantial financial investment fails to produce sufficient returns, which creates an expanding difference between initial costs and financial gains.
Healthcare companies find that their financial calculations fail to support AI adoption. The initial excitement about new projects ends with abandoned initiatives and reduced objectives because organisations discover that implementation challenges exceed their expectations. The expected transformation of healthcare systems remains out of reach because cost-justification calculations do not meet the substantial expenses involved.”
We suggest conducting a technical feasibility study for all new technologies and innovations, especially in industries with strict regulations. This study will help you understand the risks and benefits of a technology before you invest in it. At ELEKS, we can help you look at the current market and see how it compares to potential returns from emerging technologies. If we find that a technology doesn’t provide enough business value right now, we will help you plan for when the time is right and there’s a viable use-case or resource-saving potential.
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