Artificial intelligence is rapidly transforming the global labour market: many companies are already preparing for market changes through automation. This transformation represents not only a challenge, but also an unprecedented opportunity.
In this article, we reveal how AI is reshaping business and explain how everyone can use AI tools to optimise learning and remain competitive in the new reality.
What changes will AI bring to business?
The introduction of AI in companies such as IBM demonstrates — although automation leads to redundancies (e.g. the optimisation of thousands of jobs), it may have an unexpected reverse effect in the long term, creating more jobs. The reason lies in the release of financial and human resources, which companies redirect into areas with high added value: IT, marketing and customer service.
AI and automation technologies are taking over routine administrative tasks, from document processing to payroll calculation. The result is cost savings and an improvement in customer satisfaction indices. In response to such efficiency, the staff may not be reduced, and instead develop in areas where critical thinking and human interaction are irreplaceable.
The global forecasts are also unclear. The World Economic Forum has warned of the potential disappearance of tens of millions of jobs by 2030, but at the same time has highlighted the rapid emergence of new professions driven by AI development. Therefore, the key issue is adaptation: those who learn to interact with new technologies will gain an advantage in the labour market.
Education and AI: new opportunities for learning and development
In the context of dynamic changes brought about by the introduction of artificial intelligence, education systems — both corporate and personal — are also undergoing transformation. Learning is becoming not only more flexible but also more personalised, effective and scalable. AI opens the path to making the development of skills a continuous, relevant and future-oriented process.
How companies use AI for employee training
Leading organisations are already integrating AI into their internal learning systems in order to:
- Individualise learning: Adaptive platforms analyse employees’ needs and tailor content to their pace and level of knowledge.
- Automate onboarding and micro-courses: AI-based chatbots answer common questions from newcomers, conduct scenario-based training and suggest resources at the right moment.
- Ensure rapid knowledge search: Tools embedded in internal knowledge bases (such as Copilot in Microsoft Viva) allow employees to quickly obtain answers without manual searching.
- Assess progress and skills in real time: Learning analytics help HR teams make well-informed decisions about career development or the need for retraining.
Opportunities for personal development with AI
Even without corporate support, individual users can leverage AI for self-development:
- Preparation for certifications: ChatGPT and similar bots can help to structure learning, explain complex topics and generate test tasks.
- Personal AI assistants: Tools such as Notion AI and Grammarly offer suggestions and editing assistance on demand, which is useful for presentations, reports and study projects.
- Platforms with AI-curated content: Coursera, Udemy, and LinkedIn Learning are either already testing or have implemented recommendation systems, selecting the courses based on the skills to improve.
Data Quality — A Critical Factor
The effectiveness of any AI system is contingent on the quality of the input data. In the context of learning, this means:
- Up-to-date and structured learning materials
- Accurately labelled metadata (e.g. topics, complexity, objectives)
- User feedback for continuous system improvement
Even the most sophisticated tool will be unable to provide relevant or useful content without a comprehensive information base.
Expanding AI Opportunities: new access horizons for business and users in 2025
In 2025, artificial intelligence opens new horizons for businesses and users worldwide. Previously, these technologies were only available to large corporations and a select group of specialised users. Today, however, the latest AI tools are accessible to small and medium-sized enterprises, as well as individual users. The emergence of new models demonstrates how this tool is changing business processes, offering more opportunities for automation, personalisation, and efficiency. In the following section, we will examine the primary domains in which AI is currently being implemented and the potential benefits these technologies may offer in the future.
- Integration of AI into business processes: speed and efficiency
One of the key drivers behind businesses’ integration of AI into operational processes is the substantial increase in efficiency and the significant reduction in costs. AI has significant potential for automating routine tasks such as data processing, customer support, marketing campaigns and even content creation.
For instance, utilising modern flagship models to generate report drafts or initial responses to queries significantly reduces employee time costs and increases productivity. These models have the capacity to process large volumes of data, execute instructions that previously required extensive human resources, and adapt content to the needs of each client or user.
Furthermore, the ability to develop more accurate forecasts, build personalised marketing campaigns, analyse consumer behaviour and design new products allows businesses to be more flexible and adaptive, enhancing a company’s competitiveness in the market.
- AI accessible to a wide range of users: the democratisation of technology
As previously stated, the availability of leading models and affordable web tools has enabled AI to become accessible not only to corporations but also to small and medium-sized enterprises, paving the way for automating everyday processes and creating personalised services without significant costs.
According to recent studies, a significant number of small and medium-sized enterprises around the world will use AI to improve their operational processes. This suggests that AI tools will become the norm for automation, not only for large companies, but also for businesses of all sizes. This accessibility provides small and medium-sized enterprises with the opportunity to automate routine tasks without investing significant resources in hiring additional employees.
Concurrently, the development of AI is facilitating increased access to new opportunities for individual users. By subscribing to various platforms or using free versions, people can use AI for learning, creative projects, or even for personal productivity.
- AI in content creation: from marketing to education
One of the most significant impacts of AI on modern business is the way it transforms the content creation process. Advanced AI models are now being used to generate text, video and audio content, making these processes faster and more efficient. For instance, the implementation of sophisticated language models in marketing enables the generation of personalised marketing materials, the automation of social media post creation, the execution of email campaigns and the creation of content for websites.
The market for automated content creation is predicted to grow rapidly, opening up new opportunities for businesses that want to effectively use digital channels to communicate with customers. Concurrently, this contributes to the advancement of online education, where courses, lectures and learning materials can be adapted and personalised for each student with the use of AI.
- Models with reasoning capabilities: a step towards more complex applications
The increasing complexity of AI models allows for the creation of systems capable of more complex reasoning. However, recent studies indicate that these sophisticated models frequently make more errors and generate so-called “hallucinations”, where the model generates information without factual or source-based support. This poses a serious challenge for companies that use such models to make important decisions.
However, despite these issues, it is important to understand that the development of models with reasoning capabilities allows businesses to make more complex and informed decisions based on big data analysis. We can expect these problems to gradually diminish in the future with the development of technology.
- Security and ethics in AI use: challenges for business
As AI becomes more accessible to businesses, a new set of challenges arises, particularly in terms of security and ethics. It is imperative that companies utilising AI for data analysis or decision-making ensure comprehensive protection of user data and adhere to ethical principles in the development and implementation of technologies.
According to surveys, many top business executives consider AI security to be one of the biggest challenges they face. However, as technology advances, companies will be required to develop new strategies to ensure the security and ethics of AI use.
- Prospects for the future development of AI for business
The future of AI in business appears to be a promising one. Technologies will improve, automation will become more widespread and reasoning models will become more powerful. Consequently, this will require business to constantly adapt to new conditions and technologies. It is evident that companies which are implementing AI into their processes are already gaining significant competitive advantages in the market.
BDO Ukraine has a specialist industry group that implements AI solutions in business processes. The team analyses the existing systems, selects the most suitable AI tools and organises training sessions.
Contact us if you want to integrate AI into your business and remain at the forefront of innovation.
