Business news from Ukraine

Business news from Ukraine

Ukraine has developed pilot AI accessibility advisor

Under a memorandum between the Ministry of Community and Territorial Development of Ukraine and the Kyiv National University of Construction and Architecture, and with the support of the flagship project “Movement Without Barriers,” a team of researchers has developed a pilot AI accessibility consultant in ChatGPT.

The tool helps users quickly obtain basic answers with references to DBN standards, which, in particular, regulate issues of inclusivity and accessibility, as well as advice for specific spaces or situations.

The AI consultant does not replace architects and accessibility experts, but it can serve as a convenient first step to get oriented, verify solutions, or prepare for working with specialists.

“For me, the topic of accessibility isn’t an abstract policy, but a personal story. My dad is a veteran with a disability who uses a wheelchair, and every day I see the barriers he faces. That is why the launch of the AI accessibility consultant is an important step toward making spaces in Ukraine truly accessible, not just ‘on paper.’” — Artem Goncharenko, Accessibility Ambassador at the Ministry of Education and Science

This approach is intended to make the process of creating an accessible environment more systematic, consistent, and understandable for communities, businesses, and everyone who works with public spaces.

The AI consultant is constantly updated with materials and technical data. The project is coordinated by the KNUBA Veterans Institute and the KNUBA Expert Working Group on Accessibility. If you have any questions while using the tool, please contact us at: veterano@knuba.edu.ua.

The materials generated by the AI Consultant are for informational purposes only. It is recommended to verify the information in accordance with current regulations and consult with specialists if necessary.

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Experts named skills that will ensure specialist’s competitiveness in age of artificial intelligence

The use of artificial intelligence has already become an everyday practice for most students and employees; however, in the labor market over the coming years, the key competitive advantage will remain not technical but human skills — communication, leadership, emotional intelligence, critical thinking, and the ability to work with people. This was the conclusion reached by participants in the press conference on the topic “Higher education and MBA education in the era of artificial intelligence. Which professions and skills will remain with humans?”, which took place at the Interfax-Ukraine agency on Wednesday.

As Director of the Center for Business Education and Advanced Training of the Institute of Psychology and Entrepreneurship Maria Furman reported, the study, conducted on the basis of cooperation between students and business, covered more than 250 respondents from the fields of law, HR, IT, consulting, marketing, management, foreign economic activity, education, sales, and finance.

“Currently, more than 97% of respondents already use artificial intelligence in work or everyday life, and more than 50% turn to it at least once a day. The most widespread tools turned out to be ChatGPT, Google Gemini, Claude, and Copilot, while the main usage scenarios were explaining complex information, writing and editing texts, generating ideas, translation, data analysis, and preparation of summaries,” she noted during the presentation of the study “The Use of AI in Work and Everyday Life.”

At the same time, according to Furman, the spread of AI does not mean an automatic increase in trust in its answers. She drew attention to the fact that about 30% of daily functions are already being replaced by such tools; however, the largest share of respondents assessed the level of trust in AI answers as moderate — information can be trusted only on condition of verification. More than 50% of respondents always verify generated answers, another 33% do so if the information looks suspicious, and 13% do so when it concerns especially important work. In addition, more than 30% of respondents very often encountered distortion of information, while another 53.6% reported that such cases had happened to them several times.

“According to estimates by the World Economic Forum, by 2030 more than 40% of skills in the world will change, and this means a need for rapid retraining of both current employees and students. She emphasized that higher education must not simply familiarize young people with digital tools, but rebuild approaches to learning in such a way as to prepare specialists capable of working together with AI, rather than mechanically relying on it,” the expert stressed.

According to her, artificial intelligence has already become part of education and business, but its effect lies not in the complete replacement of humans, but in the transformation of their functions.

“That is precisely why analytical thinking, communication, adaptability, people management, emotional intelligence, and creativity are of particular value today,” Furman stressed.

She added that AI will not be able to displace managers, psychologists, HR specialists, communications managers, teachers, mentors, as well as those responsible for strategy and team development, since in these professions human trust, leadership, empathy, and the ability to work with context remain decisive.

For her part, Doctor of Economics, Professor, Vice-Rector for Scientific-Pedagogical and Educational Work of the Institute of Psychology and Entrepreneurship Iraida Zaitseva emphasized that even the most powerful algorithms cannot replace a leader, since they are devoid of consciousness, creativity, and moral reflection. She recalled that a machine can advise cutting staff for the sake of higher profit, but is not capable of assessing the social, ethical, and even geopolitical consequences of such a decision.

“Artificial intelligence is a powerful engine, but only a human should be the pilot who knows where and why they are flying. We teach students not simply to use the tool, but to validate decisions, critically treat the algorithm’s ‘black box,’ and bear personal responsibility for the result. At the institute, AI is allowed to be used as an auxiliary means for structuring material or searching for ideas; however, the student is obliged to indicate the fact of its use, verify sources, and be responsible for the content of the work, otherwise this may be regarded as academic dishonesty,” Zaitseva noted.

CEO of Capolavoro Group (Brazil), lecturer at the Brazilian AMF institute, and investor in technology startups Wesley Lacerda focused attention on the risks of the improper use of artificial intelligence in business. In his assessment, the main danger lies not only in the technology as such, but in the gradual cognitive weakening of a person, when the user becomes accustomed to transferring their own memory, analytical abilities, speech, and even elementary ability to make independent decisions to the machine. In his presentation, he separately named cognitive deterioration, decline of intelligence, weakening of the ability for reflection, and loss of social skills as the main risks of the broad implementation of AI.

“Artificial intelligence should be used as a tool for data analytics, not as a replacement for human thinking. When a person ceases to understand what stands behind the machine’s answer, they lose their own cognitive abilities, and together with them, the ability to make independent decisions,” Lacerda noted during his presentation.

He also drew attention to the fact that the new wave of automation is generating demand first of all for AI analysts, AI engineers, specialists in AI Ops, and algorithmic audit, and not only and not so much simply for IT specialists. However, even in these roles, what remains decisive is the human understanding of what is being done and for what purpose, and not only the ability to write the correct prompt for the machine.

For her part, 3S Agency recruiter Sofia Vorushko emphasized that in the hiring sphere, artificial intelligence creates an illusion of objectivity, but still cannot replace a live recruiter. According to her, candidates are increasingly better prepared for interviews with the help of AI, use correct wording and socially desirable answers; however, the algorithm is not capable of fully reading non-verbal signals, understanding a person’s motivation, their real experience, and their fit with the culture of a specific company. She gave the example of two seemingly identical executive assistant vacancies, for which in practice completely different candidates were needed due to the different management styles of the managers.

“Today the market is evaluating an employee less and less only by hard skills and more and more by soft skills. Communication, resilience, flexibility, adaptability, leadership, and the ability to build relationships are becoming critically important, because they are the hardest to automate,” Vorushko added.

She referred to global estimates according to which 63% of employers call the shortage of soft skills a barrier to business development, 67% of companies are looking for flexibility and adaptability, 61% — leadership and social influence, while demand for social and emotional skills will grow by another 24% by 2030. According to the recruiter, currently 75% of an employee’s long-term success depends specifically on soft skills, while hard skills account for only about 20%.

At the same time, Director of LLC “Formatsiya” Mykola Hoi noted that for a business built on communication with clients, partners, dealers, manufacturers, and suppliers, the direct transfer of decisions to AI is extremely limited. According to him, in his company, which operates in the field of solar energy, about 95% of working time is precisely work with people, and therefore template algorithms are not capable of fully replacing live contact either in sales, in team selection, or in the development of marketing solutions.

“In business, artificial intelligence can be used, but only if its limits are understood very clearly. Founding a business, selecting a team, marketing, sales, work with the client, and rapid decision-making in a changing environment remain the zone of human responsibility, because here what is needed is not templates, but knowledge, experience, and understanding of another person,” Hoi stressed.

He added that the use of AI in HR processes can lead to mistakes if a company tries to assess candidates only by formal features, without giving a person the opportunity to reveal their potential in live communication.

Separately, the participants noted that the Institute of Psychology and Entrepreneurship is focusing on specialties that, in the opinion of the organizers, are least susceptible to automation: personnel management, communicative management, and psychology. The institution reported that the cost of bachelor’s studies is UAH 42 thousand per year, and at the college — UAH 28 thousand per year; cooperation was also announced with partners in the Baltic countries, as well as in Poland, the UAE, and Brazil, where students can undergo internships. Thanks to the ontological approach, which helps develop the personality, and the combination of psychology with up-to-date knowledge from business practitioners, the institute’s students comprehensively develop personal and professional skills. This helps them become high-level managers and not be dependent on technologies. This level of training allows students, starting from the second year, to work in business projects in their professional specialty.

Summing up the discussion, the experts agreed that Ukrainian higher education and MBA programs can no longer ignore artificial intelligence, but also should not make it an end in itself. It is not about a struggle between human and machine, but about a new distribution of roles, in which AI takes over routine, analytical, and technical functions, while strategy, ethics, creativity, empathy, team management, and responsibility for decisions remain with humans. It is precisely these qualities, in the opinion of the event participants, that will determine a specialist’s competitiveness in the next 5–10 years.

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Schneider Electric Unveils Agent-Based AI for Manufacturing at Hannover Messe 2026

Schneider Electric, a global leader in energy technologies, showcased new developments in its strategic partnership with Microsoft at Hannover Messe, demonstrating how their combined technologies help manufacturers modernize operations, accelerate engineering processes, and enhance sustainability.

Schneider Electric provides the industrial foundation for this collaboration through EcoStruxure Automation Expert—its open, software-defined automation platform that operates seamlessly in on-premises, edge, and hybrid environments. Microsoft extends this foundation with Azure cloud services and artificial intelligence solutions that analyze and optimize industrial processes. The result is a unified approach to agent-driven manufacturing, open automation, and end-to-end sustainability.

Today, manufacturers face increasing product variability, supply chain volatility, and heightened pressure to modernize safely. Schneider Electric addresses these challenges by combining engineering design with real-time operations. Their joint platform enables teams to standardize reusable logic, validate automation through simulation, ensure traceability throughout the entire lifecycle, and scale interoperable operations across different sites and equipment.

Schneider Electric is collaborating with Microsoft to develop the next generation of agent-based, software-defined manufacturing—an integrated workflow spanning design, engineering, construction, commissioning, and operations. At its core is EcoStruxure Automation Expert, which allows manufacturers to create, model, test, and deploy automation logic once and run it anywhere without additional reconfiguration. Schneider Electric’s deep expertise in safety, compliance, and industrial integration ensures reliability in highly regulated environments.

“From agent-based design to software-defined operations, Microsoft and Schneider Electric demonstrate a unified, interoperable workflow that enables the consistent verification, simulation, and deployment of automation logic both in the cloud and at the edge,” said Gwenel Yue, Executive Vice President of Industrial Automation at Schneider Electric.

While traditional automation software requires separate tools and handoffs between stages—design, simulation, commissioning, and operations—the shared platform unifies them into a single, transparent workflow. Specialized AI agents, coordinated by a centralized control system, automate routine engineering tasks and verify logic before implementation, reducing time from design to launch and increasing efficiency on the first attempt. Schneider Electric’s industrial copilot for manufacturers, powered by Azure AI, is already delivering results in the field: engineering teams report a 50% reduction in time spent configuring control systems and preparing documentation, and changes to production lines that previously took weeks are now completed in hours.

In one project to implement autonomous green hydrogen production in real-world conditions in collaboration with H2E Power, an Indian pioneer in the green hydrogen sector, the platform delivered over 6,000 hours of stable autonomous operation in one of the most demanding industrial environments — high-temperature solid oxide electrolysis for green hydrogen production — reducing the levelized cost of hydrogen by 10%, equivalent to approximately €500,000 per year for a typical 10 MW plant.

“Thanks to agent-based design, we close the loop from engineering concept to operational reality by automating solutions, ensuring early validation, and delivering reusable automation packages that Schneider Electric can model and consistently deploy both in the cloud and at the edge,” said Dayan Rodriguez, Corporate Vice President of Manufacturing and Mobility at Microsoft.

At their booths at Hannover Messe 2026, Schneider Electric and Microsoft presented hands-on demonstrations of early-stage joint innovation capabilities, including live demos, engineering AI, and an ecosystem of open standards, as part of a large-scale program to develop the next generation of manufacturing.

About Schneider Electric

Schneider Electric is a global leader in energy technologies, driving efficiency and sustainability through the electrification, automation, and digitalization of industry, business, and residential spaces. The company’s technologies enable buildings, data centers, factories, infrastructure, and power grids to function as open, interconnected ecosystems, enhancing productivity, resilience, and sustainability.

The company’s portfolio includes smart devices, software-defined architectures, AI-based systems, digital services, and professional consulting services. With 160,000 employees and 1 million partners in over 100 countries, Schneider Electric consistently ranks among the world’s most sustainable companies.

Learn more at https://www.se.com/ua/uk/

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Indian Prime Minister Modi calls on international community to shape “human-centered” future for artificial intelligence

Indian Prime Minister Narendra Modi called on the international community to shape a “human-centric” future for artificial intelligence and presented the MANAV framework for global AI governance at the AI Impact Summit 2026 in New Delhi.

According to Modi, AI has the potential to accelerate change to a scale that was previously measured in decades, so it is crucial to adopt an approach where technology serves people, not the other way around, and where the well-being of society is at the center.

Within the framework proposed by India, MANAV (meaning “human”), the prime minister outlined five pillars: moral and ethical principles, accountable governance, respect for national sovereignty over data, accessibility and inclusiveness, and the legality and verifiability of AI systems.

Modi separately emphasized the need to counter deepfakes and disinformation, proposing the introduction of common standards for labeling digital content, including watermarks and source verification, and stressed the importance of protecting children when interacting with AI.

As examples of the practical application of AI in India, he cited the digital assistant for farmers, Sarlaben, which, according to him, provides advice on livestock health and dairy farm productivity, as well as initiatives for multilingual consultations for farmers, including Bharat-VISTAAR.

The Prime Minister also said that as part of the India AI Mission, India is rolling out computing infrastructure and a national repository of data and models to make access to capabilities cheaper for startups and accelerate the development of the AI ecosystem.

Full version of Modi’s address

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AgriAcademy opens registration for a free course on “The Application of Artificial Intelligence in the Agricultural Sector”

AgriAcademy is now accepting registrations for a new free practice-oriented course, “The Application of Artificial Intelligence Technologies in Agricultural Production,” designed for representatives of small and medium-sized agricultural businesses, agricultural enterprise managers, agricultural consultants, and technology specialists.

The course was created by a team from the non-governmental organization “Club of Experts,” which participated in an open competition for proposals to develop online training courses held by the Food and Agriculture Organization of the United Nations (FAO) in partnership with the Ministry of Agrarian Policy and Food of Ukraine and the Ministry of Education and Science of Ukraine in 2025 with the aim of overcoming the shortage of professional knowledge and skills in the agricultural sector, food and processing industries, with a focus on representatives of small and medium-sized businesses (SMEs) in Ukraine.

The agricultural sector is entering a phase where competitiveness is determined not only by production technologies, but also by the quality of data processing. While a few years ago AI was perceived as an experimental technology, today it is becoming a basic tool for managing yields, resources, risks, and market strategies. The new course helps to move from a theoretical understanding of AI to practical implementation with measurable economic results.

What participants will gain

Upon completion of the course, participants will be able to:

understand how AI models work in the agricultural sector;
assess the economic feasibility of implementing AI;
build simple prototypes of yield forecasting models;
work with multi-source data (sensors, satellites, weather, production logs);
develop a roadmap for the digital transformation of the enterprise;
avoid common mistakes in implementing expensive but ineffective digital solutions.

Course program: from basic principles to management decisions

Introduction. AI as a new infrastructure for agricultural production

The transition from intuitive management to data-driven approaches. How to start with a pilot and quickly assess the effect.

Module 1. Artificial intelligence opportunities for agribusiness

machine learning and generative AI in the agricultural sector;
working with agricultural data and sensor infrastructure;
automation of analytics and management processes;
forming the data architecture of an enterprise.

Practice: analysis of the possibilities of implementing IoT and Big Data in your own business.

Module 2. Resource optimization and productivity improvement

Yield forecasting and climate risk management;
Use of satellite and field data;
Optimization of water, energy, and bioenergy processes;
Building AI forecasting models.

Practice: Creating a prototype yield forecasting model based on multisensor data.

Module 3. Implementing AI in business management

AI in animal husbandry, logistics, sales, and finance;
KPI automation and digital project management;
scaling and adapting international experience;
evaluating the ROI of digital solutions.

Practical exercise: developing an AI implementation plan for your own enterprise.

Key learning outcome

The course provides a systematic overview of the use of artificial intelligence, from data collection to management decisions. Agriacademy participants will learn not only to test technologies, but also to build economically sound digital solutions for real agribusinesses.

Course authors and instructors

Experts at the intersection of IT, science, business, and management are involved in teaching:

Artem Goncharenko – IT entrepreneur, president of the International Transfer Technology Association, expert in technological development and digital monitoring systems.
Andriy Stanko – Doctor of Computer Science, expert in IoT, Smart City, monitoring systems, and sustainable development.
Oleksandr Morozov-Leonov – AI specialist, researcher in the field of computing technologies.
Maksym Urakin – PhD in Economics, founder of the NGO “Club of Experts,” expert in analytics and economic processes.

Who is this course for

owners and managers of agricultural enterprises;
agricultural managers and technologists;
specialists in the digitalization of the agricultural sector;
agricultural market consultants and analysts;
representatives of agricultural SMEs planning digital transformation.

How to join

Registration is now open on the AgriAcademy platform!

The course will be a practical tool for those who want to move from reactive management to a predictive, information-oriented agribusiness model.

The course is free and open to all registered users of the AgriAcademy platform.

Participants can study the materials online at their convenience, without time restrictions, and after successfully completing the final test, they will receive a certificate.

AgriAcademy is a free online learning platform created on the initiative of the EBRD as part of its food security support program in Ukraine. Its goal is to strengthen the competitiveness and sustainable development of agriculture, which has suffered significant losses due to the war.

The creation and management of the platform (including the development of courses, training tours, etc.) is carried out with the support and funding of the EBRD, as well as:

The EBRD’s Multilateral Donor Account for Stabilization and Sustainable Growth in Ukraine (donors: Denmark, Finland, France, Germany, Italy, Japan, the Netherlands, Norway, Poland, Sweden, Switzerland, the United Kingdom, the United States, and the European Union as the largest donor);
The Republic of Ireland through the EBRD Small Business Promotion Fund (other donors to the fund: Italy, Japan, South Korea, Luxembourg, Norway, Sweden, Switzerland, Taipei China, and the United States);
The Food and Agriculture Organization of the United Nations (FAO).

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Motivair by Schneider Electric Announces New Coolant Distribution Unit Scalable to 10 MW and Beyond for Next-Generation AI Factories

Motivair by Schneider Electric Announces New Coolant Distribution Unit Scalable to 10 MW and Beyond for Next-Generation AI Factories

Motivair by Schneider Electric, a leading innovator in liquid-cooling technologies for digital infrastructure, today introduced a new, industry-leading 2.5 MW Coolant Distribution Unit (CDU) designed to reliably cool high-density data centers.

The MCDU-70 model is the highest-capacity coolant distribution unit of any Motivair solution, offering a revolutionary, flexible, and scalable solution to meet the stringent requirements of next-generation graphics processing units (GPUs) and gigawatt-scale artificial intelligence factories.

Using Schneider Electric’s EcoStruxure software, Motivair CDUs operate as a centralized system—meeting today’s cooling needs with the ability to scale to 10 MW+ for next-generation high-performance computing (HPC), AI, and accelerated computing workloads.

Compact and efficient, the MCDU-70 is the latest addition to Motivair’s CDU lineup, delivering powerful cooling without compromise—fully maintaining system flow and pressure performance even at gigawatt scale. Its performance is ideally suited to the needs of large facilities such as the NVIDIA Omniverse DSX Blueprint, where deployments are designed for 10 MW to reach gigawatt scale. At 2.5 MW each, six MCDU-70 units can support a 4+2 configuration with redundancy, and the unit’s capacity aligns with NVIDIA’s GPU roadmap for the near term.

“AI is not slowing down. Our solutions are built to keep pace with the evolution of chips and silicon technologies—delivering next-generation performance exactly when it matters most,” said Rich Whitmore, CEO and President of Motivair by Schneider Electric.

“The success of data centers today depends on the ability to provide scalable, reliable, and energy-efficient infrastructure solutions that meet the requirements of next-generation AI factories. We are meeting this challenge with proven liquid-cooling solutions that scale along with our customers’ needs.”

With the addition of the MCDU-70, Schneider Electric’s full liquid-cooling solutions portfolio now offers CDUs with a power range from 105 kW to 2.5 MW, meeting both current and future performance requirements.

Each CDU is scalable and seamlessly integrates with other Schneider Electric devices and software, delivering a precise and reliable cooling system for data center operators.

The MCDU-70 is now available to order worldwide through Schneider Electric’s advanced manufacturing hubs in North America, Europe, and Asia.

To learn more, visit the website.

Related resources:

About Motivair by Schneider Electric

Motivair by Schneider Electric is a leading global provider of advanced liquid-cooling solutions built to overcome the most complex thermal challenges of modern computing systems.

As a trusted partner to silicon chip manufacturers and server OEM companies, Motivair delivers technologies that enable breakthroughs in artificial intelligence and high-performance computing (HPC), improving data center performance and reliability—both colocation and hyperscale.

From chip to chiller, Motivair offers a comprehensive portfolio of products, systems, and services that support innovators shaping the digital world of the future.

www.motivaircorp.com/

About Schneider Electric

Schneider Electric is a global leader in energy technologies, delivering efficiency and sustainability through the electrification, automation, and digitalization of industry, business, and homes.

Its technologies enable buildings, data centers, factories, infrastructure, and power grids to operate as open, interconnected ecosystems, improving their productivity, resilience, and environmental performance.

The company’s portfolio includes intelligent devices, software-oriented architectures, AI-based systems, digital services, and expert consulting.

With 160,000 employees and 1 million partners in more than 100 countries, Schneider Electric consistently ranks among the world’s most sustainable companies.

www.se.com

Discover the latest perspectives and trends in energy technologies on Schneider Electric Insights.

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