2025 marks a turning point in the impact of artificial intelligence (AI) on the world of work. While emerging technologies offer tangible benefits by optimizing processes and transforming industries, they are also fueling growing concern among professionals. According to the Microsoft and LinkedIn 2024 Job Trends Index, 45% of workers fear losing their jobs due to the rise of AI and other emerging technologies. This contrast between opportunities and risks raises key questions about the future of work and the adaptability of the global workforce.
Technology will not eliminate jobs, but will transform and enhance them. “Just like at the end of the 19th century, when the riders who guided carriages did not lose their jobs due to the appearance of the automobile, but instead had to train and evolve into drivers; in 2025 we are experiencing a technological revolution that will modify professional profiles in all industries. industries,” explains Héctor García, CEO of Netsoft in Mexico.
This transition will not be exclusive to one sector, as occurred in the past with the mobility revolution or initial digitalization, but will have a transversal impact on practically all industries that drive the global economy. From manufacturing, where AI is automating production lines and optimizing resource management, to the healthcare sector, where its ability to analyze massive data is revolutionizing personalized diagnosis and treatments. Education is not exempt: tools powered by artificial intelligence are personalizing teaching to levels previously unimaginable. Even sectors traditionally resistant to change, such as legal or financial, are already experiencing the incorporation of advanced analysis and prediction systems.
However, it is industries such as technology, commerce and transportation that stand out for their immediate effects, accelerating the adoption of AI-based solutions that are redefining not only operational processes, but also the end-user experience. In this context, the challenge will be to guarantee an equitable transition, with special attention to workforce training and ethical regulation of the use of these technologies.
How will industries change with AI in 2025?
Health: Faster and more accurate decisionsAI is already revolutionizing the healthcare sector, transforming both diagnoses and treatments significantly. Advanced tools, such as deep learning algorithms, are capable of analyzing X-rays and other medical images with accuracy comparable or even superior to that of specialists, and in a fraction of the time. In addition, artificial intelligence is enhancing the early detection of diseases, such as cancer, by identifying patterns invisible to the human eye. In parallel, AI-based systems are optimizing hospital management, from bed allocation to demand prediction in emergency rooms.
In the treatment space, technologies such as medical chatbots and virtual assistants are improving primary care by offering basic advice, freeing up time for doctors and reducing patient waiting times. Even medical research is experiencing unprecedented advancement, with AI accelerating drug development and personalizing therapies based on genomic analysis.
Given this scenario, health professionals must not only learn to work with these tools, but also to interpret their results and maintain an ethical and human approach in their relationship with patients. This raises the urgent need to incorporate technology and digital skills training into medical curricula, to ensure that these innovations translate into more efficient, accessible and empathetic care.
Customer Support: Personalized Experiences
E-commerce and customer services are undergoing a profound transformation thanks to artificial intelligence. Advanced chatbots, supported by natural language models, no longer just resolve questions instantly; They also offer more human and personalized responses, adapting to each client’s tone, preferences and history. These tools not only improve the user experience, but also optimize response times and allow businesses to operate continuously, regardless of time zones.
WIRED interviews Ivan Ostojić, Business Director at Infobip, a global leader in cloud communications and conversational AI, to discuss the adoption of chatbots and AI in Latin America.
Beyond chatbots, AI systems are revolutionizing the way companies anticipate customer needs. Machine learning algorithms analyze large volumes of data in real time to provide product recommendations, predict purchasing behavior, and manage logistics more efficiently. Even in more complex situations, such as conflict resolution or technical queries, AI is serving as an assistant for human agents, providing them with instantly relevant information to make better decisions.
In this context, customer service professionals will need to evolve into more strategic roles, focusing on managing AI tools, interpreting data, and constantly improving the user experience. In addition, it will be key to cultivate skills such as empathy and effective communication, which complement technological capabilities and maintain human connection in an increasingly automated environment.
Cybersecurity: Proactive prevention
Artificial intelligence is profoundly transforming the field of cybersecurity, redefining how digital threats are detected and mitigated. Advanced AI systems are now capable of analyzing large volumes of data in real time, identifying anomalous patterns that could indicate attacks in progress, such as phishing, ransomware or network intrusions. Furthermore, AI not only reactively detects threats, but also predicts potential attack vectors, allowing organizations to prevent incidents before they occur.
Cybersecurity experts talk at the WIRED Summit 2024 about the arrival of AI and the challenges it poses for the technology industry.
Additionally, machine learning-based technologies are evolving toward adaptive security strategies, automatically adjusting defenses based on attacker behavior and emerging vulnerabilities. This is especially valuable in an environment where cybercriminals are also using AI to develop more sophisticated attack techniques.
The role of cybersecurity specialists is changing accordingly. Instead of focusing solely on manual responses, they are now focused on interpreting the data generated by these advanced tools, adjusting protection strategies, and ensuring that the solutions implemented align with the specific needs of each organization. Collaboration between humans and machines in this area will not only significantly reduce risks, but will also allow companies to proactively anticipate future threats.
Cloud and automation: Smarter infrastructures
Cloud architects are at the center of a technological revolution driven by artificial intelligence. AI is optimizing the management of digital infrastructures, enabling more efficient management of resources and automating repetitive tasks that previously required manual intervention. This not only frees up time to focus on strategic aspects, but also improves the resilience and performance of systems.
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Google Cloud announced this Wednesday the opening of its new cloud region in Querétaro, Mexico, number 41 globally, which is already in operation. This inauguration consolidates its presence in Latin America as the third cloud region in the region, joining those of Santiago de Chile and São Paulo, Brazil.
For example, automated orchestration systems and cloud ERP platforms are integrating AI capabilities that allow them to monitor operations in real time. These systems are able to identify bottlenecks or potential failures instantly, and, more importantly, propose and in some cases implement solutions without the need for human intervention. This ability to anticipate and react to problems reduces downtime, improves the end-user experience, and optimizes the cost of operating digital infrastructures. Additionally, AI is enabling a more granular approach to resource allocation, dynamically adjusting storage or processing capacity based on demand. The future of the cloud will not only be more automated, but also more intelligent, marking a before and after in how organizations manage and take advantage of their digital ecosystems.
Fraud Detection: Safer Finances
In the financial sector, artificial intelligence is revolutionizing the detection and prevention of fraudulent activities. Machine learning systems are capable of analyzing large volumes of transactions in real time, identifying anomalous patterns that could indicate fraud, such as atypical movements, suspicious access or unusual account activities. These systems not only detect threats faster than traditional methods, but they also constantly learn and improve, adapting to new strategies employed by fraudsters.
The OECD indicates that a 10% increase in automation with generative AI could raise labor productivity by 5.6%.
In addition to preventing fraud, AI is transforming other critical aspects of the sector, such as credit risk assessment and personalization of financial services. For example, advanced algorithms can analyze credit histories and alternative data to offer more affordable and equitable loans, especially in underserved markets.
For financial professionals, this transformation involves a transition to more specialized roles. They must develop skills in the interpretation of data generated by these systems, as well as in the implementation of preventive measures based on the findings. This requires not only technical knowledge, but also a deep understanding of the regulations and ethical principles that govern the use of AI in finance.
In this new landscape, collaboration between humans and machines will be key to maintaining the integrity of the global financial system, guaranteeing not only operational efficiency, but also user trust in an increasingly complex digital environment.
Tangible benefits in the labor market
The impact of AI is not only reflected in the transformation of roles, but also in salary improvements. According to the PwC Global AI Barometer 2024AI experts will see salary increases of up to 25% in the coming years.
Furthermore, the sectors most exposed to this technology are registering 4.8 times higher labor productivity compared to less digitalized industries.
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