The launch of ChatGPT in 2022 was the kick-off to a series of changes that came in the mainstay of Generative AI (IAGen), providing the most diverse technological innovations worldwide. Of course, there are many speculations about what should still occur in the coming years when it comes to the topic, but in 2025, what can be expected in terms of AI trend?
According to the expert in the area, Paulo Henrique de Souza Bermejo, who has a postdoctoral degree in Innovation at Bentley University in Massachusetts/USA, and Executive Certification in Strategy and Innovation, through MiT, some issues in this regard are already being discussed, both in the market and in the field of research.
He pointed out that in relation to 2025, one can expect, for example, a more capable and personalized Generative AI. According to him, the great creators of large-scale language models (so-called LLMs, from the English “large language models”), which are a kind of core for generative AIs, continue in full evolution.“Investments are being made so that these models become more robust and specialized, capable of generating even more accurate and creative content, besides acting in highly specific contexts, new resources are being increased to allow users, including users, not being able to create their own Chat, but also to create personal agents, such as well as well as well as Google agents, such as well as well as well as to create their own, such, such, such, such, such, such, such, such, such, such, such, such, such, such as Google should be able to create their own, such, such, such as to create their own personal agents, such, such, such, such, such, such as Google, that they should be able to create their own, such, such, such, such, that they should be able to create their own, such, that they should be able to create their own, such as Google, such as Google, that they can create their own, such as Google, and even more specific, that they can create their own, that they can create their own, that they can create their own, such, such as Google, such.
When the topic is health, Paulo said that especially diagnoses can be more accurate. “Investments in devices and systems have increased the capacity and accuracy of AI-based medical tests, directly contributing to improve health services, especially in those less favored regions. This ranges from medical diagnostics to the interpretation of tests and treatment recommendations”.In another perspective, AI-based tools should predict diseases before they manifest, using data from wearable devices (so-called wearable technologies such as smart watches and other sensors) and integrated medical histories.
Another point raised by the expert concerns a greater integration of advanced personal assistants with everyday life.“IA’s will be integrated into devices such as augmented reality glasses, autonomous cars and smart home appliances, optimizing day-to-day tasks.This is already becoming reality in some contexts, through AI” agents, explained Bermejo.
And, when the subject is education, it will be more personalized and attractive.“Educational platforms should expand their resources and customize learning trajectories based on the cognitive profile and the interests of students. For example, students with greater aptitude in mathematics will have easier in training linked to the exact sciences, while those interested in arts will be able to excel in courses focused on creativity”, according to the expert, the tools will be increasingly accessible.“Small and individuals will have access to powerful AIs through low-cost platforms, driven by open source LLMs (ie, iA open source, open source, such courses will be available, FalconMaMa (following AI), such as Mistral, FalconMaLaL).
Regarding the labor market, Paulo pointed out that AI can automate many administrative, legal and financial functions, requiring greater adaptation of the work forces. “It is not about replacing professionals with AI, but replacing those who do not use AI, for those who make good use of it. If AI is not yet helping you in something in your work, stop and reflect: most likely there is something in which it can make a significant difference. New demands will arise for professionals who know how to integrate, manage and regulate AI. For example, until recently, it was difficult to imagine job announcements for prompt engineers. In 2025, this demand will grow, along with the emergence of new functions.
For Paulo, in 2025, it is not just a matter of speculating what will come, but of preparing for a world where AI will be increasingly present and indispensable. “A true question is not nd whether AI will be integrated, but how to and who to’. And I believe it would be good to ask ourselves if we are ready to take advantage of the transformative potential of this technology”, he stressed.
Responsible AI: Regulation, Ethics and Sustainability
According to the researcher, in 2015, AI regulation will be more present, including in Brazil. “Adequate regulations will provide greater transparency, security and ethical use of technology.In another aspect of the issue, responsible AI initiatives have concentrated efforts to minimize algorithmic discrimination. This involves practices to resolve distortions generated by training data, as well as improving the diversity of” data, he said.
Paulo also reported that regarding sustainability, AI will be used to optimize supply chains, reduce waste and improve energy efficiency, especially with the popularization of AI agents in corporate systems.“In addition, predictive tools will help monitor climate change and plan mitigation actions”, he revealed.
In the entertainment area, according to him, AI will be able to generate scripts, music, visual arts and even complete films. This should be intensified with the emergence of startups that offer services, including free, to create these types of content.“Another point relates to interactive games and simulations, which will be performed in real time based on user choices. Although the metaverse hype has decreased, these technologies continue to evolve, especially in the game industry”, he detailed.
He also pointed out that AI will be essential to manage homes, cities and even infrastructure autonomously. Today, as he said, it is inconceivable to think of smart devices without generative AI, so what is expected is a greater connection between AI and Interconnected Intelligent Devices (IoT).
Advances and concerns
“A General Artificial Intelligence (Artificial General Intelligence & AGI) differs from AI, including generative AI, by not being limited to a specific domain.It is a form of intelligence that can adapt to new situations, solve complex problems and learn continuously. While LLMs like ChatGPT demonstrate impressive skills, they are still limited to specific tasks based on the training received and do not have the ability to understand broad contexts or transfer knowledge between different areas in a genuine way. Sam Altman, CEO of OpenAI, recently reported that the challenges for General AI are of engineering order, that is, it is not enough work, it is not yet necessary to be scientific 5 that it is not yet 2.
According to the researcher, despite numerous gains to be provided to people, companies and society in general, from facilities that this technology can generate, there is much discussion about the dangers involved in this, especially about the ethical aspect, control and security. “How to ensure that AGI remains aligned with human interests? Who will control this technology? If this is not well treated, it can further widen the gap between nations and social classes, and systems that will use may even cause catastrophic impacts if misused.Whether with general AI or even generative AI, I consider that systems without being a final decision are necessarily treated as a final decision, end up to end those being a safe choice.
