The launch of ChatGPT in 2022 was the kickoff for a series of changes that followed in the wake of Generative AI (GenAI), bringing about diverse technological innovations worldwide. Naturally, there is much speculation about what is yet to come in the coming years on the topic, but in 2025, what can we expect in terms of AI trends?
According to expert Paulo Henrique de Souza Bermejo, who holds a post-doctorate in Innovation from Bentley University in Massachusetts/USA and Executive Certification in Strategy and Innovation from MIT, some aspects of this are already being discussed, both in the market and in research fields.
He highlighted that in relation to 2025, we can expect, for example, more capable and personalized Generative AI. According to him, the major creators of large-scale language models (so-called LLMs), which are a kind of core for generative AI, continue to evolve. ‘Investments are being made to make these models more robust and specialized, capable of generating even more precise and creative content, as well as operating in highly specific contexts. Additionally, new features are being added to allow users, including non-programmers, to create their own AI agents, training them with their personal data. This type of functionality, initiated with ChatGPT, should expand to other platforms and LLMs, including those developed by Anthropic, Meta, and Google,’ he noted.
When the topic is health, Paulo stated that especially diagnoses could become more accurate. ‘Investments in devices and systems have expanded the capacity and accuracy of medical exams based on AI, directly contributing to improved healthcare services, especially in less privileged regions. This ranges from medical diagnoses to test interpretation and treatment recommendations,’ he pointed out. From another perspective, AI-based tools should predict diseases before they manifest, using data from wearables (so-called wearable technologies, such as smartwatches and other sensors) and integrated medical histories.
Another point raised by the expert concerns greater integration of advanced personal assistants into daily life. ‘AIs will be integrated into devices like augmented reality glasses, autonomous cars, and smart appliances, optimizing daily tasks. This is already becoming a reality in some contexts through AI agents,’ explained Bermejo.
And when it comes to education, it will become more personalized and engaging. ‘Educational platforms should expand their resources and personalize learning paths based on students’ cognitive profiles and interests. For example, students with a greater aptitude for mathematics will find it easier to engage in exact science-related training, while those interested in arts can excel in creativity-focused courses,’ he emphasized. In general, according to the expert, the tools will become increasingly accessible. ‘Smaller companies and individuals will have access to powerful AIs through low-cost platforms, driven by open-source LLMs, such as LLaMA (Meta AI), Falcon (TII), and Mistral (Mistral AI). Alongside this, online courses and platforms will expand AI education, democratizing essential skills for the future,’ he listed.
Regarding the job market, Paulo pointed out that AI could automate many administrative, legal, and financial functions, requiring greater adaptation from the workforce. ‘It’s not about replacing professionals with AI, but replacing those who don’t use AI with those who use it well. If AI is not yet helping you in some aspect of your work, stop and reflect: there is likely something where it can make a significant difference. New demands will emerge for professionals who know how to integrate, manage, and regulate AI. For example, until recently, it was hard to imagine job postings for prompt engineers. By 2025, this demand should grow, along with the emergence of new roles,’ he endorsed.
For Paulo, in 2025, it’s not just about speculating what’s coming but preparing for a world where AI will be increasingly present and indispensable. ‘The real question isn’t ‘if’ AI will be integrated, but ‘how’ and ‘by whom.’ And I believe it would be good to ask ourselves if we are ready to harness 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 prevalent, including in Brazil. ‘Proper regulations will provide greater transparency, security, and ethical use of the technology. On another front, responsible AI initiatives have focused on minimizing algorithmic discrimination. This involves practices to address biases generated by training data, as well as improving data diversity,’ he said.
Paulo also noted that concerning 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. ‘Additionally, predictive tools will help monitor climate change and plan mitigation actions,’ he revealed.
In the entertainment sector, according to him, AI could generate scripts, music, visual arts, and even full films. This will likely intensify with the emergence of startups offering services, including free ones, to create such content. ‘Another point relates to games and interactive simulations, which will be performed in real-time based on users’ choices. Although the metaverse hype has waned, these technologies continue to evolve, especially in the gaming industry,’ he detailed.
Paulo also emphasized that AI will be essential for managing homes, cities, and even infrastructure autonomously. Today, as he mentioned, it’s inconceivable to think of smart devices without generative AI, so what is expected is greater connectivity between AI and Interconnected Smart Devices (IoT).
Advances and Concerns
‘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 abilities, they are still limited to specific tasks based on their training and lack the capability to genuinely understand broader contexts or transfer knowledge between different areas. Sam Altman, CEO of OpenAI, recently stated that the challenges for AGI are engineering-related—requiring significant work rather than new scientific breakthroughs. He added that his company is at stage 2 of 5 and even suggested this could be achieved as early as 2025,’ explained Paulo.
According to the researcher, despite the numerous benefits this technology can provide to individuals, businesses, and society at large through its conveniences, there is much debate about the dangers involved, especially regarding ethical, control, and security aspects. ‘How can we ensure AGI remains aligned with human interests? Who will control this technology? If this is not handled well, it could further widen the gap between nations and social classes, and systems using it could even cause catastrophic impacts if misused. Whether with AGI or even generative AI, I believe semi-autonomous systems—where the final decision necessarily involves a human—remain the safest option until these dilemmas are definitively resolved,’ he concluded.
