Artificial intelligence is a global priority topic. With its potential to automate and enhance tasks and data usage, large companies and even countries are now in a true race to become the reference in this competition – which makes the topic go far beyond debates about technology and become a matter of geopolitics.
In the view of Renato Avelar, partner and co-CEO ofA&EIGHT, high-performance end-to-end digital solutions ecosystem, a technology as powerful as artificial intelligence should be seen as something analogous to the military industry. "AI has become a strategic factor in the struggle for global hegemony, directly impacting geopolitical relations, such as the tensions between the United States and China, in which the former even restricts the purchase of chips by the Asian giant, essential for the development of new software, for example," he explains.
One of the most recent examples came with the launch of the Chinese artificial intelligence DeepSeek, a competitor of OpenAI, creator of ChatGPT. Launched in January, the R1 model shook the American market with a $1 trillion drop in technology startups, according to the Nasdaq 100 index, which includes the leading American technology companies. Less than a week later, the Chinese tech giant Alibaba announced a new version of its model, Qwen 2.5, which, according to them, is superior to the also Chinese competitor, practically demonstrating this battle for global governance through AI.
For the executive, the competition between big tech companies and startups for the advancement of AI is expected to intensify in the coming years. "Technology has already undergone major transformations between 2023 and 2024, but the 2025-2027 triad promises to be a period of more changes for the sector, especially with AI," he assesses. Check below the main topics that the sector should pay attention to in the coming years.
AI beyond chatbots
AI will continue to evolve beyond chatbot applications, expanding into sectors such as retail, healthcare, finance, manufacturing, transportation, and arts. Advanced models will enable greater customization and automation of tasks, while predictive analysis and intelligent decision-making will become increasingly sophisticated – as the focus of major technology companies is to become leaders in data analysis.
However, according to Avelar, we should understand artificial intelligence, at the moment, as something similar to the discovery of electricity, “we have a powerful tool in our hands, but it is still under development and we are gradually understanding its capabilities better”, he explains.
He adds that following this reasoning, it is as if we were still in the light bulb, “that is, today there are already innovations in various fields that use this technology, however, both companies and governments need to have better mastery of the tool so that they can create more with it, it is like a new economy emerging and dictating what the future will be like”.
Therefore, for the specialist, it is necessary to discuss the parallel between transformation and optimization through artificial intelligence. "When we talk about optimization, we are focusing on increasing operational efficiency, reducing costs, and maximizing revenue through scale, but without affecting the core of the operation. Transformation, on the other hand, completely changes the company's business model, impacting everything from final products to the company's core business itself," he reflects.
Therefore, it is possible that chatbots, despite being popular, may lose relevance, as their practical impact on daily life has proven to be limited. "With the increasing complexity of interactions between humans and technology, new models of intelligent assistants capable of providing more contextual and personalized responses will gain ground," highlights Avelar. For him, companies that manage to develop assistants with greater understanding and personalization capabilities will have a significant competitive advantage in the coming years, explains the executive.
In this scenario, onboard companions, for example, promise to be a technology with high practical application for companies. The co-CEO emphasizes that this tool can be used in virtually all fields, accelerating medical diagnoses, predicting the likelihood of winning cases in courts, and even designing financial operation scenarios to increase profit.
Large Scale Language Models (LLM)
The trend is that predictive flows will advance significantly, leaving behind the dependence on a single generic agent. In the future, AI models will feature architectures based on specialized agents, enabling more effective interaction. Instead of a single chatbot, a main agent will distribute questions to automated specialists, optimizing responses and making the technology more efficient and adaptable to different contexts. This will bring significant advances in complex processes, such as technical support, market analysis, and personalized recommendations on digital platforms.
A&EIGHT's partner also emphasizes that the new operating systems will be built to be operated by humans and artificial intelligence concurrently, "thinking about this, system integration, including using AI instead of traditional APIs, will make all the difference. This technology can be used for much more technical and operational tasks, while human work will be more focused on curation and quality analysis rather than executing tasks itself," he points out.
The evolution of LLMs will also impact education, where learning assistants will be able to adapt teaching materials according to students' progress and difficulties. In the legal sector, advanced systems will be able to analyze documents and suggest strategies based on historical precedents.
Logo, according to Avelar, professionals who do not want to be unemployed should prioritize employing artificial intelligence first. It is likely that we will have reallocated or unemployed professionals in this scenario, but this will not occur due to the replacement of human labor by technology, but rather due to a lack of adaptability, both in the short and long term. In other words, the global discussion will focus on how to promote human inclusion in digital processes. "AI will not replace professionals, but will provide tools that increase their efficiency, allowing them to focus efforts on strategic decisions," points out the co-CEO.
Cybersecurity in focus
With the increase in digital threats, including between countries, cybersecurity will become one of the fundamental pillars of AI's evolution. Solutions such as biometric authentication, quantum cryptography, and AI-based security are expected to gain ground to protect infrastructures and sensitive data worldwide.
Sectors such as e-commerce will need to strengthen their security strategies to face increasing risks, adopting predictive fraud detection models and automated systems for responding to cyberattacks. "Today, there are already digital criminals who copy websites in a few hours, upload non-existent products, and promote them on social media with fake and highly convincing celebrity avatars. To prevent this type of fraud, tokenization intelligence for e-commerce, fraud detection, and, most importantly, severe penalties for virtual crimes will be necessary," reinforces Avelar.
Financial organizations should invest in AI to improve protection protocols, reducing exposure to data leaks and phishing attacks. “Cybersecurity will be one of the critical pillars in the evolution of AI. With the increase in digital threats, technology will play a fundamental role in creating intelligent barriers against cyberattacks, both in the private sector and in the context of disputes between global powers,” highlights the professional.
Macroeconomic Scenario and Investments
The global economic environment will also play a crucial role in the development of AI. The increase in the cost of financial capital is expected to pose challenges for technology companies, requiring startups and major players to demonstrate economic sustainability to secure new investments. Despite this scenario, the AI market is expected to continue expanding, offering opportunities for innovations and the expansion of existing solutions. "Large corporations will need to adapt their business models, focusing on AI as a competitive differentiator," analyzes the co-CEO.
In the case of the labor market, the advancement of AI could reshape it with the creation of new roles that will require specific qualifications. The most recent case was META, which made changes to its workforce, especially investing in professionals specialized in artificial intelligence.
Therefore, companies will need to invest in professional training to ensure that their employees can make the most of the new technological tools. "The job market will not lose jobs due to AI, but rather be reconfigured, and the qualification of professionals will be essential for this new reality," concludes Avelar.
