Artificial intelligence is the global priority topic. With its potential to automate and enhance tasks and data usage, large companies, and even countries, they are now in a real race to become the benchmark in this competition – what makes the topic go far beyond debates about technology and become a geopolitical issue.
In Renato Avelar's view, 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 competition for global hegemony, directly impacting geopolitical relations, how the tensions between the United States and China, in which the first even limits the purchase of chips by the Asian giant, essential for the development of new software, for example, explain.
One of the most recent examples came with the launch of the Chinese artificial intelligence DeepSeek, Open AI competitor, creator of ChatGPT. Released in January, the R1 model shook the American market with a drop of 1 trillion USD in technology startups, according to the Nasdaq 100 index, that brings together the main American technology companies. Just under a week later, the Chinese technology giant Alibaba announced a new version of its model, the Qwen 2.5, what, за нею, is superior to the Chinese competitor as well, demonstrating in a practical way this struggle for global governance through AI.
For the executive, the dispute between big techs and startups for the advancement of AI is likely to intensify in the coming years. Technology has undergone significant transformations between 2023 and 2024, however, the 2025-2027 triennium promises to be a period of more changes for the sector, especially with AI, evaluate him. 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, health, finance, manufacturing, transport and arts. Advanced models will allow greater customization and automation of tasks, as predictive analysis and intelligent decision-making will become increasingly sophisticated – given that the focus of large technology companies is to become leaders in data analysis.
However, according to Avelar, we must understand artificial intelligence, at the moment, like something similar to the discovery of electricity, we have a powerful tool in hand, but it is still under development and we are gradually understanding its capabilities better, explain
He adds that following this reasoning, it's like we are still in the lamp, that is to say, 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's like a new economy emerging and dictating what the future will be"
Therefore, for the specialist, it is necessary to discuss the parallel between transformation and optimization by 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 center of the operation. The transformation completely changes the company's business model, affecting both final products and the company's core business, reflects him.
In that case, it is possible that chatbots, despite being popular, percam relevance, since its 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,the companies that manage to develop assistants with greater understanding and personalization capabilities will have a significant competitive advantage in the coming years, пояснює виконавчий.
In this scenario, the crew members, for example, they promise to be a technology with high practical application for companies. The co-CEO emphasizes that this tool can be used in practically all fields, accelerating medical diagnoses, predicting the probability of winning cases in courts and even designing scenarios for financial operations to increase profit
Large 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, allowing for a more effective interaction. Instead of a single chatbot, a main agent will distribute questions to automated specialists, optimizing responses and making technology more efficient and adaptable to different contexts. This will bring great advances in complex processes, as technical support, market analysis and personalized recommendations on digital platforms
The partner of A&EIGHT also emphasizes that the new operating systems will be built to be operated by humans and artificial intelligence simultaneously, thinking about it, system integration, inclusive using AI instead of traditional APIs, will make all the difference. This technology could be used for much more technical and operational tasks, while human work will be much more focused on curation and quality analysis than on the execution of tasks themselves, score him.
The evolution of LLMs will also impact education, where learning assistants will be able to adapt teaching materials according to the progress and difficulties of the students. In the legal sector, advanced systems will be able to analyze documents and suggest strategies based on historical precedents.
Logo, according to Avelar, the professionals who do not want to be unemployed, they should employ artificial intelligence first. It is likely that we will have professionals relocated or unemployed in this scenario, however this will not happen due to the replacement of human labor by technology but rather due to a lack of adaptability, both in the short and long term. That is to say, the global discussion will focus on how to promote human inclusion in digital processes "AI will not replace professionals, but will offer tools that will increase your efficiency, allowing them to focus efforts on strategic decisions, appoints the co-CEO
Cybersecurity in focus
With the increase in digital threats, inclusive among countries, cybersecurity will become one of the fundamental pillars of AI evolution. Solutions such as biometric authentication, quantum cryptography and AI-based security should gain ground to protect infrastructures and sensitive data globally.
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 cyber attacks. "Today there are already digital criminals who copy websites in a few hours", they sell nonexistent products and advertise on social media with fake and extremely convincing avatars of celebrities. To avoid this type of fraud, the intelligence of e-commerce tokenization will be necessary, detection of fraud and, mainly, severe penalties for cyber crimes, reinforces Avelar
Financial organizations should invest in AI to enhance 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 smart 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 create challenges for technology companies, demanding that startups and large players demonstrate economic sustainability to secure new investments. Despite this scenario, the AI market is expected to continue expanding, offering opportunities for innovations and expansion of existing solutions. Large corporations will need to adapt their business models, focusing on AI as a competitive differentiator, analyze the co-CEO
In the case of the labor market, the advancement of AI may reshape it with the creation of new roles that will require specific qualifications. The most recent case was that of META, that made changes to its staff, investing especially in professionals specialized in artificial intelligence.
In that case, companies will need to invest in professional training to ensure that their employees can make the most of new technological tools. "The job market will not lose jobs due to AI", but rather reconfigured, and the qualification of professionals will be essential for this new reality, concludes Avelar
