The floor has risen. The competition has intensified.
Em 2023, uma ferramenta de inteligência artificial chamada ChatGPT tornou-se símbolo de uma transformação já em curso: a automação não é mais uma possibilidade distante, mas uma força que remodela silenciosamente as relações de trabalho em todo o mundo. O Fórum Econômico Mundial estima que 85 milhões de empregos serão afetados até 2025, e a pergunta que se impõe não é se as profissões mudarão, mas se as sociedades terão sabedoria e agilidade suficientes para acompanhar essa mudança com justiça.
- A IA já executa tarefas antes exclusivas de profissionais qualificados — redigir petições jurídicas, traduzir textos científicos, escrever artigos — tornando obsoletas habilidades que levaram anos para ser desenvolvidas.
- A democratização dessas ferramentas intensifica a concorrência em todas as profissões: quando qualquer pessoa com acesso à internet pode fazer o básico, o básico deixa de ter valor de mercado.
- Nas salas de aula, uma nova forma de desonestidade emerge — trabalhos gerados por IA que não deixam rastros de plágio convencional, desafiando educadores e instituições a repensarem avaliação e autoria.
- Milhões de trabalhadores sem recursos para se requalificar enfrentam deslocamento sem rede de proteção adequada, enquanto governos ainda não construíram os marcos regulatórios e programas de retreinamento necessários.
- A tecnologia não aguardará o consenso social: a urgência está em construir infraestrutura de adaptação antes que o deslocamento se torne irreversível.
No início de 2023, o ChatGPT havia se tornado tema obrigatório em universidades, mesas de jantar e redes sociais. Quando questionado em português sobre o primeiro mês do terceiro mandato de Lula, o sistema respondeu com uma limitação honesta: seus dados encerravam em 2021. A resposta revelou as fronteiras atuais da ferramenta — mas também sinalizou que essas fronteiras são provisórias.
A automação não é mais uma escolha: é uma direção que a história já tomou. O Fórum Econômico Mundial estima que 85 milhões de empregos serão afetados por ferramentas de automação até 2025. O ChatGPT já redige petições, traduz artigos científicos e escreve notícias com fluência suficiente para passar por trabalho humano. Isso significa que advogados, tradutores e jornalistas não competirão mais pela capacidade de executar essas tarefas básicas — terão de competir por algo que a máquina ainda não alcança: julgamento, especialização profunda, contexto.
O problema prático é urgente. Professores enfrentam uma nova modalidade de desonestidade acadêmica — textos gerados por IA que não configuram plágio no sentido tradicional. Ferramentas de detecção estão sendo desenvolvidas, mas detectar é apenas parte da resposta. A questão maior é o que acontece com trabalhadores cujas habilidades se tornam commodities acessíveis gratuitamente a qualquer pessoa com um computador.
Governos e sociedades precisam agir antes que o deslocamento se torne agudo. Programas de requalificação profissional são uma responsabilidade coletiva, não apenas estatal. A regulação — sobre o uso da IA, seus limites, seus beneficiários e a verificação de seus resultados — não é uma questão técnica, mas política e moral. A tecnologia não esperará. A única pergunta real é se a sociedade estará preparada quando ela chegar.
A few months into 2023, an artificial intelligence chatbot called ChatGPT had become the subject of conversation everywhere—in university lecture halls, at dinner tables, across social media. When asked in Portuguese about the first month of Luiz Inácio Lula da Silva's third presidential term, the system offered a polite deflection: its training data ended in 2021, it explained, and besides, Lula had left office in 2010. The response revealed the tool's current limitations. Yet those limitations were temporary. Soon enough, this technology would sharpen. Soon enough, it would pose a genuine challenge to how work gets done.
Automation is not a choice anymore—it is a direction history has already chosen. Technology has always existed to compress time, to make processes faster, to eliminate friction. But every technological leap carries social consequences that ripple outward in ways no one fully anticipates. We are living through a technological revolution right now, in real time, and the honest answer to what the labor market will look like in twenty years is that no one knows. Economists can only project. The World Economic Forum released a study estimating that eighty-five million jobs worldwide would be affected by automation tools by 2025. That number sits there, concrete and unsettling.
The question is not whether tools like ChatGPT will reshape how people work. They will. The applications are straightforward and available to anyone with internet access. The real question is how. What the technology does is simplify tasks—but in simplifying them, it raises the bar for everyone who performs them. ChatGPT can already draft a legal petition. It can translate scientific papers with reasonable accuracy. It can write a travel itinerary, compose a news article, generate content that reads like original work rather than plagiarism. These are not theoretical capabilities. They exist now. Which means that lawyers, translators, travel agents, and journalists will no longer compete on the ability to do these basic things. They will have to compete on something else entirely—deeper expertise, judgment, specialization that a machine cannot replicate. The floor has risen. The competition has intensified.
This creates urgent practical problems that society has not yet solved. Teachers will face a new kind of cheating—students submitting work generated by AI that bears no trace of plagiarism because it is not plagiarism in the traditional sense. Some applications are being built to detect this, to prevent misuse. But detection is only part of the answer. The larger question is what happens to people whose skills become commodified, whose labor becomes something any person with a computer can access for free. What happens to the unskilled, the unspecialized, the people without the resources or opportunity to retrain themselves?
Governments and societies need to act now, not later. Professional retraining is not just a government responsibility—it is a collective one. If the labor market is going to transform, then the infrastructure to help people transform with it must be built before the displacement becomes acute. Regulation matters too. How AI is used, what it is allowed to do, who profits from it, how its outputs are verified—these are not technical questions. They are political and moral ones. The technology will not wait for society to catch up. The only question is whether society will be ready when it arrives.
Citas Notables
The technology will not wait for society to catch up. The only question is whether society will be ready when it arrives.— Analysis in Correio Braziliense
La Conversación del Hearth Otra perspectiva de la historia
When you say the technology will sharpen, what does that actually mean for someone working in, say, law or journalism right now?
It means the basic work—the drafting, the research, the first draft—becomes something the machine can do. So the lawyer or journalist has to become something more specialized. They have to be the person who knows what questions to ask, who understands context the machine misses, who can judge whether the output is actually correct.
But that requires retraining, doesn't it? Not everyone can just pivot to being a specialist.
Exactly. And that is where the system breaks down. You cannot tell someone who has spent twenty years as a translator that they now need to become a specialist translator or find a different career. The infrastructure to help people do that does not exist yet.
The WEF number—eighty-five million jobs by 2025—that seems almost abstract. Does it feel real to you?
It feels real when you think about what it means concretely. It is not eighty-five million people losing jobs overnight. It is eighty-five million positions that will change, that will require different skills, that will pay differently. Some people will adapt. Many will not have the chance.
So what does readiness actually look like?
It looks like governments and companies and schools all moving at the same time to help people learn new things before they need to. It looks like regulation that prevents the worst abuses. It looks like honesty about what is coming, instead of pretending it is not.