Keynote
The talk
The future will be human, but not as we know it, nor anchored in the past
Two-paragraph description
The future will not be the past, nor a reflection of the present. Every generation has lived through changes the previous one thought unthinkable: women’s suffrage, the end of legal discrimination, the printing press, the spreadsheet. What we call normal today was, only a few decades ago, the bet of those who challenged the status quo. Artificial intelligence is the change of our time, and the question is not how to stop it or make it resemble what we already know, but what role we want to play in what comes next.
A talk made of real experience. Carlos Miranda Levy shows the state of work in progress: innovation labs in learning, law, finance, journalism and media, and projects he could not have dreamed of five years ago — a media production agency, a music label, a risk management agency, a learning platform and a legal practice, powered by hundreds of AI agents — all of them born as weekend projects. His thesis is simple: it is not about doing the same things faster, but about doing what could not be done before. Practical applications and real examples will be shown live during the talk.
Full description
The future will not be the past, nor a reflection of the present. Every generation has lived through changes the previous one thought unthinkable. In the fifteenth century, within a few decades, Constantinople fell, the printing press spread across Europe and new sea routes changed the trade of the world. In the twentieth century, women’s suffrage, the end of legal discrimination and, closer to us, the spreadsheet transformed entire societies and professions. What we call normal today was the bet of those who challenged the status quo. Artificial intelligence is the change of our time, and judging it by the expectations of the past is the surest way to be left out of what comes next.
A talk made of real experience. Carlos Miranda Levy shows the state of work in progress: innovation labs in learning, law, finance, journalism and media, and projects he could not have dreamed of five years ago — a media production agency, a music label, a risk management agency, a learning platform and a legal practice, powered by hundreds of AI agents — all of them born as weekend projects. His thesis is simple: it is not about doing the same things faster, but about doing what could not be done before. Practical applications and real examples will be shown live during the talk. The talk also takes on the questions that worry people most: whether education is suffering because of AI, which basic skills are still needed and which are not, and why learning requires friction even when technology removes it from everything else.
The future will remain human, but not as we know it, nor anchored in the past. We cannot stop or predict the future, but we can define our place in it. Using AI to do the same things as always, only faster, is the surest way for AI to end up doing them instead of us. The proposal is different: not to bury the talent out of fear, nor to keep it in a few hands, but to do what could not be done before, reinvent ourselves along the way, and steer change toward shared prosperity.