Why the question matters
Artificial intelligence can help us write, search, summarize, program, analyze, and automate repetitive tasks. These benefits are real, but technical progress does not automatically become human progress. Economic choices, collective rules, and the distribution of value all shape the outcome.
Why I remain enthusiastic
I work in data and develop Repero AI. Personally, I am very enthusiastic about the tools already available.
They help me explore a codebase, form an initial hypothesis, document a decision, or accelerate a task whose implications I understand. They do not replace experience or responsibility, but they can shorten the distance between an idea and its implementation.
I am also eager to see what these tools make possible next. Their value in software and data is only beginning to emerge. That optimism should not stop us from recognizing the difficulties: tools and models change so quickly that keeping up has become work in itself.
Productivity is not the whole story
Higher productivity can reduce tedious work and improve quality. It can also intensify workloads or remove jobs without giving people more autonomy. The result is not determined by the technology alone; it depends on management, social dialogue, education, and public rules.
People need time to learn, clear policies about data, and a voice in decisions that affect their work. Asking everyone simply to “adapt” is not enough.
Keeping humans in the loop
A useful AI tool should have an understandable purpose, leave the user in control, and make results easy to review. It should preserve useful work and its context rather than forcing people to track every technical change themselves.
We should neither reject AI outright nor accept it without conditions. We should learn to build and use it as a collective choice, with attention to who benefits and who bears the risks.