The future
Humans and machines working together
In Bairo Gonzalez's vision, the machine does the repetitive and the person does what only people do: decide, care, take responsibility.
On an old farm, the ox pulled the plow and the man chose where to open the furrow. No one thought the ox had stolen anyone's job.
The phrase that sums up the network
When Bairo Leandro Gonzalez Martinez describes BTZ Chain, he uses a phrase that holds for the whole ecosystem: a network where time is the value, where truth is the validator and where humans and machines work together.
Together. Not "humans using machines". Not "machines in place of humans". Together, like two rowers in the same boat, each with an oar.
What each does best
Robotics researchers have known for decades an irony that bears Hans Moravec's name. Things that are hard for us, like calculating or playing chess, are easy for machines. Things that are easy for us, like folding a shirt, recognizing a child's cry or crossing a messy room, are extremely hard for them. It's called Moravec's paradox.
Bairo sees in it a lesson in coexistence. If each is strong where the other is weak, it makes sense to work together. The machine reads ten thousand court decisions in minutes; the lawyer understands the client's fear. The AI follows a patient's history every day; the nurse notices he's quieter than usual. The algorithm suggests the price of tomatoes; the market trader knows that buyer has been a friend for twenty years.
What studies already show
There's evidence that this partnership works when it's well designed. A study by Erik Brynjolfsson, Danielle Li and Lindsey Raymond, published in 2025 in the Quarterly Journal of Economics, followed more than five thousand support agents who began using an AI assistant. Average productivity rose about 15%, and the biggest gains went to the least experienced workers, as if the tool spread the know-how of the best to everyone.
At the same time, the transformation isn't painless. The World Economic Forum's Future of Jobs Report 2025 estimates that by 2030 about 170 million jobs will be created and 92 million displaced. Nearly 40% of core skills are expected to change. Brynjolfsson, in the essay "The Turing Trap", reminds us that the direction depends on choices: building machines to replace people concentrates wealth; building them to expand what people do distributes it.
Bairo chose the second direction and wrote it into the architecture of every venture: AI prepares, the person validates.
Robotics in his vision
He also speaks of integration with robotics. In the future he describes, robots take on the heavy, dangerous and repetitive tasks: carrying, cleaning, keeping watch all night, lifting a bedridden patient without hurting the caregiver's back. It's a vision of coexistence, not replacement: the machine with the strength, the person with the meaning.
He imagines a hospital where the nurse no longer has to push heavy stretchers and can spend more time talking to whoever is afraid. A supply center warehouse where no one wrecks their spine carrying crates at four in the morning anymore.
In the future he describes
In 2030, he imagines mixed teams in which each person works with several AI agents, like a conductor leading a small orchestra.
In 2040, he imagines human work shifting to where only humans can go: care, creation, ethical decision, trust. Whole professions that barely exist today, born from that frontier.
In 2050, he imagines the question "will a machine take my job?" sounding as old as "will the tractor put an end to farming?". Farming didn't end. It changed shape, and those who knew how to change with it kept planting.
It's a vision, and it doesn't ignore the pain of those who will have to start over. Bairo has started over many times. He knows starting over hurts, and he knows it's possible.
A scene
A nursing assistant arrives for her shift at seven in the evening. The clinical assistant has already organized what changed at each bed during the day. A transport robot carries the medications to the ward. She, then, does what no one else can do for her: holds the hand of an old man who will have surgery early tomorrow and listens, for ten minutes, to the story of the farm where he was born.
No one took her job away. They gave her back its most beautiful part.