The integration of artificial intelligence into the daily work of specialists has reached such a level that, according to engineers at major AI companies, it is beginning to threaten a professional's most basic skill — the ability to make decisions independently. This was stated in an interview with Business Insider by Addy Osmani, an engineer on the Claude Code development team at Anthropic. His remarks were reported by RBC-Ukraine. Osmani notes that daily interaction with autonomous AI agents "leaves almost no room for manual problem-solving," and this, in his opinion, is the main danger for the professional community.
Three Levels of "Cognitive Capitulation"
Osmani identifies three successive levels of cognitive shifts when working with new technologies. The first is "cognitive offloading": the specialist hands over routine tasks to algorithms while retaining control over the final result and verifying it. The second level is "deferral": the system-generated responses become inputs for the human without critical analysis; the developer effectively accepts the ready-made result as a given. The third and, according to Osmani, most dangerous level is "cognitive capitulation": complete and blind trust in the results of artificial intelligence, where the user stops checking algorithmic responses and trusts them unconditionally.
"Cognitive Debt" and Gradual Loss of Qualification
It is at the third level, Osmani argues, that what he calls "cognitive debt" forms. This term describes the growing gap between what a specialist is capable of doing independently and what they actually do by relying on AI. Over time, professional qualification declines: a person loses the ability not only to solve a problem but also to explain the logic of the decision made. Osmani emphasizes that if a developer is unable to justify the logic of a solution executed for them by an autonomous agent, they "completely lose intellectual property rights to their project."
Why Complete Rejection of AI Is Not the Solution
At the same time, Osmani explicitly points out that ignoring new AI tools is not a way out of the situation. Instead, he says, professionals need to consciously train their own cognitive abilities, maintaining a balance between using algorithms and independent thinking. At the core of his recommendations lies the principle of conscious control: AI tools should be viewed as auxiliary rather than replacing human intelligence.
The Analogy with GPS and Phone Numbers
Experts referencing Osmani's observations compare the loss of programming and analytical skills to how people stopped memorizing phone numbers after the advent of mobile devices or navigating unfamiliar territory without GPS systems. In both cases, the technology is neither "forbidden" nor "bad" in itself; however, mass delegation of cognitive functions to algorithms leads to the corresponding skills atrophying. "Those who stop training their abilities disappear much faster than it seems," experts summarize, referring to Osmani's conclusions.
The Anthropic engineer's warning comes amid the active deployment of autonomous AI agents into the workflows of major tech companies. The question of the boundaries of permissible delegation of intellectual tasks to algorithms will likely become one of the central discussions regarding the future of professional activity in the coming years.
