Artificial intelligence at work: how doctors, lawyers, and psychologists are using it

While many celebrate its contributions, others see Artificial Intelligence (AI) as a threat that is spreading unchecked. It didn't come to take away jobs , they argue, but is merely an assistant to the predictable . But in sectors such as medicine, law, and mental health, it is beginning to reconfigure roles and assume responsibilities .

A McKinsey survey suggests that by 2030, 30% of current jobs could be automated and 60% could be reshaped through the rise of AI. While Goldman Sachs estimates that 300 million jobs will be lost due to AI.

Beyond the numerical cruelty, we must understand that AI is not a bogeyman to be avoided. Today, less than 5% of jobs consist of tasks that technology can perform without human intervention.

And while we must also recognize that some roles may be affected, we must understand that new positions will emerge that don't even exist today. Rather than replacing them, AI redefines and opens doors for those willing to cross that threshold.

The Skills of the Future report, prepared by Banco Santander in conjunction with Ipsos, maintains that 6 out of 10 Argentines believe that future generations will hold positions we can't even imagine today.

For this reason, AI appears to be the main factor transforming employment. Locally, 58% believe that mastering it will be essential to access or maintain their position. Globally, 1 in 3 people fear that this technology could replace their current job.

Monotonous legal tasks, such as contract drafting and background checks, are being transformed by Harvey. This platform, powered by OpenAI's GPT DNA , trains itself on demand for each law firm and operates as an integral member of the team, absorbing knowledge and applying it accurately and efficiently.

Furthermore, it assesses legal risks by analyzing previous rulings and identifying patterns in cases with similar characteristics. Unlike other models trained on general knowledge, Harvey—developed by Winston Weinberg and Gabriel Pererya—does so based on a large-scale linguistic model, fed with case law and specialized legal data .

Although the most advanced in this field is Capita, founded by Ben Su, considered the first AI lawyer. Trained with millions of legal documents, it is capable of drafting lawsuits, analyzing cases, and providing basic legal advice in seconds. There is also CoCounsel, developed by Casetext (now part of Thomson Reuters), which speeds up reading, interpreting, and summarizing documents with 90% accuracy, according to a Stanford study published in 2025.

However, it's not all about substitution: strategic interpretation, courtroom argumentation, and ethical counseling remain fertile ground for the human mind. Legal logic requires not only technical precision, but also contextual sensitivity, social intuition, and persuasive skills—skills that, for now, elude the algorithm. AI doesn't replace lawyers, but it does force us to rethink which tasks warrant their intervention and which could be delegated without losing the soul of the profession.

Microsoft has developed an AI agent capable of diagnosing diseases with four times the accuracy of any specialist. This capability is based on the use of language models that analyze medical histories, symptoms, and other data to generate more accurate diagnoses.

It was trained on millions of medical records and validated with real-life clinical trials, allowing it to identify complex patterns that often elude the human eye. This AI isn't intended to displace doctors, but rather acts as an assistant that improves the quality of decisions in situations of high demand or staff shortages.

These assessments are provided by the MAI Diagnostic Orchestrator (MAI-DxO), which uses several models such as ChatGPT, Gemini, Claude, Llama, and Grok in a way that mimics multiple experts working together. "This orchestration mechanism, where they work together in this threaded discussion style, is what will bring us closer to medical superintelligence," says Mustafa Suleyman, CEO of Microsoft AI.

In its trials, MAI-DxO achieved 80% accuracy compared to 20% for physicians. It also reduced costs by 30% by selecting more affordable tests and procedures.

AI is transforming mental health care, not only in initial support, but also in the selection, diagnosis, and definition of intervention protocols, helping to expand access and relieve pressure on traditional health systems.

Therabot is a therapeutic chatbot developed by the Geisel School of Medicine at Dartmouth that has demonstrated superior results to human intervention in certain contexts. It is designed to assist people with symptoms of depression, anxiety, or emerging eating disorders.

The prototype offers a continuous, accessible, and evidence-based psychological support modality. It was tested on 210 participants and the results were astonishing: it achieved a 51% reduction in depressive symptoms, a 31% reduction in anxiety, and a 19% reduction in body image concerns.

Abby is another AI therapist who provides 24/7 support and guidance to help patients cope with everyday challenges. She offers a safe and empathetic space to discuss common issues and explore thoughts.

In addition to offering emotional support, one of the key functions of this type of tool is to act as a first point of contact, with the ability to refer the user to human specialists, depending on the complexity of the case.

In many cases, these chatbots are trained in approaches such as cognitive behavioral therapy (CBT), guiding the user in identifying and restructuring negative thoughts.

In the field of recruitment, AI is no longer limited to screening resumes or automating interviews. It's beginning to make key decisions in talent selection, displacing tasks that previously relied solely on human judgment.

A Jobscan study indicates that 99% of Fortune 500 companies use AI to screen applicants, although its influence extends beyond the initial application stage. A Resume Builder survey revealed that by 2024, more than 40% will use it to interview and "talk" to candidates.

OptimHire stands out in this field, whose AI agent, OptimAI Recruiter, can find suitable candidates, make screening calls, and schedule interviews for hiring managers, reducing the time and cost of filling vacant positions.

In January, startup ConverzAI raised $16 million in a Series A round to develop AI-powered virtual headhunters. A month later, Mercor—a larger company that uses AI to analyze resumes and match talent with job opportunities—raised $100 million in a Series B round.