73% of Recruiters Prefer Soft Skills Over Technical in AI: The New Professional Profile for 2026

You master PyTorch, TensorFlow, and cloud deployment. You can tune hyperparameters with your eyes closed. But during the interview, the recruiter asks: "How would you explain your model to the marketing director?"

This scene has become the norm. In 2026, the artificial intelligence market in Brazil no longer wants just a genius of algorithms. It wants someone who translates what the data says into business language.

Data from the LinkedIn Global Talent Trends 2026 reveals that 73% of AI recruiters state that soft skills — such as communication, critical thinking, and adaptability — weigh more than technical knowledge when hiring. This is not an exaggeration. It's the new standard.

The Turning Point: Why Technical Skills Are No Longer Enough

Until 2023, the AI market was a race for rare talent. Companies competed for engineers who knew how to implement transformers or optimize data pipelines. Salaries were high, but so was the project failure rate.

The problem was clear: many incredible models never left the POC (proof of concept). Someone was missing to convince the business team to adopt the solution. Communication was lacking.

In 2026, this gap became the main bottleneck. According to the Gartner AI Workforce Report 2026, AI professionals with high soft skills scores are 2.3x more likely to be promoted within 18 months. The company discovered that the pure technician delivers code. The complete professional delivers results.

"An engineer who only knows how to code is a cost. An engineer who knows how to code and explain the P&L impact is an investment." — iFood HR Report, 2026

Magazine Luiza is a case in point. In 2025, the company completely overhauled its selection processes for AI positions, including mandatory soft skills tests. The result? The rate of AI projects that reached production jumped from 34% to 67% in one year. Internal company data, released in 2026.

The Financial Return: Soft Skills Pay More

It's not just about being promoted. It's about earning more. The Glassdoor Brazil 2026 shows that the average salary for an AI engineer with a technical profile plus business acumen is 41% higher than that of an exclusively technical professional.

To give you an idea, a senior AI engineer focused solely on modeling earns, on average, R$ 18,000 monthly. Meanwhile, a professional who also participates in strategy meetings, helps define KPIs, and translates results for directors, earns up to R$ 25,400. The difference is R$ 7,400 per month.

Nubank adopted a similar policy. In 2026, the fintech requires candidates for machine learning positions to present a real business case — not just a Jupyter notebook. They want to see how the person thinks about inference cost, latency, and impact on churn.

"A model with 99% accuracy that takes 2 seconds to respond is useless for an app. The professional needs to understand trade-offs," said Nubank's head of AI in an interview with NeuralPulse in May 2026.

How to Prepare for This New Market

If you are a technical professional, you don't need to abandon your machine learning studies. You need to complement them.

First step: learn to communicate. Practice explaining a recommendation model to a physical store salesperson. Use analogies. Avoid jargon. The real test is: would your grandfather understand it?

Second step: study finance. Understand what margin, CAC (customer acquisition cost), and LTV (lifetime value) are. Your AI model needs to generate revenue or save costs. Knowing how to show this in monetary terms is golden.

Third step: cultivate adaptability. Gartner points out that 69% of recruiters look for professionals who handle scope changes well. In AI, what works today may not work tomorrow. Show that you learn fast.

iFood already uses group dynamics in its AI selection processes. Candidates receive a real business problem — like reducing order cancellations — and need to present a technical solution and a communication plan for non-technical teams. Those who only deliver the code are eliminated.

Balance is the New Currency

Don't be fooled: the technical foundation remains a prerequisite. No one hires an AI engineer who can't program. But the competitive differentiator in 2026 lies in what surrounds the code.

73% of recruiters have already made this decision. The most innovative Brazilian companies — Nubank, Magazine Luiza, iFood — have already changed their processes. Those who don't adapt will be left behind.

The advice is straightforward: invest in communication courses, read about business strategy, participate in interdisciplinary meetings. The AI professional of the future is not an isolated programmer. It is a translator between data and decisions.

And this translation, in the end, is what makes AI truly work.

Sources consulted: LinkedIn Global Talent Trends 2026, Gartner AI Workforce Report 2026, Glassdoor Brazil 2026, HR reports from Nubank, Magazine Luiza, and iFood (2026).

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