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You Are Not What You Are Good At — the Identity Shift AI Forces on Every Professional

Mass layoffs at Itaú and Amazon in 2025-2026 exposed an uncomfortable reality: who we are professionally is being redefined by AI. Those who understand this early will lead the next era.

By Paulo Castello8 min read

You Are Not What You Are Good At — the Identity Shift AI Forces on Every Professional

The mass layoffs at Itaú (2025-2026), Amazon, and several Brazilian tech companies exposed a topic Brazilian board members still avoid: who we are professionally is being redefined by AI. Ignoring it costs careers.

"Embrace quickly the idea that you are not what you are good at. It is difficult! Being good at something professionally is part of our identity. (...) But humanity's genius has made us take another leap forward. And now we need to reinvent ourselves."

— Paulo Castello, January 2026

What Happened at Itaú (and at Amazon, and Elsewhere)

In January 2026, Itaú announced a round of mass layoffs associated — among other factors — with AI-enabled operational reorganization. It was not the first and will not be the last. In parallel, Amazon globally made a similar move, Google likewise, and Microsoft announced a refocus with cuts in legacy areas and massive investment in AI divisions.

What this shows: AI-driven layoffs have moved from exception to consolidated trend at large companies.

And the standard response from Brazilian professionals was predictable: moral outrage, fear, paralysis. Some social media platforms exploded with "let us boycott companies that lay off for AI." Paulo Castello went on a CBN interview about the topic and made the observation that stood apart from the emotional moment:

"A layoff is not the end of the world. It is part of market dynamics. Often a layoff is the event that makes you reflect on whether you are doing what you love, whether you identify with the company, whether you need to think about how to become more employable — and often whether it is the moment to open your own business. That is how I started my business (after being let go)."

The Identity Shift That AI Forces

The phrase that most unsettles in Paulo's original post is:

"You are not what you are good at."

Why is it unsettling? Because it is the definition that most professionals use to define themselves:

  • "I am an accountant" (because I analyze financial statements all day)
  • "I am a designer" (because I know how to do illustration)
  • "I am a software engineer" (because I know how to program)
  • "I am a financial analyst" (because I know how to build spreadsheet models)
  • "I am a lawyer" (because I know how to draft contracts)

AI, in 2026, performs all of those tasks. It will not replace the entire professional — but it will replace the part that was "what you were good at."

A professional who identifies with the task loses identity. A professional who identifies with judgment, directing AI, navigating ambiguity, human relationships, and conceptual creativity maintains or increases their value.

The shift is:

From "I am what I know how to do" to "I am what I know how to direct and what I know how to resolve."

What to Say to the Young Person Starting Their Career

Paulo has written about the difficulty of advising a nephew who works in financial services:

"I had difficulty advising a nephew who works in financial services. If he were at Fhinck, in a year his role would no longer exist. We are going through a clear transition in which what matters is not to execute tasks, but to direct with intelligence."

And he concluded:

"My guidance has been: dive headfirst into learning Artificial Intelligence. For at least the next 10 years, our role as humans will be to direct AI."

Practical translation for a young professional in 2026:

  • Do not build a career around executing tasks (analyzing statements, building spreadsheets, processing orders). Those will be fully absorbed by AI within 5-10 years.
  • Build a career around directing AI (defining the problem, scoping the agent, judging the output, adjusting the flow).
  • Build a career in layers that AI still does not perform well (deep relationship management, long-term judgment, conceptual creativity, human leadership of hybrid human + agent teams).

A traditional career built on "being good at X" has lost its future. A career built on "knowing how to direct AI in X" has gained it.

What to Say to the C-Level Who Will Need to Lead This Transition

Brazilian CEOs and directors will need to have these conversations — with their teams, their families, and their boards. Some pragmatic guidelines:

1. Direct Communication, Not Euphemism

Do not dress up an AI-driven layoff as a "corporate restructuring" without naming the cause. Professionals are not naive — they see through it. Euphemism destroys trust.

Fhinck, in the transition from 50 to 6, communicated the reason directly. It hurt more in the moment, but it preserved the relationship. Former Fhinckers still speak positively about the experience.

2. Real Support for Reinvention

Severance + outplacement + 3 months of access to technical AI training. This is not charity — it is responsibility. Laying someone off without offering a path creates reputational liability that becomes a future hiring problem.

3. Internal Path for Those Who Want to Reinvent Themselves

Rather than laying off 100% immediately, offer a requalification path for part of the team. Those who agree to study AI weekly and migrate from an executing role to an orchestrating role can stay. Those who prefer to leave, leave with dignity.

Fhinck did this. Result: of the original 50, some became agent orchestrators (part of the 6 who stayed). Others left well, with clarity.

4. Do Not Outsource the Difficult Conversation

The CEO needs to be personally present in the hardest conversations. Delegating to HR is operational cowardice — and the team feels it.

The Reflection Left for the Everyday Professional

If you are a Brazilian professional reading this, three questions:

  1. How much of my weekly routine could be handled by a well-configured AI agent? If the answer is >50%, you are in a risk zone in 24-36 months.

  2. How much of my weekly routine involves directing AI, deciding under ambiguity, or managing human relationships? If the answer is <20%, you need to pivot.

  3. Do I have a weekly AI learning routine? If the answer is "occasionally," you are on a path toward trouble. Without a rhythm, being 6 months behind arrives on schedule (see Sharpening the Axe).

Conclusion

The phrase "you are not what you are good at" is uncomfortable because it challenges an identity built over decades. But it is accurate.

Those who absorb the shift and reinvent themselves become protagonists of the AI First era. Those who resist become a statistic in a layoff report.

Fhinck went through this transition firsthand — from 50 to 6 people in 24 months. It helps Brazilian C-levels and board members navigate it with method and humanity. Schedule a conversation.


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future of workItaúlayoffsAI careerprofessional reinventionknowledge worker

Paulo Castello

CEO & Founder, Fhinck

Led the transition of Fhinck from a traditional Task Mining company to AI First — from 50 to 6 people with double the revenue.

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