Discover 22 professions that will emerge with advances in AI.

With the rapid advancement of artificial intelligenceThe labor market is beginning to reorganize itself around new technical, strategic, and regulatory demands. The debate about these transformations gained international momentum after... The New York Times To highlight the emergence of potential new careers linked to AI, a starting point that has inspired broader analyses from experts, consultancies, and universities around the world. Based on this discussion, we have compiled projections and trends to present an overview of the roles that may gain prominence in the coming years. See below:

How will advances in artificial intelligence create new jobs?

The advancement of artificial intelligence should create new jobs because its implementation in companies requires... structure, supervision e adaptation Continuous. AI systems do not operate in isolation: they depend on reliable data, well-defined parameters, validation, and alignment with strategic goals. This generates demand for professionals responsible for... algorithm auditingBy automated process verification and by quality control of intelligent systemsAs organizations incorporate AI into areas such as legal, finance, marketing, and healthcare, roles focused on... technical verificationin regulatory compliance and institutional responsibility about technology-supported decisions.

Another vector is in Integration between AI and business processesThe adoption of generative or predictive tools requires diagnosis, customization, and monitoring. Organizations need to define which areas to automate, which to keep under human supervision, and how to measure the performance of the solutions. This movement opens up opportunities for roles such as... AI integrators, Model trainers with internal data, algorithmic performance evaluators e experts in autonomous systems management.

There is also a third axis related to strategy and creative decision makingWith the popularization of tools capable of generating texts, images, analyses, and prototypes, the competitive advantage shifts from simply producing to defining... critérios, to guide choices e ensure consistencyIn this context, functions focused on... are gaining strength. curation of AI-generated contentin AI-assisted product management, automated experience design and managing the so-called institutional personality of intelligent systemsIn a scenario of abundant automated production, the demand is growing for professionals capable of establishing standards, ensuring consistency, and aligning technology with organizational identity.

Will artificial intelligence eliminate jobs?

On the other hand, the perception that artificial intelligence will eliminate jobs is spreading because automation is already producing concrete effects. Today, AI tools They perform tasks such as automated service, drafting basic documents, preliminary data analysis, resume screening e initial accounting processing with greater speed and lower operating costs. This impact is especially visible in administrative and operational functions based on standardized routines e predictable processes, which reinforces the narrative of direct replacement of human labor.

The economic logic of automation reinforces this thesis by showing that companies tend to adopt technologies that increase productivity and reduce costs. When AI can perform repetitive tasks with efficiency similar to or greater than humans, certain jobs are reduced. However, the same process generates demand for new skills, such as those mentioned earlier. The debate, therefore, is not limited to the extinction of jobs, but to the structural transformation of the market, with a shift from operational tasks to activities that require... Judgment, responsibility, and strategic integration.

New professions

Here are some of them. positions and functions that The New York Times It projects as a trend in light of the advancement of artificial intelligence:

AI Auditors

Os AI auditors They will work on the technical and strategic analysis of algorithmic systems, verifying how the models were trained, what data they use, the risks involved, and whether their decisions are explainable. This role is expected to gain relevance as companies and governments need to demonstrate the security and transparency of their automated systems in the face of new regulations. Similar activities already exist in IT auditing and digital compliance, but the specificities of AI—such as biases, hallucinations, and model opacity—require additional specialization. In Brazil, courses in... Data Science, Computer Engineering e Information systemsin addition to MBAs in IT Governance Data Analytics already provides the foundation for this transition.

AI Translator

O AI translator This professional will be responsible for bridging the gap between technical teams and executive leadership, explaining in accessible language how a given system works, what its limitations are, and which decisions can or cannot be automated. This role is expected to emerge because the adoption of AI depends not only on technology but also on a strategic understanding of its impact on the business. Similar roles already exist, such as business analysts, product manager and digital transformation consultants, but the complexity of generative and predictive models requires an additional layer of technical interpretation.

Fact-checkers

Os fact-checkers They will be responsible for reviewing content, reports, and analyses produced by automated systems, identifying factual errors, inconsistencies, and potential biases. This role is likely to gain prominence because generative models produce compelling, but not always accurate, texts, which can lead to reputational and legal risks. Although the fact-checking While AI already exists in journalism and regulated fields, the volume of automated production will require specialized teams to review AI outputs in sectors such as legal, financial, and corporate. Degrees in Journalism, Law e International relations, combined with specializations in data verification and digital information analysisThey already provide a relevant basis for this function.

Compliance Officers in AI

Os those responsible for compliance in AI. They will work to ensure that automated systems are aligned with legal norms, ethical standards, and internal policies. With the expansion of legislation on data protection and the use of algorithms—such as the LGPD in Brazil—the need for professionals capable of assessing regulatory risks and implementing algorithmic governance policies is growing. This role is an evolution of the areas of compliance and corporate governance, but with a specific focus on automated decisions and the use of sensitive data. Specializations in Data Protection and Digital Law offered by institutions such FGV Law e IBMECThey are already training professionals for this type of work.

Trusted authenticator

O Trusted authenticator This professional should validate, approve, and assume formal responsibility for decisions or documents produced with the support of AI. In sectors such as legal, financial, engineering, and healthcare, a certified human will need to review and endorse the result before its practical application. This role is necessary because automated systems cannot, on their own, assume legal or institutional responsibility. Similar figures already exist—such as technical managers, legal reviewers, and statutory directors—but the difference will lie in the specific validation of AI-mediated processes.

Trusted director

O trusted director should occupy a strategic position within organizations, being responsible for structuring policies of AI governance...to oversee internal audits, establish validation protocols, and provide institutional responsibility for incidents involving automated systems. This role is likely to emerge because, as AI begins to influence financial, legal, and operational decisions, companies will need formal leadership dedicated to... algorithmic risk management and to the preservation of corporate reputation. Today, positions such as Chief Compliance Officer or Chief Risk Officer already exist, but the trusted director would have a specific focus on the interaction between technology, accountability, and transparency.

AI Ethics Expert

O AI ethicist will be responsible for analyzing the social, legal, and organizational impacts of automated systems, evaluating potential biases, discrimination and conflicts of interestThis role should be valued because AI-based decisions can affect credit, hiring, medical diagnoses, and public policy, requiring clear criteria for accountability and fairness. Although researchers in applied ethics and compliance committees already exist, the technical complexity of AI demands professionals capable of engaging in dialogue with both engineers and managers.

Legal guarantor

O legal guarantor A qualified professional will formally assume responsibility for decisions or documents produced with the support of AI, acting as the final human instance before official validation. In contracts, technical reports, structural projects, or financial opinions generated by intelligent systems, a qualified professional will be required to review, approve, and be legally responsible for the content. This role is necessary because algorithms do not possess legal personality and cannot be held legally liable. Similar figures already exist, such as technical managers and signatory partners in law firms, but the difference will lie in the validation of content produced by AI.

Consistency Coordinator

O consistency coordinator The role will involve ensuring that AI systems maintain consistency across different applications, versions, and communication channels. Generative models can produce divergent or inconsistent responses over time, posing a risk to brands, contracts, and technical operations. This professional will be responsible for monitoring standards, reviewing outputs, and aligning technological updates with the organization's identity and norms. While quality control and brand management areas already perform similar functions, the scale and variability of AI will require specialized oversight.

Scheduling officer

O escalation officer This role will involve automated systems that are insufficient to resolve a problem, ensuring a smooth transition between AI-assisted support and human intervention. This function will be relevant in sectors such as customer service, education, healthcare, and financial services, where automated decisions can lead to dissatisfaction or complex situations requiring empathy and contextual judgment. Customer service supervisors and customer experience managers already exist, but the key differentiator will be managing hybrid workflows between humans and algorithms.

AI Integrators

Os AI integrators These professionals will be responsible for connecting intelligent systems to the real operations of companies, defining where the technology generates the most value, how it will be implemented, and what metrics will indicate success or risk. This role should emerge because simply acquiring AI tools does not guarantee results; it is necessary to adapt workflows, train teams, and align strategic objectives with the technical capabilities of the models. Similar roles already exist in... the digital and sustainable transformation e technology managementHowever, the complexity and speed of AI evolution will require specialists focused on this continuous integration. MBAs in Data Analytics and Innovation They are already training professionals with profiles close to what is required.

AI systems maintenance specialist (AI plumber)

The call AI plumber It will be responsible for identifying and correcting faults in complex automated systems, especially when multiple models and intelligent agents are interconnected. As companies adopt Generative AI, predictive systems, and autonomous agentsThis increases the risk of chained errors, data conflicts, or inconsistent responses. This professional will be responsible for diagnosing the source of the problem, adjusting parameters, and restoring the proper functioning of the system. Today, there are already machine learning engineers and data infrastructure specialists who perform similar functions, but the advancement of agentive AI tends to make this role more specialized.

AI reviewers

Os AI reviewers They will be responsible for testing models, comparing versions, measuring performance, and identifying risks such as biases, hallucinations, and loss of accuracy over time. As AI systems are constantly being updated, it will be necessary to monitor quality and impact indicators before tools are implemented on a large scale. This role should be valued because automated decisions directly affect reputation, legal security, and financial results. Professionals in this field already exist. data analysis and software quality controlHowever, the evaluation of generative and predictive models requires specific validation criteria. Courses in Statistics, Data Science, and Software EngineeringThey provide a solid technical foundation for this specialization.

AI Chief

O AI chief (Chief AI OfficerThe Chief AI Officer will occupy a strategic leadership position, defining usage policies, investments, and governance guidelines in artificial intelligence. This role arises because AI has begun to influence business decisions, innovation, and competitiveness. Companies adopting AI will need an executive capable of integrating technology, strategy, and risk management. While positions like CTO and CIO already exist, the Chief AI Officer will have an exclusive focus on... algorithmic strategy e data-driven innovationExecutive programs and MBAs em Digital Leadership e Innovation, like those of FGVThey are already starting to train professionals with this profile.

AI engineers

Os AI engineers They will be responsible for developing, training, and implementing machine learning models and generative systems, adjusting algorithms, preparing databases, and ensuring scalable performance. Although this profession already exists, its demand is expected to grow significantly as more sectors adopt AI-based solutions. The future differentiator will be specialization in... Generative models, autonomous systems, and intelligent agent architecture.Degrees in Computer Science, Software Engineering, and Applied Mathematics They are already structuring the technical training necessary for this expanding career.

AI Consultants

Os AI consultants These professionals will be responsible for advising companies on the selection, implementation, and optimization of artificial intelligence-based solutions. Unlike engineers focused on technical development, these professionals will have a strategic role: mapping opportunities, calculating return on investment, identifying regulatory risks, and guiding organizational changes. This role is likely to increase in value because many companies want to adopt AI but lack sufficient internal expertise to structure this transformation. Consultants in digital transformation and analytics already exist, but the rapid advancement of generative AI is increasing the demand for specific specialization.

Integration specialist

O integration specialist The role will involve ensuring that AI systems function in a coordinated manner with existing software, internal databases, and the company's operational workflows. This function arises because AI adoption does not occur in isolation: it needs to interact with ERPs, CRMs, financial systems, and customer service platforms. The professional will work on technical adaptation, process redesign, and performance measurement of implemented solutions. While systems architects and IT integration specialists already exist, the complexity of intelligent models—especially those based on continuous learning—will require additional skills.

AI trainer

O AI trainer This role involves curating and organizing data used to feed customized models, as well as adjusting parameters and guiding responses according to the organization's culture and objectives. As companies adopt systems trained with their own internal data, the need for professionals capable of structuring reliable databases and defining response standards grows. This function is an evolution of roles that already exist in... data science and information analysisbut with a specific focus on the behavioral and contextual adaptation of the models.

AI Personality Director

O AI personality director This role will be responsible for defining the tone, style, and communication standards of the automated systems used by a company, especially in customer service channels and content production. As virtual assistants and generative tools begin to interact directly with customers, ensuring consistency between brand identity and AI behavior becomes strategic. This function combines elements of branding, institutional communication and technology...and it tends to gain value in sectors where user experience is a competitive differentiator. Brand directors and customer experience managers already exist, but the specific focus on the "voice" of AI represents a new specialization.

Differentiation designer

O differentiation designer This professional will be responsible for developing strategies that set companies apart in a landscape where all companies use similar AI tools. When technology becomes accessible to everyone, the competitive advantage lies in how it is applied, communicated, and integrated into the brand's value proposition. This professional will combine... product strategy, market positioning and creative directionThis defines how a company distinguishes itself even when using widely available technologies. While brand strategists and product designers already exist, the emphasis on differentiation in a highly automated environment tends to expand this role.

Medication Adherence Optimizer AI

O AI-powered medication adherence optimizer will work on the development and supervision of intelligent systems focused on patient monitoring, aiming to increase the adherence to medical treatmentsThese systems send personalized reminders, identify dropout patterns, and predict interruption risks based on clinical and behavioral data. This role is likely to gain relevance, as low therapeutic adherence is a recurring problem that increases costs and compromises clinical outcomes. Similar roles already exist, such as... population health managers and health data analystsHowever, the use of AI for continuous monitoring brings new technical and ethical demands.

Specialist in AI/human evaluation.

O AI/human evaluation specialist will be responsible for measuring, comparing, and validating the performance of artificial intelligence systems in relation to human work, analyzing criteria such as precision, efficiency, impartiality and social impactThis professional will be responsible for structuring metrics, conducting controlled tests, identifying biases, and producing technical reports that guide strategic decisions regarding human replacement, complementation, or supervision. The role is likely to increase in value because companies and governments will need to justify the use of AI in sensitive areas such as education, health, credit, and security. Organizational performance evaluators and systems auditors already exist, but the direct comparison between human and algorithmic decisions requires more specific statistical, regulatory, and ethical competencies.

And you? Which of these professions that will emerge with the advances in AI do you think will really stand out? Tell us in the comments below!

See also:

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The History of Android (versions 1 to 16)

Source: The new tork times.

reviewed by Gabriel Princessval in 19 / 02 / 2026