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Professions of the future: discover the top 10 and their salaries

future of professions

Estimated reading time: 9 minutes

The world is increasingly technological. As a result, we have seen a revolution in the job market. As the automation, The Artificial Intelligence (AI) and the scanning They gain space, new professions and demands for skills emerge to keep up with the pace of change.

If you are interested in learning about the main professions of the future, this content is for you! Next, we will explain what the concept means, we will show examples of the professionals who will be most in demand in the coming years, the duties and skills required by the market and what is necessary to win an opportunity.

Read on to learn all about the topic and prepare for this evolving scenario. 

What are professions of the future?

To understand the professions of the future, think about your grandparents' generation. Did they ever imagine the profession of influencer? Or that your grandchildren would make money playing video games? 

The professions of the future are responses to the emerging demands of society and technological changes. In other words, they accompany cultural transformations and, therefore, are dynamic: something new can emerge at each time. 

A recent study, released by World Economic Forum, addressed the prospects for the job market in the coming years. According to the report, demand for labor will not remain static. We will see updates caused by geopolitical and economic transformations arising from the experiences of recent years, including the Covid-19 pandemic.

The conclusions of the World Economic Forum highlight that the occupations with the highest growth projections are in the areas of technology, digitalization and sustainability

Do you want to know what the professions of the future are? Below, we list each of them, detailing the duties, necessary skills and also the estimated salary. Don't forget to check it out!

Man and woman looking at screens with various professions of the future

no-code Programmer

With the increasing accessibility of technological solutions, programmers no-code stand out from the create apps and solutions without the need for complex coding. This not only simplifies the development process, but also democratizes access to technology, allowing diverse professionals to participate in the creation of digital solutions.

The role of no-code programmers does not require proficiency in conventional programming languages, but still demands a range of specific skills and knowledge. So it's worth investing in courses to create e-commerces and apps, in addition to having dominance on specific platforms. 

According to the salary survey carried out by Code Fonte TV, the average salary of a no-code developer is R$8,052.09.

Quality Analyst

This professional will be responsible for ensure the quality and efficiency of products and services of companies. With the increasing value of customer experience, quality analysts play a crucial role in identifying and resolving problems, ensuring consumer satisfaction.

To meet the demands of the area, it is necessary to invest in academic training in areas such as:

  • production engineering
  • industrial engineering
  • Administration
  • Quality Technology
  • computer Science 

However, training may vary depending on the industry and the nature of the products or services offered by the company. O wage for quality analyst in Brazil varies between R$1.850 and R$5.825, according to Glassdoor estimates.

Information security analyst

Faced with the threat of breaches and cyber attacks, information security analysts will be essential to protect company data and infrastructure. Its main functions are: 

  • Identify vulnerabilities;
  • Implement protection measures;
  • Respond to security incidents.

To work as an information security analyst, you must have training in:

  • computer Science
  • Computer engineering
  • Information Technology 

In addition to academic training, knowledge of cybersecurity practices, such as encryption and authentication, are essential. 

According to Glassdoor, the salary for an information security analyst in Brazil varies between R$3.660 and R$12.723.

Data analysts and scientists

The volume of available data has increased exponentially, and data analysts and scientists will be responsible for to extract insights valuable from them. 

These professionals are responsible for helping companies make informed decisions, identify market trends and improve operational efficiency. They generally have training in areas such as:

  •  computer Science 
  •  Statistic
  •  Mathematics
  •  Data Engineering

The salary for a data science analyst in Brazil varies between R$7.750 and R$30.827, according to a Glassdoor survey.

Cloud Computing Engineer

Cloud computing is transforming the way companies store and access data. Computer engineers in the area are responsible for designing and managing cloud infrastructures, ensuring companies have secure and efficient access to their resources

To operate in this market, the recommended training courses are as follows: 

  • computer engineering 
  • computer Science
  • Software Engineering 

The salary of a cloud computing engineer in Brazil varies between R$8.000 and R$32.400, according to Glassdoor.

power engineer

In a scenario increasingly focused on renewable energy and sustainability, engineers specializing in energy play a vital role in planning and implementing ecologically viable energy solutions

The work covers the creation of sustainable energy systems and the reduction of dependence on non-renewable sources. To perform this role, you need a degree in:

  •  Energy Engineering
  •  Electrical engineering 
  •  Mechanical Engineering.

The salary of an energy engineer in Brazil, according to Glassdoor, varies between R$9,000 and R$24,000.

robotic engineers

The advancement of automation and robotics is effectively shaping the industrial landscape. Engineers specializing in robotics are the masterminds behind the design and development of automata intended for a wide range of applications, from production lines to the provision of cutting-edge medical care. 

To enter the field, academic training is usually in:

  •  Mechatronics Engineering 
  •  Electronic Engineering
  •  Electrical engineering 
  • Computer Science.

The salary of a robotics engineer in Brazil varies between R$4.524 and R$8.158, according to information from Glassdoor.

Digital marketing specialist

In an era in which digital marketing is consolidated as a means of strategic reach, professionals dedicated to the area assume a central role. 

Digital marketing experts are the architects of strategies that not only help increase brands' visibility online, but also generate leads quality and improve the customer experience. Generally, professionals have training in areas such as:

  •  Marketing
  •  Communication
  •  Advertising 
  •  Journalism

The salary of a digital marketing specialist in Brazil varies between R$4.250 and R$18.721, according to Glassdoor.

Artificial Intelligence Specialist

The use of Artificial Intelligence (AI) has become increasingly common in different sectors and activities. Therefore, specialists in the field are increasingly in demand.

The professionals design and implement AI-based solutions, which automate processes, improve decision-making based on data analysis and promote operational efficiency. 

AI experts develop machine learning algorithms, recommendation systems, and natural language processing. They can apply technology in areas such as:

  • Medical diagnoses
  • Industrial automation
  • Complex data analysis
  • Other areas

The main objective is to drive innovation, transforming the way companies and industries operate. 

To work as an AI specialist, the recommended training is: 

  • computer Science
  • Computer engineering
  • Electrical engineering
  • Mathematics 

The salary of an Artificial Intelligence specialist in Brazil varies between R$3.000 and R$4.024, according to Glassdoor.

advisor creators

The trend points to an increase in the number of agencies specializing in managing the careers of digital influencers, as new creators emerge. 

In addition to facilitating the process of establishing new partnerships with companies, advisors strategically guide creators. They are involved in the detailed management of professional trajectories, taking care of aspects that go far beyond simple commercial collaborations.

There are several training courses and specializations that may be interesting for the area, such as:

  • Marketing
  • Public relations
  • Advertising 
  • Journalism
  • Business management

According to information from Glassdoor, the average salary for a consultant creators in Brazil it is  R$2.510.

What is the future of old professions?

Amidst so many transformations, it is natural to question whether old professions are destined to disappear. However, the reality is more complex. While some occupations can be automated, many of them will undergo a transformation and require new skills. Professions that involve creativity, empathy, complex decision-making and human interactions will continue to be valuable.

How to prepare for the future

In the face of changes in the job market, preparation is essential to stay relevant and take advantage of the opportunities of the future. Investing in specialized courses and training is the best way! 

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The market is changing – fast. Artificial intelligence is no longer a trend, it has become a necessity. Companies are cutting costs, optimizing operations and looking for specialists to implement AI in their daily lives. And this is exactly where the AI profession comes in. AI Manager Course.

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Artificial intelligence (AI) is reshaping the way the financial sector operates, from risk analysis to the automation of complex processes. More than a trend, AI has become a strategic tool for financial institutions that want to increase their efficiency, reduce costs and offer personalized experiences. Within this scenario, the use of AI agents for finance has been gaining ground as a practical and accessible application for companies of all sizes.

Financial dashboard with automated charts and visuals representing artificial intelligence

AI Software Development in the Financial Sector

Creating AI-based solutions in the financial context requires robustness, security, and adaptability. Developing this type of software requires an architecture that is prepared to handle large volumes of data, continuous learning, and the ability to provide accurate insights.

In addition, systems need to be able to handle sensitive data, integrate with multiple sources (such as banks, brokerages, and ERPs), and adapt quickly to regulatory changes in the industry. Flexibility and modularity are core elements of any AI architecture for finance.

Integration with Existing Infrastructures

Much of AI’s success in the financial sector depends on its integration with legacy systems. This includes internet banking platforms, CRMs, payment gateways, and compliance tools. Using NoCode platforms such as make up or N8N allows you to create effective connections without the complexity of traditional development.

By the way, if you want to experience in practice how to integrate financial flows with AI, No-Code Start-Up provides a free N8N course with full video on YouTube. It's a great opportunity to explore real automations and understand how to structure secure and intelligent integrations in an accessible way.

With this approach, banks and fintechs can activate intelligent flows based on real data, such as automatic sending of alerts, personalized segmentations and recommendations based on consumer behavior.

Challenges in AI Development for the Financial Sector

Despite the enormous potential, there are challenges that need to be considered. Among the most relevant are:

  • Data quality: models are only effective if fed by clean and organized data.
  • Explainability: It is essential to understand how the AI arrived at a particular recommendation.
  • Cultural resistance: Traditional teams may resist adopting automation and algorithm-based decisions.

As highlighted by Deloitte, the combination of data governance, team training and ethical monitoring of AI is essential to mitigate risks and generate consistent results.

Security and Regulatory Compliance

The financial sector is one of the most regulated in the world. Therefore, all AI applications must comply with standards such as LGPD, GDPR and Central Bank regulations.

The adoption of good practices Data Privacy by Design, end-to-end encryption and role-based access control are just some of the basic requirements. Platforms such as Xano offer robust infrastructure with a focus on security for those who want to develop financial backends with AI.

Digital security illustration with padlock and financial data, symbolizing protection and compliance in AI application

Software Scalability and Resilience

As AI becomes a critical part of operations, it is necessary to ensure that systems are scalable and resilient. This means being able to grow as demand dictates, without compromising performance or security. Cloud computing and the adoption of microservices are essential strategies in this journey.

Companies like Goldman Sachs and Bank of Brazil have already demonstrated, in different contexts, how AI models can be deployed gradually, safely testing hypotheses before scaling to the entire operation.

AI Agents for Finance: Use Cases and Applications in the Financial Sector

1. Automated credit analysis

Companies like Credits use AI to evaluate hundreds of variables — including banking history, spending habits, and public data — to offer personalized credit. This reduces default rates and expands access to credit in a fairer way. According to McKinsey, automation can reduce analysis time by up to 70%.

2. Fraud prevention

O Bradesco and other institutions have implemented machine learning models that detect fraud based on behavioral patterns. When a transaction deviates from the pattern, the system triggers an automatic block or sends an additional verification to the user. According to Visa, the use of artificial intelligence helps prevent fraud totaling approximately US$14T25 billion.

3. Automated investment management

Robo-advisors like the ones from XP Investments use algorithms that analyze investor profiles, financial goals and market conditions to assemble and rebalance portfolios autonomously. CB Insights highlights that these systems are democratizing access to quality financial services, previously restricted to large investors.

4. AI-powered customer service

O Itau has incorporated AI into its digital channels, allowing customers to renegotiate debts, request second copies of bills or consult invoices using natural language. This reduces response time, improves customer experience and frees up human teams for more complex cases. According to Accenture, up to 80% of first-level banking interactions can now be automated using artificial intelligence.

5. Cash flow forecast

Financial management startups use AI agents for finance that integrate data on accounts payable and receivable, seasonality and market trends to predict cash flow for the coming months with high accuracy. Based on this information, more assertive decisions can be made. Harvard Business Review reinforces that this approach reduces the margin of error in financial projections and improves strategic planning.

The Role of AI Agents for Finance

Among all the applications, the AI agents for finance stand out for their versatility and accessibility. They function as intelligent “copilots”, performing tasks such as:

  • Automatic generation of financial reports
  • Sending alerts about targets or deviations
  • Predictive profitability analysis

Using platforms such as Dify and OpenAI, it is possible to configure these agents with natural language, making them easier to use even for those without technical training. This expands access to data intelligence in the financial sector.

The Future of AI in the Financial Sector

Artificial intelligence in the financial sector is no longer a distant promise — it is present in strategic decisions, customer service, and risk management. The adoption of technologies like AI agents for finance represents a leap forward in digital maturity. As technical challenges are overcome and platforms become more accessible, companies of all sizes will be able to use AI not only to automate, but to evolve.

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How AI is changing the market can be observed in practically all sectors of the economy, and this change is intensifying every day. Artificial intelligence (AI) is being recognized as a disruptive force that is profoundly reshaping the global market. From simple tasks to complex decisions, it has been integrated into processes in various sectors, transforming the way people work, consume and manage businesses.

Furthermore, when observing the effects of this transformation, it becomes clear how much the job market is being reconfigured: new opportunities arise, some professions lose ground and others adapt or are reborn with the support of technology, which demonstrates how AI is changing the market in a broad and profound way.

How AI is changing the job market

AI is accelerating the automation of repetitive and operational tasks. AI systems are already being used to efficiently perform:

  • Customer service with chatbots.
  • Predictive data analysis for sales and marketing.
  • Automated financial and audit processes.
  • Inventory control and logistics.

These changes not only reduce operational costs, they also require the workforce to be retrained for new roles, which reinforces how AI is changing the job market with great intensity.

Representation of people and artificial intelligence collaborating in different professions

Professions affected by artificial intelligence

According to PwC's report on the future of work (source), it is estimated that up to 30% of human tasks could be automated by the mid-2030s. This data shows, in practice, how AI is changing the job market and skills requirements.

Some of the roles most impacted by AI include:

  • Telemarketing operators
  • Administrative assistants
  • Data Analysts (some tasks being replaced by generative AI)

On the other hand, new functions emerge, such as:

  • Prompt Engineers
  • Automation experts with NoCode
  • Conversational Experience Designers
  • Intelligent Agent Managers

Those AI agents, for example, have been increasingly used in companies seeking to automate decisions and perform tasks with minimal human intervention. According to an analysis of the The Verge, large companies such as OpenAI, Google and DeepMind are investing heavily in the development of these systems, which can already act independently in complex corporate processes. They are designed to operate autonomously, learn continuously and integrate with other technologies — which makes them key players in the ongoing digital transformation.

What's Happening Now: How AI is Changing the Marketplace in Numbers

The AI market is experiencing exponential growth. The sector is estimated to surpass US$ 500 billion in value by 2027. There is a global race for innovation, with startups, large companies and governments investing heavily in:

  • Generative models (like ChatGPT)
  • Robotic Process Automation (RPA)
  • Artificial intelligence applied to health, education, law and agribusiness

This movement demonstrates how AI is being positioned as a strategic asset for growth and competitiveness.

Suggested reading:

AI Agent and Automation Manager Training

What are the negative aspects of AI in the job market?

Despite promising advances, important challenges also arise:

  • Structural unemployment: functions terminated without sufficient time for requalification
  • Digital inequality: not everyone has access to technological education
  • Technological dependence: companies become hostages of platforms and algorithms
  • Ethical and privacy issues: inappropriate use of data and biased automated decisions

These factors require public policies, business leaders and civil society to debate limits, transparency and responsibilities in the use of technology.

People using AI tools in a modern workplace

Opportunities and the future of work with AI

The key is in the conscious adaptation. The future of work will be driven by:

  • Continuous learning and professional requalification
  • Mastery of AI tools and NoCode platforms
  • Creating new business models based on data and automation
  • Development and management of autonomous AI agents

Increasingly, professionals and companies will need to adopt a stance proactive and experimental, turning AI into an ally.

Recommended courses:

AI and entrepreneurship: new market frontiers

Artificial intelligence is not only transforming the traditional job market, it is also paving the way for new business models. Digital entrepreneurs are using AI to create scalable products such as intelligent assistants, recommendation systems, and data-driven SaaS platforms. No-code tools combined with AI agents are enabling the emergence of lean, highly automated, and highly personalized startups.

A great example is the AI-based micro-SaaS, which solve very specific problems and can be created by a single person. Platforms like Bubble, FlutterFlow and Make, integrated with OpenAI models, make this scenario not only possible, but accessible.

For those who wish to explore this new territory, we recommend SaaS IA NoCode Training, designed to transform ideas into digital products using the power of artificial intelligence.

How AI is changing the market and shaping the future

Artificial intelligence is changing the market in an irreversible way. It is not only a technological revolution, but also a social, professional and economic transformation. The question is no longer “if” AI will impact your work, but “how will you position yourself in this new era”.

The good news is that there have never been so many accessible tools for those who want to learn AI in practice.

See all No Code Start Up training and courses

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