The impact of Artificial Intelligence (AI) on the job market is clear to see.
Workers of the future are required to adapt to new employment models in a context where machines are becoming increasingly intelligent and an integral part of activities that were previously carried out by humans.
For example, AI applications in marketing and business economics are used to automate advertising and targeting activities, optimize efficiency, operational costs, and management, and support internal decision-making processes within a company.
Working with Artificial Intelligence helps professionals focus on high-impact business activities and make better business decisions in less time.
The revolution introduced by generative AI has the potential to impact almost all sectors, promising a significant competitive advantage for those who can virtuously integrate it into their tasks.
When discussing Artificial Intelligence and work, it is important to consider AI as a useful complement to human work rather than a simple substitute. The right approach is not to question which professions are at risk in the coming years but to understand that AI and people together can generate much more value than they can individually, creating continually new employment opportunities.
Artificial Intelligence: 8 New Jobs of the Future
By 2027, approximately 23% of jobs globally are expected to undergo significant changes due to factors like AI adoption, the green energy transition, and shifts in supply chains. This includes the creation of 69 million new jobs and the elimination of 83 million existing ones, resulting in a net loss of 14 million jobs.
Which AI jobs are most in demand by companies? Which professions of the future will make extensive use of Artificial Intelligence and new technologies? Below are the main jobs of the future in AI, also looking at WEF data.
1. AI Engineer
The AI Engineer is a specialist in applying AI within a company, designing, developing, and implementing cognitive services and solutions involving machine learning, deep learning, and automatic learning. Expert AI Engineers help their organization maintain its competitive edge in the market by collaborating with multidisciplinary teams and identifying opportunities to use AI to optimize operational efficiency.
Equally crucial is their role in maximizing business processes, developing predictive data analysis, and providing strategic decision-making support to top management.
2. Business Intelligence Analyst
The Business Intelligence Analyst possesses complex and versatile skills, organizing, categorizing, and reprocessing company information to extract business performance insights and strategic decision-making guidelines. They identify predictive behavioral trends and market trends through analytical skills that support decision-making with well-organized statistical business data.
3. Machine Learning Specialist
The Machine Learning Specialist, a prevalent AI job today, is specialized in applying machine learning to create and optimize predictive behavioral models and smart algorithms.
Responsible for analyzing data using advanced mathematical and computational methods, a Machine Learning Engineer also evaluates model performances and optimizes business operations for accurate and reliable results. Their expertise will be increasingly sought after by companies in the future.
4. Fintech Business Analyst
The Fintech Business Analyst is a key professional in the financial and technological sectors. Their role involves using digital tools in financial contexts, analyzing corporate needs within financial services. Collaborating with stakeholders to understand operational challenges in achieving corporate objectives, they play a crucial role in identifying opportunities for process improvement and technological solutions.
They also monitor fintech market trends and provide strategic consulting to guide innovation and technology adoption in the financial sector.
5. Cyber Security Analyst
The Cyber Security Analyst is responsible for the digital security of companies and organizations, protecting them from cyber threats and attacks. Managing IT infrastructure protection and security system implementation on one end, they also handle security incidents by investigating attack nature, mitigating effects, and restoring affected systems using specific security tools.
Another reason this job in Artificial Intelligence is sought after? Cyber Security Specialists also identify potential external data breaches that could compromise the safety and privacy of valuable corporate information.
6. Artificial Intelligence Ethicist
The Artificial Intelligence Ethicist operates in the field of AI ethics. Evaluating the social, moral, and legal impacts of AI, this expert develops ethical guidelines for responsible AI use.
They integrate ethical principles throughout the entire lifecycle of AI systems, addressing issues like privacy, algorithmic bias, discrimination, and responsibility. The main goal is to ensure that AI is developed and utilized ethically, respecting fundamental values and generating a positive impact on society.
7. Data Scientist
Professions of the future are looking at Big Data. The Big Data Scientist is an expert in analyzing, extracting, and interpreting big data, providing companies with insights into market developments, products, and improving relationships with users and consumers. This highly demanded AI job leverages the latest technologies for data management, business insight generation, and cataloging.
Advanced analytical skills help companies make better decisions based on concrete data. The role is similar to that of a Data Labeling Specialist, responsible for labeling and annotating data used for AI model training.
8. Digital Transformation Specialist
The introduction of new digital technologies and AI in the workplace has created the need for new roles and responsibilities, including the Digital Transformation Specialist. These future leaders drive the implementation of digital transition processes in various organizational settings, fostering innovative approaches to creating business models based on strategic implementation of new technologies.
The Digital Transformation Manager's goal is to create disruptive value, demonstrating courage in embracing digital innovation.
What to Study to Work with Artificial Intelligence?
Wondering what to study to work with AI? The Department of Management, Finance, and Technology at the University of LUM offers cutting-edge degree courses to acquire integrated technological, computer, and business skills.
Two particular degree programs align well with recent labor market and AI trends, providing a strong approach to Artificial Intelligence, machine learning, cybersecurity, and the Internet of Things:
- Bachelor's Degree in Management Engineering and Digital Management
- Bachelor's Degree in Computer Engineering for Digital Transition
According to a recent World Economic Forum study on Artificial Intelligence and the future of work, almost 75% of interviewed companies will adopt generative AI, expecting a rapid increase in demand for AI and machine learning specialists, data analysts, and digital transformation specialists. Discover the study program that matches your ambitions and choose LUM to take on prestigious leadership roles in the AI world!
Skills Required in the AI Field
To prepare for the challenges of the AI future of work, acquiring the right skills and soft skills is essential. Essential skills for working in the Artificial Intelligence field include flexibility: a dynamic mindset is crucial to adapt to changes in a work environment where machines become increasingly intelligent and useful in supporting human creativity, logic, and operations.
To work in the Artificial Intelligence sector, one must also acquire transversal skills that integrate a mathematical-statistical background with the understanding of linguistic models and ethical knowledge underlying AI impact debates. Advanced programming, data science, and software engineering skills complete the ideal profile. While the career path may seem complex at the beginning, curiosity and a continuous learning drive can make a difference in seizing the most prestigious job opportunities offered by Artificial Intelligence.
