The important thing: what kind of job is behind each degree
At Singularity Experts we always insist on one key idea: employability is better understood from concrete jobs than from university degrees. The same degree can lead to very different jobs, with very different tasks and very different levels of exposure to automation. So when families ask us if a degree "has a future," we always answer with another question: what kind of job will that person have afterwards? The labor market is reorganizing around professional tasks, skills and roles, and artificial intelligence is accelerating that change.
BUT there are university degrees that are directly related to professions involving tasks that are being replaced by artificial intelligence. And we cannot ignore this. We already explained it in our post on how AI is transforming the first job for young people: guidance needs to be updated because the first job is changing, especially in positions where young people used to learn by doing basic tasks.
These are the 4 college degrees I would look at more carefully this year:
1. Business Analytics: from analyzing data to knowing how to decide with data 2.
Business Analytics has been one of the star careers in recent years, especially for Bachelor of Social Sciences profiles with an interest in business, data and strategy. It made perfect sense: companies needed people capable of ordering information, detecting patterns and converting data into business decisions.
The issue now is that many of those tasks are being automated very quickly. AI tools already clean data, prepare reports, propose scenarios and help interpret results. PwC, in its Global AI Jobs Barometer 2025, differentiates between jobs where AI assists human judgment and jobs where it can execute many tasks on its own. Among the examples of highly exposed jobs are profiles such as financial analysts.
This changes the type of profile that will stand out in Business Analytics. Those who understand the business, know how to ask good questions, connect data with strategy and have the criteria to decide which recommendation makes sense will gain weight. On the other hand, the profile that is limited to preparing dashboards, cleaning databases or generating standard reports will lose strength, because that part of the job is already fully in the realm of automation.
For a family, the message is clear: Business Analytics can still be a good option for a student with strategic thinking, curiosity for the business and the ability to make decisions with data. The key is to build a profile much closer to management, strategy and interpretation of complex problems than to operational analysis.
2. Computer science: it will continue to have value, but the junior profile changes completely
For years, Computer Science has been the quick answer when someone asked about a career with a future in the Technological Baccalaureate. Everything is digitized, every company needs technology and software is present in every sector. That basis is still true, but the way we work in technology is changing a lot.
AI is already writing code, correcting errors, generating documentation, proposing architectures, automating tests and helping to build prototypes in a very short time. The World Economic Forum is already warning that many entry-level positions are changing as AI takes over basic tasks such as data entry, programming or front-end support, citing a 35% drop in job openings in the U.S. over the past 18 months according to Cognizant in its article on how AI is changing junior work.
This is hitting hard at students coming out of a technical career expecting to start with simple programming tasks. It now becomes much more valuable to understand systems, design solutions, integrate tools, work with security, product, data and business, and use AI as a natural part of the development process.
A career in computer science will of course continue to open doors, especially for those who develop a strong technical foundation and learn to solve real problems. The difference will be that "knowing how to program" will be one piece of the profile, while understanding architectures, product, cybersecurity, AI, user experience and business needs will become increasingly important.
3. Marketing, Advertising and Digital Communication: the operational part becomes automated
Marketing, Advertising and Digital Communication have grown a lot in recent years because all brands need visibility, content, campaigns, networks, positioning and community. For many students of Humanities or Social Sciences, it seemed like a creative outlet and connected to the real world.
But artificial intelligence has entered with force just in the most frequent tasks of these profiles: writing texts, scheduling content, analyzing audiences, detecting trends, preparing ads, generating images, adapting messages and measuring results. The World Economic Forum itself points out that the skills linked to marketing, media, design and user experience will continue to grow due to digital transformation, but also explains that technological change requires greater weight in decisions and the need for critical thinking.
That is why the profile gaining strength in marketing will be the one that understands branding, positioning, human behavior, business strategy, data, culture and product. The part of fast execution, production of pieces and adaptation of formats will have more and more automated support.
This has a direct consequence for the choice of studies: a student who wants to go into marketing needs to build judgment, market understanding and strategic vision from the beginning. Operational marketing will be increasingly fast-paced and automated; so the marketing that will be valuable will be the one that knows how to decide what message matters, to whom, at what time and with what intent.
4. Graphic Design or Multimedia: from producing pieces to having criteria
Graphic Design, Multimedia Design or similar careers have been very attractive options for Bachelor of Arts students. We live surrounded by images, video, interfaces, brands and visual content, so it seemed logical to think that design would have a lot to offer.
Generative AI has changed the pace of visual production. Today you can create images, propose styles, design campaigns, generate videos, adapt formats and produce versions in minutes. This especially affects the more "executive" part of design: quick pieces, variations, network resources, initial proposals or basic materials.
Good design will still require visual culture, sensitivity, understanding of the user, art direction, conceptual thinking and judgment. The difference will be in the kind of value the person brings. A designer who only produces pieces competes with increasingly powerful tools. A designer who understands strategy, branding, experience, visual storytelling and user behavior can turn those tools into an advantage.
Here it is also worth looking at the concrete work. Design can be a good choice for profiles with aesthetic sensibility, conceptual capacity and desire to combine creativity with technology. The risk is when the choice is made thinking only of "I like to design beautiful things", because that part of the process is being filled with tools capable of producing a lot and very fast.
In conclusion, should we stop recommending these degrees?
No. These four degrees can still have interesting opportunities. The question is how to build a personal profile within each of them. Business Analytics, Computer Science, Marketing and Design will make more sense for students capable of differentiating themselves through criteria, strategy, independent thinking, technological understanding and adaptability.
The mistake that can be made in orientation is to look at the name of the degree as if it were a guarantee. So is falling into fear and discarding careers without analyzing the specific jobs behind them. Between these two extremes is the smart decision: understanding which tasks are automated, which skills gain weight and what kind of professional role each student can build from his or her talent.
At Singularity Experts we work precisely from this point of view. Our guidance packs help to translate this analysis into concrete decisions: what to study, what future jobs to orient the profile towards, what skills to develop and how to build a meaningful career in a labor market that changes faster than the education system.
Choosing studies this year will be an important decision. The difference is to make it with real information about the future of work, and with a much clearer idea of the person that each student can become professionally.