Five Careers That Benefit from an AI for Business Degree (Without Becoming a Programmer)

When people think about careers in artificial intelligence, they often picture highly technical paths like software engineers, data scientists, or machine learning specialists. 

All of these careers matter and are in high demand across industry, but they also only represent one side of the current AI economy and labour demand.

After all, while companies may be eagerly building and deploying AI tools, they are also adopting them for their own use and growth, and the skills to effectively drive these initiatives are not the same.

In other words, businesses also need professionals who can decide where AI should be used, what business problems it can solve, what opportunities it can create, and whether this transformation is in fact creating value. 

Because of this, there are immense opportunities for business professionals who understand AI strategically even if they never become programmers.

Let’s take a closer look at how a business degree such as the Online MSc in AI for Business can help fill this gap and what five different careers down this path might look like.

Why AI literacy is spreading beyond technology roles

AI skills are increasingly appearing in job descriptions that would not traditionally have been considered technical.

Take for instance LinkedIn's 2025 labour-market research which found that job postings requiring AI literacy increased 71% year-over-year. Among the occupations appearing prominently were positions in the business development side of things, including Product Manager, Business Strategy Analyst, and Marketing Specialist.

Graduate business employers are seeing the same shift. GMAC's 2025 Corporate Recruiters Survey found that 31% of employers considered knowledge of AI tools important when hiring graduate management talent, compared with 26% in 2024. Problem-solving and strategic thinking remained among employers' most valued skills, but there is a growing awareness that these skills need to be coupled with AI awareness to properly conduct modern business.

The emerging advantage is therefore not for tomorrow’s business to have exacting technical knowledge of data and coding, but rather having the ability to combine AI literacy with business judgment.

Now, let’s take a closer look at some of the potential career paths.

1 - AI Strategy and Digital Transformation

One of the clearest career directions for putting AI literacy into practice would be helping organizations decide how AI fits into their wider strategy.

Digital transformation professionals often evaluate where automation makes sense, identify opportunities to redesign processes, assess investments, and help different departments adopt new ways of working. While historically these roles have focused on bringing older companies into a digital-first world, the same is true with an AI-focused world.

For instance, the World Economic Forum reports that almost half of employers expect to reorient their business models around new AI opportunities, while 77% plan to upskill employees to work more effectively alongside AI by 2030.

Professionals who can connect technology such as AI with business strategy can certainly play an important role in that transformation.

2 - Business and Management Consulting

It should come as no surprise that business consultants are increasingly being asked to help organizations understand AI.

A client may want to know whether AI could improve customer service or need help evaluating automation and workflows. Another might be struggling with governance, workforce adoption, or selecting appropriate tools. All of these are challenges they wouldn’t have faced even five years back, and many do not have the in-house personnel to help bridge these gaps.

The consultant in this role does not necessarily need to build the technology. Rather, they need to understand the organization well enough to determine how technology could improve it.

3 - Product and Innovation Management

Product managers frequently have a full plate as they sit between customers, executives, designers, marketers, and technical teams. AI makes that role even more interesting than ever before.

For instance, a product manager may need to determine whether an AI feature could solve a genuine customer problem in their product. They also need to work with technical teams to understand what is feasible, evaluate risks, and develop a strategy for bringing the product to market.

Just remember that a strong product leader does not necessarily need highly technical skills, such as building the system or coding the AI. They only need to be able to translate the technical aspects of the AI elements into the user-facing side of the conversation.

4 - Marketing and Customer Experience

Marketing has become one of the most visible areas of AI adoption in business. It’s hardly a secret that organizations now use AI to support:

• audience analysis
• personalization
• customer segmentation
• campaign optimization
• content workflows
• customer service
• predictive insights

The technology alone, of course, isn’t what makes all these processes possible and valuable, but having someone who can effectively deploy it and analyze the results.

It is marketing professionals who must determine what customers actually need, whether automated recommendations are appropriate, how data should be used responsibly, and whether AI-generated activities support the brand.

5 - AI Project and Program Management

As we’ve discussed so far, some of the most important people in an AI initiative may never write a line of code. Rather, it’s the ones who understand how to gain value from its adoption.

At many organizations, AI adoption doesn’t only affect a single department or role, but the way the entire company operates. Having someone who is able to oversee and assist in its rollout and adoption becomes critical, creating new opportunities for project and program managers who understand both business and AI.

Ultimately, as AI-adoption increases industry to industry, there’s a growing importance of professionals who can manage AI implementation rather than engineer the underlying models.

How an MSc in AI for Business with these Careers

If you’re in the early stages of your career and can see yourself fitting into one of these roles, there are in fact education programs out there that can better prepare you.

Take for example SBS Swiss Business School's Online MSc in Artificial Intelligence for Business. This 90 ECTS, 1.5-year online master's degree is specifically designed around this intersection of business and technology.

The main focus is on applying AI to business strategy, operations, innovation, and decision-making. No coding background is required.

The curriculum includes subjects such as:

• AI Foundations for Business Strategy
• Business Analytics & Data-Driven Decision Making
• Leading People & Change in the AI Era
• AI-Driven Innovation & Value Creation
• AI Strategy & Business Model Transformation
• Behavioral AI & Customer Personalization
• Intelligent Automation & the Future of Work
• Ethical & Responsible AI Management
• Project Management for AI & Digital Initiatives

That curriculum reflects the kinds of decisions professionals actually need to make as AI moves deeper into business and which directly aligns with some of the most in-demand roles currently sought after in business. If you are looking to be one of the leaders driving this change, a degree like this can provide you with the knowledge you need to begin your journey.

FAQ about AI for Business Careers

Do I need programming skills for a career in AI for business?

Not necessarily. Roles in strategy, consulting, product management, marketing, transformation, and AI project leadership all emphasize understanding the business application of AI rather than the technical know-how.

Does the SBS Swiss Business School MSc in AI for Business require coding experience?

No. The MSc in Artificial Intelligence for Business is business-focused and requires no coding background. It is a business-focused degree rather than a technical degree.

Which non-technical careers are increasingly asking for AI literacy?

As we noted, LinkedIn's labour-market research identifies roles including Product Manager, Business Strategy Analyst, Marketing Specialist, Data Analyst, and Program Manager among job titles increasingly requiring AI literacy.

What do employers want alongside AI skills?

Problem-solving and strategic thinking remain among employers' most valued graduate business skills. Communication, adaptability, and other interpersonal capabilities also continue to matter.

Is an MSc in AI for Business suitable for early-career professionals?

Yes. No prior work experience is needed, making a degree like this suitable for graduates and early-career professionals as well as experienced business professionals.

Final Thoughts

As it has become increasingly clear, the rise of AI does not mean everyone needs to become a programmer. Rather, it means more professionals need to understand what AI can do and how to turn those capabilities into better products, stronger strategies, improved customer experiences, and smarter organizations.

Careers in strategy, consulting, product management, marketing, and project leadership increasingly sit at that intersection between technology and business.

At SBS Swiss Business School, the Online MSc in Artificial Intelligence for Business is designed precisely for this space: developing professionals who can understand AI, communicate across business and technical teams, and turn emerging technology into practical business value.

Contact us today!