Why AI Literacy Is Becoming Essential for Future Business Leaders
Artificial intelligence is no longer limited to research labs or specialized technology firms. It now plays a visible role across everyday business functions, including supply chains, financial forecasting, marketing analysis, and customer service systems. Organizations rely on AI to interpret complex data, predict demand, and improve decision-making at scale.
Research continues to highlight the magnitude of this shift. A McKinsey report indicates that 86% of business leaders believe AI will fundamentally reshape their organizations by 2030.
At the same time, the World Economic Forum’s Future of Jobs Report points to a surge in demand for professionals who understand AI, big data, technological literacy, and leadership skills. Businesses are not only adopting new technologies; they are searching for people who can interpret them responsibly and apply them in real business settings.
To address this growing skills gap, the W. P. Carey School of Business at Arizona State University introduced the Master of Science in Artificial Intelligence in Business (MS-AIB). The university has held the title of #1 in innovation for more than a decade, and the program reflects that reputation.
The MS-AIB stands out as the first program of its kind offered by a U.S. business school, blending technical AI expertise with practical business strategy.
Integrating AI Knowledge With Business Strategy
The MS-AIB program combines instruction in machine learning, data analytics, and advanced modeling with traditional business subjects such as strategy and management. This mix allows students to understand both the technology behind AI and the organizational decisions shaped by it.
Student Tyler Lai (BS Computer Information Systems ’24, MS-AIB ’25) described the appeal of the program clearly:
“I chose W. P. Carey again because of their incredible focus on innovation. They are leading the way with forward-thinking programs like this one, which blends AI and business in a truly unique way.”
Alongside the specialized master’s program, the school also offers an MBA concentration in artificial intelligence. The concentration draws on the same faculty and course structure used in the MS-AIB program. Both full-time MBA students and working professionals can take part in these courses, gaining exposure to AI tools and business frameworks that apply across multiple industries.
Graduates from W. P. Carey’s master’s and MBA programs leave with the ability to apply AI thoughtfully within finance, operations, marketing, and other sectors.
Understanding AI’s Impact on Business Leadership

Freepik | To stay competitive, today’s business graduates must master both the mechanics of AI and its far-reaching ethical impact.
AI is now embedded in decision-making across companies. As a result, business graduates must understand not only how AI works but also how its use affects employees, customers, and society.
Programs such as the MS-AIB and the MBA AI concentration emphasize leadership in AI-enabled change. Students learn to assess the broader consequences of algorithmic systems and to communicate their impact inside organizations.
Pei-yu (Sharon) Chen, professor and chair of the W. P. Carey Department of Information Systems, explains the mindset encouraged throughout the curriculum:
“We teach students not just how to apply AI, but how to approach it with care and accountability. Is this model fair? Are we using the right data? How will this affect people? These are the questions we encourage students to ask.”
This focus on responsible AI remains central to the program. Ethical considerations, such as data privacy, algorithmic fairness, and transparency, appear throughout the coursework and case studies.
Graduate Nora Mawashi (MS-AIB ’25) described how this perspective reshapes the learning experience:
“We’re not just learning to code; we’re learning to inspire, lead, and drive meaningful change across organizations. This focus on the human side of technological innovation taught me that to truly harness the power of AI, we need to align it with human potential and organizational goals.”
The school also supports research through the Center for AI and Data Analytics (AIDA) for Business and Society. The center focuses on responsible uses of AI and data analytics in business and public institutions. Pei-yu Chen serves as co-director, and the center gives students exposure to research initiatives and discussions about ethical technology development.
Practical Experience With AI in Business Settings
The MS-AIB and MBA programs place strong emphasis on real-world application rather than theory alone. Students spend significant time working with datasets, predictive models, and machine learning algorithms that mirror real business challenges.
Coursework introduces tools used in analytics and AI development, including predictive modeling systems that help organizations forecast demand, manage risk, and improve operational efficiency. Students apply these tools within case studies and collaborative projects that replicate real decision environments.
Student Abhi Sorari (BS Business Data Analytics/Supply Chain Management ’25, MS-AIB ’26) noted how the program changes the way problems are approached:
“What surprised me most is how quickly the MS-AIB program reshapes the way you think. It’s not just about learning AI tools; it’s about learning to view problems as systems, identify patterns earlier, and challenge assumptions more effectively. The most impactful part has been developing a sharper, more structured decision-making mindset that applies immediately in real situations.”
Faculty members bring experience from both industry and academic AI research. Their expertise ensures that coursework reflects current practices and emerging trends. Through group projects, workshops, and data-driven case analysis, students gain insight into how AI operates inside real companies.
Alumnus Isaac-John Onwuamaegbu (BS Computer Information Systems ’24, MS-AIB ’25) described the effect of this applied learning approach:
“This hands-on approach has not only built my confidence but also prepared me to tackle complex challenges in my career. I was surprised by how everything we study is designed to prepare us for the complexities of the business technology world.”
Student Communities Exploring AI Applications
Learning about AI also extends beyond the classroom. The AI in Business Club at Arizona State University offers a space where students discuss new tools, industry developments, and ethical considerations surrounding AI.
Houston Holohan (BS Finance ’20, MBA ’25), one of the club’s co-founders, explained the purpose behind the initiative:
“AI represents a shift in how organizations do business. This club provides students with opportunities to learn how this technology is transforming traditional roles, hear from industry professionals, and participate in hands-on workshops with these tools.”
The club encourages students to examine both the opportunities and challenges associated with AI adoption. Workshops, industry talks, and collaborative sessions allow participants to test tools and share insights.
Co-founder Jen Marey (BS Finance/Accountancy ’19, MBA ’25) described how the group formed:
“We saw an opportunity for students to learn how to strategically apply this technology to business. We created the AI in Business Club to explore how it enhances efficiency and adaptability while fostering conversations about ethics, tools, and insights from industry leaders.”
These discussions help students strengthen professional networks while gaining a deeper understanding of AI’s role in modern organizations.
Flexible Learning Paths for AI Education

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Accessibility plays a significant role in the structure of the MS-AIB program. The program is available in several formats, allowing students with different schedules and career stages to participate.
The degree can be completed in person at Arizona State University’s Tempe campus or fully online. Additional locations may also host the program in the future. This structure allows participants from different states and professional backgrounds to pursue advanced AI education.
Professor Geoff Pofahl emphasized why widespread access to AI education matters:
“Never before in the history of humanity has it been as easy as it is today to learn about the very technology I’m talking about right now. The more people who are thinking about this, the more likely it is that we’re able to steer these developments in a productive, useful, human-compatible way.”
Students attending the Tempe campus program benefit from close collaboration with faculty members and classmates while using the university’s academic resources. An optional custom track allows deeper study in specialized areas such as financial technology, marketing analytics, or supply chain management.
The online MS-AIB program supports working professionals who wish to continue their careers while studying AI. The online curriculum mirrors the campus version and is taught by the same faculty. This format allows participants to apply concepts from coursework directly to their workplace challenges.
Another pathway starts with professional certificates. The Certificate in Artificial Intelligence in Business and the Certificate in Business Analytics, offered through W. P. Carey Executive Education, provide targeted instruction in machine learning and data analysis. Both programs are delivered online and focus on skills that can be used right away.
Credits from these certificates can later be applied toward the MS-AIB degree or other master’s and MBA programs at the school.
The Expanding Role of AI in Business
Artificial intelligence is increasingly woven into everyday business processes. Companies use machine learning to support hiring, manage logistics, evaluate risk, and refine customer engagement. As usage expands, organizations need individuals who can interpret both the strengths and the limitations of these systems. Data evaluation, ethical judgment, and awareness of broader impact have become critical competencies.
Findings from McKinsey and the World Economic Forum show that demand for professionals with both AI knowledge and business insight is growing. Programs such as the MS-AIB and the MBA concentration in AI at the W. P. Carey School of Business address this need by combining technical coursework with leadership training. Students engage with analytics, machine learning, and decision-making frameworks, alongside discussions about responsible AI use.
Students also gain hands-on experience through projects, research centers like the Center for AI and Data Analytics for Business and Society, and groups such as the AI in Business Club. These experiences provide exposure to current industry challenges.
As AI adoption continues to accelerate, professionals who balance technical understanding with responsible leadership will play a key role in shaping its use.