Center for AI in Business

Anchored in Scheller College of Business at Georgia Tech, the Center for AI in Business connects faculty research, student talent, and industry practice. Our work prepares business leaders who design, deploy, and govern AI in organizations.

About the Center

We empowers students, faculty, and industry partners to harness the transformative potential of applied artificial intelligence.

The Center for AI in Business sits at the intersection of AI research, business education, and corporate practice. We connect 70+ Scheller faculty researchers, student talent, and industry partners. Our work produces graduates who can build, deploy, and govern AI in organizations, faculty research that directly informs corporate AI strategy, and partner deliverables that companies can act on.

Why This Matters Now

AI is reshaping how organizations compete, hire, and create value. Autonomous agents now plan, coordinate, and act inside live business workflows, and deployment is outpacing governance at most companies. The demand for business leaders who can design, deploy, and govern AI is rising faster than business schools can produce them.

The Center prepares Scheller graduates to meet that demand and partners with industry on the practical questions of AI adoption: what works, what fails, and what to measure.

Strategic Pillars

Education and Talent Development

Hands-on practicums, immersive crisis simulations, startup co-building, and the AI Fluency podcast series. Students engage with AI in ways that go well beyond the classroom. Our graduates do not just understand AI conceptually; they have built, deployed, and evaluated AI systems in real business contexts.

Research

Original, peer-reviewed faculty research across five priority areas that matter most to business right now: labor market disruption, autonomous AI agents and cybersecurity, context engineering, open-source AI economics, and return on AI and governance. Scheller's 70+ faculty researchers produce work that directly informs corporate AI strategy, not just academic discourse.

Industry Engagement and Community Impact

Faculty-industry advisory boards, annual prototyping competitions, and an applied AI showcase. The result is a feedback loop: industry surfaces the problems, faculty and students produce the research and prototypes, and partners receive deliverables they can act on.

Labor Market Disruption

AI is automating the entry-level tasks that used to build expertise, creating a widening experience gap. The strategic question for every employer: how do you build talent pipelines when junior roles are disappearing?

Autonomous AI Agents and Cybersecurity

AI agents now plan, coordinate, and act within live business workflows. Scaling beyond pilots remains the bottleneck. Security, compliance, and operationalization challenges persist, and deployment is outpacing governance.

Context Engineering

The progression beyond prompt writing to systematic context curation. What enters the model's context window determines output quality. Retrieval pipelines are formalizing into a discipline, and Scheller practicums function as context engineering labs.

Open-Source AI

Open-weight models are closing the gap with proprietary systems, giving enterprises new options for sovereignty, customization, and cost control. The build-versus-buy economics of AI are shifting fast, and business leaders need frameworks for when open-source is the right call.

Return on AI and Governance

Most generative AI pilots fail to deliver measurable ROI. The companies that succeed invest in infrastructure first, adopt deliberately, and measure rigorously. Governance and measurement discipline are becoming competitive differentiators.

The AI Imperative

By the Numbers

90%

Organizations that regularly use AI in their operations

21%

Growth in demand for AI professionals

109%

Growth in demand for skills that explicitly reference AI

Only 9%

Firms that have reached true AI maturity

Gloat

“At Scheller, I've seen firsthand how AI is being integrated into the curriculum through courses like "Machine Learning for Business" and "AI for Business". These courses provide hands-on experience with AI tools and teach us how to apply AI concepts to solve real-world business problems. With Atlanta emerging as the "Silicon Valley of the South," Georgia Tech's location offered unparalleled access to a thriving tech scene.”

– Analisa Wade
Full-time MBA ‘25 Product Marketing Manager, Microsoft