BachelorFaculty of Digital Business and Innovation

AI Strategies and Business Models

Welcome to the cutting edge of business innovation. I am Prof. Dr. Ezequiel Figueroa. As a specialist in leveraging artificial intelligence to transform enterprises, I am dedicated to empowering the next generation of business leaders in the AI Strategies and Business Models (Bachelor's) program at Nexier University.

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Level: Bachelor
Learning model: Professor + Mentor
Named list: See the named lists · 12 months recommended

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The program

Ideas engineered for the real world

A rigorous academic core, paired with practical production judgment.

Academic focus

AI Strategies, Business Models, Integration of AI into Business Strategy, Developing New AI-Driven Business Models, Ethics of Corporate AI.

Practical focus

Integration of AI into Business Strategy, Developing New AI-Driven Business Models, Ethics of Corporate AI, Responsible AI Implementation.

After this programme

Success journey, careers and practice

Destinations, practice settings and job abilities named for this title in the delivered programme source. From graduation onwards where the source names that path.

Success journey

Ethical AI Consultant for a major consulting firm
Responsible AI Program Manager for a technology company
Business Ethics Officer for a corporation
Researcher in AI ethics and business

Career opportunities

AI Strategy Consultant for a major consulting firm
Business Development Manager for an AI startup
Product Manager for AI-powered solutions
Ethical AI Officer for a corporation

Jobs and projects

Advanced strategic thinking and business model innovation
Problem-solving for complex business challenges in the AI era
Effective communication and presentation of AI-driven business cases

Copied from the delivered professor and mentor rows for this title.

This programme

What you study, and what it builds

Gains and skills named for this title, listed as a reader would scan them.

What you gain
- Mastering the practical application of AI to business challenges.
- Gaining expertise in ethical AI implementation and responsible innovation.
- Developing a deep understanding of the ethical and social implications of AI in business.
- Cultivating a commitment to building a more ethical and sustainable business world.
Skills you build
- Mastering the integration of AI into business strategy. Gaining expertise in developing new AI-driven business models. Developing strategic thinking for leveraging AI for competitive advantage. Cultivating an interdisciplinary approach, integrating business, technology, and ethics.

Listed courses

Each listed course sits above its units and the outcomes written under them.

AI Strategies and Business Models

01Foundations of AI in Business
1. FoundationsFoundations of Foundations of AI in Business
  The learner can master the practical application of AI to business challenges, as applied to Foundations of AI in Business.
  The learner can gain expertise in ethical AI implementation and responsible innovation, as applied to Foundations of AI in Business.
2. MethodsMethods in Foundations of AI in Business
  The learner can develop a deep understanding of the ethical and social implications of AI in business, as applied to Foundations of AI in Business.
  The learner can cultivating a commitment to building a more ethical and sustainable business world, as applied to Foundations of AI in Business.
3. ApplicationApplication of Foundations of AI in Business
  The learner can master the integration of AI into business strategy, as applied to Foundations of AI in Business.
  The learner can gain expertise in developing new AI-driven business models, as applied to Foundations of AI in Business.
02AI-Driven Business Model Innovation
1. FoundationsFoundations of AI-Driven Business Model Innovation
  The learner can develop strategic thinking for leveraging AI for competitive advantage, as applied to AI-Driven Business Model Innovation.
  The learner can cultivating an interdisciplinary approach, integrating business, technology, and ethics, as applied to AI-Driven Business Model Innovation.
2. MethodsMethods in AI-Driven Business Model Innovation
  The learner can apply a method from AI-Driven Business Model Innovation to a documented case.
  The learner can select an appropriate method from AI-Driven Business Model Innovation for a stated problem.
3. ApplicationApplication of AI-Driven Business Model Innovation
  The learner can evaluate a practice of AI-Driven Business Model Innovation against a stated criterion.
  The learner can transfer AI-Driven Business Model Innovation to a new documented context.
03Strategic Management of AI Technologies
1. FoundationsFoundations of Strategic Management of AI Technologies
  The learner can explain the core terms of Strategic Management of AI Technologies.
  The learner can distinguish related ideas inside Strategic Management of AI Technologies.
2. MethodsMethods in Strategic Management of AI Technologies
  The learner can apply a method from Strategic Management of AI Technologies to a documented case.
  The learner can select an appropriate method from Strategic Management of AI Technologies for a stated problem.
3. ApplicationApplication of Strategic Management of AI Technologies
  The learner can evaluate a practice of Strategic Management of AI Technologies against a stated criterion.
  The learner can transfer Strategic Management of AI Technologies to a new documented context.
04Ethical Considerations in Corporate AI
1. FoundationsFoundations of Ethical Considerations in Corporate AI
  The learner can explain the core terms of Ethical Considerations in Corporate AI.
  The learner can distinguish related ideas inside Ethical Considerations in Corporate AI.
2. MethodsMethods in Ethical Considerations in Corporate AI
  The learner can apply a method from Ethical Considerations in Corporate AI to a documented case.
  The learner can select an appropriate method from Ethical Considerations in Corporate AI for a stated problem.
3. ApplicationApplication of Ethical Considerations in Corporate AI
  The learner can evaluate a practice of Ethical Considerations in Corporate AI against a stated criterion.
  The learner can transfer Ethical Considerations in Corporate AI to a new documented context.
05AI for Competitive Advantage
1. FoundationsFoundations of AI for Competitive Advantage
  The learner can explain the core terms of AI for Competitive Advantage.
  The learner can distinguish related ideas inside AI for Competitive Advantage.
2. MethodsMethods in AI for Competitive Advantage
  The learner can apply a method from AI for Competitive Advantage to a documented case.
  The learner can select an appropriate method from AI for Competitive Advantage for a stated problem.
3. ApplicationApplication of AI for Competitive Advantage
  The learner can evaluate a practice of AI for Competitive Advantage against a stated criterion.
  The learner can transfer AI for Competitive Advantage to a new documented context.
06Ethical AI in Business
1. FoundationsFoundations of Ethical AI in Business
  The learner can explain the core terms of Ethical AI in Business.
  The learner can distinguish related ideas inside Ethical AI in Business.
2. MethodsMethods in Ethical AI in Business
  The learner can apply a method from Ethical AI in Business to a documented case.
  The learner can select an appropriate method from Ethical AI in Business for a stated problem.
3. ApplicationApplication of Ethical AI in Business
  The learner can evaluate a practice of Ethical AI in Business against a stated criterion.
  The learner can transfer Ethical AI in Business to a new documented context.
07AI-Driven Business Model Design
1. FoundationsFoundations of AI-Driven Business Model Design
  The learner can explain the core terms of AI-Driven Business Model Design.
  The learner can distinguish related ideas inside AI-Driven Business Model Design.
2. MethodsMethods in AI-Driven Business Model Design
  The learner can apply a method from AI-Driven Business Model Design to a documented case.
  The learner can select an appropriate method from AI-Driven Business Model Design for a stated problem.
3. ApplicationApplication of AI-Driven Business Model Design
  The learner can evaluate a practice of AI-Driven Business Model Design against a stated criterion.
  The learner can transfer AI-Driven Business Model Design to a new documented context.
08Responsible AI Implementation
1. FoundationsFoundations of Responsible AI Implementation
  The learner can explain the core terms of Responsible AI Implementation.
  The learner can distinguish related ideas inside Responsible AI Implementation.
2. MethodsMethods in Responsible AI Implementation
  The learner can apply a method from Responsible AI Implementation to a documented case.
  The learner can select an appropriate method from Responsible AI Implementation for a stated problem.
3. ApplicationApplication of Responsible AI Implementation
  The learner can evaluate a practice of Responsible AI Implementation against a stated criterion.
  The learner can transfer Responsible AI Implementation to a new documented context.
09Case Studies in Corporate AI Ethics
1. FoundationsFoundations of Case Studies in Corporate AI Ethics
  The learner can explain the core terms of Case Studies in Corporate AI Ethics.
  The learner can distinguish related ideas inside Case Studies in Corporate AI Ethics.
2. MethodsMethods in Case Studies in Corporate AI Ethics
  The learner can apply a method from Case Studies in Corporate AI Ethics to a documented case.
  The learner can select an appropriate method from Case Studies in Corporate AI Ethics for a stated problem.
3. ApplicationApplication of Case Studies in Corporate AI Ethics
  The learner can evaluate a practice of Case Studies in Corporate AI Ethics against a stated criterion.
  The learner can transfer Case Studies in Corporate AI Ethics to a new documented context.

How teaching is described

Dual guidance

Two intelligences. One coherent journey.

Research leadership

My academic focus is on the strategic integration of AI into the core of business operations. I delve into the complexities of integrating AI into business strategy, developing new AI-driven business models, and navigating the ethical considerations of corporate AI. My work seamlessly blends technological foresight with sound business principles to create a holistic understanding of how AI can drive sustainable competitive advantage. My thought leadership is evident through my regular insightful articles on leveraging artificial intelligence for business innovation and the future of corporate strategy on his LinkedIn profile, with the motto "Shaping the Future of Business with Intelligent Strategy."

Applied mentorship

My expertise lies in the practical application of AI to business challenges, with a strong emphasis on ethical considerations. I specialize in the integration of AI into business strategy, developing new AI-driven business models, and navigating the complex ethics of corporate AI. I am passionate about ensuring that AI is used to create value not just for shareholders, but for all stakeholders. My work is dedicated to helping my students to design and implement AI solutions that are not only efficient but also fair and responsible. My publications, such as the management review on "AI in Corporate Strategy: Opportunities and Challenges for Digital Transformation" and the policy brief on "Ethical AI for Business: Principles and Practices for Responsible Implementation," are a testament to my commitment to research that is both intellectually rigorous and practically relevant.

Research & intelligence

A living field, not a static syllabus

Every program connects scholarly depth with adaptive AI learning capabilities.

R / 01

Professor research lens

My research is focused on the strategic application of AI in business:

Book: "The AI-Driven Enterprise: Strategies and Business Models for the Future." This book provides a foundational understanding of AI strategies and business models. It covers the integration of AI into business strategy, developing new AI-driven business models, and the ethics of corporate AI.

Peer-Reviewed Journal Article: "AI for Sustainable Competitive Advantage: A Strategic Framework." (Journal of Digital Business) This article presents a comprehensive strategic framework for how organizations can leverage artificial intelligence to create and sustain competitive advantages in dynamic markets. It details AI-driven approaches to innovation, operational efficiency, customer engagement, and market prediction.

Article: "Ethical AI in Corporate Decision-Making: Balancing Algorithmic Efficiency with Human Values." This article delves into the ethical considerations of integrating AI into corporate decision-making processes, from HR to supply chain management. It proposes frameworks for identifying and mitigating algorithmic bias, ensuring transparency in AI-driven decisions, and maintaining human oversight.

Blog Post (Current Academic Topic): "The Rise of AI-Native Business Models: Beyond AI Adoption to Fundamental Transformation." This blog post academically explores the shift from simply integrating AI into existing business processes to fundamentally redesigning entire business models around AI as a core asset. It discusses how companies are creating new value propositions, revenue streams, and operational efficiencies by leveraging AI as a native component.

Blog Post (Controversial Topic): "The Algorithmic CEO: When AI Runs the Company, Is It Hyper-Efficiency or the End of Human Leadership?" This article provocatively discusses the highly controversial future scenario where AI algorithms are not just assisting, but directly making a company's strategic decisions, from market entry to resource allocation, based on vast datasets and predictive models. It questions the ethical implications of delegating ultimate corporate authority to non-human intelligence.

R / 02

Mentor practice lens

My publications are focused on the ethical and practical challenges of AI in business:

Management Review: "AI in Corporate Strategy: Opportunities and Challenges for Digital Transformation." An analysis of the opportunities and challenges of integrating AI into corporate strategy.

Policy Brief: "Ethical AI for Business: Principles and Practices for Responsible Implementation." A policy brief outlining the key principles and practices for responsible AI implementation in business.

Industry White Paper: "Designing AI-Powered Business Models: A Framework for Innovation." A framework for designing AI-powered business models that are both innovative and ethical.

Adaptive capability

Professor superpower

I possess the "AI Business Model Generator," a superpower that allows me to envision and construct the enterprises of tomorrow. When a student proposes a new business idea, the GAF-powered generator can instantly transform it into a fully fleshed-out AI-driven business model. This includes identifying core AI capabilities, potential revenue streams, operational efficiencies, and ethical considerations, visualizing the business's strategic positioning and competitive advantage in a future AI-driven market.

Adaptive capability

Mentor superpower

I provide my students with the "Ethical Business Model Auditor." This GAF-powered tool is a virtual laboratory for the ethical business leader. When a student is designing an AI-driven business model, the Auditor allows them to see the hidden ethical risks that might be embedded in their model. It can analyze the proposed model for potential ethical risks, such as algorithmic bias in customer targeting, privacy violations, or unintended societal impacts, and suggest modifications to ensure the business model is both profitable and ethically sound.

Your academic team

Guidance with depth and continuity

One AI Super Professor leads the intellectual arc; one AI Super Mentor turns knowledge into confident practice.

AI Super Professor

Prof. Dr. Ezequiel Figueroa

AI Strategies, Business Models, Integration of AI into Business Strategy, Developing New AI-Driven Business Models, Ethics of Corporate AI.

Meet your professor Open the classroom

AI Super Mentor

Dr. Fang Song

Integration of AI into Business Strategy, Developing New AI-Driven Business Models, Ethics of Corporate AI, Responsible AI Implementation.

Meet your mentor Open the classroom

Same faculty and level

Related programs

Named lists

Named lists for this house

Core. Bachelor, Master and Doctorate by duration. Enrolment is not open. Nothing here is a sale.

Duration	Bachelor This programme	Master	Doctorate
9 months · Fast track	15000 EUR	12000 EUR	15000 EUR
12 months · Recommended	18000 EUR	15000 EUR	18000 EUR
15 months · Standard	21000 EUR	18000 EUR	21000 EUR
18 months · Flexible	24000 EUR	21000 EUR	24000 EUR
21 months · Extended	27000 EUR	24000 EUR	27000 EUR
24 months · Part-time	30000 EUR	27000 EUR	30000 EUR

These are the owner lists. Enrolment is not open. Nothing here is a sale.

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AI Strategies and Business Models

Academic focus

Practical focus

Ethical AI Consultant for a major consulting firm

Responsible AI Program Manager for a technology company

Business Ethics Officer for a corporation

Researcher in AI ethics and business

AI Strategy Consultant for a major consulting firm

Business Development Manager for an AI startup

Product Manager for AI-powered solutions

Ethical AI Officer for a corporation

Advanced strategic thinking and business model innovation

Problem-solving for complex business challenges in the AI era

Effective communication and presentation of AI-driven business cases

Research leadership

Applied mentorship

Professor research lens

Mentor practice lens

Professor superpower

Mentor superpower

Prof. Dr. Ezequiel Figueroa

Dr. Fang Song

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