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AI Strategist

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The AI Strategist career role is one that many may not have heard of. As one of the more recently articulated roles, an AI Strategist is someone who will lead the charge in helping companies of all sizes to realize the potential of artificial intelligence. Their mission is to ensure that the organization's investment in AI technologies consistently aligns with overall business goals, customer needs, and company values.

Who Is an AI Strategist?

An AI Strategist will have a deep understanding of the technology behind AI and machine learning. They will also have a strong understanding of the business and industry in which they work. This expertise allows them to effectively lead their organization in developing and implementing strategies to most effectively use AI. Ultimately, they play a critical role in helping companies achieve their long-term goals.

How to Become an AI Strategist

With roots in both business and technology, this career path requires a solid understanding of both AI technologies and business principles. Many AI Strategists hold a bachelor's or master's degree in a related field, such as computer science, engineering, operations research, business, or a related field. AI Strategists who hold a master's degree will likely have higher earning potential and improved job security.

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The AI Strategist career role is one that many may not have heard of. As one of the more recently articulated roles, an AI Strategist is someone who will lead the charge in helping companies of all sizes to realize the potential of artificial intelligence. Their mission is to ensure that the organization's investment in AI technologies consistently aligns with overall business goals, customer needs, and company values.

Who Is an AI Strategist?

An AI Strategist will have a deep understanding of the technology behind AI and machine learning. They will also have a strong understanding of the business and industry in which they work. This expertise allows them to effectively lead their organization in developing and implementing strategies to most effectively use AI. Ultimately, they play a critical role in helping companies achieve their long-term goals.

How to Become an AI Strategist

With roots in both business and technology, this career path requires a solid understanding of both AI technologies and business principles. Many AI Strategists hold a bachelor's or master's degree in a related field, such as computer science, engineering, operations research, business, or a related field. AI Strategists who hold a master's degree will likely have higher earning potential and improved job security.

Beyond the classroom, the ability to demonstrate your experience with AI and machine learning tools and software through hands-on projects will also set you apart. As an AI Strategist, it will be essential for you to be proficient with technologies from giants in the field, such as Google, Microsoft, and Amazon.

Day-to-Day Responsibilities of an AI Strategist

AI Strategists must be able to effectively communicate both with technical and non-technical staff to ensure that everyone is working toward a common goal. Their day-to-day responsibilities include:

  • Developing and implementing AI strategies
  • Advising senior management on AI-related issues
  • Collaborating with cross-functional teams to integrate AI solutions
  • Monitoring and evaluating the performance of AI systems
  • Staying up-to-date on the latest AI trends and technologies

AI Strategist Career Prospects

The demand for AI Strategists is growing rapidly as businesses of all sizes realize the potential of AI. This growth is expected to continue in the years to come, as AI becomes an increasingly important part of our lives. AI Strategists who are able to demonstrate their skills and experience will be in high demand, with excellent job security and high earning potential.

AI Strategists with a strong understanding of business and technology will be well-positioned to advance their careers. They may move into senior management roles, such as Chief Technology Officer (CTO) or Chief Executive Officer (CEO).

Skills Needed as an AI Strategist

AI Strategists must be able to:

  • Think strategically about AI
  • Understand the business and industry in which they work
  • Communicate effectively with both technical and non-technical staff
  • Stay up-to-date on the latest AI trends and technologies

How Online Courses Can Help You Become an AI Strategist

There are many ways to learn about AI and machine learning online. Online courses offer AI beginners a great way to build a foundation in foundational skills, such as machine learning and deep learning. Online courses can also help you develop the skills that are in demand for a career as an AI strategist, such as problem-solving, critical thinking, and communication.

Online courses cover a variety of topics that relate to the field of AI including foundational topics, such as AI for Business: Generation & Prediction or more general courses, such as AI For Everyone. These courses provide you with the flexibility and convenience of learning on your own schedule and at your own pace.

Whether you are just starting out or you are looking to advance your career, online courses can be a valuable tool for your career development.

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Salaries for AI Strategist

City
Median
New York
$218,000
San Francisco
$215,000
Seattle
$190,000
See all salaries
City
Median
New York
$218,000
San Francisco
$215,000
Seattle
$190,000
Austin
$264,000
Toronto
$174,000
London
£134,000
Paris
€67,000
Berlin
€76,000
Tel Aviv
₪362,000
Singapore
S$185,000
Beijing
¥341,000
Shanghai
¥847,000
Shenzhen
¥642,000
Bengalaru
₹2,060,000
Delhi
₹614,000
Bars indicate relevance. All salaries presented are estimates. Completion of this course does not guarantee or imply job placement or career outcomes.

Path to AI Strategist

Reading list

We haven't picked any books for this reading list yet.
Provides a comprehensive overview of AI strategy, including how to develop an AI strategy, identify the right AI technologies, and measure the results of AI initiatives.
Classic textbook on AI, covering the basics of AI, as well as the different types of AI and their applications.
Comprehensive textbook on deep learning, covering the basics of deep learning, as well as the different types of deep learning models and their applications.
Provides a comprehensive overview of pattern recognition and machine learning, covering the basics of pattern recognition and machine learning, as well as the different types of pattern recognition and machine learning algorithms.
Practical guide to machine learning for engineers, covering the technical aspects of machine learning, as well as the challenges and opportunities of using machine learning in the real world.
Provides a probabilistic perspective on machine learning, covering the basics of probability theory, as well as how to apply probability theory to machine learning problems.
Focuses on the business value of AI and provides practical advice on how to use AI to improve decision-making, increase efficiency, and create new products and services.
Provides a hands-on guide to machine learning, covering the basics of machine learning, as well as how to build and train machine learning models using popular libraries such as Scikit-Learn, Keras, and TensorFlow.
Beginner-friendly guide to AI strategy, covering the basics of AI, how to develop an AI strategy, and how to implement AI in your organization.
Classic introduction to reinforcement learning, which type of machine learning that allows agents to learn how to behave in an environment by trial and error.
Focuses on computer vision, which type of AI that allows computers to see and interpret images and videos.
Focuses on the technical aspects of AI, specifically deep learning, and provides a hands-on guide to building and training deep learning models.
Focuses on natural language processing (NLP), which type of AI that allows computers to understand and generate human language.
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