Comprehensive Methodology for Ranking TOP 10 AI Cities

To create a comprehensive ranking of the world's top artificial intelligence (AI) cities, we'll consider multiple factors that showcase a city's AI ecosystem, innovation, and talent pool. Here's a detailed breakdown of the criteria and methodology:

Criteria (100-point scale)

AI Research and Development 30 points

  • Number of AI research institutions and universities - 10 points
  • Quality of AI research output (citations, publications, patents) - 10 points
  • AI-related funding and grants - 5 points
  • Collaboration between academia and industry - 5 points

AI Talent Pool 25 points

  • Availability of skilled AI professionals - 10 points
  • AI-related education and training programs - 5 points
  • Diversity of AI talent - 5 points
  • Retention of AI talent - 5 points

AI Industry Presence 20 points

  • Number of AI startups and companies - 10 points
  • AI-related investment and funding - 5 points
  • Industry-specific AI applications - 5 points

Infrastructure and Support 15 points

  • Availability of AI-relevant infrastructure (data centers, cloud computing) - 5 points
  • Government support and initiatives for AI development - 5 points
  • Networking opportunities and AI-focused events - 5 points

Innovation and Ecosystem 10 points

  • AI-related innovation and entrepreneurship - 5 points
  • Collaboration between industry, academia, and government - 5 points

Methodology

1

Data Collection

Gather data from reputable sources, such as:

  • Research institutions and universities
  • AI-related publications and patents
  • Funding and investment reports
  • Industry reports and surveys
  • Government initiatives and policies
2

Weighting and Scoring

Assign weights to each criterion based on its relative importance. Score each city based on the collected data.

3

Normalization

Normalize scores to ensure comparability across cities.

4

Ranking

Calculate the overall score for each city and rank them accordingly.

AI City Ranking Evaluation Process

To create an AI city ranking and find the top 10 AI cities in the world for November 2025, evaluating them on a 100-point scale, you would need to define the key criteria that make a city attractive to the AI industry. Here are the main steps:

Define Evaluation Criteria

  • • AI Infrastructure: Availability of data centers, cloud services, and high-speed internet.
  • • Talent: Availability of specialists in AI, machine learning, and data analysis.
  • • Research and Development (R&D): Presence of research centers, universities, and innovative AI projects.
  • • Business Environment: Support for startups, tax incentives, and access to funding.
  • • Quality of Life: Cost of living, housing availability, and ecology.

Step-by-Step Process

1

Gather Data

  • Use open sources such as reports from research institutions, government data, and industry reports
  • Conduct surveys among experts and companies in the AI field
2

Assign Weights to the Criteria

Determine the importance of each criterion for the AI industry.

For example, infrastructure and talent might carry more weight than quality of life.

3

Evaluate the Cities

  • Collect data for each criterion for every city
  • Normalize the data so it fits the 100-point scale
4

Calculate the Overall Rating

  • Multiply the score for each criterion by its weight
  • Sum the results to get the overall rating for each city