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Artificial intelligence (AI)

How can you accelerate AI to advance both business and society?

With cognitive networks that are powered by AI

The AI revolution is underway and will profoundly change our lives and how we work. Many, if not most, companies, governments, and other organizations are investigating, testing, developing and using AI. It’s impossible to overstate the growing influence that AI will have. Years of research and development have made this technology ubiquitous. Institutions around the world are laying the groundwork to capitalize on its benefits. They are upskilling their workers, implementing experimental sandboxes and leveraging foundational models through APIs and open-source code.

A growing ecosystem of players continues to evolve as opportunities arise, such as AI-optimized chips, miniaturized hardware, machine learning operations (ML Ops) and software techniques to streamline model size and learning methods. AI-enabled apps and tools are accelerating and simplifying processes and jobs. For example, AI-enabled coding assistants like Codex, based on OpenAI's GPT-3, let software developers write code twice as fast. AI will automate complex processes, gain insights from data and improve customer experiences. If businesses ignore AI or adopt it too slowly, they risk falling behind as AI starts to dominate our world.

“It’s impossible to overstate the growing influence that AI will have.”
$7 trillion

Breakthroughs in generative AI have the potential to drive a $7 trillion increase in global GDP and lift productivity growth by 1.5 % over a 10-year period, according to Goldman Sachs Research.

$450 billion

ABI Research forecasts AI to contribute roughly $450 billion in value across various verticals by 2030.



97 million

According to the World Economic Forum, AI is projected to create around 97 million new jobs by 2025.

Service providers

Get the insights


  • Reevaluate prior automation scope based on new AI capabilities and establish a task force to look for ways that large language models and generative AI might disrupt your organization.
  • Study your existing data infrastructure and stay informed on which AI trends might advance your business objectives in the future. Create a robust company-wide data framework, infrastructure, and governance.
  • Deploy responsible, secure, and private AI-first network components and networks with ubiquitous cognition. Make them explainable, generative, and responsible by design.
  • Improve AI skills in your workforce and assess and implement value-added AI products to enhance productivity and processes within your business or organization.


What’s next?

We are embracing responsible AI as a fundamental technology in the development of our products and services, driven by strong research from Nokia Bell Labs over many years. Our proposed architecture for 2030 is based on ubiquitous cognition (AI), starting from the infrastructure layer all the way to network management and applications. We are keen to help you evolve your network infrastructure and operational capabilities to fully leverage the opportunities presented by AI to transform your businesses for future success.