Conceptual illustration of 7 glasslike panels floating over a grid. The panels transition from dark to light blue and 2 pink lines weave past the panels and pink dots float around the grid.

Were in the midst of a revolution. Just as steam power, mechanized engines, and coal supply chains transformed the world in the 18th century, AI technology is currently changing the face of work, our economies, and society as we know it. We dont know exactly what the future will look like. But we do know that these seven technologies will play a big role.

0

countries

currently have national AI strategies

0

the year

AI capabilities will rival humans

$0.4 trillion

annually

gen AI could add to the global economy

Artificial intelligence is a machines ability to perform some cognitive functions we usually associate with human minds.

Generative artificial intelligence (AI) describes algorithms (such as ChatGPT) that can be used to create new content, including audio, code, images, text, simulations, and videos. Recent breakthroughs in the field have the potential to drastically change the way we approach content creation.

Artificial general intelligence (AGI) is a theoretical AI system with capabilities that rival those of a human. Many researchers believe we are still decades, if not centuries, away from achieving AGI.

Deep learning is a type of machine learning that is more capable, autonomous, and accurate than traditional machine learning.

Prompt engineering is the practice of designing inputs for AI tools that will produce optimal outputs.

Machine learning is a form of artificial intelligence that is able to learn without explicit programming by a human.

Tokenization is the process of creating a digital representation of a real thing. Tokenization can be used to protect sensitive data or to efficiently process large amounts of data.

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What's the future of AI? | McKinsey - McKinsey