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TechRadar
TechRadar
Ivo Ivanov

From AI boom to AI bottlenecks

A hand reaching out to touch a futuristic rendering of an AI processor.

We’re almost at the point where AI can no longer be simply defined as an emerging technology. It’s here, and it’s booming. According to McKinsey, more than 70% of companies worldwide have either already deployed AI-based technology, or are seriously exploring its capabilities. That’s up from just 20% in 2017. In the past year alone we’ve seen incredible advancements in the AI space, particularly when it comes to generative AI and the use of Large Language Models (LLMs) to compute, make predictions, generate content, and analyze large sets of data in real-time for a plethora of applications.

Studies by the likes of HubSpot and IBM reveal that AI can save employees roughly 2.5 hours per day, and businesses can cut their overall costs by almost a third. An entire ecosystem of partners and complementary services is now being formed around AI, and its reach isn’t just confined to business. ChatGPT users can now have live conversations with AI; Meta’s Llama 3.2 update allows its AI assistant to read and comment on images, and Apple Intelligence is about to leave beta and allow users to do everything from generate code to create new graphics, all with technology they can carry in their pockets.

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