“There’s No Law Of Physics That Says AI Has To Be Expensive,” IBM CEO Says Cost Of Training AI Is A ‘Challenge To Be Solved’

Recently, IBM CEO Arvind Krishna said there are no specified rules for artificial intelligence (AI) models to remain big and expensive.

IBM boss remarks AI models should be cost-effective

Arvind Krishna's comments come after Chinese startup DeepSeek’s cost-effective AI models have threatened the Silicon Valley tech giants who have been splurging huge money into designing and training their models.

“For too long, the AI race has been a game of scale where bigger models meant better outcomes. But there is no law of physics that dictates AI models must remain big and expensive. The cost of training and inference is just another technology challenge to be solved,” Krishna remarked on the social media platform, LinkedIn.

The IBM boss further said: “We’ve seen this play out before. In the early days of computing, storage and processing power were prohibitively expensive. Yet, through technological advancements and economies of scale, these costs plummeted. AI will follow the same path.”

Read Arvind Krishna's LinkedIn post here.

IBM’s revenue for 2024 stood at $62.8 billion, growing 3 per cent in constant currency.

“This is promising for businesses,” the CEO remarked. “Technology becomes truly transformative when it becomes more affordable. As more companies embrace this shift, we’ll see an AI landscape that is both more powerful and accessible.”

He concluded on a positive note for the entire ecosystem saying, “As more companies embrace this shift, we’ll see an AI landscape that is both more powerful and accessible.”

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