<p>It's been a wild few years for the microchip industry, recovering from a long-term supply squeeze only to be thrust into the centre of a US-China battle to control supply lines of the valuable technology.</p>.<p>But an industry long associated with volatility is quietly getting excited that artificial intelligence (AI) could be the key to some longer-term stability.</p>.<p>US firm Nvidia dominates the market in specialised chips known as GPUs, which happen to be ideal for training AI programmes like the wildly popular chatbot ChatGPT.</p>.<p>"Technology trends are working in Nvidia's direction," the firm's vice president Ronnie Vasishta told <em>AFP</em> this week at the Mobile World Congress (MWC) in Barcelona.</p>.<p><strong>Also Read | <a href="https://www.deccanherald.com/opinion/panorama/surgeons-must-push-for-robots-in-ots-1196022.html" target="_blank">Surgeons must push for robots in OTs</a></strong><br /><br />This has helped make Nvidia the biggest company in the sector -- and one of the biggest firms of any kind in the United States -- with a valuation of $580 billion.</p>.<p>Traditional rivals like Intel and Qualcomm are now on manoeuvres, desperate to make sure they do not miss out.</p>.<p>The tiny components, also known as semiconductors, are essential in everything from smartphones, PCs and electric cars to sophisticated weaponry, robotics and all other high-tech machinery.</p>.<p>AI already features heavily in all of these fields, and the advent of chatbots is only pushing it further into the public imagination.</p>.<p>Even in a sector where low-key engineers do the talking, the enthusiasm is palpable.</p>.<p>"The most exciting thing right now is AI," Cristiano Amon, boss of rival firm Qualcomm, told a Wall Street Journal event at the MWC.</p>.<p>He wants the world's phones to be tooled up with chips able to handle even the most tricky AI-related tasks, largely because Qualcomm leads the field in phone chips.</p>.<p>Vasishta is equally enthused.</p>.<p>"Where and how does AI get used? It's probably going to be easier to answer where is it not getting used," he said.</p>.<p>Another chip firm, the British-based Arm, is even further back in the production chain than Nvidia -- it provides the designs used by chip suppliers.</p>.<p>The firm's Chris Bergey told <em>AFP</em> there was massive potential with AI.</p>.<p>The kind of chips Nvidia produces are great for training AI models in data centres, he said, but smartphones need chips that can act based on those models.</p>.<p>"It's a huge opportunity and it's ubiquitous," he said.</p>.<p>He compares the AI revolution to the onset of apps, which appeared about 15 years ago and rapidly changed the way we used technology.</p>.<p>"Definitely AI is something that has a lot of interesting applications and we're still scratching the surface of where we'll go."</p>.<p>Yet, with chips, nothing is straightforward.</p>.<p>The supply chain is fiendishly complex -- consulting firm Accenture reckons a chip crosses borders 70 times before it ends up in a phone, camera or car.</p>.<p>Countries like China and the United States would prefer to have greater control.</p>.<p>And there is an added problem: the factories that make most of the world's chips are in Taiwan, a self-ruled island that China claims.</p>.<p>This could bring China and the United States into direct conflict.</p>.<p>Mild-mannered as ever, semiconductor executives will not be drawn into discussions on these issues.</p>.<p>"We don't have really a position on the geopolitics, we comply with all the US regulations that are required as a US company," said Vasishta.</p>.<p>Bergey, who has spent 25 years in the industry, said he had seen chips lurch from being "very cool" to "very boring".</p>.<p>"They're cool right now, perhaps too cool with too much attention," he said.</p>.<p>"It's a dynamic thing the industry is dealing with and we'll have to see how these things play out."</p>
<p>It's been a wild few years for the microchip industry, recovering from a long-term supply squeeze only to be thrust into the centre of a US-China battle to control supply lines of the valuable technology.</p>.<p>But an industry long associated with volatility is quietly getting excited that artificial intelligence (AI) could be the key to some longer-term stability.</p>.<p>US firm Nvidia dominates the market in specialised chips known as GPUs, which happen to be ideal for training AI programmes like the wildly popular chatbot ChatGPT.</p>.<p>"Technology trends are working in Nvidia's direction," the firm's vice president Ronnie Vasishta told <em>AFP</em> this week at the Mobile World Congress (MWC) in Barcelona.</p>.<p><strong>Also Read | <a href="https://www.deccanherald.com/opinion/panorama/surgeons-must-push-for-robots-in-ots-1196022.html" target="_blank">Surgeons must push for robots in OTs</a></strong><br /><br />This has helped make Nvidia the biggest company in the sector -- and one of the biggest firms of any kind in the United States -- with a valuation of $580 billion.</p>.<p>Traditional rivals like Intel and Qualcomm are now on manoeuvres, desperate to make sure they do not miss out.</p>.<p>The tiny components, also known as semiconductors, are essential in everything from smartphones, PCs and electric cars to sophisticated weaponry, robotics and all other high-tech machinery.</p>.<p>AI already features heavily in all of these fields, and the advent of chatbots is only pushing it further into the public imagination.</p>.<p>Even in a sector where low-key engineers do the talking, the enthusiasm is palpable.</p>.<p>"The most exciting thing right now is AI," Cristiano Amon, boss of rival firm Qualcomm, told a Wall Street Journal event at the MWC.</p>.<p>He wants the world's phones to be tooled up with chips able to handle even the most tricky AI-related tasks, largely because Qualcomm leads the field in phone chips.</p>.<p>Vasishta is equally enthused.</p>.<p>"Where and how does AI get used? It's probably going to be easier to answer where is it not getting used," he said.</p>.<p>Another chip firm, the British-based Arm, is even further back in the production chain than Nvidia -- it provides the designs used by chip suppliers.</p>.<p>The firm's Chris Bergey told <em>AFP</em> there was massive potential with AI.</p>.<p>The kind of chips Nvidia produces are great for training AI models in data centres, he said, but smartphones need chips that can act based on those models.</p>.<p>"It's a huge opportunity and it's ubiquitous," he said.</p>.<p>He compares the AI revolution to the onset of apps, which appeared about 15 years ago and rapidly changed the way we used technology.</p>.<p>"Definitely AI is something that has a lot of interesting applications and we're still scratching the surface of where we'll go."</p>.<p>Yet, with chips, nothing is straightforward.</p>.<p>The supply chain is fiendishly complex -- consulting firm Accenture reckons a chip crosses borders 70 times before it ends up in a phone, camera or car.</p>.<p>Countries like China and the United States would prefer to have greater control.</p>.<p>And there is an added problem: the factories that make most of the world's chips are in Taiwan, a self-ruled island that China claims.</p>.<p>This could bring China and the United States into direct conflict.</p>.<p>Mild-mannered as ever, semiconductor executives will not be drawn into discussions on these issues.</p>.<p>"We don't have really a position on the geopolitics, we comply with all the US regulations that are required as a US company," said Vasishta.</p>.<p>Bergey, who has spent 25 years in the industry, said he had seen chips lurch from being "very cool" to "very boring".</p>.<p>"They're cool right now, perhaps too cool with too much attention," he said.</p>.<p>"It's a dynamic thing the industry is dealing with and we'll have to see how these things play out."</p>