Sabrina Ortiz/ZDNETThe artificial intelligence (AI) boom is transforming industries and reshaping work. Now, it’s setting its sights on a long-overlooked tool: your work laptop.The reach and capabilities of AI models go far beyond what people have seen from tinkering around with ChatGPT, which, although a great tool for proofreading or debugging code, only gives a brief glimpse into what large language models (LLMs), the technology powering tools like the chatbot, can do. Also: What is an AI PC exactly? And should you buy one in 2025?For instance, HCLTech, a consulting firm, worked with one of the largest end-to-end healthcare providers in the US to help implement a user-friendly, compliant AI clinical advisor. The clinical advisor, trained using one of the world’s largest clinical libraries, allows medical professionals to conversationally ask for the information they need to consult without wasting time digging for it. According to Alan Flower, EVP and head of AI & Cloud Native Labs at HCLTech, running the models locally on the device was key to effectively implementing this model.Also: Nvidia dominates in gen AI benchmarks, clobbering 2 rival AI chips”By using the clinician’s laptop, it frees up clinician time whilst also ensuring the privacy and security of the patient’s information,” said Flower. “It has that secondary advantage — it reduces the cost to run the solution since we’re not consuming expensive cloud tokens when we can use the neural processing unit on an AI PC, effectively, for free.” Flower said that since implementing the AI clinical advisor, within a typical 20-minute consultation with a doctor, the AI clinical advisor has freed up three minutes from the appointment, time the doctor can spend researching and focusing on the patient’s care. Also: With AI models clobbering every benchmark, it’s time for human evaluationCompanies are discovering that if they want to take full advantage of AI and run models locally, they need to upgrade their employees’ laptops. This realization has introduced a hardware revolution, with the desire to update tech shifting from an afterthought to a priority and attracting significant investment from companies. More