Could AI spark a hardware renaissance?

The landscape of hardware, operating systems (OS) and software has undergone a seismic shift over the past few decades. Hardware has evolved from an era dominated by hefty, purpose-built machines to the sleek, cloud-connected devices of today. The focus has steadily shifted towards performance, connectivity, flexibility, power efficiency, and cost-effectiveness. However, the tides of innovation may be poised to turn yet again.

As artificial intelligence (AI) emerges as a defining force in technology, the demands of resource-intensive AI processes are reigniting interest in powerful, advanced hardware - even dedicated AI chips. This evolution suggests a full-circle moment in the history of IT, where the spotlight returns to the critical role of computing power and hardware innovation in driving the next wave of technological progress.

For businesses navigating these changes, understanding the cyclical nature of IT hardware and software evolution is crucial for staying ahead. In a competitive market, AI can give the competitive edge - upping the game for many industries. Do you plan to be using AI and if so, have you considered the best hardware to maximise value?

From large machines to streamlined solutions

In the early days of computing, hardware was expensive and large, often reserved for accounting departments or niche functions. IBM machines, while reliable and efficient, came with a hefty price tag. Desktops with large CRT screens were the norm and businesses invested heavily in support and warranties to ensure continuity. Selecting the correct and standardised hardware allowed IT teams to streamline support and optimise budgets.

As technology advanced, desktops gave way to laptops, and consumer devices became increasingly prominent i.e. phones and tablets. This shift brought flexibility and convenience, but it also introduced challenges like asset lifecycle management. Companies often consider providing personnel with a set budget and allowing them to purchase their own computer and adopt a BYOD (Bring Your Own Device) approach, with the hope of reducing overall costs. This is often more complicated on several levels - not just in terms of cost. However, for some, this might be an ideal solution.

The rise of the cloud: redefining hardware’s role

The advent of the cloud has and will continue to redefine technology, including the role of devices. Today, devices are often the portal to cloud-based apps and data, making the OS and local processing power less relevant with the focus being on running a browser. ChromeOS Flex, for example, is designed to run a browser for the purpose of accessing website cloud solutions, significantly reducing the need for high-performing hardware.

These lightweight, power-efficient, low-cost devices are ideal for schools, charities, and some businesses looking for a simpler, low-cost solution.

Late last year, reliable rumours surfaced that Google planned to merge their ChromeOS Flex into Android. This move reflects an effort to resolve the overlap between their two OS offerings, particularly in the tablet and productivity sectors. By consolidating its platforms, Google is likely looking to streamline its ecosystem and deliver a more unified and cohesive experience across all device types while reducing their development and operational costs.

Bring Your Own Device (BYOD) and the shift to independence

One of the most notable trends is the rise of BYOD. Allowing employees to securely connect to cloud apps and data, businesses can reduce support costs and focus on centralised data security rather than hardware management and support. Cross-platform compatibility ensures seamless integration, regardless of the device’s hardware or OS.

Adding to this independence is Samsung’s DeX, which transforms Samsung Galaxy phones into desktop-like environments when connected to an external display, keyboard and mouse. This innovation highlights the growing versatility of mobile devices, further blurring the lines between traditional computers and phones. Now Snapdragon devices are venturing into this space, which is likely to move things forward quickly.

Sustainability and repurposing: breathing new life into old devices

As the IT industry grapples with sustainability challenges, technology that offers a second life to older PCs and Macs by replacing their existing OSs has gained traction. This not only reduces waste, but also provides affordable computing options for schools, non-profits and emerging economies.

ARM - the long-standing UK-based chipmaker - has historically been considered the underdog to Intel. But ARM has attracted mainstream attention due to its eco-friendly credentials. Its energy-efficient chips generate less heat and consume less power, making them an attractive option in a world increasingly focused on sustainability. Major companies like Microsoft are now serious about actively exploring ARM compatibility to improve energy efficiency and reduce environmental impact. A notable example is Microsoft’s recent business-ready release of Windows 11 for ARM.

Outsourcing asset lifecycle management for predictable IT costs

Outsourcing asset lifecycle management has become the norm for many enterprises. Leasing devices simplifies processes, providing predictable costs and efficient device turnover. It’s often a popular option because tasks such as refresh, delivery, collection, disposal and recycling can be bundled into a single, predictable annual fee.

The big melting pot: a converging IT landscape

Today’s IT client environment is a melting pot, where almost everything can run on almost anything. Microsoft apps operate on Apple devices, Chromebooks with just a browser, and mobile devices transform into desktops. This convergence is driven by necessity; businesses and developers recognise that cross-platform compatibility is key to long-term survival in a competitive market.

Looking ahead: The role of AI in IT hardware

The next frontier in IT will be shaped by artificial intelligence (AI). AI is notoriously resource-intensive, requiring significant computing power and advanced hardware capabilities. That power will either need to be run from the cloud, on the device or balanced between both.

Had Microsoft’s AI Copilot reached its initial goals of AI dominance, there would likely have been a surge in demand for devices equipped with Copilot AI chips, such as laptops from Acer, ASUS, Dell, HP, Lenovo, Samsung, and Microsoft Surface. These devices are powered by a neural processing unit (NPU) and a compatible processor or system on a chip (SoC). As AI evolves, it’s likely to influence hardware requirements, pushing for devices to provide the balance between high performance and energy efficiency.

While hardware has largely taken a back seat in the cloud-driven world, the unique demands of AI could revive its importance. More powerful devices may once again take centre stage in supporting local AI workloads, even as cloud-based solutions continue to dominate.

Stay ahead of the curve with adaptable IT solutions

As the lines between hardware, OS, browsers and apps continue to blur, adaptability is key. Staying ahead means embracing flexibility and innovation, adapting to change and leveraging the correct technologies for the right purpose.