The AI Race Is Won at the Endpoint

By Bloomberg Media Studios

The enterprise AI wave has been gathering force for years, loudly and with extraordinary investment. But what the story often leaves out is the moment when the wave reaches shore: when the transformation arrives at the desk and, quietly and unceremoniously, stalls.

The endpoint is the device (the phone, laptop or workstation, for example) that connects an employee to the network. It’s the last mile of the AI journey, and, too often, the least considered. The most ambitious AI strategies can ride on just one question: Is the device built for AI and where it’s headed? 

The answer is falling to today’s IT leaders, who face mounting pressure from all directions. Operating with reduced budgets, they must evaluate AI’s costs, operational advantages and potential security risks. Cloud-based AI services are ubiquitous, but they carry their own downsides, including rising subscription fees, compliance requirements and the risks of sending sensitive data outside the building.

Refreshing employee devices is one of the most consequential AI decisions enterprises can make, and the platforms they choose can determine whether their AI strategies successfully make it to shore.

A device refresh is a critical AI decision

Organizations are rapidly moving toward AI PCs, which are designed to run AI at the endpoint, where the work actually happens. According to IDC, 81% of organizations are already deploying, piloting or planning AI PC adoption in the near term. 

As AI workloads move onto employee devices, CIOs are increasingly evaluating not just neural processing unit (NPU) performance, but how endpoints can be managed, secured and standardized, as with other enterprise systems, and whether the hardware platform underpinning them is built to last.

Organizations that have embraced AI PC adoption are already seeing the payoffs.

IT leaders are seeking solutions that justify the device refresh investment, perform reliably for every kind of worker and don't create security or management headaches for the IT team. AMD PRO is designed for exactly that, bringing together performance, multilayer security, manageability and platform consistency across business PCs. AI PCs advanced with AMD Ryzen AI PRO processors and AMD PRO capabilities extend that foundation for the AI era, adding local AI processing that is designed to reduce latency, help keep sensitive data on-device and scale across an entire workforce.

For IT teams, AMD PRO deployment, updates and device management work the same way regardless of processor configuration, enabling more standardized operations, fewer support tickets and a lower management burden at scale. The platform is built on x86 architecture, the same foundation that has powered business computing for decades, and is designed to work with the systems IT teams already rely on. 

That continuity matters for IT leaders planning refresh cycles across thousands of devices, giving them a more durable foundation for long-term AI adoption. As agentic AI workflows arrive, AMD PRO manageability gives IT the policy controls, remote management and recovery capabilities needed to govern endpoints at fleet scale.

From frozen screens to AI readiness

For today’s enterprises, a device refresh is much more than a routine IT decision.

Take 77 Bank, a regional financial institution headquartered in Miyagi Prefecture, Japan.

“Our old system would frequently freeze up when dealing with large volumes of documents and large amounts of data, which hindered our business operations,” says Hiroaki Soma, Chief Expert, Digital Development at 77 Bank.

Last year, the bank overhauled about 3,000 office automation (OA) client devices used at its various locations. It replaced the aging fleet with HP PCs equipped with AMD Ryzen PRO processors: mobile workstations for employees on the go, standard laptops for office staff and high-performance machines for those handling large volumes of data.

77 Bank quickly saw the results, including reduced PC breakdowns and malfunctions, and lower repair costs, according to Soma. “We use numerous ISV (independent software vendor) applications, and the AMD devices run them all without issue,” he says, noting that the bank has been able to reduce the number of devices it uses because they are versatile enough to run multiple enterprise applications on a single PC. 

“The AMD devices are providing excellent stability, availability and reliability,” says Michio Iwabuchi, Manager, Digital Development at 77 Bank. “Since the rollout, many people have mentioned the improved processing speeds, alleviating much stress for them.”

For 77 Bank, resolving today's operational problems was only part of the goal.

“Leveraging AI has become a top priority in order to further improve productivity,” says Iwabuchi. The devices the bank has deployed support critical AI workloads across the organization, such as evaluating loan applicants’ credit information. “AI can also pick up suspicious behavior and assist in fraud detection at a level imperceptible to humans,” he says.

Making the right device refresh decision is at the heart of 77 Bank’s digital transformation strategy, roadmapped through 2030, and AMD PRO processors provide the infrastructure that will support the bank’s needs into the future.

The next phase of enterprise AI

For enterprises ready to move from AI strategy to real outcomes, AMD Ryzen AI PRO processors add on-device capabilities to their PC fleet. These PCs are designed to run AI directly on the device, reducing the long-term cost of delivering AI to the workforce by keeping data local.

The first phase of enterprise AI has been defined by building capability. The next phase will be defined by distribution — by how effectively that capability reaches and enables the workforce. 

Winning the AI race may come down to governed endpoints: AI PCs that can run models locally while meeting security, manageability and lifecycle requirements. Agentic AI is here, and AMD PRO platforms are designed to deliver the foundation it requires.

For some enterprises, the endpoint is where things stall; for others, it’s where the race is won.

Explore enterprise AI PC solutions from AMD.