AI Hardware Gets Practical, Wi‑Fi 7 Accelerates, and Infrastructure Costs Rise
September sees the IT hardware industry moving beyond AI hype and into large-scale business adoption. Organisations are investing in AI-ready PCs, upgrading wireless infrastructure, and reviewing server strategies as demand for AI computing continues to drive both innovation and costs across the sector.
💻 AI PCs Become a Business Essential
Throughout 2026, AI-capable laptops and desktops have gone from “nice to have” to a key consideration in hardware refresh projects.
Research shows that businesses are increasingly deploying AI PCs to support productivity, security, and AI-powered workflows. More than 80% of organisations are already planning, piloting, or deploying AI PCs, while many report improved performance and productivity through on-device AI processing. [amd.com]
Businesses are looking for:
- Faster AI-assisted workflows
- Improved data security through local processing
- Better battery life and efficiency
- Hardware ready for future AI applications
The message is clear: when replacing PCs in 2026, AI readiness should be part of the conversation. [amd.com], [computerworld.com]
🌐 Wi‑Fi 7 Adoption Continues to Accelerate
Wi‑Fi 7 is rapidly becoming the new standard for business wireless networks.
Industry figures show Wi‑Fi 7 now accounts for almost half of enterprise wireless access point revenue, making it the fastest enterprise Wi‑Fi transition in recent years. Businesses are upgrading to take advantage of:
- Higher throughput
- Lower latency
- Multi-Link Operation (MLO)
- Better support for AI-powered applications
- Improved performance in high-density office environments
For businesses planning office moves, refurbishments, or network refreshes, Wi‑Fi 7 should be a serious consideration. [idc.com], [axis-intel…igence.com]
🖥️ AI Infrastructure Shifts Focus to Power and Efficiency
One of the most significant trends in September is the growing focus on power, cooling, and infrastructure efficiency.
The biggest challenge facing many data centres is no longer acquiring hardware. Instead, organisations are finding that power availability, cooling capacity, and networking infrastructure are becoming critical bottlenecks. Infrastructure vendors are increasingly focusing on complete solutions rather than simply delivering faster processors or GPUs. [datacenter…wledge.com], [ftcelectronics.com]
Key developments include:
- Increased deployment of liquid cooling technologies
- Greater emphasis on network capacity
- Focus on rack-scale AI infrastructure
- Investment in energy-efficient server platforms
These changes are likely to influence enterprise infrastructure projects throughout 2027. [datacenter…wledge.com], [ftcelectronics.com]
📍 Edge AI Continues Its Rapid Growth
Another growing trend is the shift towards Edge AI.
Rather than sending every request to the cloud, businesses are increasingly processing AI workloads on local devices, industrial systems, cameras, and PCs. The benefits include:
- Faster response times
- Reduced cloud costs
- Improved privacy
- Greater resilience when internet connectivity is limited
This approach is becoming particularly important in manufacturing, healthcare, logistics, and professional services. [n-ix.com], [opd-design.com]
As AI software improves, expect to see more intelligence running directly on devices rather than exclusively in cloud platforms. [thetechtrep.com], [appscale.blog]
📈 Market Watch: Rising Memory and Server Costs
Hardware budgets continue to face pressure from rising component costs.
Recent reports suggest memory pricing remains one of the biggest challenges for organisations investing in AI infrastructure. Demand for DRAM, SSD storage, and AI server components is pushing prices higher and affecting budget planning across the industry. [sdxcentral.com], [ad-hoc-news.de]
Businesses planning:
- Server upgrades
- Storage refreshes
- Virtualisation projects
- AI deployments
should continue to review budgets carefully and plan procurement well in advance. [sdxcentral.com], [learn.oreateai.com]
💡 What This Means for Your Business
September’s hardware landscape highlights three priorities:
- Plan for AI-ready devices during your next PC refresh.
- Review network infrastructure and consider Wi‑Fi 7 migration.
- Budget carefully for server and infrastructure projects as component costs remain volatile.
Businesses that take a strategic approach to hardware investment today will be better positioned to adopt future AI technologies while maintaining security, performance, and productivity.
✅ ICT Ltd Recommendation
As we approach the final quarter of 2026, now is the perfect time to review your technology roadmap for 2027.
Consider assessing:
- Ageing laptops and desktops
- Wireless network performance
- Server and storage capacity
- AI readiness across your organisation
ICT Ltd can help you evaluate your current infrastructure and build a practical upgrade plan that supports future growth.