Why the AI trade could change in 2026

Key Concepts

• Hybrid AI: The deployment of AI solutions utilizing both cloud-based Large Language Models (LLMs) and on-premise/private data center infrastructure.
• AI Accelerators: Specialized hardware (GPUs, TPUs, etc.) designed to expedite AI and machine learning workloads. (Nvidia & AMD are key players)
• LLMs (Large Language Models): Powerful AI models capable of understanding and generating human-like text.
• AI Infrastructure Spending: Investment in hardware, software, and services required to support AI development and deployment.
• Cybersecurity & AI: The escalating arms race between attackers and defenders leveraging AI to enhance capabilities.

---

The Shift from AI Growth to Execution in 2026

The technology sector concluded 2025 with substantial gains largely attributed to increased spending on AI infrastructure. However, the focus is transitioning in 2026 from rapid growth to practical implementation, heightened competition, and risk management. This shift necessitates a deeper examination of how AI is being deployed and the supporting ecosystem.

The Rise of Hybrid AI

A dominant theme of the AI trade in 2025, and expected to continue gaining momentum in 2026, is the concept of “hybrid AI.” This refers to the combined utilization of cloud-based AI services – provided by major players like Google, Amazon, Microsoft, and Meta – alongside AI computing performed on-premise or within private data centers. Bob O’Donnell of Technalysis Research highlights that this hybrid approach represents a “huge long ramp of growth and opportunity” as businesses increasingly seek to deploy AI solutions tailored to their specific needs and data security requirements.

This trend is driving demand for servers from companies like Dell, HPE, and Cisco, which are incorporating AI accelerators – specifically chips from Nvidia and AMD – into their offerings. O’Donnell anticipates increased competition within the AI accelerator market in 2026, suggesting a diversification of hardware options beyond the current dominance of Nvidia. Crucially, the software built around this hardware is also a significant driver of new opportunities.

Infrastructure & Key Players

The discussion specifically identifies several key players benefiting from this trend:

• Cloud Providers: Google, Amazon, Microsoft, and Meta are leading the charge in providing cloud-based AI services and LLMs.
• Hardware Vendors: Dell, HPE, and Cisco are experiencing increased demand for servers equipped with AI accelerators.
• Chip Manufacturers: Nvidia and AMD are currently the primary suppliers of AI accelerator chips, with anticipated increased competition in 2026.

Cybersecurity Implications of AI

Looking ahead to 2026, cybersecurity is identified as a critical area of focus. The integration of AI is fundamentally altering the cybersecurity landscape, creating an escalating dynamic between attackers and defenders. O’Donnell notes that both sides are becoming “much smarter and much more capable because of AI.” This implies a need for continuous innovation and investment in AI-powered security solutions to counter increasingly sophisticated threats.

Logical Connections

The conversation establishes a clear connection between the initial surge in AI infrastructure spending and the subsequent emergence of hybrid AI. The need for businesses to control their data and customize AI solutions drives the demand for on-premise infrastructure, creating opportunities for hardware vendors and chip manufacturers. The discussion then logically extends to the cybersecurity implications of this evolving landscape, highlighting the need for AI-powered defenses to counter AI-enhanced attacks.

Synthesis/Conclusion

The key takeaway is that 2026 will be a year of execution and competition in the AI space. The initial wave of investment in AI infrastructure is giving way to a more nuanced focus on practical deployment, particularly through hybrid AI solutions. This shift will benefit a broader range of companies beyond the major cloud providers, and will necessitate a significant focus on cybersecurity as both attackers and defenders leverage the power of AI. The competition in AI accelerators is expected to intensify, offering more options for businesses seeking to build and deploy AI solutions.