Semiconductors, Supply Chain, & Emerging Tech

Powering Innovation: Semiconductors, Supply Chain Strategy, and Emerging Tech Trends

Semiconductors have created a technology super-cycle powering the AI revolution. The industry is on pace to approach  $1 trillion in revenue in 2026, marking a third consecutive year of elevated growth driven by AI training, inference, and new  classes of intelligent systems. The semiconductor industry now spans a deeply interdependent global supply chain where  constraints at any layer shape overall performance and economics. Beyond traditional data center compute, emerging  technologies are expanding the market through new computing form factors that depend on breakthrough semiconductor  innovation and frontier AI models, including intelligent robotics, domain-specific XPUs, and early hybrid classical-quantum  platforms. Together, these forces are shifting the industry from a focus on standalone chips toward tightly integrated,  system-level platforms that define the next phase of AI-driven growth. 

When working on strategy, product, marketing, and sales initiatives, consider intelligence from our expert analysts – planned deliverables for 2026 include:
  • Analyst Insight Report – a report on critical issues in the industry  
  • State of the Market Report – a report on technology, markets, products, and vendors
  • Futurum Signal Report Access – any Signal Report published in the relevant practice area

The Latest Insights on Semiconductors, Supply Chain, & Emerging Tech

Will QAI Moon Beat Hyperscalers in GPU Latency

Will QAI Moon Beat Hyperscalers in GPU Latency?

The need for edge AI inference is being met by QAI Moon, a new joint venture formed by Moonshot Energy, [...]
At CES, NVIDIA Rubin and AMD “Helios” Made Memory the Future of AI

At CES, NVIDIA Rubin and AMD “Helios” Made Memory the Future of AI

Brendan Burke, Research Director at Futurum, shares his insights on the unveilings of NVIDIA’s Rubin platform and AMD’s Helios platform [...]
2025 OCP Summit—AI Infrastructure Buildout Consisted of Three Pillars: AI Servers Rack, Power & Cooling, and Networking

2025 OCP Summit—AI Infrastructure Buildout Consisted of Three Pillars: AI Servers Rack, Power & Cooling, and Networking

Ray Wang, Research Director for Semiconductors, Supply Chain, and Emerging Technology at Futurum, shares his insights and observations during the [...]
Lattice Launches New FPGA for Quantum Security

Lattice Launches New FPGA for Quantum Security

Ray Wang, Research Director at Futurum, shares his insights on Lattice MachXO5-NX TDQ, the first CNSA 2.0-compliant PQC-ready secure control [...]
QumulusAI USD.AI Financing Model for AI Infrastructure Capital

Could QumulusAI–USD.AI Financing Model Be a New Model for AI Infrastructure Capital

Ray Wang and Daniel Newman at Futurum share their insights on how QumulusAI USD.AI financing uses tokenized GPU collateral and [...]
AMD OpenAI Partnership Scale Win or Execution Risk at 6 GW

AMD OpenAI Partnership: Scale Win or Execution Risk at 6 GW?

Ray Wang, Research Director at Futurum, shares his insights on the AMD OpenAI partnership spanning 6 GW of Instinct GPUs, [...]

The Latest NEWS

Futurum Survey Finds That 65% of Compute Decision Makers Plan to Adopt Optical Computing
March 24, 2026

Futurum Survey Finds That 65% of Compute Decision Makers Plan to Adopt Optical Computing

Brendan Burke, Research Director at Futurum, reveals that ~65% of semiconductor decision-makers plan to adopt optical computing, with quantum accelerators and neuromorphic chips also gaining traction....
AI Grid Constraints Will Push Over 33% of Data Centers Off-Grid by 2030
March 12, 2026

AI Grid Constraints Will Push Over 33% of Data Centers Off-Grid by 2030

Brendan Burke, Nick Patience, and Olivier Blanchard, Analysts at Futurum, share their insights on how the power generation gap for AI data centers is forcing a permanent shift to off-grid...
AI Workload Priorities Diversify as Enterprises Push Compute Beyond Training
February 25, 2026

AI Workload Priorities Diversify as Enterprises Push Compute Beyond Training

Brendan Burke, Research Director at Futurum, reveals that no single AI workload is primary for most enterprises, with inference leading at just 34.6%. The balanced distribution demands workload-optimized processors and...
Can the CPU Market Meet Agentic AI Demand
February 24, 2026

Can the CPU Market Meet Agentic AI Demand?

Brendan Burke, Research Director at Futurum, unpacks the drivers of the CPU shortage in the data center market. Demand for agentic AI accelerated hyperscaler procurement of CPUs, leading to a...
GPU Alternatives Poised to Outgrow GPUs in 2026
January 26, 2026

GPU Alternatives Poised to Outgrow GPUs in 2026

Brendan Burke, Research Director at Futurum, analyzes new survey data that enterprise spending on XPUs, a diverse set of AI-specialized accelerators, will outpace GPUs in 2026....
Futurum’s New Silicon Data Helps Vendors Understand Complex AI Hardware Supply Chain for Strategic Planning — Report Summary
November 13, 2025

Futurum’s New Silicon Data Helps Vendors Understand Complex AI Hardware Supply Chain for Strategic Planning — Report Summary

Ray Wang, Research Director for Semiconductors, Supply Chain, and Emerging Technology, shares insights on Futurum’s new Silicon Tracker dataset, aiming to help industry leaders understand the AI hardware supply chain....

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