Qualcomm’s Snapdragon Reality Elite Ups the Stakes for Spatial AI

Olivier Blanchard, Research Director & Practice Lead, Intelligent Devices at Futurum, Qualcomm’s Snapdragon Reality Elite positions the chipmaker as a spatial AI leader, enabling on-device processing for mixed reality experiences.
Qualcomm’s Investor Day 2026: Agentic and AI Inference To Drive 2x Revenue Growth by 2030

Olivier Blanchard and Brendan Burke, Research Directors at Futurum, explain the significance of Qualcomm’s June 24 Investor Day announcements as the company continues to evolve into a full-stack AI platform company.
Qualcomm’s Data Center Reentry at Investor Day 2026 Arrives Just in Time for the Inference Decode Prize

Brendan Burke and Olivier Blanchard, Research Directors at Futurum, explain why Qualcomm’s June 24 Investor Day matters less for its new CPU than for its claim on the decode-heavy inference market, where power efficiency decides the winner.
Buyers Are Trading Up: 80% More Likely to Buy AI PCs as Traditional PCs Stall at 47%

Enterprise buyers are trading up: 80% of IT decision makers are more likely to buy AI PCs than six months ago, versus 47% for traditional PCs, with budgets growing 18.8%, according to Futurum’s 1H 2026 survey of 818 global enterprises.
How will Qualcomm’s AI Bet Solve for NVIDIA’s Data Center Gaps as Agentic Workloads Reshape the Chip Market?

Olivier Blanchard, Research Director & Practice Lead, Intelligent Devices at Futurum, on Qualcomm’s Investor Day, and whether Qualcomm can challenge NVIDIA’s data center dominance.
How Desktop AI Hubs Could Deflect Over 56.23 TWh of Industrial Data Center Load by 2035

Olivier Blanchard and Brendan Burke, Research Directors at Futurum, share their insights on how high-performance small-form-factor desktop AI PCs such as the DGX Spark and Mac Mini could form the basis of a new type of edge “AI hub” device. Such a device, which would allow homes and small businesses to run many of their own AI workloads privately, locally, and without incurring additional token costs, could potentially deflect over 56.23 TWh of industrial data center load by 2035, and be the key to making physical AI (robots) economically viable.
How Desktop AI Hubs Could Deflect Over 56.23 TWh of Industrial Data Center Load by 2035

Olivier Blanchard and Brendan Burke, Research Directors at Futurum, share their insights on how high-performance small-form-factor desktop AI PCs such as the DGX Spark and Mac Mini could form the basis of a new type of edge “AI hub” device. Such a device, which would allow homes and small businesses to run many of their own AI workloads privately, locally, and without incurring additional token costs, could potentially deflect over 56.23 TWh of industrial data center load by 2035, and be the key to making physical AI (robots) economically viable.
Does FOXTRON’s Adoption of Dimensity AX C-X1 Validate MediaTek’s Automotive Ambitions?

Olivier Blanchard, Research Director at Futurum, examines how FOXTRON’s adoption of MediaTek’s Dimensity AX C-X1 platform moves AI-defined vehicle ambitions from platform development into commercial automotive deployment.
MediaTek’s Maturing Edge-to-Cloud AI Strategy Expands Beyond Smartphones

Olivier Blanchard, Research Director at Futurum, examines how MediaTek is using Agentic AI, automotive platforms, connectivity, and data center infrastructure to build an edge-to-cloud AI strategy that extends beyond smartphones.
Can Google and Samsung Displace Meta in the Smart Glasses Segment?

Olivier Blanchard, Research Director at Futurum, shares his insights on Google’s intelligent eyewear and whether Gemini-powered smart glasses can overcome the privacy and adoption issues that hurt Google Glass.
PC Pricing & Demand Under Pressure: How Consumers Will Actually Respond

In this Market Study, Futurum Research examines how consumer PC buyers respond to rising prices and why most remain addressable through adjustments in timing, configuration, or channel.
SiTime’s 88% Revenue Surge Signals Precision Timing’s New Strategic Role in AI Infrastructure

SiTime’s Q1 2026 revenue surged 88% to $113.6M, driven by AI and high-performance systems demanding precision timing as a critical system requirement.
