NVDA Supply-Chain RSI Hits 78, Highest Since 2021, as HBM Premiums Top 50%

NVIDIA's upstream supply-chain indicators have reached extreme overbought levels, with RSIRelative Strength Index - momentum oscillator on a 0-100 scale. at 78 as of June 12, 2026, the highest since the peak euphoria of 2021. The overbought condition reflects acute scarcity in high-bandwidth-memory chips (HBM), which command 50% premiums above standard DRAM pricing as AI data-center customers prioritize these specialized memory components for large language model training and inference workloads. Semiconductor equipment makers like ASML, Lam Research, and KLA have reported record order backlogs, while foundries including TSMC face multi-quarter delays on advanced process node capacity.

The supply crunch extends beyond HBM to logic chips, packaging materials, and substrate inputs. Applied Materials, Lam Research, and Broadcom have all signaled that customer urgency is pushing them to allocate capacity disproportionately to high-margin AI-related products. NVIDIA itself faces allocation pressure from customers competing for limited supply of its latest H100 and next-generation Blackwell GPUs. The concentration of AI capex on a handful of mega-cap cloud providers (Microsoft, Google, Meta, Amazon) has created a "gold rush" dynamic where supply chain partners prioritize these accounts, potentially starving mid-tier buyers.

The extreme RSIRelative Strength Index - momentum oscillator on a 0-100 scale. reading raises questions about near-term saturation and potential capex pullbacks in H2 2026. Some analysts flag that the memory-chip premium compression and capacity allocation frictions may signal customers are becoming less aggressive with forward guidanceCompany-issued forecasts of future financial performance., having already locked in sufficient near-term capacity. A correction in AI capex guidance from a major cloud provider could trigger a sharp repricing of semiconductor valuations and a reversal of the overbought condition.

Equipment makers and chipmakers, however, remain bullish on the multi-year thesis. TSMC's guidanceCompany-issued forecasts of future financial performance. and commentary suggest 2027-2028 will bring additional capacity additions and process-node maturation, which should ease bottlenecks. The debate centers on whether the AI capex cycle peaks in 2026 (raising near-term repricing risk) or extends into 2027-2028 (supporting continued supply-chain strength).