# AI Spending Justified, Hyperscalers Drive Demand _Celine Woo of Lazard Asset Management discusses justified AI spending, hyperscaler growth, and the demand-supply gap in AI hardware._ **Published:** 2026-08-04 **Source:** https://www.startuphub.ai/ai-news/market-research/2026/ai-spending-justified-hyperscalers-drive-demand --- The massive spending on artificial intelligence is not only justified but set to continue its upward trajectory, according to insights shared by Celine Woo, Portfolio Manager at Lazard Asset Management. Speaking on Bloomberg Tech, Woo highlighted the recent earnings reports from hyperscalers, indicating that the hardware and semiconductor sectors will significantly benefit from sustained demand that currently outstrips supply. Hyperscalers Drive DemandCore major hyperscalers show strong AI ROI, confirming sustained demand for AI hardwareFrom the article 2 mentionsSpeaking on Bloomberg Tech, Woo highlighted the recent earnings reports from hyperscalers, indicating that the hardware and semiconductor sectors will significantly benefit from sustained demand that currently outstrips supply.AI Spending JustifiedContextLazard Asset Management confirms AI spending is justified and will continue to growFrom the article 3 mentionsThe massive spending on artificial intelligence is not only justified but set to continue its upward trajectory, according to insights shared by Celine Woo, Portfolio Manager at Lazard Asset Management.Inference Workloads KeyDriverFrom the article 2 mentionsWoo noted that the primary catalyst for this growth is the industry's pivot towards inference workloads, a shift that has been confirmed by conversations with industry leaders.leads toDemand Outstrips SupplyDriverFrom the article 5 mentionsSpeaking on Bloomberg Tech, Woo highlighted the recent earnings reports from hyperscalers, indicating that the hardware and semiconductor sectors will significantly benefit from sustained demand that currently outstrips supply.boostsHardware Sector BenefitsEffectFrom the articleSpeaking on Bloomberg Tech, Woo highlighted the recent earnings reports from hyperscalers, indicating that the hardware and semiconductor sectors will significantly benefit from sustained demand that currently outstrips supply.evidenced byTSMC CapEx SignalsOutcomeTSMC's major capital expenditures signal strong confidence in future AI growthsupportsAI Growth ContinuesOutcomeAI spending is set to continue its upward trajectory, benefiting the industryFrom the article 4 mentionsWoo pointed out that these three companies collectively delivered a 50% growth rate in their cloud segments, a remarkable acceleration compared to just five quarters prior. Woo noted that the primary catalyst for this growth is the industry's pivot towards inference workloads, a shift that has been confirmed by conversations with industry leaders. While training AI models still demands significant resources, the day-to-day operation and deployment of AI applications through inference are now the key drivers of compute demand. The full discussion can be found on **Bloomberg Technology**'s YouTube channel. ![](https://img.youtube.com/vi/lz9LH3QyPo8/maxresdefault.jpg) AI Spending Is Still Justified, Says Lazard, from Bloomberg Technology ## Hyperscalers Show Strong AI ROI The recent earnings of major cloud providers, including [Alphabet Inc. (NASDAQ:GOOGL)](https://www.google.com/finance/quote/GOOGL:NASDAQ), Amazon, and Microsoft, have provided a strong validation of their substantial investments in AI. Woo pointed out that these three companies collectively delivered a 50% growth rate in their cloud segments, a remarkable acceleration compared to just five quarters prior. This performance demonstrates a clear return on investment for their commitment to AI infrastructure and signals continued spending. When assessing the performance of these tech giants, Woo suggested that Microsoft and Amazon particularly impressed relative to expectations. The ability of these companies to exceed forecasts underscores the tangible benefits flowing from their large-scale AI spending commitments into their core businesses. ## Demand Outstrips Supply in AI Hardware A recurring theme in the AI sector is the persistent imbalance between demand and supply. Woo elaborated that this applies to both cloud capacity and the literal supply of chips powering these advanced systems. While a strong demand environment is positive, it necessitates a synchronized effort across the entire supply chain to ensure timely delivery of components, preventing any potential slowdown in AI adoption. The supply chain's ability to meet this surging demand is often underestimated. Woo cited the example of the memory space, where long-term agreements are becoming more common, a departure from historical practices. This trend indicates a greater degree of forward visibility and customer commitment, with companies like SK Hynix reporting that customers are increasingly willing to sign five-year deals. ## TSMC's Major CapEx Signals Confidence The commitment from key players in the semiconductor manufacturing chain further bolsters the outlook. Woo highlighted that TSMC, the world's largest foundry, has announced a significant $100 billion capital expenditure plan to expand its capacity, including in the U.S. This substantial investment, made in conjunction with hyperscalers, is not a speculative move but a direct response to clearly visible demand that extends over a five-year horizon. It signifies a collective effort across the supply chain, including memory manufacturers, to align supply with this unprecedented growth in AI demand. --- Original analysis from [startuphub.ai](https://www.startuphub.ai), the #1 AI startup directory.