Observed Signal · Jun 5, 2026 · Analysis · Source: a16z · Impact: 3/5 · Sentiment: Positive
Charts of the Week: RTO Stalled, AI Drives Data Center Buildout
An a16z newsletter analyzing multiple cross-cutting trends: weekday office visits remain ~70% of pre-pandemic levels with widespread office vacancies and a split between new and older office stock; researchers (including the NY Fed) link slower junior hiring to remote-workable occupations rather than AI exposure; employer small businesses adopt AI at higher rates than non-employer firms per JP Morgan Chase; biotech startups (emerging biopharma) account for a growing share of clinical trial starts and novel drug submissions; and AI demand is fueling an unprecedented data center construction boom that raises major power, cooling, and grid-connection challenges as next-generation racks (e.g., Rubin/Nvidia designs) require multiples of historic rack power. The piece highlights structural implications for labor, small-business adoption of AI, drug development, and long-term compute infrastructure needs.
Highlights growing AI-driven data center demand and power constraints plus labor and adoption trends that have medium-term implications for infrastructure, workforce dynamics, and technology adoption relevant to the advertising and broader tech ecosystem.
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Key Takeaways & Evidence Grounding
- Placer foot-traffic data show nationwide weekday office visits are ~70% of pre-pandemic levels.
- Office vacancy rates exceed 14%, the highest since the Global Financial Crisis.
- NY Fed research finds the youth unemployment gap is larger in 'remotable' occupations and persists when controlling for AI exposure.
- JP Morgan Chase spending data show employer small businesses have ~26% AI-adoption rates versus ~14.3–19% for non-employer firms.
- Data center construction spending has eclipsed transportation spending; next-generation GPU racks (Rubin / Nvidia) may require ~7x to ~25x more power than pre-LLM racks, stressing grid and supply chains.
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Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
AI Infrastructure Demand Remains High
This a16z Charts of the Week piece analyzes multiple datasets showing sustained, historically high demand for AI infrastructure—data center power/cooling machinery, GPUs, and related services—while exploring signals of supply-side friction. Vertiv reported $3.27B in Q2 revenue but missed guidance, blaming timing and supply-chain congestion. Census and NY Fed data show large increases in orders and higher supply-chain pressure, while import volumes for most data-center categories remain stable. GPU rental and contract rates (including H100 12-month pricing) have risen materially, and indicators of AI token spending are mixed. Labor data show remote hiring remains elevated, and entry-level tech postings are a small share of total postings.
Midwifing the Next Species in Datacenters
This analytical newsletter examines the accelerating buildout of AI datacenter infrastructure and the wide-ranging impacts: compute, memory, power and photonics bottlenecks; major corporate capital moves (Alphabet’s large stock sale and Berkshire Hathaway’s investment); confidential IPO filings from frontier AI labs (Anthropic, OpenAI) and short-term compute deals (SpaceX–Anthropic). The piece highlights environmental, community and regulatory backlash to massive datacenter projects (noise, water use, local costs), cites high-profile projects (Microsoft in Wisconsin, the proposed Stratos campus in Utah), and notes geopolitical and military AI concerns. It also covers industry dynamics—VC concentration, falling valuations for many startups, and research into machine consciousness—while flagging energy-grid and supply-chain risks that could reshape the economics and social license for AI infrastructure.
Charts: Thematic Shift to AI, Infrastructure, and Agents
A16z's 'Charts of the Week' analyzes recent market and labor trends: ETFs are seeing record inflows and thematic leadership has shifted from clean energy and healthcare (2020) to AI, nuclear, space, defense, and infrastructure (2026). Data-center construction represents a large share of non-residential spending in some US states and is associated with higher local wages and job growth; Indeed and ADP data show sizable pay premiums for data-center roles. Rideshare fares (especially Uber) have risen since 2024 with platform fees and driver pay also increasing. Gig-work is growing, with social commerce expanding rapidly. On AI, token consumption and sophisticated tool adoption are concentrating in power users: top-decile firms and agents are driving disproportionate token usage, cached tokens are fueling growth, and agent usage has surged versus human usage. Early signs suggest agentic AI may disrupt legacy automation tooling.
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