Measuring the gap between how fast industries are changing and how effectively companies are responding. A score of 50 is equilibrium. Updated monthly.
Five signals that fired in the past 30 days.
Google, Amazon, Meta, and Microsoft plan to spend a combined $650 billion on AI data centers this year alone, roughly 60% more than last year. The customer signal is clear: enterprise demand for AI compute is outpacing what even the largest companies anticipated. The gap between what organizations want to deploy and what infrastructure exists to support it is the defining constraint of 2026.
Block cut 4,000 jobs (40% of its workforce), explicitly stating AI allows smaller teams to do the same work. Atlassian cut 1,600 citing an AI shift. Pinterest cut 675 to fund AI-focused teams. Meta is planning cuts affecting up to 20% of its 79,000 employees. Across the sector, 9,200 of the 45,000 Q1 tech layoffs were directly attributed to AI and automation. The talent signal is not about job elimination. It is about job restructuring at a pace most HR departments are not equipped to manage.
OpenAI has surpassed $25 billion in annualized revenue and is reportedly exploring a public listing as soon as late 2026. Anthropic is approaching $19 billion. These numbers signal that AI is no longer a speculative category for investors. It is one of the fastest-growing revenue sectors in the technology industry. The companies building on top of these platforms, across every industry the Hyder Index tracks, now have a clearer commercial foundation under them.
New Pew Research data shows Americans are increasingly anxious about AI's potential harm to human creativity, relationships, and the job market. At the same time, AI-generated content is flooding platforms at scale, and governments are responding: a UK Parliament committee called generative AI a "clear and present danger" to creative industries and recommended a licensing-first approach to AI training data. The culture signal is splitting in two directions. Consumer adoption of AI tools continues rising. Public trust in the companies building them is falling.
A Department of Energy report found that data center electricity usage tripled over the past decade and is projected to double or triple again by 2028, potentially consuming 6.7% to 12% of total U.S. electricity. Gartner predicts power shortages will constrain 40% of AI data centers by 2027. The disruption signal is reshaping the entire energy industry: utilities that were planning for flat demand are now scrambling to build capacity, and hyperscalers are bypassing the grid entirely with direct investments in nuclear, geothermal, and dedicated clean energy projects.
No industry felt the March signals more acutely than HR and the Future of Work. In a single quarter, Block, Atlassian, Pinterest, eBay, and Meta collectively announced workforce reductions affecting tens of thousands of employees, with company leadership explicitly citing AI as the driver. Block's CEO said the cuts were not financially motivated but rather that AI now allows smaller teams to perform work that previously required larger departments. This is the pattern the Hyder Index was built to measure: not whether companies see the signal (they all do), but whether the organizational response matches the pace of what is happening. For HR leaders, the question is no longer "will AI affect our workforce" but "do we have a system for managing continuous restructuring." The companies that build that system now will retain their best people. The ones that wait will lose them to organizations that already have.