Research on the physical infrastructure, leadership decisions and real-world outcomes shaping the AI economy. We are interested in what gets built, what decision-makers actually believe, and what value survives after the headlines.
Each stream can stand on its own. Together they connect the physical buildout of AI to executive decision-making and the outcomes organizations and economies actually receive.
Data centres, grid pressure, water, land, public support, contractors, local jobs and long-term economic value. Built to help citizens, leaders and policymakers interrogate the trade-offs behind AI infrastructure.
Structured conversations with CEOs, CIOs, CTOs, operators and other technology leaders about what they are buying, rejecting, struggling with and changing because of AI.
What organizations actually deploy, what it costs, where productivity appears, where projects stall, and whether the promised business value survives contact with real operations.
The value is not another collection of executive quotes. We will ask a consistent core set of questions so patterns, disagreements and shifts can be compared across industries, countries and years.
A synthesized view of what senior technology and business leaders are seeing across investment, adoption, governance, talent, infrastructure and value.
Individual interviews will remain useful on their own, but the compounding asset is the longitudinal dataset underneath them.
The annual report will pull out recurring themes, meaningful disagreements and material changes from the year.That gives 8ALTA a research structure that is broad enough to matter, but focused enough to compound into proprietary perspective over time.
The physical capacity, resources, public trade-offs and supply chains behind the AI economy.
Direct evidence of how decision-makers think about investment, risk, adoption and competitive pressure.
Real deployment, productivity, cost, organizational change and durable economic or business outcomes.