AI compute demand is expected to increase by as much as 100 times as enterprises deploy AI agents,65 putting increased pressure on existing data centers. As global organizations decide which of these options are right for them, many of the large-scale private AI infrastructure options will likely need to be housed in a data center with the requisite cooling (likely to require liquid cooling by the 2026 version of AI chip racks), power, connectivity, and more. Long-term infrastructure strategies could also contribute to organizations investing in private AI infrastructure. However, as AI projects scale, there will likely be an inflection …
Building your AI Governance Policy James Kavanagh
We’ve been exploring this more as a control-layer problem rather than just an authentication problem — curious if others are thinking about it the same way Most systems still assume session trust persists once access is granted, even though execution can continue for long periods without re-validating who’s actually in control. But what sits underneath both is decision structure. The distinction between control and enablement is critical. AI just collapses the time between action and consequence, which https://unisto-petrostal.ru/en/obzor-sed-iz-tatarstana-sistema-praktika-ili-svyazi.html means a governance environment that was already struggling to keep pace now cannot keep pace at all. One challenge I often hear …