{"id":612372,"date":"2026-05-30T17:13:15","date_gmt":"2026-05-30T17:13:15","guid":{"rendered":"https:\/\/www.newsbeep.com\/uk\/612372\/"},"modified":"2026-05-30T17:13:15","modified_gmt":"2026-05-30T17:13:15","slug":"ai-and-data-sovereignty-in-postgres-an-answer-to-the-datacenter-energy-crisis","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/uk\/612372\/","title":{"rendered":"AI and data sovereignty in Postgres: An answer to the datacenter energy crisis"},"content":{"rendered":"

Partner Content\u00a0This
\nyear, the global build-out of datacenters has become impossible to
\nignore, with the debate spilling into national media, local
\nnewspapers, and community council meetings alike. From Arkansas to
\nSouthern California, Nevada, Pennsylvania, West Virginia, and most
\nrecently Box Elder, Utah, communities are weighing the economic
\npromise of datacenter expansion against mounting concerns over
\nenergy, infrastructure, and residential impact. The same dynamic is
\nplaying out in the UK, where OpenAI’s “Stargate UK” project
\nhas been partly shelved<\/a>
\namid energy consumption concerns and regulatory pressure.<\/p>\n

A typical new hyperscale datacenter can face grid-connection
\nbottlenecks of up to seven
\nyears<\/a> in certain markets, well before the necessary
\ntransmission, substations, generation capacity, and transformers are
\nin place. McKinsey, meanwhile, estimates that global datacenter
\nspending could reach $7
\ntrillion by 2030<\/a> – a figure comparable to the size of a
\ntop-12 global economy.<\/p>\n

AI intelligence at scale now dominates enterprise strategy and
\nglobal politics because the promise of the technology is matched only
\nby the infrastructure required to deliver it. Energy consumption is
\nunavoidable in this new world, and the bet enterprise leaders are
\nmaking is that the value AI creates will outstrip the cost of the
\npower feeding it. That trade-off has produced a new equation for
\nexecutives: intelligence
\nper watt<\/a>.<\/p>\n

Is your agentic ambition constrained by energy?<\/p>\n

AI-driven datacenters already account for
\nroughly 1.5 percent of global electricity consumption, and the IEA
\nexpects that demand to more
\nthan double<\/a> by 2030, approaching three percent of global
\nelectricity use. That’s more than many major industrial sectors,
\nincluding agriculture.<\/p>\n

The pressure will compound over the next three years, with IDC
\nprojecting onebillion
\nagents running 217 billion daily actions<\/a> by 2029. From
\nSeattle to Barnsley in the UK, the race to build more datacenters
\nclose to energy sources is now a daily occurrence.<\/p>\n

If the right datacenter, grid, and power infrastructure for the
\nfirst billion agents takes up to seven years to build, supporting
\ntwo, three, or even eight billion agents implies timelines the
\nindustry has yet to cost. The mismatch between enterprise intent and
\nenergy capacity is widening.<\/p>\n

For enterprise leaders, this is a defining moment of decision.
\nWith 95
\npercent<\/a> of global enterprises intending to become their
\nown AI and data platforms in less than 780 days, AI, data, and energy
\ncan no longer be treated as separate priorities; they are now
\ninterconnected parts of a single platform strategy. The harder
\nquestion is how executives can pursue those AI ambitions while
\nmanaging energy efficiently at agentic scale.<\/p>\n

BFSI might be showing us the way forward<\/p>\n

Banking, financial services, and insurance
\n(BFSI) enterprises have traditionally invested more heavily in
\ntechnology than any other major sector. McKinsey estimates banking IT
\nspending typically runs at between
\nsix and 12 percent of revenue<\/a>, compared with 3.75 percent
\nto five percent for the next-highest sector.<\/p>\n

The pressure to deliver new technology value, particularly through
\nAI and agentic systems, is creating an operating language shared by
\nCIOs, CTOs, and business leaders alike. AI and data are increasingly
\nframed as the new competitive moat, yet the energy costs associated
\nwith maintaining that moat introduce a fresh dynamic into technology
\ndecision-making.<\/p>\n

The 13
\npercent of global enterprises<\/a> winning with AI and agentic
\nsystems are more likely to build their data strategies around
\ncontrol, efficiency, and sustainability. The common pattern is
\nrepatriation: pulling AI and data out of single-hyperscaler silos and
\ninto their own control planes, where they can govern and manage
\ninformation across clouds, on-premises environments, and systems they
\nown.<\/p>\n

The pattern recurs among agentic AI leaders across EMEA, North
\nAmerica, Singapore, and Japan. The principle is straightforward:
\nbring AI to the data, because the two must work together across the
\nfront lines and back offices of the business rather than operating as
\nseparate concerns.<\/p>\n

That logic explains why BFSI leaders such as Wells Fargo,
\nMastercard, HSBC, JPMorgan Chase, Bank of America, Citigroup, Goldman
\nSachs, BNP Paribas, ING, Cr\u00e9dit Agricole, UBS, and NatWest have made
\npublic carbon-neutrality commitments alongside ambitious plans to
\nbecome their own sovereign AI and data platforms.<\/p>\n

AI and data sovereignty in Postgres wins on OpEx, environment, and
\nROI<\/p>\n

Agents operate at the data layer, which
\nmeans energy must be managed at the same layer, since this is where
\nmuch of the work happens. The alternative is the equivalent of
\nturning on the heat while leaving every window open in the middle of
\nwinter. Only by controlling the data layer, agents, and broader data
\nestate can enterprises build the foundation for managing energy
\nconsumption.<\/p>\n

Energy efficiency has to begin where enterprise operations already
\nrun, which is why PostgreSQL\u00ae,\u00a0the world’s most widely used database
\namong developers, is well suited to the challenge. EDB
\nPostgres AI<\/a> is built specifically to address the
\nenergy-intensive nature of modern datacenters by improving database
\nand AI efficiency at the point where workloads execute.<\/p>\n

By shrinking core usage requirements and tightening data-intensive
\nagentic operations such as search, retrieval, and vector indexing,
\nEDB Postgres AI can cut datacenter energy consumption by up to 81
\npercent and reduce emissions by as
\nmuch as 87 percent<\/a>.<\/p>\n

The ambition to become an AI and data platform carries one
\nfoundational requirement: AI and data sovereignty. Organizations that
\nadopt this model not only achieve 5x
\nROI and deploy 2x more AI and agentic AI systems<\/a>; they
\nalso gain more control, greater efficiency, and a smarter way to
\ndesign and operate datacenters for the agentic era.<\/p>\n

The formula for success is sovereignty in Postgres \u2014 the most
\npractical path to achieving more intelligence per watt.<\/p>\n

Contributed by EDB.<\/p>\n","protected":false},"excerpt":{"rendered":"Partner Content\u00a0This year, the global build-out of datacenters has become impossible to ignore, with the debate spilling into…\n","protected":false},"author":2,"featured_media":612373,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[554,733,4308,86,56,54,55],"class_list":["post-612372","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-technology","tag-uk","tag-united-kingdom","tag-unitedkingdom"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/612372","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/comments?post=612372"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/612372\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media\/612373"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media?parent=612372"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/categories?post=612372"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/tags?post=612372"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}