Imagine living in a country where you go straight to jail for a tweet, but get bail after being arrested for ‘allegedly’ throwing a 3 year old baby into a crocodile enclosure! The world is watching is disbelief!
They’ve arrested more people for calling out the Pakistani Moslem Rape Gangs than they have members of the Pakistani Moslem Rape Gangs.
Let that sink in.
A Sydney councillor has called for the return of Australia Day celebrations at Bondi Beach, taking aim at the "disease of political correctness" surrounding the event.
https://t.co/LFkopUB5hS
Nvidia Vera Rubin-based AI data centers cost US$47 billion per 1GW (gigawatt) data center holding 3,557 server racks – $9.1M each – with an annual $1.3B electric bill and hardware depreciation 6x higher than power costs, said Young Liu, chairman of Foxconn, the world’s biggest AI server maker, in a speech. 1/3 $NVDA #Foxconn $TSM $ASX $DELL $HPE $SMCI
Ray Hadley says Anthony Albanese has overtaken Kevin Rudd and Malcolm Turnbull to become Australia’s worst prime minister since Federation, blaming policy backflips and broken promises. ▶️ https://t.co/khNeFCliEQ
Get the news first with The Daily Telegraph app: https://t.co/It3JLBNjhC
“It’s an astonishing story”
They’re feeding your children to the crocodiles and the Government won’t say who did it because it would be ‘racist’ to do so…
Under a One Nation government, taxpayer funding for the ABC will be abolished, except for regional and rural services.
It looks like the majority of Aussies support this policy too.
https://t.co/261uVQ4MLw
xAI charges $50B per gigawatt. Neoclouds charge $17-25B.
Gavin Baker @GavinSBaker of Atreides Management told @johncoogan and @jordihays on @tbpn that Mars is not the SpaceX bull case.
Altimeter's research shows xAI monetizes compute at $50B per gigawatt on the Google deal - 2-3x what any neocloud competitor charges. Baker stayed long through the IPO. His 12-month model doesn't track rocket launches. It tracks gigawatt additions.
xAI also ordered roughly 20% of NVIDIA's Ruben production. Ruben is easier to deploy than Blackwell. Each new gigawatt at that pricing premium is a significant revenue event.
Model gigawatts, not launch cadence. That's the trade.
Full breakdown of Baker's near-term SpaceX case:
https://t.co/C9hHmizcix
Source: TBPN - https://t.co/waLjhPo179
DECISION IMMINENT: US energy regulator FERC is poised to rule by end of June on how data centers connect to the grid. Former FERC Chairman Neil Chatterjee calls it "the most significant FERC action in decades."
Two tracks to watch:
1) PJM co-location rules: clarifying whether hyperscalers can buy power directly from on-site generators without triggering tariff violations
2) A broader DOE-directed federal rulemaking that would standardize large load interconnection nationwide and may require hyperscalers to foot the full bill for grid upgrades
Existing grid interconnects become more valuable if hyperscalers must self-fund upgrades, but even more importantly, regulatory certainty alone is likely enough to kick off a new investment cycle in PJM, where new capacity has badly lagged demand. For context, PJM fell 6.6 GW short in its December 2025 capacity auction, with capacity prices hitting a record $333/MW-day.
Could be good catalyst for PJM-exposed names: $TLN $CEG $WULF $KEEL $MARA
Chair Kevin Warsh announced he is appointing task forces for key Fed areas:
1. Communications
2. Balance sheet
3. The use and reliance on existing data sources
4. Productivity and jobs
5. Inflation frameworks https://t.co/OAP6t9xg3v
Jeffrey Rosenberg, portfolio manager of the systematic multi-strategy fund at BlackRock, reacts to the Federal Reserve's decision to keep rates unchanged and says there's a risk of overplaying the flattening yield curve https://t.co/tT5BnZxpL3
The $700 billion AI infrastructure buildout just hit a wall that capital alone cannot fix and Jefferies just laid out exactly why (Save this).
The data center pipeline chart below shows announced capacity surging from 6.9 GW in 2025 to 24.1 GW in 2026, peaking at 44.4 GW in 2027, and sitting at 39.8 GW in 2028, numbers that look like an unstoppable infrastructure buildout on the surface.
But Jefferies issued a stark warning that approximately 50% of 2026 data centers and approximately 80% of 2027 and 2028 data centers do not appear to have started construction as of Q2 2026.
JPMorgan independently confirmed it, finding that over 60% of data center capacity planned for 2027 has not broken ground, with another 7% already flagged as delayed.
Sightline Climate put the raw numbers behind it, of the roughly 12 to 16 GW of US capacity announced for 2026, only about 5 GW is actually under active construction meaning the rest is still paper.
The reason so much of the announced pipeline is stalled is not capital but rather physics.
High-voltage transformer lead times that ran 12 to 18 months in 2022 have extended to 30 to 36 months in 2026, and in some cases up to five years, a catastrophic mismatch for data centers that need to deploy within 18 months to match AI demand timelines.
Grid interconnection queues in high-demand regions like Texas, Virginia, and the Carolinas have grown to 3 to 5 years, meaning projects that broke ground in late 2024 expecting to be online by mid-2026 are finishing construction and finding they cannot physically receive power.
Capacity market clearing prices in these regions reflect exactly that scarcity, hitting $329 per megawatt-day in 2026, up from $28.92 the year before: a 1,037% increase in a single year.
The power generation cancellation data makes it significantly worse.
The second chart shows canceled and postponed power generation projects across every major category, solar, natural gas, batteries, onshore wind, and offshore wind, all trending sharply higher from April 2023 through April 2026.
Battery cancellations in ERCOT which Jefferies specifically flagged as the key forward indicator are accelerating precisely when they should be expanding to support new data center demand.
The conclusion is that headline pipeline figures materially overstate the capacity that will actually come online, solar and battery project attrition is accelerating just as data center demand firms, and the supply environment is getting tighter.
What this means for the AI infrastructure trade is direct and consequential.
When 50% of 2026 capacity and 80% of 2027 capacity is on paper rather than under construction, the AI compute shortage does not ease on the timeline the market is currently pricing but rather extends.
Every gigawatt that slips from 2026 into 2027 or 2028 is a gigawatt of compute that hyperscalers, model labs, and enterprise AI teams cannot access which means they will pay a premium for whatever capacity actually exists, and the companies that already have operational data centers with secured power today are not in a competitive market.
They are in a seller's market with no meaningful competition, for longer than the consensus currently believes.
Long the Neoclouds stock and come koin Milk Road Pro for just a dollar for our full breakdown of the data center delivery gap, its impact on AI cloud pricing, and the infrastructure companies set to benefit.
Link below!