๐จ๐ญ Global One SI - Prompt
ImmunityBio $IBRX reports a 700% YoY revenue surge to $113M for 2025, driven by a 750% jump in ANKTIVA sales. With a world first lung cancer approval in Saudi Arabia and expansion to 33 countries, the firm enters 2026 with $242.8M in cash and IP throughโฆ
$IBRX BULLISH ๐ฅ
D. Boral Capital reiterated a Buy rating on ImmunityBio with a $23 price target
D. Boral Capital reiterated a Buy rating on ImmunityBio with a $23 price target
Forwarded from ๐ขWTI, Brent Crude Oil, NGAS Trading ๐
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What a day
The Druzhba-1 station at Kaleikino, the key node of the Druzhba oil pipeline, was blown up by Ukraine.
- It accounts for 86% of Hungary's oil consumption
- And ~100% of Slovakia's oil consumption
- As a response, Slovakia announced it will halt electricity supplies to Ukraine
Things are heating up
The Druzhba-1 station at Kaleikino, the key node of the Druzhba oil pipeline, was blown up by Ukraine.
- It accounts for 86% of Hungary's oil consumption
- And ~100% of Slovakia's oil consumption
- As a response, Slovakia announced it will halt electricity supplies to Ukraine
Things are heating up
๐ฅ1
In the lead up to Israel vs Iran 2.0, a 4.2 earthquake was detected.
The epicenter happens to be close to the Shimon Peres Negev Nuclear Research Center.
Are they preparing for the Samson Option: Israelโs unconfirmed nuclear doctrine of massive retaliation as a last resort against an existential threat.
The epicenter happens to be close to the Shimon Peres Negev Nuclear Research Center.
Are they preparing for the Samson Option: Israelโs unconfirmed nuclear doctrine of massive retaliation as a last resort against an existential threat.
๐2
๐จ๐ญ Global One SI - Prompt
$IBRX BULLISH ๐ฅ D. Boral Capital reiterated a Buy rating on ImmunityBio with a $23 price target
HIV Breakthrough Alert: ANKTIVA could change EVERYTHING ๐จ
$IBRX ANKTIVA wakes hidden HIV virus and unleashes NK plus T cells to wipe it out in the โkick and killโ approach.
Over half the people in the study with broadly neutralizing antibodies plus ANKTIVA delayed viral rebound or kept loads low or suppressed without ART for longer periods.
Not just cancer fighter anymore.
This might mean real control over HIV without daily meds forever.
Trials keep advancing.
Huge potential ahead ๐
$IBRX ANKTIVA wakes hidden HIV virus and unleashes NK plus T cells to wipe it out in the โkick and killโ approach.
Over half the people in the study with broadly neutralizing antibodies plus ANKTIVA delayed viral rebound or kept loads low or suppressed without ART for longer periods.
Not just cancer fighter anymore.
This might mean real control over HIV without daily meds forever.
Trials keep advancing.
Huge potential ahead ๐
๐จ๐ญ Global One SI - Prompt
๐จ Here are the 40 jobs most threatened by AI! The first to disappear will be: โ Translators/Interpreters โ Historians โ Writers AI covers 98% of translators' tasks and succeeds 88% of the time. It's the most AI-endangered job in the world. The study isโฆ
๐จ AI IS ABOUT TO TRIGGER THE BIGGEST ECONOMIC CRISIS SINCE 2008.
Not because AI is failing. But because AI is moving at a pace the traditional economy is not adjusting to fast enough.
This is what Citrini layed out in its research and here's everything you need to know about it.
White collar workers make up roughly half of US employment. But more importantly, the top 20% of income earners drive around 60%+ of total consumer spending in the US.
That means a relatively small group supports a very large part of:
โข housing demand
โข car purchases
โข travel
โข restaurants
โข software subscriptions
โข private school
โข mortgage quality
Now AI coding tools are already reducing the cost of building software. Companies are renegotiating large SaaS contracts because internal teams using AI can now replicate core features faster and cheaper.
When companies cut 10-15% of staff, seat based software revenue drops automatically.
EARLY IMPACT: Margins improve because payroll drops.
SECOND IMPACT: High-income wages weaken.
THIRD IMPACT: Spending slows.
But machines produce output. Machines do not consume output. If a $180,000 product manager role is replaced by a $200/month AI tool, corporate profit rises but household income falls.
If this happens at scale, you get a loop:
AI improves โ companies cut jobs โ spending weakens โ companies protect margins โ buy more AI โ cut more jobs.
Each step makes sense for one company. But across the whole economy, it shrinks the wage base that supports demand.
Now look at what just happened. After Claude announced its new Code Security AI update, cybersecurity stocks sold off sharply.
Why? Because investors immediately realized AI is now automating tasks inside cybersecurity itself, a sector that was considered protected from automation risk.
That is the displacement effect spreading beyond software into security, compliance, and enterprise defense roles. This is how the loop expands.
Now add credit.
US private credit has grown to over $2 trillion. Many deals in software and tech were priced assuming stable recurring revenue. If AI compresses pricing power, those revenue assumptions weaken.
If defaults rise, private credit funds, insurers, and pension holders face pressure.
Now look at housing. The US mortgage market is around $13 trillion. Mortgages are underwritten on stable income assumptions.
If high income job stability weakens, lenders tighten standards. If housing demand weakens while incomes are under pressure, prices soften.
That affects household wealth and confidence.
Now look at government revenue. The US government collects most of its money from payroll taxes and income taxes. If labor income shrinks while capital income rises, tax collection changes.
At the same time, displaced workers need support. That means higher spending and lower tax receipts at the same time.
This is different from 2008.
2008 was a financial system failure.
This would be a labor structure shift.
In past tech revolutions, new jobs replaced old jobs quickly.
The risk here is speed.
If AI replaces high-income cognitive roles faster than new high-income roles are created, spending drops before the system adapts.
This does not guarantee collapse. But it increases the risk of:
โข weaker discretionary spending
โข pricing pressure in software and services
โข rising stress in private credit
โข housing sensitivity in high-income cities
โข fiscal deficits widening during a productivity boom
Not because AI is failing. But because AI is moving at a pace the traditional economy is not adjusting to fast enough.
This is what Citrini layed out in its research and here's everything you need to know about it.
White collar workers make up roughly half of US employment. But more importantly, the top 20% of income earners drive around 60%+ of total consumer spending in the US.
That means a relatively small group supports a very large part of:
โข housing demand
โข car purchases
โข travel
โข restaurants
โข software subscriptions
โข private school
โข mortgage quality
Now AI coding tools are already reducing the cost of building software. Companies are renegotiating large SaaS contracts because internal teams using AI can now replicate core features faster and cheaper.
When companies cut 10-15% of staff, seat based software revenue drops automatically.
EARLY IMPACT: Margins improve because payroll drops.
SECOND IMPACT: High-income wages weaken.
THIRD IMPACT: Spending slows.
But machines produce output. Machines do not consume output. If a $180,000 product manager role is replaced by a $200/month AI tool, corporate profit rises but household income falls.
If this happens at scale, you get a loop:
AI improves โ companies cut jobs โ spending weakens โ companies protect margins โ buy more AI โ cut more jobs.
Each step makes sense for one company. But across the whole economy, it shrinks the wage base that supports demand.
Now look at what just happened. After Claude announced its new Code Security AI update, cybersecurity stocks sold off sharply.
Why? Because investors immediately realized AI is now automating tasks inside cybersecurity itself, a sector that was considered protected from automation risk.
That is the displacement effect spreading beyond software into security, compliance, and enterprise defense roles. This is how the loop expands.
Now add credit.
US private credit has grown to over $2 trillion. Many deals in software and tech were priced assuming stable recurring revenue. If AI compresses pricing power, those revenue assumptions weaken.
If defaults rise, private credit funds, insurers, and pension holders face pressure.
Now look at housing. The US mortgage market is around $13 trillion. Mortgages are underwritten on stable income assumptions.
If high income job stability weakens, lenders tighten standards. If housing demand weakens while incomes are under pressure, prices soften.
That affects household wealth and confidence.
Now look at government revenue. The US government collects most of its money from payroll taxes and income taxes. If labor income shrinks while capital income rises, tax collection changes.
At the same time, displaced workers need support. That means higher spending and lower tax receipts at the same time.
This is different from 2008.
2008 was a financial system failure.
This would be a labor structure shift.
In past tech revolutions, new jobs replaced old jobs quickly.
The risk here is speed.
If AI replaces high-income cognitive roles faster than new high-income roles are created, spending drops before the system adapts.
This does not guarantee collapse. But it increases the risk of:
โข weaker discretionary spending
โข pricing pressure in software and services
โข rising stress in private credit
โข housing sensitivity in high-income cities
โข fiscal deficits widening during a productivity boom
โ1
๐จ๐ญ Global One SI - Prompt
๐จ AI IS ABOUT TO TRIGGER THE BIGGEST ECONOMIC CRISIS SINCE 2008. Not because AI is failing. But because AI is moving at a pace the traditional economy is not adjusting to fast enough. This is what Citrini layed out in its research and here's everything youโฆ
AI can be extremely productive and still create short-term economic instability. The system was built on scarce human intelligence.
If intelligence becomes cheap and widely available through machines, the value of human labor changes. Markets will reprice that shift.
If you want to track whether this risk is building, watch simple data:
โข white collar job openings
โข wage growth in high-income sectors
โข enterprise software renewal pricing
โข private credit default rates
โข housing delinquencies in tech-heavy metros
โข payroll tax receipts
If those weaken while AI capability keeps accelerating, the displacement scenario becomes real.
The risk is not AI failing.
The risk is AI working faster than institutions can adjust.
If intelligence becomes cheap and widely available through machines, the value of human labor changes. Markets will reprice that shift.
If you want to track whether this risk is building, watch simple data:
โข white collar job openings
โข wage growth in high-income sectors
โข enterprise software renewal pricing
โข private credit default rates
โข housing delinquencies in tech-heavy metros
โข payroll tax receipts
If those weaken while AI capability keeps accelerating, the displacement scenario becomes real.
The risk is not AI failing.
The risk is AI working faster than institutions can adjust.
โ1
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Unmanned aircraft YFQ-44A ๐บ๐ธ completed its first autonomous flight, operating solely through software guidance.
๐จ๐ญ Global One SI - Prompt
A List of Drone Stocks: Military Drones $KTOS Kratos $RCAT Red Cat $AVAV AeroVironment $ESLT Elbit Systems $AIRO AIRO $PRZO ParaZero $DRSHF DroneShield Commercial Drones $UMAC Unusual Machines $DPRO Draganfly $FLT Volatus Aerospace $PAOTF Parrot Drone Sensorsโฆ
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Attacks by massive drone swarms will become a reality ๐บ๐ธ
1,000 drones flying in formation.
What would you do to train against a swarm like this?
Now what if they were moving at 70 mph in every direction?
People talk about EMPs. Microwaves. Lasers.
Those arenโt sitting on every corner. And the battlefield isnโt always where you expect it.
The threat is evolving.
Training must evolve faster.
1,000 drones flying in formation.
What would you do to train against a swarm like this?
Now what if they were moving at 70 mph in every direction?
People talk about EMPs. Microwaves. Lasers.
Those arenโt sitting on every corner. And the battlefield isnโt always where you expect it.
The threat is evolving.
Training must evolve faster.
๐จ๐ญ Global One SI - Prompt
$UEC $CCJ $UUUU $OKLO $SMR $NNE $LEU | #Uranium enters a super cycle as spot prices breached $100/lb in Jan 2026. With Kazatomprom supply cuts and AI data center demand surging, analysts now eye a $200/lb target by 2028. The IEA warns of a structural deficitโฆ
$UEC $CCJ $UUUU $OKLO $SMR $NNE $LEU | Energy Secretary Chris Wright moves to boost the Strategic #Uranium Reserve, citing national security.
Supported by a $2.7B domestic enrichment award and a Section 232 designation, the plan aims to secure fuel for the U.S. nuclear fleet.
Supported by a $2.7B domestic enrichment award and a Section 232 designation, the plan aims to secure fuel for the U.S. nuclear fleet.
๐1
๐จ๐ญ Global One SI - Prompt
$IREN $CLSK $CIFR $BITF $WULF $CRWV | AWS CEO Matt Garman: "Even with all these investments, we will be capacity constrained for the next couple of years. We will sell every single server and every single bit, and we will wish we had more."
Amazon $AMZN is investing $12B in Northwest Louisiana data center campuses, creating 540 direct jobs.
AWS is funding 100% of grid upgrades with SWEPCO and $400M in water infrastructure. Facilities will use natural air cooling for 87% of the year.
AWS is funding 100% of grid upgrades with SWEPCO and $400M in water infrastructure. Facilities will use natural air cooling for 87% of the year.
๐1
Energy Fuels $UUUU operates White Mesa, the only active conventional #uranium mill in the U.S.
In 2026, it targets over 2M lbs of uranium while advancing a $410M commercial circuit to produce 100% of U.S. heavy rare earth needs by Q4 and beyond.
In 2026, it targets over 2M lbs of uranium while advancing a $410M commercial circuit to produce 100% of U.S. heavy rare earth needs by Q4 and beyond.
๐1
Chinese markets are back from the New Year festivities.
- Shanghai #silver price: 97 USD
- Western price: 88 USD
- Shanghai premium: 10%
Demand for physical silver in China remains very strong.
- Shanghai #silver price: 97 USD
- Western price: 88 USD
- Shanghai premium: 10%
Demand for physical silver in China remains very strong.
๐จ๐ญ Global One SI - Prompt
ImmunityBio $IBRX reports a 700% YoY revenue surge to $113M for 2025, driven by a 750% jump in ANKTIVA sales. With a world first lung cancer approval in Saudi Arabia and expansion to 33 countries, the firm enters 2026 with $242.8M in cash and IP throughโฆ
H.C. Wainwright raised its price target for ImmunityBio $IBRX to $15, citing ANKTIVAโs $113M FY25 revenue and 700% growth.
With new EU approval, ANKTIVA is now authorized in 33 countries, marking one of the fastest global rollouts for an immunotherapy.
With new EU approval, ANKTIVA is now authorized in 33 countries, marking one of the fastest global rollouts for an immunotherapy.
๐1
๐จ๐ญ Global One SI - Prompt
It's interesting that the FSB mentions a cyber attack, that would be the perfect scapegoat for a global private credit / bond collapse.
Media is too big
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Iran is threatening to use mach 13 Fattah-1 and Fattah-2 hypersonic missiles against U.S. naval vessels if attacked.
Reminder: Hypersonic missiles have never been intercepted (that we're aware of).
Reminder: Hypersonic missiles have never been intercepted (that we're aware of).
โก1
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SOF Truth #1
People, not equipment, make the critical difference. The right people, highly trained and working as a team, will accomplish the mission with the equipment available. On the other hand, the best equipment in the world cannot compensate for a lack of the right people.
People, not equipment, make the critical difference. The right people, highly trained and working as a team, will accomplish the mission with the equipment available. On the other hand, the best equipment in the world cannot compensate for a lack of the right people.
๐ฟ1
๐ข Know Your Tankers
Not all energy ships are the same.
๐ข๏ธ Oil Tankers
Crude & refined products
55,000โ550,000 DWT
โฝ Product Tankers
Refined fuels
5,000โ80,000 DWT
๐งช Chemical Tankers
Specialty chemical cargoes
5,000โ50,000 DWT
๐ฅ LNG Carriers
Liquefied natural gas
30,000โ270,000 mยณ
๐จ LPG Carriers
Liquefied petroleum gas
15,000โ85,000 mยณ
๐ฃ๏ธ Asphalt / Bitumen Tankers
Heavy residues
3,000โ45,000 DWT
Freight rates, trade flows, and sanctions impact each segment differently.
Shipping type = market exposure.
#oott #energy #LNG #shipping
Not all energy ships are the same.
๐ข๏ธ Oil Tankers
Crude & refined products
55,000โ550,000 DWT
โฝ Product Tankers
Refined fuels
5,000โ80,000 DWT
๐งช Chemical Tankers
Specialty chemical cargoes
5,000โ50,000 DWT
๐ฅ LNG Carriers
Liquefied natural gas
30,000โ270,000 mยณ
๐จ LPG Carriers
Liquefied petroleum gas
15,000โ85,000 mยณ
๐ฃ๏ธ Asphalt / Bitumen Tankers
Heavy residues
3,000โ45,000 DWT
Freight rates, trade flows, and sanctions impact each segment differently.
Shipping type = market exposure.
#oott #energy #LNG #shipping
Forwarded from ๐ขWTI, Brent Crude Oil, NGAS Trading ๐
Bullish bets on oil are surging.
Are insiders positioning to profit from a war with Iran?
Are insiders positioning to profit from a war with Iran?
๐ฅ1
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๐ด Iran ๐ฎ๐ท | The regime empties the coffers and prepares its escape
Exclusive investigation by Channel 14 (TV ๐ฎ๐ฑ):
Three high-ranking officials linked to the IRGC withdrew approximately $500 million from Iran in one month.
The names:
โ Ali Larijani
โ Ali Shamkhani
โ Ali Karimian
Their sons are organizing the exfiltration:
โ cryptocurrencies, cash, and gold
โ Moscow
โ Singapore: account no. 01-055-70680 (ILT Capital company)
โ Dubai (received by Hussein Shamkhani)
Meanwhile:
โ The five largest Iranian banks are on the verge of collapse.
โ The people are being impoverished and massacred by the Islamic regime.
โ The elite are hiding the money and preparing their escape.
#Iran #IRGC #IranRevoIution2026
Exclusive investigation by Channel 14 (TV ๐ฎ๐ฑ):
Three high-ranking officials linked to the IRGC withdrew approximately $500 million from Iran in one month.
The names:
โ Ali Larijani
โ Ali Shamkhani
โ Ali Karimian
Their sons are organizing the exfiltration:
โ cryptocurrencies, cash, and gold
โ Moscow
โ Singapore: account no. 01-055-70680 (ILT Capital company)
โ Dubai (received by Hussein Shamkhani)
Meanwhile:
โ The five largest Iranian banks are on the verge of collapse.
โ The people are being impoverished and massacred by the Islamic regime.
โ The elite are hiding the money and preparing their escape.
#Iran #IRGC #IranRevoIution2026
๐1