Pacific Coast Capital

🚨🇺🇸🇮🇷🇮🇱 The Wall Street Journal just dropped a bombshell report on the inside story of the Iran war... The key revelations: Trump used to call the Middle East "blood and sand" and wanted nothing to do with it. Then Netanyahu gave him a "persuasive February briefing" in the Situation Room, backed by repeated calls from Lindsey Graham, and Trump changed his mind. He thought it would be as easy as Venezuela. Trump was "in awe" of the scale of the bombs, watching clips of explosions every morning. But he did "little to sell the American public on the war" and grew frustrated when he didn't get praised for it. His own team showed him midterm polling that proved the war was dragging down Republican candidates. He "quickly began ruminating on how the military action could turn into a catastrophe." On the Strait: Trump told his team before the war that Iran would "likely capitulate before closing the strait." His advisers were "caught off guard" that tanker traffic stopped so quickly. Trump later "marveled at the ease with which the strait was closed," saying "a guy with a drone can shut it down." By late March, before the F-15 was even shot down, Trump ordered his team to find a way to start talks. The war was already over in his mind weeks before the ceasefire. His aides begged him to stop doing impromptu interviews because he was contradicting himself publicly. He agreed to stop, then went right back to calling reporters. The April 1 address to the nation was Susie Wiles' idea to "reassure the country Trump had a plan." Trump didn't want to do it because, in his own words, he couldn't declare victory and didn't know where it was going. This report paints a picture of a president who was talked into a war by Netanyahu and Graham, realized it was a mistake within weeks, spent the rest of the conflict looking for the exit, and was frustrated that nobody would give him credit along the way. The war was an impulse, sold by an ally with different objectives, enabled by advisers who couldn't say no, and sustained by a president who was too proud to admit the mistake until the economy forced his hand.

Your statement is true if goods & services output doesn’t rise dramatically due to AI/robots, but false if it does. In a normal economy, issuing more money simply increases the dollar price of the existing output of goods & services, meaning people do NOT get more stuff. If AI/robots massively increase goods & services output, then you actually MUST issue dollars to people or there will be massive disinflation. Prices are simply the ratio of goods & services output to number of dollars.

As a person who represented dementia patients when they were being committed to nursing homes, many went into hallucinogenic states. Trump's portraying himself as Jesus at three in the morning is proof of his rapid cognitive decline.

If you want to truly understand what it means to have an IQ in the range of 75-80, which is borderline retarded, listen to Kamala Harris explain how to solve inflation.

🚨RESEARCHERS JUST MATHEMATICALLY PROVED THAT AI LAYOFFS WILL DESTROY THE ECONOMY.. AND EVERY CEO ALREADY KNOWS IT.. BUT NONE OF THEM CAN STOP.. Two researchers from UPenn and Boston University just published a paper called "The AI Layoff Trap".. They proved something terrifying.. Every company replacing workers with AI is also firing its own customers.. Every laid-off employee is someone who used to spend money.. When enough people lose their jobs.. Nobody can afford to buy anything.. And the companies that fired everyone go bankrupt selling products to an economy with no purchasing power.. Every CEO can see this coming.. The math is obvious.. Fire workers.. Lose customers.. Lose revenue.. Collapse.. But here's the trap.. No company can afford to stop.. If you don't automate.. Your competitor will.. They cut costs.. Undercut your prices.. Steal your market share.. And you die anyway.. So every company automates.. Knowing it's collectively suicidal.. Because the alternative is dying alone while everyone else survives.. It's a Prisoner's Dilemma.. And the researchers proved it mathematically.. The numbers are already stacking up.. Block cut nearly half its 10,000 employees this year.. CEO Jack Dorsey said AI made those roles unnecessary and that "within the next year, the majority of companies will reach the same conclusion".. Salesforce replaced 4,000 customer support agents with AI.. Goldman Sachs deployed an AI coder that lets one senior engineer do the work of a five-person team.. Over 100,000 tech workers were laid off in 2025 alone.. AI was cited as the primary driver in more than half the cases.. 80% of US workers hold jobs with tasks susceptible to AI automation.. And here's what should scare policymakers.. The researchers tested every proposed solution.. Universal Basic Income.. Doesn't fix it.. It raises living standards but doesn't change a single company's incentive to automate.. Capital income taxes.. Don't fix it.. They change profit levels but not the per-task decision to replace a human.. Worker equity and profit sharing.. Narrows the gap but can't close it.. Collective bargaining.. Can't fix it.. Because automating is a dominant strategy.. No voluntary agreement between companies is self-enforcing.. Only one thing works.. A Pigouvian automation tax.. A per-task charge that forces every company to pay for the demand it destroys when it fires a worker.. The researchers call it a "Red Queen effect".. Better AI doesn't solve the problem.. It makes it worse.. Because every company sees a bigger market share gain from automating faster than rivals.. But at the end.. Everyone automates equally.. The gains cancel out.. And the only thing left is more destroyed demand.. The paper's conclusion is devastating.. This isn't a transfer from workers to company owners.. Both sides lose.. Workers lose their income.. Companies lose their customers.. It's a deadweight loss that harms everyone.. And no market force can break the cycle.. The AI layoff trap isn't a prediction.. It's already happening.. And the math says it won't stop on its own.