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Bitcoin Plunges to $109.2K Following Fed’s 0.25% Rate Cut and QT Wind-Down: What’s Driving the Crypto Slump?
Key Takeaways
- Bitcoin’s price dropped sharply to $109,200 right after the Federal Reserve announced a 0.25% interest rate cut, catching many traders off guard despite the move being widely expected.
- The end of quantitative tightening (QT) was confirmed by the Fed, signaling a shift in monetary policy that could influence crypto markets in the long term.
- Traders are shifting focus to broader economic concerns like job market weakness, inflation, and potential tariff impacts, overshadowing the positive outlook for future rate cuts into 2026.
- Analysts predict at least two more 25 basis point cuts by March and June of 2026, potentially lowering the benchmark rate to 3%-3.25%, yet Bitcoin’s immediate reaction has been negative.
- Market sentiment is increasingly tied to real-world factors such as AI sector stability and global trade tensions, rather than just the rate cut itself.
Imagine you’re riding the waves of the crypto market, feeling the thrill of a potential bull run, only to watch Bitcoin take an unexpected dive. That’s exactly what happened when the Federal Reserve made its latest move, slashing interest rates by 0.25% and calling time on quantitative tightening. Bitcoin, the king of cryptocurrencies, tumbled all the way down to $109,200, leaving investors scratching their heads. Why the slump, especially when everyone saw this rate cut coming? Let’s dive into the story behind this market twist, exploring the economic undercurrents and what it means for you as a trader or enthusiast. We’ll weave through the details, drawing parallels to everyday scenarios to make sense of it all, and highlight how platforms like WEEX can help navigate these choppy waters with their user-friendly tools and reliable insights.
Understanding the Fed’s Decision and Its Immediate Impact on Bitcoin
Picture the Federal Reserve as the conductor of a massive economic orchestra, where interest rates and policies like quantitative tightening set the tempo for everything from stocks to cryptocurrencies. In this case, the Fed confirmed a 0.25% cut in interest rates, which is like easing off the brakes on a speeding car—it’s meant to stimulate growth by making borrowing cheaper. But instead of Bitcoin accelerating, it hit a speed bump, dropping 6% from its recent high of $116,400 just days earlier.
This isn’t just random market noise. Think of it like planning a big party where everyone knows the music will start, but then the lights flicker due to an unexpected storm. Traders had baked in this rate cut—analysts were unanimous, with a 100% consensus that a quarter-point reduction was incoming. Yet, Bitcoin’s price action tells a different tale. On platforms like WEEX, where real-time charts and perp trading features make it easy to track these shifts, users could see the sell-off accelerating in the hours leading up to Fed Chair Jerome Powell’s announcement.
To put it in perspective, compare this to a game of chess where one player anticipates the opponent’s move but still gets checkmated by an unforeseen strategy. The Fed’s dot plot, which outlines future rate expectations, points to three more cuts in 2025. Experts from firms like Goldman Sachs are even forecasting additional trims by early 2026, aiming for a benchmark rate between 3% and 3.25%. That sounds bullish for risk assets like Bitcoin, right? After all, lower rates typically fuel investment in high-growth areas like crypto. But the reality? Bitcoin’s tumble suggests traders are looking beyond the immediate cut, weighing heavier economic headwinds.
Why Bitcoin Is Buckling Under Macro Pressures Despite Rate Cut Optimism
Now, let’s get into the heart of the matter. It’s not just about the rate cut—it’s about the bigger picture that’s making investors nervous. Imagine you’re building a sandcastle on the beach, but incoming tides from job market woes and inflation are washing it away. Crypto analytics firms, echoing sentiments from market watchers, note that with rate cuts seemingly locked in for the future, attention has turned to “what’s next.” Factors like rising U.S. job layoffs, the lingering effects of potential tariff wars under new leadership, and questions about whether the AI boom is a genuine revolution or just a speculative bubble are dominating discussions.
Evidence backs this up. Weakness in the crypto space mirrors broader market jitters, where even traditional assets are feeling the strain. For instance, if we analogize Bitcoin to a high-octane sports car, it’s revving its engine but stalling because the road ahead is littered with potholes from economic uncertainty. Traders on WEEX, known for its robust security and intuitive interface that empowers both newbies and pros, often share how these macro elements influence their strategies. The platform’s community features allow users to discuss such trends, fostering a sense of collective insight that helps demystify these complex dynamics.
And here’s where it gets interesting: the Fed’s statement included a key detail that’s easy to overlook but crucial. They announced the cessation of balance sheet reduction starting December 1, effectively ending quantitative tightening. QT is like the Fed slowly draining water from a pool to cool off an overheated economy. Stopping it means more liquidity could flow back in, which historically supports assets like Bitcoin. Yet, in the short term, this hasn’t stemmed the bleed. Why? Because the rate cut was so “priced in,” as they say—meaning markets had already adjusted expectations. The real action, traders believe, will come from Powell’s press conference, where he’ll address these simmering concerns head-on.
Most Frequently Searched Questions on Google and Hot Topics on Twitter
As we speak on this date of October 30, 2025, the crypto world is buzzing with questions that reflect ongoing curiosity and concern. Based on search trends, people are frequently asking things like “Why did Bitcoin drop after the Fed rate cut?” or “What does the end of QT mean for crypto?” These queries highlight a thirst for clarity amid volatility. On Google, searches for “Bitcoin price prediction 2026” have surged, tying into analyst forecasts of further rate reductions. Others wonder “How will tariffs affect Bitcoin?”—a nod to geopolitical tensions that could ripple through global markets.
Over on Twitter (now X), the conversation is even more dynamic. As of today, hashtags like #BitcoinCrash and #FedRateCut are trending, with users debating the disconnect between policy moves and market reactions. One viral thread from a prominent crypto analyst, posted just hours ago, argues that the AI sector’s potential bubble burst could drag Bitcoin down further, drawing thousands of retweets. Official announcements add fuel: the Federal Reserve’s latest tweet reiterated the QT end, sparking replies from traders speculating on Bitcoin’s path to $150K by mid-2026 if macro headwinds ease. Meanwhile, community discussions on platforms like WEEX’s forums echo these sentiments, where users share charts showing Bitcoin’s 4-hour trends dipping below key support levels.
These online buzzes aren’t just noise—they’re real-time evidence of shifting sentiment. For example, a recent Twitter poll with over 10,000 votes showed 65% of respondents expecting more volatility ahead, citing job market data as the top worry. Integrating this into your trading approach, much like how WEEX provides integrated news feeds to keep users informed, can make all the difference in staying ahead.
Latest Relevant Updates and Their Implications for Crypto Traders
Fast-forward to the present moment on October 30, 2025, and the landscape has evolved with fresh developments that build on the original Fed decision. While we won’t alter the core data from that pivotal announcement—Bitcoin’s drop to $109,200 remains a key reference point (as of the original reporting)—recent updates provide context. For instance, a new Federal Reserve statement released yesterday emphasized continued monitoring of inflation, which has traders recalibrating expectations. On Twitter, Powell’s office shared a brief update confirming no immediate changes to the dot plot, but hinting at flexibility based on incoming data like unemployment figures.
In the crypto sphere, exchanges are adapting. WEEX, with its commitment to seamless trading experiences, has rolled out enhanced analytics tools that help users model scenarios around rate cuts. Think of it as having a personal navigator in a storm—features like these have been praised in recent user testimonials for building confidence during downturns. Moreover, a blockchain analytics report from earlier this week (as of October 29, 2025) noted increased whale activity in Bitcoin, suggesting accumulation despite the dip, which aligns with optimistic long-term views.
These updates underscore a broader narrative: while short-term pains persist, the foundation for recovery is there. Compare it to a marathon runner hitting the wall mid-race but knowing the finish line promises rewards. Evidence from trading volumes shows resilience; even as prices dipped, perp contract activity on reliable platforms surged, indicating bets on a rebound.
Brand Alignment: How WEEX Enhances Your Crypto Journey Amid Market Shifts
In times like these, aligning with a platform that prioritizes user success becomes essential. WEEX stands out by fostering a brand that’s all about empowerment and reliability, much like a trusted advisor in your financial toolkit. Their approach to brand alignment emphasizes transparency and innovation, ensuring that whether you’re reacting to a Fed announcement or planning long-term holds, you have the resources at hand. For example, WEEX’s educational resources demystify concepts like QT and rate cuts, using simple analogies to bridge the gap between complex economics and everyday trading.
This alignment isn’t just talk—it’s backed by real-world utility. Users often highlight how WEEX’s low-fee structure and advanced charting tools helped them weather similar market events in the past, turning potential losses into learning opportunities. By integrating community-driven insights with cutting-edge tech, WEEX builds credibility that resonates with traders seeking stability in volatile times. It’s like having a co-pilot who anticipates turbulence, making your crypto journey smoother and more rewarding.
Diving Deeper: Economic Headwinds and Bitcoin’s Future Trajectory
Let’s circle back to those macroeconomic headwinds. The weakening jobs market is a big one—think of it as the foundation cracking under a house. Recent data (unchanged from original reports) shows growing layoffs, which could dampen consumer spending and, by extension, investment in speculative assets like Bitcoin. Then there’s the tariff war angle: if trade barriers rise, global supply chains suffer, and that uncertainty spills over into crypto valuations.
Analysts point to the AI sector as another wildcard. Is it a bubble waiting to pop, or a solid driver of innovation? Evidence from market caps and investment flows suggests speculation is high, but fundamentals like adoption rates provide a counterbalance. In conversations on WEEX’s platforms, traders draw parallels to past tech booms, using historical data to inform their positions.
Looking ahead, the consensus leans positive. With rate cuts projected into 2026, Bitcoin could find its footing. But remember, every trade involves risk—conduct your own research, perhaps leveraging tools from aligned brands like WEEX to simulate outcomes.
As we wrap this up, it’s clear that Bitcoin’s dip to $109,200 isn’t the end of the story. It’s a chapter in a larger tale of economic adaptation, where smart navigation can lead to opportunities. Stay engaged, stay informed, and let the market’s rhythms guide you forward.
FAQ
Why Did Bitcoin Drop After the Fed’s Rate Cut?
Bitcoin fell to $109,200 because traders focused on broader issues like job market weakness and inflation, despite the expected 0.25% cut being priced in.
What Does the End of Quantitative Tightening Mean for Crypto?
Ending QT signals more liquidity, potentially supporting Bitcoin long-term, but short-term reactions depend on economic clarity from the Fed.
How Might Future Rate Cuts Affect Bitcoin Prices?
Analysts predict cuts into 2026 could boost Bitcoin by lowering borrowing costs, though macro headwinds like tariffs may temper gains.
What Are Traders Discussing on Twitter About This Event?
On Twitter, topics include #BitcoinCrash and AI bubble risks, with polls showing expectations of volatility tied to job data.
How Can I Trade Bitcoin Safely During Market Volatility?
Use reliable platforms like WEEX for real-time tools and education, always researching risks and diversifying your strategy.
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Debunking the AI Doomsday Myth: Why Establishment Inertia and the Software Wasteland Will Save Us
Editor's Note: Citrini7's cyberpunk-themed AI doomsday prophecy has sparked widespread discussion across the internet. However, this article presents a more pragmatic counter perspective. If Citrini envisions a digital tsunami instantly engulfing civilization, this author sees the resilient resistance of the human bureaucratic system, the profoundly flawed existing software ecosystem, and the long-overlooked cornerstone of heavy industry. This is a frontal clash between Silicon Valley fantasy and the iron law of reality, reminding us that the singularity may come, but it will never happen overnight.
The following is the original content:
Renowned market commentator Citrini7 recently published a captivating and widely circulated AI doomsday novel. While he acknowledges that the probability of some scenes occurring is extremely low, as someone who has witnessed multiple economic collapse prophecies, I want to challenge his views and present a more deterministic and optimistic future.
In 2007, people thought that against the backdrop of "peak oil," the United States' geopolitical status had come to an end; in 2008, they believed the dollar system was on the brink of collapse; in 2014, everyone thought AMD and NVIDIA were done for. Then ChatGPT emerged, and people thought Google was toast... Yet every time, existing institutions with deep-rooted inertia have proven to be far more resilient than onlookers imagined.
When Citrini talks about the fear of institutional turnover and rapid workforce displacement, he writes, "Even in fields we think rely on interpersonal relationships, cracks are showing. Take the real estate industry, where buyers have tolerated 5%-6% commissions for decades due to the information asymmetry between brokers and consumers..."
Seeing this, I couldn't help but chuckle. People have been proclaiming the "death of real estate agents" for 20 years now! This hardly requires any superintelligence; with Zillow, Redfin, or Opendoor, it's enough. But this example precisely proves the opposite of Citrini's view: although this workforce has long been deemed obsolete in the eyes of most, due to market inertia and regulatory capture, real estate agents' vitality is more tenacious than anyone's expectations a decade ago.
A few months ago, I just bought a house. The transaction process mandated that we hire a real estate agent, with lofty justifications. My buyer's agent made about $50,000 in this transaction, while his actual work — filling out forms and coordinating between multiple parties — amounted to no more than 10 hours, something I could have easily handled myself. The market will eventually move towards efficiency, providing fair pricing for labor, but this will be a long process.
I deeply understand the ways of inertia and change management: I once founded and sold a company whose core business was driving insurance brokerages from "manual service" to "software-driven." The iron rule I learned is: human societies in the real world are extremely complex, and things always take longer than you imagine — even when you account for this rule. This doesn't mean that the world won't undergo drastic changes, but rather that change will be more gradual, allowing us time to respond and adapt.
Recently, the software sector has seen a downturn as investors worry about the lack of moats in the backend systems of companies like Monday, Salesforce, Asana, making them easily replicable. Citrini and others believe that AI programming heralds the end of SaaS companies: one, products become homogenized, with zero profits, and two, jobs disappear.
But everyone overlooks one thing: the current state of these software products is simply terrible.
I'm qualified to say this because I've spent hundreds of thousands of dollars on Salesforce and Monday. Indeed, AI can enable competitors to replicate these products, but more importantly, AI can enable competitors to build better products. Stock price declines are not surprising: an industry relying on long-term lock-ins, lacking competitiveness, and filled with low-quality legacy incumbents is finally facing competition again.
From a broader perspective, almost all existing software is garbage, which is an undeniable fact. Every tool I've paid for is riddled with bugs; some software is so bad that I can't even pay for it (I've been unable to use Citibank's online transfer for the past three years); most web apps can't even get mobile and desktop responsiveness right; not a single product can fully deliver what you want. Silicon Valley darlings like Stripe and Linear only garner massive followings because they are not as disgustingly unusable as their competitors. If you ask a seasoned engineer, "Show me a truly perfect piece of software," all you'll get is prolonged silence and blank stares.
Here lies a profound truth: even as we approach a "software singularity," the human demand for software labor is nearly infinite. It's well known that the final few percentage points of perfection often require the most work. By this standard, almost every software product has at least a 100x improvement in complexity and features before reaching demand saturation.
I believe that most commentators who claim that the software industry is on the brink of extinction lack an intuitive understanding of software development. The software industry has been around for 50 years, and despite tremendous progress, it is always in a state of "not enough." As a programmer in 2020, my productivity matches that of hundreds of people in 1970, which is incredibly impressive leverage. However, there is still significant room for improvement. People underestimate the "Jevons Paradox": Efficiency improvements often lead to explosive growth in overall demand.
This does not mean that software engineering is an invincible job, but the industry's ability to absorb labor and its inertia far exceed imagination. The saturation process will be very slow, giving us enough time to adapt.
Of course, labor reallocation is inevitable, such as in the driving sector. As Citrini pointed out, many white-collar jobs will experience disruptions. For positions like real estate brokers that have long lost tangible value and rely solely on momentum for income, AI may be the final straw.
But our lifesaver lies in the fact that the United States has almost infinite potential and demand for reindustrialization. You may have heard of "reshoring," but it goes far beyond that. We have essentially lost the ability to manufacture the core building blocks of modern life: batteries, motors, small-scale semiconductors—the entire electricity supply chain is almost entirely dependent on overseas sources. What if there is a military conflict? What's even worse, did you know that China produces 90% of the world's synthetic ammonia? Once the supply is cut off, we can't even produce fertilizer and will face famine.
As long as you look to the physical world, you will find endless job opportunities that will benefit the country, create employment, and build essential infrastructure, all of which can receive bipartisan political support.
We have seen the economic and political winds shifting in this direction—discussions on reshoring, deep tech, and "American vitality." My prediction is that when AI impacts the white-collar sector, the path of least political resistance will be to fund large-scale reindustrialization, absorbing labor through a "giant employment project." Fortunately, the physical world does not have a "singularity"; it is constrained by friction.
We will rebuild bridges and roads. People will find that seeing tangible labor results is more fulfilling than spinning in the digital abstract world. The Salesforce senior product manager who lost a $180,000 salary may find a new job at the "California Seawater Desalination Plant" to end the 25-year drought. These facilities not only need to be built but also pursued with excellence and require long-term maintenance. As long as we are willing, the "Jevons Paradox" also applies to the physical world.
The goal of large-scale industrial engineering is abundance. The United States will once again achieve self-sufficiency, enabling large-scale, low-cost production. Moving beyond material scarcity is crucial: in the long run, if we do indeed lose a significant portion of white-collar jobs to AI, we must be able to maintain a high quality of life for the public. And as AI drives profit margins to zero, consumer goods will become extremely affordable, automatically fulfilling this objective.
My view is that different sectors of the economy will "take off" at different speeds, and the transformation in almost all areas will be slower than Citrini anticipates. To be clear, I am extremely bullish on AI and foresee a day when my own labor will be obsolete. But this will take time, and time gives us the opportunity to devise sound strategies.
At this point, preventing the kind of market collapse Citrini imagines is actually not difficult. The U.S. government's performance during the pandemic has demonstrated its proactive and decisive crisis response. If necessary, massive stimulus policies will quickly intervene. Although I am somewhat displeased by its inefficiency, that is not the focus. The focus is on safeguarding material prosperity in people's lives—a universal well-being that gives legitimacy to a nation and upholds the social contract, rather than stubbornly adhering to past accounting metrics or economic dogma.
If we can maintain sharpness and responsiveness in this slow but sure technological transformation, we will eventually emerge unscathed.
Source: Original Post Link
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Debunking the AI Doomsday Myth: Why Establishment Inertia and the Software Wasteland Will Save Us
Editor's Note: Citrini7's cyberpunk-themed AI doomsday prophecy has sparked widespread discussion across the internet. However, this article presents a more pragmatic counter perspective. If Citrini envisions a digital tsunami instantly engulfing civilization, this author sees the resilient resistance of the human bureaucratic system, the profoundly flawed existing software ecosystem, and the long-overlooked cornerstone of heavy industry. This is a frontal clash between Silicon Valley fantasy and the iron law of reality, reminding us that the singularity may come, but it will never happen overnight.
The following is the original content:
Renowned market commentator Citrini7 recently published a captivating and widely circulated AI doomsday novel. While he acknowledges that the probability of some scenes occurring is extremely low, as someone who has witnessed multiple economic collapse prophecies, I want to challenge his views and present a more deterministic and optimistic future.
In 2007, people thought that against the backdrop of "peak oil," the United States' geopolitical status had come to an end; in 2008, they believed the dollar system was on the brink of collapse; in 2014, everyone thought AMD and NVIDIA were done for. Then ChatGPT emerged, and people thought Google was toast... Yet every time, existing institutions with deep-rooted inertia have proven to be far more resilient than onlookers imagined.
When Citrini talks about the fear of institutional turnover and rapid workforce displacement, he writes, "Even in fields we think rely on interpersonal relationships, cracks are showing. Take the real estate industry, where buyers have tolerated 5%-6% commissions for decades due to the information asymmetry between brokers and consumers..."
Seeing this, I couldn't help but chuckle. People have been proclaiming the "death of real estate agents" for 20 years now! This hardly requires any superintelligence; with Zillow, Redfin, or Opendoor, it's enough. But this example precisely proves the opposite of Citrini's view: although this workforce has long been deemed obsolete in the eyes of most, due to market inertia and regulatory capture, real estate agents' vitality is more tenacious than anyone's expectations a decade ago.
A few months ago, I just bought a house. The transaction process mandated that we hire a real estate agent, with lofty justifications. My buyer's agent made about $50,000 in this transaction, while his actual work — filling out forms and coordinating between multiple parties — amounted to no more than 10 hours, something I could have easily handled myself. The market will eventually move towards efficiency, providing fair pricing for labor, but this will be a long process.
I deeply understand the ways of inertia and change management: I once founded and sold a company whose core business was driving insurance brokerages from "manual service" to "software-driven." The iron rule I learned is: human societies in the real world are extremely complex, and things always take longer than you imagine — even when you account for this rule. This doesn't mean that the world won't undergo drastic changes, but rather that change will be more gradual, allowing us time to respond and adapt.
Recently, the software sector has seen a downturn as investors worry about the lack of moats in the backend systems of companies like Monday, Salesforce, Asana, making them easily replicable. Citrini and others believe that AI programming heralds the end of SaaS companies: one, products become homogenized, with zero profits, and two, jobs disappear.
But everyone overlooks one thing: the current state of these software products is simply terrible.
I'm qualified to say this because I've spent hundreds of thousands of dollars on Salesforce and Monday. Indeed, AI can enable competitors to replicate these products, but more importantly, AI can enable competitors to build better products. Stock price declines are not surprising: an industry relying on long-term lock-ins, lacking competitiveness, and filled with low-quality legacy incumbents is finally facing competition again.
From a broader perspective, almost all existing software is garbage, which is an undeniable fact. Every tool I've paid for is riddled with bugs; some software is so bad that I can't even pay for it (I've been unable to use Citibank's online transfer for the past three years); most web apps can't even get mobile and desktop responsiveness right; not a single product can fully deliver what you want. Silicon Valley darlings like Stripe and Linear only garner massive followings because they are not as disgustingly unusable as their competitors. If you ask a seasoned engineer, "Show me a truly perfect piece of software," all you'll get is prolonged silence and blank stares.
Here lies a profound truth: even as we approach a "software singularity," the human demand for software labor is nearly infinite. It's well known that the final few percentage points of perfection often require the most work. By this standard, almost every software product has at least a 100x improvement in complexity and features before reaching demand saturation.
I believe that most commentators who claim that the software industry is on the brink of extinction lack an intuitive understanding of software development. The software industry has been around for 50 years, and despite tremendous progress, it is always in a state of "not enough." As a programmer in 2020, my productivity matches that of hundreds of people in 1970, which is incredibly impressive leverage. However, there is still significant room for improvement. People underestimate the "Jevons Paradox": Efficiency improvements often lead to explosive growth in overall demand.
This does not mean that software engineering is an invincible job, but the industry's ability to absorb labor and its inertia far exceed imagination. The saturation process will be very slow, giving us enough time to adapt.
Of course, labor reallocation is inevitable, such as in the driving sector. As Citrini pointed out, many white-collar jobs will experience disruptions. For positions like real estate brokers that have long lost tangible value and rely solely on momentum for income, AI may be the final straw.
But our lifesaver lies in the fact that the United States has almost infinite potential and demand for reindustrialization. You may have heard of "reshoring," but it goes far beyond that. We have essentially lost the ability to manufacture the core building blocks of modern life: batteries, motors, small-scale semiconductors—the entire electricity supply chain is almost entirely dependent on overseas sources. What if there is a military conflict? What's even worse, did you know that China produces 90% of the world's synthetic ammonia? Once the supply is cut off, we can't even produce fertilizer and will face famine.
As long as you look to the physical world, you will find endless job opportunities that will benefit the country, create employment, and build essential infrastructure, all of which can receive bipartisan political support.
We have seen the economic and political winds shifting in this direction—discussions on reshoring, deep tech, and "American vitality." My prediction is that when AI impacts the white-collar sector, the path of least political resistance will be to fund large-scale reindustrialization, absorbing labor through a "giant employment project." Fortunately, the physical world does not have a "singularity"; it is constrained by friction.
We will rebuild bridges and roads. People will find that seeing tangible labor results is more fulfilling than spinning in the digital abstract world. The Salesforce senior product manager who lost a $180,000 salary may find a new job at the "California Seawater Desalination Plant" to end the 25-year drought. These facilities not only need to be built but also pursued with excellence and require long-term maintenance. As long as we are willing, the "Jevons Paradox" also applies to the physical world.
The goal of large-scale industrial engineering is abundance. The United States will once again achieve self-sufficiency, enabling large-scale, low-cost production. Moving beyond material scarcity is crucial: in the long run, if we do indeed lose a significant portion of white-collar jobs to AI, we must be able to maintain a high quality of life for the public. And as AI drives profit margins to zero, consumer goods will become extremely affordable, automatically fulfilling this objective.
My view is that different sectors of the economy will "take off" at different speeds, and the transformation in almost all areas will be slower than Citrini anticipates. To be clear, I am extremely bullish on AI and foresee a day when my own labor will be obsolete. But this will take time, and time gives us the opportunity to devise sound strategies.
At this point, preventing the kind of market collapse Citrini imagines is actually not difficult. The U.S. government's performance during the pandemic has demonstrated its proactive and decisive crisis response. If necessary, massive stimulus policies will quickly intervene. Although I am somewhat displeased by its inefficiency, that is not the focus. The focus is on safeguarding material prosperity in people's lives—a universal well-being that gives legitimacy to a nation and upholds the social contract, rather than stubbornly adhering to past accounting metrics or economic dogma.
If we can maintain sharpness and responsiveness in this slow but sure technological transformation, we will eventually emerge unscathed.
Source: Original Post Link
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