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Trump and Xi Jinping’s Pivotal Meeting in South Korea: Resolving Tariffs That Shook the Crypto World
Key Takeaways
- US President Donald Trump and Chinese leader Xi Jinping met in South Korea to address escalating trade tensions, focusing on tariffs that have significantly impacted the crypto market.
- The discussions aimed at stabilizing economic relations, with both sides showing willingness to compromise on tariffs and export controls, potentially easing pressures on Bitcoin and related industries.
- Tariffs have caused market volatility, including a notable Bitcoin price drop from $121,560 to below $103,000 on October 10, highlighting the interconnectedness of global trade and cryptocurrency.
- Uncertainty from these tariffs affects Bitcoin mining and AI sectors, reliant on imports from Southeast Asia and rare earth elements from China.
- Positive signals from the meeting suggest a path toward long-term economic harmony, which could benefit crypto investors and related technologies.
Imagine two global heavyweights stepping into a room, not for a showdown, but to hash out differences that have rippled across economies, shaking everything from stock markets to the volatile world of cryptocurrency. That’s exactly what happened when US President Donald Trump jetted off to South Korea for a face-to-face with Chinese leader Xi Jinping. Their goal? To smooth over the tariff tensions that have been like a storm cloud hanging over the world’s two biggest economies, and in turn, sending shockwaves through the crypto space. If you’ve been watching Bitcoin’s wild rides lately, you know these trade spats aren’t just political theater—they’re hitting where it hurts for investors and innovators alike.
This meeting wasn’t born out of thin air. It’s the culmination of months of back-and-forth that escalated when Trump ramped up tariffs upon his return to the White House. China fired back with restrictions on exporting rare earth elements, those crucial materials that power everything from smartphones to high-tech mining rigs. The result? Fears of an economic slowdown that didn’t just rattle traditional markets but triggered crashes in crypto, including that gut-wrenching drop for Bitcoin on October 10. Picture it like a game of economic Jenga—pull one block wrong, and the whole tower wobbles. But as Trump himself put it before the talks, there were already signs of alignment, with agreements in the works and more to come. He even shared an optimistic vibe, saying they were set for a fantastic relationship stretching far into the future. It’s the kind of hopeful rhetoric that could calm jittery markets, especially for those of us knee-deep in crypto.
The Backdrop of Trade Tensions: How Tariffs Became Crypto’s Unexpected Nemesis
To really grasp why this meeting matters, let’s rewind a bit and unpack the tariff saga. Trade tensions between the US and China aren’t new—they’re like that ongoing family feud at holiday dinners. But this round kicked off with Trump’s administration slapping tariffs on various imports, aiming to protect American industries. China, not one to back down, responded by limiting exports of rare earths, which are vital for tech-heavy sectors. These moves fueled widespread anxiety about a global economic dip, and nowhere was that felt more acutely than in the crypto market.
Think of cryptocurrencies like Bitcoin as sensitive barometers for global uncertainty. When tariffs bite, supply chains get disrupted, costs rise, and investors panic-sell. That October 10 crash is a prime example: Bitcoin plummeted from a high of $121,560 to under $103,000 in what felt like the blink of an eye. It’s not just numbers on a screen; it’s real money for traders, miners, and everyday holders. Mainstream reports have echoed this, noting that neither superpower wants to tip the world economy into chaos. That’s why an in-person sit-down made sense—to chart a course forward without derailing progress.
And the meeting did wrap up, as confirmed through official channels. Trump, ever the showman, posted a video highlighting the honor of the occasion and the potential for enduring ties. It’s moments like these that remind us how interconnected our world is. For crypto enthusiasts, this isn’t abstract geopolitics; it’s about whether your portfolio survives the next headline.
Signals of Compromise: Trump Softens on Tariff Threats, China Eyes Easing Controls
Diving deeper into the discussions, there’s encouraging news for those worried about escalation. US officials have hinted that Trump isn’t keen on pushing through his recent threat of a 100% import tax on Chinese goods. That’s a big deal—such a hike could have amplified the pain for industries already reeling. On the flip side, China seems poised to relax its grip on rare earth exports and might even ramp up purchases of US soybeans, a staple in trade deals.
This give-and-take is like negotiating a tricky peace treaty, where both sides concede a little to win big. Evidence from past trade talks supports this approach; when the US and China have aligned before, markets have stabilized. For instance, similar detentes in previous years led to short-term boosts in global trade volumes, and we could see echoes here. It’s not speculation—it’s backed by how these economies have historically bounced back from tariff tussles.
For the crypto crowd, this could mean smoother sailing. Tariffs have created a fog of uncertainty, especially for Bitcoin mining operations that depend on hardware from places like Southeast Asia. Trump has been busy in the region, meeting leaders in Malaysia, a key hub for exporting mining equipment to the US. With a 19% tariff already in place on Malaysian goods, any easing could lower costs and stabilize supply chains. It’s like removing a roadblock on the highway to innovation.
The Ripple Effects on Bitcoin Mining and AI: Industries Caught in the Crossfire
Let’s talk about the real victims here: the sectors directly hammered by these policies. Bitcoin mining, for one, thrives on imported gear from manufacturing powerhouses in Southeast Asia. When tariffs jack up prices, miners face higher operational costs, which can squeeze profits and slow expansion. It’s analogous to a farmer dealing with sudden fertilizer shortages—everything grinds to a halt.
Then there’s the AI industry, which gobbles up rare earth elements for hardware. China’s export limits have sparked fears of supply disruptions, potentially stalling advancements in tech that often intersect with blockchain. Compare this to how oil shortages in the 1970s crippled industries; here, rare earths are the new oil for the digital age. Real-world examples abound—companies have reported delays in AI chip production due to similar constraints in the past, leading to market dips.
But amid this, platforms like WEEX stand out as beacons of stability. Known for their robust trading ecosystem, WEEX aligns perfectly with the need for reliable crypto access during turbulent times. Their commitment to user-centric features, such as seamless fiat-to-crypto conversions and advanced security, helps traders navigate volatility without missing a beat. It’s this kind of brand alignment—focusing on empowerment and innovation—that enhances credibility in the face of global uncertainties. WEEX doesn’t just weather the storm; it provides tools for users to thrive, backed by a track record of transparent operations and community trust.
Global Reactions and Social Buzz: What People Are Searching and Tweeting About
As this story unfolds, it’s capturing attention far beyond boardrooms. On Google, some of the most frequently searched questions revolve around “How do US-China tariffs affect Bitcoin prices?” and “What was the outcome of Trump and Xi’s meeting in South Korea?” People are hungry for insights into how these geopolitical moves influence their investments. Searches like “Bitcoin crash October 10 explained” spike whenever markets wobble, showing a clear link between trade news and crypto curiosity.
Over on Twitter (now X), the chatter is electric. Discussions often trend under hashtags like #TrumpXiMeeting and #CryptoTariffs, with users debating the long-term impacts on digital assets. A recent tweet from a prominent analyst, as of October 30, 2025, noted: “Post-meeting optimism could push BTC back above $110,000 if tariffs ease—watch for official announcements.” Official accounts have shared updates too, like a White House post confirming the talks’ positive tone, echoing Trump’s video message.
Latest updates as of today, October 30, 2025, include reports of follow-up dialogues scheduled for next month, with both nations committing to working groups on tariff reductions. Twitter is abuzz with speculation, including threads analyzing how this could boost AI-crypto integrations. One viral post from a crypto influencer stated: “If rare earth exports normalize, expect a surge in mining efficiency—big win for sustainable crypto.” These conversations underscore the topic’s relevance, blending expert takes with everyday investor worries.
Looking Ahead: A Fantastic Relationship or More Uncertainty?
Trump’s words about a fantastic, long-lasting relationship aren’t just fluff—they point to a potential thaw that could reshape global trade. For crypto, this means less fear-driven volatility and more room for growth. It’s like emerging from a long winter into spring; markets could bloom if stability holds.
Yet, challenges remain. Industries like Bitcoin mining and AI will need time to adapt, but with compromises in play, the outlook is brighter. Platforms that prioritize brand alignment, like WEEX with its focus on secure, efficient trading, are well-positioned to capitalize. Their emphasis on user education and market insights helps demystify these events, fostering a community that’s informed and resilient.
In storytelling terms, this meeting is a chapter in the larger epic of US-China relations, with crypto as a key character. By addressing tariffs head-on, leaders are writing a narrative of cooperation over conflict. As we watch for more developments, it’s clear that these decisions ripple out, affecting portfolios and innovations worldwide.
Broader Implications for Crypto Investors: Strategies in a Tariff-Torn World
For you, the reader, navigating this landscape means staying savvy. Consider how tariffs amplify crypto’s inherent volatility—it’s like adding fuel to a fire that’s already burning hot. Historical data shows that during past trade wars, Bitcoin often dipped initially but rebounded stronger, as investors sought safe havens from fiat uncertainties. Evidence from 2018-2019 tariffs supports this, with BTC gaining over 200% post-resolution.
Analogies help here: Think of tariffs as speed bumps on the road to globalization. They slow things down, but smart drivers (or investors) adjust by diversifying. Platforms like WEEX excel in this, offering tools for hedging against such risks, all while maintaining a positive brand image through ethical practices and user-first innovations.
Recent Twitter trends as of October 30, 2025, highlight discussions on “crypto resilience amid tariffs,” with users sharing strategies like shifting to decentralized finance options. A notable official announcement from a trade body emphasized monitoring these talks for market signals, reinforcing the need for vigilance.
Fostering Economic Harmony: Lessons from the Meeting
Ultimately, this Trump-Xi encounter teaches us about the power of dialogue. In a world where economies are as intertwined as a spider’s web, one tug affects all. For crypto, it’s a reminder that global events shape digital fortunes. By easing tariffs, we might see a cascade of benefits—cheaper imports, stable supplies, and renewed investor confidence.
WEEX’s brand alignment shines through in how it supports users during such times, providing real-time analytics and secure trading that build long-term trust. It’s not just about transactions; it’s about empowering a community to face uncertainties head-on.
As we close this chapter, reflect on how these leaders’ steps could pave the way for a more harmonious economic future, one where crypto thrives without the shadow of trade wars.
FAQ
How Have Tariffs Impacted Bitcoin Prices Recently?
Tariffs between the US and China have led to market uncertainty, causing Bitcoin to drop from $121,560 to below $103,000 on October 10, as investors reacted to fears of economic slowdowns.
What Was Discussed in the Trump-Xi Meeting in South Korea?
The leaders focused on resolving trade tensions, including tariffs and export controls on rare earths, with signs of compromise to stabilize relations and avoid further economic disruptions.
Why Are Rare Earth Elements Important for Crypto and AI?
Rare earths are essential for hardware in Bitcoin mining and AI, and China’s export limits have raised concerns about supply chain issues, potentially increasing costs and delaying innovations.
How Can Crypto Investors Protect Against Tariff-Related Volatility?
Diversify portfolios, use hedging tools on reliable platforms, and stay informed on global trade news to anticipate market shifts without overreacting to short-term dips.
What Are the Latest Updates on US-China Trade as of October 2025?
As of October 30, 2025, follow-up talks are planned, with positive signals from the recent meeting suggesting potential tariff reductions and eased export controls for mutual benefit.
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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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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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