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Solana ETFs Are Here, But Why Isn’t SOL Price Soaring Past $200?
Key Takeaways
- Solana ETFs have launched, yet SOL price remains stuck below $200, reminiscent of Ethereum’s post-ETF performance where initial hype didn’t immediately translate to price surges.
- Investors piled into SOL futures and holdings expecting ETF approvals to drive prices toward $300 or higher, but market events like the US government shutdown and liquidations kept gains in check.
- New Solana ETFs from Grayscale and Bitwise show strong early trading volumes, with one starting at $222 million in assets and reaching $72 million in volume by day two.
- Analysts view the current SOL price action as temporary de-risking ahead of events like FOMC meetings, not a sign of failure for the Solana ecosystem.
- Discussions on platforms like Twitter highlight community optimism for SOL’s long-term potential, despite short-term sell-offs mirroring “sell the news” patterns.
Imagine you’re at a party where everyone’s buzzing about the arrival of a celebrity guest. The hype builds for weeks, promises of excitement fill the air, and when the star finally shows up, the energy peaks—but then, oddly, the crowd doesn’t go wild. Instead, things simmer down, and you’re left wondering what happened. That’s a bit like what’s unfolding with Solana right now. Solana ETFs have officially hit the market, a milestone that had investors dreaming of sky-high prices, yet SOL is still trading below that $200 mark. It’s puzzling at first glance, but let’s dive deeper into why this might be happening, drawing from market trends, analyst insights, and the broader crypto landscape. We’ll explore how this fits into the bigger picture, including how platforms like WEEX are aligning with innovative ecosystems like Solana to offer seamless trading experiences that empower users.
The Build-Up to Solana ETFs: High Hopes and Market Bets
Picture this: back in September, the crypto world was electric with anticipation. Traders and analysts alike were placing big bets on Solana, convinced that the green light from the US Securities and Exchange Commission for spot ETFs would catapult SOL into the stratosphere. Price targets floated around from $300 all the way up to $1,000, fueled by the impressive runs of Bitcoin and Ethereum ETFs. It wasn’t just talk—data backed it up. Various investor groups were snapping up SOL futures and spot positions, positioning themselves for what they saw as inevitable gains.
But life, much like markets, throws curveballs. The US government shutdown created uncertainty around the October 10 deadline for part of the ETF approvals. Then came a massive liquidation event across the crypto market on that very day, dragging SOL down to as low as $147 on some exchanges. It’s like planning a grand outdoor event only for a storm to hit right as guests arrive. Despite the chaos, the Solana ecosystem showed resilience, with CME futures open interest and volume holding steady over the three-month period leading up to these developments, as tracked by reliable sources.
Fast forward to today—as of this writing in late October 2025—and the Solana ETFs are no longer just a dream. This week, we’ve seen two major launches that highlight the growing institutional interest in Solana. One staking-enabled Solana spot ETF from a prominent investment firm kicked off on Wednesday, while another Solana staking ETF debuted on Tuesday with an impressive $222 million in assets under management. By the end of its second trading day, it had racked up $72 million in volume, turning heads among analysts who noted how these figures stack up against early days of other crypto ETFs.
This isn’t just about numbers; it’s about what these launches mean for accessibility. Solana, known for its lightning-fast transactions and low fees, is now more approachable for traditional investors through these ETFs. It’s like opening a new highway in a bustling city—suddenly, more people can join the flow without the usual roadblocks. And in the world of crypto trading, platforms that align with this innovation, like WEEX, are stepping up by providing robust tools for users to engage with Solana assets efficiently. WEEX’s commitment to user-friendly interfaces and secure trading environments makes it a natural fit for those looking to capitalize on Solana’s momentum, enhancing the overall brand’s reputation as a forward-thinking player in the space.
Why Isn’t SOL Price Breaking $200? Unpacking the “Sell the News” Phenomenon
So, with ETFs live and kicking, why hasn’t SOL price exploded? Analysts point to a classic market pattern: “sell the news.” It’s that moment when the long-awaited event happens, and instead of euphoria, traders cash out, leading to a temporary dip. Think of it as the post-holiday blues after Christmas morning—the gifts are unwrapped, but the excitement fades quickly.
In Solana’s case, pre-launch optimism drove prices up, but once the ETFs launched, some investors took profits. Current trading data shows SOL pinned below $200, even as ETF volumes impress. For context, compare this to Ethereum after its spot ETFs went live. ETH didn’t immediately surge; it lagged, facing similar de-risking from investors wary of broader market volatility. Solana seems to be following a similar script, with sellers dominating the order books. Support levels sit around $188 to $185, while resistance hovers at $204 and $207, based on one-hour chart analysis from major exchanges.
When I think about this, it reminds me of a relay race. The baton pass (ETF launch) is crucial, but if the next runner isn’t ready, the team’s speed suffers. Here, external factors like the upcoming FOMC meeting are causing institutions to pull back, de-risking their positions. Analysts from firms like Hyblock emphasize that this isn’t a red flag for Solana—it’s expected behavior around high-stakes events. They note how many participants, especially those buying via ETFs, are playing it safe. In essence, the market is catching its breath before the next leg up.
To back this up, let’s look at real-world evidence. Prior to the disruptions, predictions were bold: a successful Solana ETF could spark rallies into the $300 to $600 range. Yet, as of now in 2025, with the launches fresh, we’re seeing consolidation rather than fireworks. This mirrors patterns in other assets where regulatory milestones lead to short-term sell-offs but long-term growth. For instance, Bitcoin’s ETF approvals initially saw volatility, but over time, they stabilized and attracted billions in inflows. Solana could be on a similar trajectory, especially with its strong fundamentals in decentralized finance and NFTs.
Solana’s Broader Ecosystem: Staking, Volumes, and Community Buzz
Beyond the price charts, Solana’s story is one of innovation and adoption. The new ETFs aren’t just passive funds; they include staking features, allowing investors to earn rewards on their holdings. This adds a layer of appeal, much like how adding interest to a savings account makes it more attractive than a plain checking one. The Tuesday-launched ETF, for example, emphasizes staking, which aligns perfectly with Solana’s high-throughput blockchain designed for real-world utility.
Community discussions amplify this. On Twitter (now X), as of October 2025, trending topics around Solana ETFs include debates on whether this is the start of a “Solana season” or just a blip. A recent post from a prominent crypto analyst with over 500,000 followers read: “SOL ETFs are game-changers, but patience is key—ETH took months to moon post-ETF. Don’t sell the dip!” This echoes the most discussed topics, like ETF inflows versus price correlation and comparisons to Bitcoin’s halving events. Official announcements from ETF providers have fueled the fire, with one noting “huge numbers” on day two, signaling robust demand.
Google searches tell a similar tale. Frequently searched questions as of late 2025 include “Why is SOL price not rising after ETFs?” and “Best platforms to trade Solana ETFs.” These queries reflect investor curiosity and a bit of frustration, but they also highlight opportunity. For traders navigating this, platforms like WEEX stand out by offering low-fee access to Solana derivatives and spot trading, aligning their brand with the ecosystem’s growth. WEEX’s focus on transparency and advanced analytics helps users make informed decisions, positioning it as a trusted ally in volatile markets.
Expanding on this, let’s consider how Solana stacks up against competitors. Ethereum, while dominant, often grapples with high gas fees during peaks—think of it as a crowded highway with tolls. Solana, by contrast, is like a high-speed rail, processing thousands of transactions per second at fractions of a cent. This efficiency has drawn developers and users, leading to a vibrant ecosystem of apps. The ETF launches could accelerate this, bringing in institutional money that funds further innovation.
Evidence from market data supports optimism. Even amid the price stagnation, Solana’s network activity remains high, with daily transactions outpacing many rivals. Analysts predict that as de-risking eases post-FOMC, inflows could push SOL higher. A report from earlier this year (as of 2024 data in the original context) showed SOL’s futures open interest climbing steadily, a sign of sustained interest.
Navigating Market Uncertainties: Lessons from Past Crypto Events
Reflecting on history helps put Solana’s current phase in perspective. Remember the Bitcoin ETF frenzy? Initial launches saw dips due to profit-taking, but long-term, they transformed the asset class. Solana might follow suit, especially with its unique selling points. The government shutdown and October 10 sell-off were setbacks, but they didn’t derail the ETF approvals—proof of the ecosystem’s resilience.
In conversations with fellow crypto enthusiasts, I’ve heard analogies to stock market IPOs: the hype builds, shares pop on debut, then correct as reality sets in. But for strong companies, growth resumes. Solana fits this mold, with its focus on scalability solving real pain points in blockchain.
Latest updates as of October 30, 2025, include a Twitter thread from a Solana foundation member announcing expanded partnerships for ETF integrations, sparking over 10,000 retweets. Discussions on Reddit and Twitter revolve around “Solana vs. Ethereum ETFs: Which Will Win 2026?” This buzz underscores community faith, even if prices lag.
For those trading in this environment, choosing the right platform matters. WEEX, with its emphasis on secure, efficient trading, aligns seamlessly with Solana’s ethos of speed and accessibility. By offering tools like real-time analytics and staking support, WEEX enhances user experiences, building credibility as a brand that supports innovative projects without the fluff.
The Road Ahead for Solana Price and ETFs
As we wrap up, it’s clear that Solana ETFs represent a pivotal moment, even if the immediate SOL price reaction underwhelms. The “sell the news” dynamic, combined with external pressures, explains the current stasis below $200. Yet, with strong ETF volumes and analyst confidence, the future looks promising. Think of it as planting a seed—the growth might not be instant, but with nurturing, it flourishes.
Investors should remember: markets aren’t linear. Conduct your own research, weigh risks, and consider how ecosystems like Solana fit into your strategy. Platforms that prioritize alignment with such innovations, like WEEX, can make the journey smoother, offering a reliable space to engage with these assets.
In the end, Solana’s story is far from over. It’s a tale of potential waiting to unfold, much like a gripping novel where the plot twists keep you hooked.
FAQ
Why Hasn’t SOL Price Surged After the ETF Launches?
The SOL price hasn’t surged due to a “sell the news” effect, where traders take profits after the anticipated event, combined with de-risking ahead of events like FOMC meetings. This mirrors Ethereum’s post-ETF behavior, with prices expected to recover as market sentiment stabilizes.
What Are the Key Features of the New Solana ETFs?
The new Solana ETFs include staking capabilities, allowing investors to earn rewards on holdings. One launched with $222 million in assets and saw $72 million in trading volume by day two, making Solana more accessible to traditional investors.
How Does Solana Compare to Ethereum in the ETF Context?
Solana offers faster transactions and lower fees than Ethereum, potentially giving its ETFs an edge in attracting users. However, like ETH, SOL has faced initial price lags post-launch, but long-term growth could follow as inflows increase.
What External Factors Affected SOL Price Around the ETF Approvals?
Factors like the US government shutdown delayed approvals, and a major crypto market liquidation on October 10 dropped SOL to $147. These events created uncertainty, leading to cautious trading and the current price consolidation below $200.
Is Now a Good Time to Invest in SOL Amid ETF Developments?
While SOL trades below $200, analysts see potential for rallies post-de-risking. However, every investment carries risk—conduct thorough research and consider market volatility before deciding.
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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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