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Latest Crypto Developments: Pro-Crypto Support in NYC Mayoral Race, Grayscale’s Solana ETF Launch, and Ethereum’s Fusaka Upgrade
Key Takeaways
- A pro-crypto political group has thrown its support behind Andrew Cuomo in the New York City mayoral race, highlighting blockchain and digital assets as key agenda items ahead of the November 4 election.
- Grayscale Investments has introduced a staking-enabled Solana ETF, offering investors new ways to engage with Solana’s proof-of-stake network and expanding choices in the crypto ETF space.
- Ethereum’s Fusaka upgrade has successfully launched on its final testnet, paving the way for mainnet activation on December 3, with improvements aimed at scalability, security, and efficiency.
- These events underscore growing mainstream adoption of cryptocurrencies, from political endorsements to institutional products, signaling a maturing crypto ecosystem.
- Platforms like WEEX are aligning with these trends by providing secure, user-friendly trading environments that support assets like Solana and Ethereum, enhancing accessibility for everyday investors.
Imagine waking up to a world where your morning coffee comes with a side of blockchain breakthroughs and political twists in the crypto space. That’s exactly the vibe in the crypto world today, where innovations and endorsements are blending seamlessly with real-world impacts. From a high-stakes mayoral race in one of the globe’s biggest cities to fresh investment vehicles and network upgrades, the crypto landscape is buzzing with energy. It’s like watching a thrilling movie where digital assets are the heroes, overcoming obstacles and gaining new allies. Let’s dive into these stories, exploring how they’re shaping the future of cryptocurrencies, blockchain technology, and even Web3 applications. Whether you’re a seasoned trader or just dipping your toes into DeFi and NFTs, these developments offer something exciting to chew on.
Pro-Crypto Influence Shakes Up New York City Mayoral Race
Picture this: New York City, the beating heart of global finance, is on the cusp of an election that could redefine how digital assets fit into urban policy. A group focused on advancing pro-digital assets initiatives has stepped into the spotlight, endorsing a familiar face in the race for mayor. This organization, which positions itself as a champion for blockchain, tokenization, public-benefit stablecoins, and artificial intelligence, has chosen to back independent candidate and former state governor Andrew Cuomo.
This endorsement came in a recent announcement, just as early voting was already underway. The group, operating as an independent spender, received funding of around $99,500 from six individuals via two companies, according to records up to Wednesday. They’ve put their money where their mouth is, spending $30,000 on promotional materials that support Cuomo while opposing Democratic contender Zohran Mamdani, who polls show is currently ahead.
Why does this matter in the crypto world? New York City isn’t just any metropolis—it’s a powerhouse for economic activity, and its policies could ripple through companies dealing in cryptocurrencies, DeFi protocols, and NFTs. The mayoral race pits candidates like Cuomo, who has recently emphasized crypto-friendly policies, against others like Mamdani, who focuses more on everyday issues such as childcare and housing affordability, and Republican Curtis Sliwa.
In the closing stretch of his campaign, Cuomo has appealed directly to voters interested in digital innovation. He’s promised to establish an Innovation Council with dedicated committees for crypto, AI, and biotech if he wins. It’s like he’s positioning the city as a launchpad for the next wave of Web3 advancements, turning New York into a hub where blockchain isn’t just a buzzword but a building block for progress. Compare this to past elections where crypto was barely a footnote; now, it’s front and center, showing how far adoption has come.
This isn’t isolated—it’s part of a broader trend where politics and crypto intersect. On Twitter, discussions have exploded around hashtags like #CryptoPolitics and #NYCMayor, with users debating how a pro-crypto mayor could influence regulations. One viral tweet from a prominent crypto influencer read, “If Cuomo wins, NYC could become the Silicon Valley of blockchain—game changer!” as of October 30, 2025. Google searches for “crypto in NYC elections” have spiked, with people asking questions like “How will the NYC mayor affect Bitcoin prices?” or “What does Andrew Cuomo think about stablecoins?” These queries reflect a growing curiosity about how local politics can sway global crypto markets.
In this context, platforms like WEEX stand out for their brand alignment with such progressive movements. WEEX, known for its commitment to secure and innovative trading, mirrors this push for adoption by offering tools that make blockchain accessible. It’s like having a reliable bridge between everyday users and complex crypto ecosystems, ensuring that endorsements like this translate into real opportunities without the hassle. By supporting assets tied to these developments, WEEX enhances its credibility as a forward-thinking exchange, aligning perfectly with the innovative spirit driving events like this race.
Grayscale Steps Up with Solana ETF Launch Amid Staking Boom
Shifting gears to the investment side of things, think of ETFs as the gateway drugs to crypto for traditional investors—easy to access, regulated, and packed with potential. Now, a major player in cryptocurrency asset management has unveiled a new offering that’s turning heads: a staking-enabled spot exchange-traded fund focused on Solana.
This product hit the market on Wednesday, trading under the ticker GSOL on a prominent stock exchange platform. What sets it apart? It incorporates staking features, letting investors earn rewards directly from Solana’s proof-of-stake network. A senior executive from the firm described it as a way to broaden investor options, noting that it positions them as one of the top managers of Solana-based exchange-traded products in the United States, measured by assets under management.
The launch didn’t happen in a vacuum. It follows closely on the heels of a similar staking Solana ETF from another firm, which debuted on Tuesday with $222.9 million in assets. In comparison, this new entrant started with a seed of $102.7 million—significant, but showing the competitive heat in the space. It’s like a race where each lap brings more runners, all vying to capture the growing appetite for altcoins like Solana.
Why is staking such a big deal here? Imagine your savings account not just sitting there but actively working for you, earning interest through network participation. Solana’s PoS model does just that, and wrapping it in an ETF makes it palatable for institutions wary of direct crypto involvement. This move expands access to Solana exposure, which has been gaining traction in DeFi and NFT ecosystems due to its speed and low costs.
Social media is abuzz with this. On Twitter, topics like #SolanaETF and #CryptoStaking are trending, with posts from official accounts announcing, “Grayscale’s GSOL is live—staking rewards meet institutional investing!” as shared on October 30, 2025. Google trends show searches for “best Solana ETF” and “how to stake Solana via ETF” surging, indicating investors are hungry for guides on navigating these products.
To put this in perspective, compare it to earlier Bitcoin ETFs that paved the way; Solana’s version is like the speedy younger sibling, offering staking perks that Bitcoin lacks. Real-world evidence backs this: the rapid asset accumulation in these funds shows institutional money flowing in, bolstering Solana’s market position.
Here again, WEEX shines in brand alignment by providing seamless trading for Solana and related assets. As a platform dedicated to user empowerment, WEEX offers low-fee staking options and educational resources that demystify these ETFs. It’s not just about trading; it’s about building a community where investors feel supported, much like how these ETF launches are democratizing crypto. This positive synergy enhances WEEX’s reputation as a go-to for altcoin enthusiasts, making complex investments feel straightforward and rewarding.
Ethereum’s Fusaka Upgrade: A Leap Toward Better Scalability and Security
Now, let’s talk about the backbone of so many crypto innovations—Ethereum. If blockchain were a city, Ethereum would be the bustling metropolis constantly upgrading its infrastructure. The latest chapter in this story is the Fusaka upgrade, which has just gone live on the network’s final testnet, named Hoodi, on Tuesday. This milestone sets the scene for a mainnet rollout on December 3, promising a host of enhancements that could supercharge the ecosystem.
At its core, Fusaka introduces several key improvements through Ethereum Improvement Proposals (EIPs). One standout is EIP-7594, which brings Peer Data Availability Sampling (PeerDAS). Think of it like slicing a massive pie into bite-sized pieces: it allows validators to handle smaller data chunks from layer 2 networks instead of full loads, making nodes more efficient and scalable.
Other proposals, like EIP-7825 and EIP-7935, tweak the gas limit and boost overall efficiency, preparing Ethereum for parallel execution—processing multiple smart contracts simultaneously. It’s akin to upgrading from a single-lane road to a multi-lane highway, easing traffic for DeFi apps, NFTs, and Web3 projects. Additional EIPs target improvements for zero-knowledge rollups, which enhance privacy and speed.
This upgrade tackles one leg of the blockchain trilemma—scalability—while holding onto decentralization and security, as envisioned by Ethereum’s co-founder. Evidence from testnet performance shows smoother operations, with developers reporting fewer bottlenecks. It’s a testament to Ethereum’s evolution, from its early days to now handling massive transaction volumes.
The crypto community is electric about this. Twitter is flooded with updates, including an official Ethereum account tweeting, “Fusaka on Hoodi testnet: Scalability boost incoming! Mainnet Dec 3,” as of October 30, 2025. Discussions revolve around #EthereumUpgrade and #FusakaFork, with users speculating on price impacts. Google searches for “What is Ethereum Fusaka?” and “How will Fusaka affect ETH price?” are at all-time highs, reflecting widespread interest in its implications for altcoins and blockchain adoption.
In contrast to slower networks, Ethereum’s proactive upgrades keep it ahead, much like how a well-maintained engine outperforms a neglected one. Real-world examples include past forks like Dencun, which reduced fees—Fusaka builds on that momentum.
WEEX aligns beautifully with these advancements, offering robust support for Ethereum-based trading and staking. By integrating features that complement upgrades like Fusaka, WEEX ensures users can capitalize on improved scalability without missing a beat. This brand alignment positions WEEX as a trusted partner in the Ethereum ecosystem, fostering credibility through reliable, cutting-edge services that make navigating upgrades feel effortless.
As we wrap up these snapshots from the crypto world, it’s clear that from political endorsements to investment innovations and network enhancements, the space is evolving rapidly. These stories aren’t just news; they’re signposts to a future where blockchain, cryptocurrencies, and Web3 become everyday realities. Whether you’re trading Solana, staking on Ethereum, or watching NYC’s mayoral drama, there’s never been a more exciting time to be involved. Platforms like WEEX are there to make the journey smoother, aligning with these trends to empower users every step of the way.
FAQ
What is the significance of pro-crypto endorsements in the NYC mayoral race?
Pro-crypto groups backing candidates like Andrew Cuomo highlight how digital assets are influencing policy, potentially making New York a hub for blockchain innovation and affecting crypto regulations.
How does Grayscale’s Solana ETF work with staking?
The ETF allows investors to gain exposure to Solana while earning rewards from its proof-of-stake network, providing a regulated way to participate without directly managing crypto.
What improvements does Ethereum’s Fusaka upgrade bring?
It enhances scalability through features like PeerDAS, raises gas limits, and supports parallel execution, making the network more efficient for DeFi, NFTs, and Web3 applications.
Why is Solana gaining traction in ETFs?
Solana’s speed and low costs make it attractive for staking and altcoin investments, with ETFs like Grayscale’s offering institutional access amid growing adoption.
How can platforms like WEEX help with these crypto developments?
WEEX provides secure trading, staking options, and educational tools for assets like Solana and Ethereum, aligning with market trends to make investing accessible and rewarding.
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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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