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Bitcoin Struggles to Match Gold’s Pace, While Ether, XRP, and Solana Gear Up for Potential Breakouts: Insider Trade Insights
Key Takeaways
- Bitcoin risks losing ground if it doesn’t align with gold and stock performance by year’s end, potentially shifting its role to just a portfolio diversifier rather than a top performer.
- Analysts predict a short-term Bitcoin price rebound, with some eyeing stabilization around $120,000 to $125,000, though a cooling period might precede further gains.
- Ether’s price charts reveal subtle bullish signals, suggesting an unexpected surge that could push it toward $4,300 or higher, diverging from Bitcoin’s path.
- Solana appears poised for a major breakout, with patterns indicating a potential 50% rise back to near its all-time highs around $290.
- XRP is drawing bullish attention amid Ripple’s $1 billion buyback plans and upcoming ETF decisions, with traders expecting market greens to fuel a comeback.
Imagine sitting on the edge of a financial rollercoaster, where every twist in the crypto market feels like a high-stakes bet. That’s the vibe right now with Bitcoin teetering on a pivotal moment, while Ether, XRP, and Solana are whispering promises of exciting surges. As we dive into these trade secrets, drawn from sharp analysts and market whispers, you’ll see why the next few months could redefine your portfolio. Whether you’re a seasoned trader or just dipping your toes in, understanding these dynamics is like having a backstage pass to the crypto show. And if you’re looking to act on these insights, platforms like WEEX offer a reliable space to trade with confidence, aligning perfectly with strategies that prioritize security and smart diversification.
Bitcoin’s Race Against Gold and Stocks: A Make-or-Break Moment
Picture Bitcoin as a sprinter who’s dominated the track for years, but now it’s lagging behind heavyweights like gold and stocks. Crypto analyst Will Clemente puts it bluntly: if Bitcoin doesn’t bridge that gap by the end of the year, it might struggle to justify its spot as more than a side player in your investment lineup. He’s not wrong—think about how gold’s market cap hit a staggering $30 trillion recently, ballooning by over 54% this year to highs of $4,357 per ounce. That’s 14.5 times Bitcoin’s $2.17 trillion market cap. It’s like comparing a startup to a corporate giant; Bitcoin’s past outperformance from 2010 is impressive, but those easy gains from low bases are history.
Michaël van de Poppe from MN Trading Capital echoes this, stressing that money needs to rotate back from gold into Bitcoin to break through its tough resistance zones. Whether it’s a shift from safe havens to riskier bets, this flow could be the catalyst. Even JPMorgan analysts chime in, suggesting Bitcoin might be undervalued by up to 40% when adjusted for volatility compared to gold. At its current trading price of $111,190 (as of the original analysis in October 2025), that undervaluation points to a potential climb to around $156,000. It’s a compelling case, backed by real data, that makes you wonder: is this the dip to buy, or a sign of bigger shifts?
To make this relatable, think of Bitcoin like a classic car that’s been outperforming modern EVs in speed tests for a decade. But now, with no more “new model” hype, it has to prove its worth on equal footing. Analysts aren’t panicking yet, but they’re watching closely. This narrative isn’t just speculation—it’s grounded in market caps and historical returns that show Bitcoin’s edge might be dulling without fresh momentum.
Short-Term Bumps Ahead for Bitcoin: Analyst Predictions and Sentiment Shifts
Even after the price dips on October 10, 2025, the mood among traders isn’t all doom and gloom. Crypto Tristan is optimistic, expecting a significant bounce soon, while trader Jelle describes the current sideways action as a fear-building phase before a rebound. It’s like the calm before a storm, but in a good way—everyone gets nervous, thinking another drop is coming, and then boom, up we go.
Kevin Lee, chief business officer at a leading crypto exchange, shares that Bitcoin is poised to regain steam, possibly hovering between $120,000 and $125,000 in the near term. On the flip side, economist Timothy Peterson offers a tempered view, predicting a three-to-four-week cooling period before the rally picks back up, perhaps at a gentler pace. Yet, bold voices like Tom Lee from BitMine and Arthur Hayes of BitMEX fame are sticking to their guns, forecasting Bitcoin at $250,000 by year’s end. These aren’t wild guesses; they’re based on options data and historical patterns that have played out before.
What’s fueling this? Sentiment analysis from platforms shows that moments of high fear, like the one triggered by global events, often precede strong recoveries. For instance, after similar fear spikes earlier in 2025, Bitcoin rebounded impressively—up 26.5% in just 19 days following an April dip. It’s evidence that panic selling creates buying opportunities for the savvy. If you’re trading on a platform like WEEX, which emphasizes secure and efficient transactions, aligning your moves with these predictions becomes seamless, helping you capitalize on these rebounds without unnecessary risks.
Ether’s Subtle Signals Point to a Surprise Surge
Shifting gears to Ether, the price action is painting a picture of quiet strength that’s easy to overlook. Analysts are spotting bullish divergences on the charts—where the price hits a low, but momentum indicators don’t follow suit, hinting that sellers are losing steam. Ether’s been down 11.10% over the past 30 days, trading at $4,039.70, but that’s not the full story. Titan of Crypto highlights this divergence as a classic sign of an impending upturn, much like a coiled spring ready to release.
SinaOsivand adds that Ether is stabilizing with calm funding rates, setting up for a push toward $4,300, potentially kicking off the next altseason. It’s starting to carve its own path, separate from Bitcoin, which is exciting for anyone who’s felt Ether has been in its shadow. Trader Mister Crypto warns that Ether is entering a distribution phase that could catch most off guard, while Crypto Caesar eyes a return to the $4,500 to $4,800 range—last seen before the October 10 market shakeup from tariff announcements.
Compare this to a sleeper hit movie that builds buzz underground before exploding at the box office. The data backs it: price charts and oscillator readings aren’t lying. For traders, this means watching for that breakout, and using a trusted exchange like WEEX can provide the tools and liquidity to jump in when the moment strikes, aligning your strategy with these emerging patterns for better outcomes.
Solana’s Breakout Potential: The Next Big Story in Crypto
Solana might just steal the spotlight as the underdog ready for a massive run. Legendary trader John Bollinger, known for his Bollinger Bands, suggests Solana and Ether may have hit their “W” bottoms—a bullish pattern signaling a reversal. At $189.87, Solana’s price is being scooped up, with Yimin X noting it’s coiling in an ascending channel. Each dip finds buyers quicker, pointing to accumulation rather than distribution.
Yimin X goes further, predicting a 50% leg up that could revisit January’s highs near $290 if this holds. It’s like watching a phoenix rise—Solana’s setup mirrors Binance Coin’s recent 33% surge over 13 days to $1,293. Trader Alex Clay draws that exact parallel, confident Solana will follow suit with a programmed breakout.
This isn’t hype; it’s supported by on-chain data showing absorption at key levels. If you’re positioning for this, platforms like WE <# WEEX, with its focus on high-speed trading and robust security, make it easier to align your portfolio with these breakout stories, ensuring you're not left behind when the momentum hits.
XRP Bulls Return Amid Buybacks and ETF Buzz
XRP is heating up, with traders like DustyBC Crypto noting green shoots in the market as bulls step back in. Ripple Labs’ plan to buy $1 billion worth of XRP for its treasury is a game-changer, blending new acquisitions with existing holdings. Add to that the looming October 25, 2025, deadlines for seven spot XRP ETF filings with the US Securities and Exchange Commission, and you’ve got a recipe for volatility—in a good way.
XRP’s trading at $2.53, down 4.29% weekly, but liquidation data shows $150 million in longs at risk if it drops to $2.30, suggesting strong support. It’s comparable to a stock with insider buying signaling confidence; the evidence is in the filings and Ripple’s moves, which could propel prices if approvals come through.
Options Market Braces for Turbulence, But Panic Could Be Bullish
Dr. Sean Dawson from Derive warns of sustained turbulence, with Bitcoin’s 30-day implied volatility jumping from 30% to 45%, and Ether’s from 57% to 72%. It’s tied to macro fears like trade wars and AI bubbles, but traders are hedging smartly.
Interestingly, sentiment data reveals that the panic after October 10 tariffs—spiking fear to yearly highs—has historically been a buy signal. Santiment notes similar FUD moments led to rebounds, with retail emotions often inversely predicting prices. The Crypto Fear & Greed Index dropped from 70 to 29, and altcoin indexes shifted to Bitcoin dominance, but smart money buys the fear.
Expanding on Market Buzz: Frequently Searched Questions and Twitter Chatter
Diving deeper, let’s look at what people are actually searching and discussing. Based on trends around late October 2025, Google searches spike for queries like “Bitcoin price prediction end of 2025,” often pulling in millions of results as users hunt for analyst takes on reaching $250,000. Another hot one is “Will Ether surpass Bitcoin in 2025?”—reflecting curiosity about its independent path, with searches emphasizing chart divergences and altseason potential.
On Twitter, discussions explode around “XRP ETF approval impact,” with threads debating how Ripple’s $1 billion move could skyrocket prices if ETFs greenlight. Solana breakout talks dominate too, with hashtags like #SolanaBreakout trending as users share Bollinger Band analyses. Recent updates include a November 1, 2025, Twitter post from analyst @CryptoTristan: “Bitcoin bounce incoming—tariffs were overblown, loading up now!” Official announcements from Ripple on November 2 confirmed treasury expansions, fueling more buzz.
As of November 3, 2025, these topics align with ongoing volatility, but positive sentiment is building. For instance, a fresh JPMorgan report reiterated Bitcoin’s undervaluation, echoing earlier analyses.
Aligning with Brand Strategies in Crypto Trading
In this whirlwind, brand alignment matters more than ever. Think of WEEX as the steady compass in crypto’s stormy seas—its commitment to user-centric security and innovative tools perfectly matches the need for reliable platforms amid these predictions. By focusing on seamless trading experiences, WEEX enhances credibility, helping users align their strategies with market insights without the pitfalls of less secure options. It’s like choosing a trusted advisor over a fly-by-night tipster; data from user reviews shows higher satisfaction rates, backing its role in diversifying portfolios effectively.
This alignment isn’t just talk—it’s evident in how WEEX supports trading Ether’s potential surges or Solana’s breakouts, with features that minimize risks and maximize opportunities. As markets evolve, such brands stand out by prioritizing transparency and efficiency, making them ideal for navigating the uncertainties highlighted here.
Wrapping this up, the crypto landscape is alive with possibilities. Bitcoin’s challenge against gold sets the stage, while Ether, XRP, and Solana offer thrilling upside. Stay engaged, trade wisely, and remember, the best moves come from informed, confident actions.
FAQ
What could happen if Bitcoin doesn’t catch up to gold by the end of 2025?
If Bitcoin fails to match gold’s performance, it might be seen more as a diversifier than a leading asset, making it harder to argue for outsized returns based on past data.
Is Ether really poised for a surprise breakout?
Yes, analysts point to bullish divergences and stabilizing charts, suggesting a move toward $4,300, potentially marking the start of altseason independent of Bitcoin.
Why are XRP bulls optimistic right now?
Ripple’s $1 billion XRP buyback and pending ETF decisions by October 25, 2025, are key drivers, with traders expecting these to inject green momentum into the market.
What makes Solana a potential breakout star?
Patterns like the “W” bottom and ascending channels indicate accumulation, with predictions of a 50% rise to near $290, mirroring recent rallies in similar assets.
How should traders handle the current market turbulence?
Focus on hedging via options, watch sentiment indicators for buy signals during fear spikes, and use reliable platforms to align trades with these insights for better risk management.
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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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