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Shiba Inu (SHIB) is now live on Solana, giving the Ethereum-born meme coin a foothold on a network known for meme coin trading. The listing runs through Sunrise, a token gateway backed by Wormhole Labs.
The move breaks with SHIB’s own playbook. For years, the team pushed holders toward Shibarium, its in-house layer-2 network, instead of rival chains.
A Second Front Opens on Bonk’s Home Turf
SHIB traded higher after the listing went live. The token gained 3.89% over the past 24 hours, according to BeInCrypto price data, with most of the move coming after Solana’s announcement. Over the past week, SHIB is up 2.69%. Still, it remains roughly 93% below its October 2021 all-time high.
SHIB Price Performance. Source: BeInCrypto Markets
Solana announced the listing on X.
BREAKING: $SHIB is live on Solana via @sunrise https://t.co/5YMgpqwlp1 pic.twitter.com/bwHIlG1YSN
— Solana (@solana) October 4, 2026
The SHIB team followed up with a playful nod to the news.
Different chain. Same dog. 🐕Have we mentioned $SHIB is on Solana yet?We have?Good. Just checking. pic.twitter.com/0AENVGaVKa
— Shib (@Shibtoken) October 5, 2026
Sunrise acts as an on-ramp for tokens from other blockchains. It relies on Wormhole’s Native Token Transfers (NTT) standard. This means SHIB on Solana is the canonical token, not a wrapped copy. Monad’s MON became Sunrise’s first listing.
Meanwhile, Solana has long been home to dog-themed rivals like Bonk (BONK). However, that corner of the market has cooled. BONK slid to its lowest level since November 2023 in August after Upbit announced a delisting.
SHIB enters a crowded arena just as its local competitors are struggling.
Can SHIB on Solana Win Over Meme Coin Traders?
The timing raises questions about Shibarium. Earlier this year, on-chain data showed Shibarium usage collapsing while SHIB traded near multi-year lows.
As a result, Solana offers SHIB a ready-made audience.
Cost is another draw. SHIB remains on Ethereum, but traders on Solana pay a base fee of 0.000005 SOL per transaction, a fraction of a cent. Ethereum fees, in contrast, fluctuate with network demand and can climb during busy periods.
The expansion carries a familiar risk. Unofficial tokens using the SHIB name already exist on Solana. Solana itself urged users to verify the official contract address on tokens.xyz before trading.
Ultimately, the listing tests whether meme coin loyalty can travel across chains. If SHIB on Solana draws real volume, other Ethereum-based tokens could follow the same route. The SHIB Army now has a second home to defend.

Affluent investors in 7 major markets trust wealth managers most for crypto information, a CoinShares survey published October 5 shows. Yet roughly 4 in 10 respondents with an adviser in 4 markets call theirs overly cautious.
The report polled 2,230 investors in the US, UK, France, Germany, Italy, Sweden, and Switzerland. Each held at least $500,000 in investable assets outside real estate.
Firm Policy Keeps Advisers on the Sidelines
The new data lines up with an adviser-side picture CoinShares published in June. That earlier survey covered 261 wealth professionals in France, Germany, Italy, Switzerland, and the UK.
It found that 61% of advisers work at firms that restrict digital assets or lack clear internal guidance. Active recommendation ranged from 48% at supportive firms to just 1% at restrictive ones.
Meanwhile, 25% of advisers said more than half of their clients’ crypto holdings are beyond their view. Among UK advisers, that figure reached 52%, as BeInCrypto reported at the time.
The October report adds detail from the poll. Advisers cited volatility (56%) and crypto’s speculative character (52%) as the top reasons they believe clients hold back.
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Investors Admit Knowledge Gaps and Look for Expert Help
The investor survey paints a more committed picture. Depending on the market, between 54% and 70% of respondents already hold digital assets, according to the new report.
Across the 7 markets, 71% to 91% of current holders also plan to add exposure this year. However, 88% concede they lack the knowledge to invest with complete confidence.
Alongside that gap, 69% would consider working with a crypto-savvy wealth manager. Among current holders open to advice, 98% are prepared to pay for it. In the US and UK, wealth managers lead most other sources on trust by 25 to 30 points.
When the June survey came out, CoinShares CEO Jean-Marie Mognetti framed the adviser gap as a commercial risk for firms.
“Clients did not wait for permission. Every month a firm remains silent, more of its clients’ wealth migrates beyond its advice, its visibility and ultimately its economics,” Mognetti said.
In that poll, advisers said regulatory recognition (45%) and exchange-traded product access (43%) would most boost their confidence
In the 5 markets both surveys cover, investor demand now meets the policy barrier the June survey identified.
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The euro slid to a 17-month low against the dollar on Monday. Reports that Spain’s government may call an early election deepened worries already building over France’s budget.
Higher interest rates add a second strain, slowing European share sales after a strong start to 2026.
Madrid Joins Paris on the Market’s Worry List
According to Bloomberg, the euro lost as much as 0.8% during Asian hours, touching $1.1161. It later recovered slightly to $1.1179, leaving it down 4.86% for the year.
Euro to USD Year-to-Date Chart. Source: Google Finance
Three people close to Prime Minister Pedro Sánchez told Bloomberg that senior officials now back an early ballot. Cabinet ministers and Socialist party leaders see it as the best response to last week’s heavy defeat in parliament.
Traders said that Asia-based hedge funds sold euros for dollars in the spot market. That selling pushed the currency through option barriers, which extended the decline. These are levels where certain options switch on or off, forcing dealers to adjust their hedges.
Madrid’s troubles come on top of a shaky government and strained public finances in France. On Friday, the gap between French and German borrowing costs reached 152 basis points, its widest since 2011.
“Bond and currency markets are clearly signaling investor discomfort about the rising instability of the French government and erosion in the country’s fiscal anchor ahead of the elections in 2027,” Homin Lee, senior macro strategist at Lombard Odier Singapore, said.
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Rates Take the Shine Off Europe’s Deal Boom
Politics explains only part of the strain on European markets, as borrowing costs have also climbed across the region. The European Central Bank (ECB) raised its deposit rate to 2.50% in September amid energy-driven inflation.
The prospect of further increases is now clouding the outlook for share sales. Third-quarter volume already dropped roughly 20% from a year earlier, Bloomberg data show.
That drop followed a first half in which European stock sales reached $89 billion, up 36% year-on-year. The outlook for initial public offerings (IPOs) is less clear. European listings from the past year have lost 17% on average.
Share prices have held up better than deal flow, with the Stoxx Europe 600 setting records over the summer. In August, Goldman Sachs said the index had outpaced the S&P 500 since early 2025.
Stoxx Europe 600 Performance. Source: Google Finance
The index closed Friday at 631.35, about 5% below its August intraday high of 663.41. JPMorgan’s Ashish Jhajharia said that steadiness hides investor unease.
“While headline indices are near all-time highs and VIX is fairly benign, there are clearly concerns underneath the surface around things like rates, inflation, geopolitics,” he stated.
The coming earnings season will show whether corporate profits can keep offsetting higher rates.
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China has cut America’s edge in AI benchmark scores to 3%, Bloomberg Intelligence (BI) estimates. DeepSeek’s V4.1 Flash, launched in September, pushed the gap to its lowest level on record.
That margin is the lead President Donald Trump cited last month when rejecting calls to slow AI. He claimed China is the only party pleased by the pushback against AI.
DeepSeek Moves Within 2.3 Points of Anthropic
BI put the benchmark gap at 15% earlier this year and about 9% in May. DeepSeek’s V4.1 Flash placed sixth globally on LiveBench, an independent leaderboard that scores models on questions, puzzles, and tasks.
The model scored 81.1, compared with 83.4 for Anthropic’s best entry. Still, only three of the top 15 models on LiveBench are Chinese.
The report credited deeper expertise and models tuned for domestic hardware. The gains also raise questions about whether US export curbs on Nvidia hardware are working.
Earlier this year, Anthropic argued that tighter controls could secure the US a 12-to-24-month lead by 2028. However, BI senior analyst Robert Lea cautioned that rankings shift, and Chinese labs may struggle to turn scores into revenue.
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Trump Answers AI Warnings and Data Center Backlash With China
The narrowing gap comes as the US debates how fast its own labs should advance. Anthropic CEO Dario Amodei urged pacing the frontier, a call OpenAI CEO Sam Altman and Elon Musk backed.
Data center buildouts have stirred local backlash too. An NBC News poll found 69% of adults oppose AI data centers nearby.
Trump has answered the backlash by pointing to China. He framed AI as a contest with a single winner.
“There is a SICK conspiracy going on against AI and Data Centers, and the only one that is happy about it is China. WHOEVER WINS AI, WINS!” he wrote.
He has also warned that communities blocking data centers will end up backwards and poor. Notably, Trump has turned that stance into policy.
On September 19, he announced an AI Force and vowed not to slow the industry. A White House task force under Jay Clayton, the AI czar, reports back in 120 days on AI’s risks and opportunities, along with Washington’s responsibilities.
The president signed a voluntary accord with six tech leaders that leaves safety to the companies. He has also signed an executive order to rename artificial intelligence as superintelligence. Together, these moves reflect Trump’s stated aim of keeping the US ahead of China in AI.
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JPMorgan has added new names to its October list of favorite stock ideas, including American Express, Liberty Energy and Thermo Fisher Scientific. Each carries an overweight rating from the bank’s analysts.
The refresh lands after a split September on Wall Street. The Dow Jones Industrial Average lost 4.3%, the S&P 500 slipped 0.5%, and the Nasdaq Composite gained 1.9%.
October Arrives With a Friendlier Track Record
September has long been the weakest month for US stocks, as BeInCrypto noted at the start of the month.
Barchart data show SPDR S&P 500 ETF total returns averaging 2.27% in October since 2010. That ranks third among all 12 months, behind November at 3.09% and July at 2.79%. September averaged a 0.48% loss over the same stretch.
Meanwhile, the third quarter closed with the Dow down 3%. The S&P 500 and the Nasdaq each advanced at least 2% over the period.
S&P 500 is about to say goodbye to the worst month of the year (September), on average, and enter the third best month of the year (October) ✅ We made it everyone 🥳 pic.twitter.com/o7bp32XxU1
— Barchart (@Barchart) September 30, 2026
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Why Do JPMorgan’s October Stock Picks Include a Falling Card Issuer?
JPMorgan sorts its overweight-rated stocks into growth, income, value, and short strategies. American Express is one of five new names and sits in the value group.
The stock closed at $302.78 on October 2, down 18.16% year to date, Google Finance data shows.
American Express Stock Performance. Source: Google Finance
Doubts over consumer spending and volatile credit rates have weighed on the shares. Analyst Richard Shane still backs the stock.
“AXP remains a core holding for investors looking for industry leading high returns and disciplined return of capital (dividend plus repurchases 3% of shares year after year),” he stated.
Can AI Demand Keep Carrying Stocks That Already Rallied?
Liberty Energy, a growth pick, has climbed 52% over the past year. Its Liberty Power Innovations unit builds on-site generation for large power users.
In January, the unit agreed to supply up to 1 gigawatt of power for Vantage Data Centers within 5 years. Analyst Arun Jayaram expects tight power supply to keep that demand going.
“We are seeing a reinforced structurally tight behind-the-meter power backdrop tied to data center load growth, with a power deficit expected to persist into 2030, which supports a multi-year demand runway for distributed generation providers,” Jayaram said in a note to clients.
Thermo Fisher, the second named growth pick, closed at $654.80 on October 2, up 13% year to date. Its shares have gained more than 25% over the past 3 months.
In September, Mayo Clinic launched Precure, an early disease detection venture, with Thermo Fisher as founding partner. Analyst Casey Woodring sees further gains from wider AI adoption and US biopharma reshoring.
This article is not financial advice. Stock prices are volatile, past performance does not guarantee future results, and readers should conduct their own research or consult a licensed advisor before making any investment decision.
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Employers have cited artificial intelligence (AI) in more than twice as many US job cuts this year as in all of 2025. Billionaire investor Mark Cuban, however, says workers are watching the wrong threat.
Cuban’s argument shifts the focus from the technology to the people using it. New hiring data and a Gallup survey suggest that shift matters for who gets hired and who gets laid off.
Cuban Puts the Job Risk on AI Skills
The anxiety has numbers behind it. US employers cited AI in 120,136 announced job cuts through September. That is about 21% of all cuts, Challenger, Gray & Christmas reported.
Cuban sees the threat differently and argued that the risk comes from other people.
“AI won’t take your job. Someone who knows how to use AI better than you, will take your job,” he said.
Survey data supports his view. Gallup found tech workers who used AI less than monthly faced 3 times the layoff risk of monthly users.
Overall, 62% of laid-off workers used AI once a year or less, compared with 50% of employed workers. Still, only 1% of laid-off workers named AI as the main cause.
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Annotators Lead a 750,000 AI Hiring Wave
AI has been the top reason for US layoffs this year, yet it is also creating jobs. The Kobeissi Letter, citing Wall Street Journal data, reported AI-linked roles added more than 750,000 US jobs since 2023.
The figures are based on LinkedIn estimates. Demand also shows up in listings, as AI job postings on LinkedIn rose 156% between 2024 and 2025.
Data annotators, who label material used to train AI models, lead the count with 282,000 positions. Data center jobs follow at 117,000, while AI engineers added 105,000.
“AI-related positions also offer significantly higher pay, with a median salary of ~$180,000 on LinkedIn, compared to $80,000 across all jobs,” the post added.
Box CEO Aaron Levie expects that demand to spread well beyond the tech sector.
“Every bank, life sciences company, manufacturer, and even law firm is bringing on more technical talent -or repositioning existing roles- to help with agent deployment in their companies,” he wrote.
Banks are also hiring for AI skills. Job postings that mention agent orchestration jumped 1,721% this year, according to hiring data firm Draup.
Still, overall hiring remains slow. Nonfarm payrolls rose 29,000 in September, and the unemployment rate reached 4.2%, the Bureau of Labor Statistics (BLS) reported.
The BLS releases its October jobs report on November 6. That data may show whether AI-linked hiring keeps growing while overall job gains stay slow.
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A US debt spiral looks closer as 10-year Treasury yields pass 5% and interest costs top $1 trillion. Yet growth of 8.5% before inflation still outruns the 3.4% average rate on that debt.
The Bureau of Economic Analysis measured that 8.5% as an annualized second-quarter pace. However, the 3.4% average partly reflects older bonds, and TD Securities says higher costs feed through as they mature.
Why Haven’t 5% Yields Triggered a US Debt Spiral?
Yields touched a 24-year high last Thursday, but the US does not refinance its debt all at once. TD Securities puts the debt’s weighted-average maturity, or average time to repayment, at about 5.9 years.
Bonds excluding short-term bills still carry an average coupon, or fixed interest rate, of 3.1%.
TD estimates fiscal 2026 interest costs at about $1.1 trillion. Looking ahead, it projects $1.4 trillion in 2027 and $1.6 trillion in 2029 if yields hold.
In addition, the Congressional Budget Office projects public debt at about 101% of gross domestic product (GDP) in fiscal 2026.
Consumer spending added about 2.5 points to real GDP growth in the second quarter, while imports subtracted roughly 1.6. Source: US Bureau of Economic Analysis
“A fiscal apocalypse is not upon us just yet.”
Gennadiy Goldberg and Molly Brooks, strategists at TD Securities, in a note cited by CNBC
What Would Turn the Math Against Washington?
TD links the surge partly to a stronger economy, expected Federal Reserve rate hikes and higher oil prices. Similarly, Ian Lyngen, head of US rates strategy at BMO Capital Markets, cites stronger actual and expected growth.
Matthew Reese, head of global bond strategies at L&G Asset Management, warns the loop worsens as nominal growth fades. However, Japan avoided a crisis despite heavier debt and weak growth, he notes.
BMO’s survey ranks housing as the likeliest first casualty of higher inflation-adjusted rates at 42%, ahead of stocks at 26%. By contrast, only 1% named the labor market.
Meanwhile, Hong Kong’s Hang Seng Index slid as much as 3% Friday as its currency peg imported US yields.
The cushion appears to depend on growth. Lyngen says the only lasting brake on yields is clear evidence that the economy or risk assets are giving way.

Schwab’s Kevin Gordon says the S&P 500 sits 1% below its high, yet the average stock had a 14% drawdown. He says AI stocks carry the index, so one capex miss, a shortfall in AI capital spending, could disrupt earnings.
However, that 14% is the average peak-to-trough drop among S&P 500 members since early August, not their loss today. The index weights companies by market value, so the largest stocks dominate its moves.
Why Is AI Carrying a Market That Looks Weak Underneath?
Kevin Gordon, Schwab’s head of macro research and strategy, spoke on Bloomberg This Weekend.
Tech sat out much of the summer rally, he said, but AI-related stocks now hold up the market. Valuation worries and public pushback against AI are beginning to fade, he added.
Similarly, Big Short investor Steve Eisman said in July that the whole market has become one AI bet.
What Happens if Mega-Caps Post a Capex Miss?
Gordon said one miss, paired with pared-back budgets, is where earnings disruption could begin. He relayed a line he said he could not claim as his own.
“it’s no longer earning season, it’s CapEx season.”
Kevin Gordon, via Bloomberg
Meanwhile, FactSet projects 32.4% S&P 500 earnings growth for 2026, up from about 15% at the start of the year.
Apollo Global Management chief economist Torsten Slok issued an AI debt warning last month. He said the cost of insuring cloud giants’ debt against default signals risk in debt-funded AI spending.
In contrast, Gordon said Federal Reserve hikes at roughly every other meeting would be the best case for stocks. Such a pace would not aim to slow growth sharply or hit the labor market.
Still, the index now rests on a few spending budgets, while the average stock has already taken a double-digit hit. Third-quarter earnings season, which opens this month, will show whether those budgets hold.

OKX filed with the US Securities and Exchange Commission (SEC) on Sunday to trade tokenized US stocks. The venture plans to start with 63 companies listed on the New York Stock Exchange (NYSE).
The SEC opened a five-year exemption for on-chain trading 17 days earlier. However, volume caps and a 30-day issuer objection window could shrink the first-mover reward.
Does Moving First on Tokenized US Stocks Matter?
The filing came through OKXICE LLC, a joint venture with NYSE owner Intercontinental Exchange (ICE), Bloomberg reported. ICE’s OKX investment valued the exchange at $25 billion.
In September, tokenized stocks accounted for an 11% average share of decentralized exchange (DEX) trading. The exemption caps each venue at 75 top-tier stocks, typically S&P 500 and Russell 1000 members.
Today we are announcing a major step forward for OKXICE, the joint venture between @okx and Intercontinental Exchange, parent company of @NYSE:OKXICE has notified the SEC that we intend to launch our Tokenized Securities Venue (TSV) under the SEC’s new Innovation Exemption.…
— Andrew Cuomo (@andrewcuomo) October 5, 2026
Each token’s trading cannot exceed 0.25% of the stock’s prior-month volume. A repeat breach forces a three-month pause. Therefore, OKX’s initial 63 names would fill most of the 75-symbol ceiling if they sit in the top tier.
Issuers also hold a veto. Companies that did not authorize tokenization can block a listing by objecting within 30 days. Each venue must send its own notice.
Rivals face the same limits if they use the exemption. Coinbase, for example, launched tokenized US stocks for eligible non-US customers in August.
Can an Agency Order Protect a First Mover Until 2031?
The exemption expires in September 2031 and remains an agency order, not legislation. The Senate failed to advance the Clarity Act, a bill that would set federal crypto market rules, last month.
OKXICE co-chair and former New York governor Andrew Cuomo has warned that agency rules are fragile. He expects a new Congress to scrutinize such rules.
Still, the SEC has asked whether to make the exemptions permanent.
Meanwhile, NYSE struck an early-stage agreement with Blockchain.com covering its own digital venue. That firm claims 44 million accounts.
First-mover status may hinge less on filing dates than on user reach, issuer consent and the next Congress. If tokenized stocks scale, the volume caps and the 2031 expiry could decide who profits.

Egan-Jones, a US credit rating firm, says AI disruption will hit professional services, venture capital and housing first. It regards a broad economic overhaul as virtually assured.
The firm’s Oct. 1 report, titled “It’s Over,” targets institutional investors and risk managers. Egan-Jones notes that credit analysts did not write it.
Where Does Egan-Jones Expect AI Disruption to Land First?
Professional services top the list because those firms bill clients for expertise by the hour.
As evidence, the report cites Big Four accounting network KPMG pressing its auditor, Grant Thornton UK, to share AI savings. UK filings show the audit fee fell 14%, from $416,000 to $357,000, the Financial Times reported.
It also points to IBM, whose shares fell 13% on Feb. 23, the steepest drop since 2000, according to Bloomberg. Anthropic had said Claude Code could speed up modernization of COBOL, a decades-old language used on banking mainframes.
Not every analyst saw lasting damage. Evercore ISI kept an Outperform rating on IBM after the drop. It noted IBM already sells its own modernization tools, per Investing.com.
Venture capital follows, in Egan-Jones’s telling. The firm reasons that startups scaling on less capital leave venture firms with less leverage and lower returns.
It suspects few limited partners (LPs), the investors who fund those firms, have priced that in.
Can Lost Jobs Really Drag Down US Home Prices?
Egan-Jones notes that households with mortgages often rely on two paychecks. One job loss could prompt a sale within six to 12 months.
US home prices rose 1.6% in the year to June, well below the 4.3% average since 1987, and S&P data put July at 1.9%. Source: Egan-Jones
Prices already trail inflation. The S&P Cotality Case-Shiller national index rose 1.9% in the year to July. Consumer prices climbed 3.4%, S&P data show. Real values have fallen for 14 straight months.
Meanwhile, Redfin data show sellers outnumbered buyers by 57.9% in August, a record US home seller surplus.
The Kobeissi Letter, a markets newsletter, put AI-exposed sector job losses at about 11,000 a month. That was the average over the three months to June.
Egan-Jones frames the housing hit as short-term and expects scarce city land to hold its long-run value. How much AI savings reach clients, as at KPMG, may decide how far margin pressure spreads.

Gary Marcus, a New York University professor emeritus, says AI agents need a recall because developers cannot reliably control them. The Federal Trade Commission (FTC) is now probing OpenAI and Anthropic.
Marcus spoke to Bloomberg’s The Close after six AI firms signed a voluntary White House pledge on Sept. 29. He argues the pledge changes little, because those companies already owed users safe products.
Why Gary Marcus Says a Voluntary Pledge Falls Short
The White House Accord on Super Intelligence asks companies to maintain internal controls and work with outside auditors. Google, Anthropic, Meta, OpenAI, xAI, and Nvidia signed it.
However, the accord carries no penalties and requires no public disclosure of audit results.
Meanwhile, regulators are not waiting. The FTC has opened a probe of OpenAI, Anthropic, and other AI developers. The probe follows OpenAI agents accessing systems at AI model-sharing platform Hugging Face without authorization.
A May safety test at Google also ended with Gemini accessing three companies, the company has confirmed.
Marcus likens the flaw to a defective product.
“It’s like if Ford Motor Company decided to save money by making brakes out of cardboard, then a lot of their cars would go out of control.”
Gary Marcus, co-founder of Robust AI, speaking to Bloomberg
Google CEO Sundar Pichai has defended the accord as a workable foundation with concrete safety steps.
Could a Recall Collide With the AI Spending Boom?
In his view, effective agents need enormous cloud capacity, and the industry could pause that buildout. He also claims labs favor agents because they consume more tokens, which lifts revenue. Companies led by the White House attendees are spending hundreds of billions of dollars on AI infrastructure.
A BeInCrypto analysis has flagged an AI funding gap signal that preceded the dot-com and housing busts.
Marcus concedes that international rules are not coming soon. His near-term ask is narrower, a recall of agents.
Whether regulators treat agents as defective products or growth engines may shape how much of that spending proceeds.

Rich Dad Poor Dad author Robert Kiyosaki said that he calls himself a “financial prepper”, comparing scarce assets to the insurance drivers buy before an accident.
His argument holds even as gold, silver, and Bitcoin trade well below the targets he has repeatedly promoted.
What Being a “Financial Prepper” Means
A financial prepper holds assets a central bank cannot create, treating them as protection against currency debasement rather than a wager on collapse.
Kiyosaki built that definition during a public exchange. Asked whether prepping signaled pessimism, he answered that drivers never hope for crashes, yet they still carry coverage.
WHY I AM A PREPPERSpeaking to a group the other day I mentioned I was a prepper.A woman raised her hand and asked “If you are a prepper, aren’t you being pessimistic? Isn’t positive thinking healthier?I replied “Do you have insurance on your car?”She replied “Yes”“Are…
— Robert Kiyosaki (@theRealKiyosaki) October 3, 2026
He then asked a listener a direct question: did she own gold, silver, or Bitcoin? She said no, arguing that officials would print more money during a crisis. Kiyosaki turned that answer into his point. Printing dilutes purchasing power, and that dilution is inflation.
Governments reach the same wealth through a second route: taxation. His conclusion was blunt. Kiyosaki wants only money that no central bank can print. He also holds oil wells, since governments remain dependable buyers of crude.
His warnings to investors come down to three points:
Treat scarce assets as insurance against debasement, never as a promise of quick returns.
Expect purchasing power to erode through printing and taxation, even when headline prices look stable.
Hold what no authority can create at will, because supply limits are the actual protection.
Do the Numbers Support the Kiyosaki Thesis?
The macro backdrop partly validates him. Total United States public debt exceeds $40.2 trillion. The personal consumption expenditures price index, the Federal Reserve’s preferred inflation gauge, holds near 3.4% annually, above the 2% target, while the federal funds rate sits between 3.75% and 4%.
Prices tell a messier story. Gold trades near $4,140 per ounce after peaking above $5,400 earlier this year. Silver sits around $60, down roughly 16% in 2026. Bitcoin hovers near $85,450, up more than 32% last quarter but still below its 2025 peak of roughly $126,000.
Kiyosaki has forecast gold at $27,000, silver between $100 and $200, and Bitcoin reaching $250,000. None arrived. The gap separates a structural argument about debasement from short-term price calls.
That distinction matters for anyone reading his posts as trading signals. Gold and silver still show strong multi-year gains measured from their earlier lows. Bitcoin’s fixed supply of 21 million coins continues to separate it from assets that policy can expand at will.
What the record does not show is the dramatic rupture he often describes. Debt and inflation remain elevated, yet official figures stop well short of catastrophe. Investors bought the insurance, the accident never arrived, and volatility remains the premium they keep paying.
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Dan Ives of Yorkville Ives & Co. explains why robotaxis and Optimus could make 2027 Tesla’s golden year. His case rests on businesses that have yet to prove themselves.
Tesla (TSLA) beat third-quarter delivery estimates with 486,532 vehicles, yet the Model 3 and Model Y made up 98% of them. Ives says the shares now trade on what comes next.
What Would Make 2027 Tesla’s Golden Year?
Ives told CNBC that demand is stabilizing, helped by a rebound in Europe after several years of declines. However, he does not expect the Cybertruck, which sits at the high end of the market, to move demand much.
His timeline starts with robotaxis, driverless ride-hailing cars, reaching more cities in early to mid 2027. Regulation has slowed that rollout so far, he said.
Optimus, Tesla’s humanoid robot, would follow in the second half of 2027. Ives links both to Tesla’s shift from an electric vehicle maker to an artificial intelligence (AI) company.
“And that’s why 2027 I think could be a golden year for Tesla.”
Dan Ives, partner and senior managing director at Yorkville Ives & Co., via CNBC
Ives also puts Tesla and SpaceX merger odds above 80% by the end of 2027.
Does Tesla’s Price Already Assume the AI Payoff?
In contrast, Wells Fargo analyst Colin Langan kept an Underweight rating on Tesla in July, a sell equivalent. His $130 target sat about 67% below the roughly $396 share price at the time.
Tesla is down nearly 20% YTD, but has mounted a comeback since late July. Image Source: Trading View
Langan expects price cuts and rising input costs, including copper and lithium, to blunt the profit from higher volume.
Meanwhile, Ives argues the AI trade is only in its third inning, with chip demand running 13-to-1 against supply.
The question reaches beyond Tesla, to how long investors will fund AI bets before robots and driverless cars produce revenue. Tesla’s earnings report on Oct. 21 will give the next read on car margins.

Job postings that mention agent orchestration jumped 1,721% this year, according to hiring data firm Draup. Banks including JPMorgan Chase, Citigroup and Capital One listed 139,819 AI-related roles, a 49% rise from 2025.
The hiring push runs against the broader US labor picture. Employers have cited AI in more announced job cuts this year than any other reason.
Banks Move From Chatbots to Teams of Agents
Agent orchestration means designing several agents to work together on one task. One agent might inspect raw data, another reads a document, and a third checks compliance.
The 1,721% jump comes from a small base, though. References rose from 108 in 2025 to 1,967 this year, while prompt engineering still leads in volume with 11,368.
“This is arguably the hottest skill on Wall Street. It’s a massive opportunity,” said Draup CEO Vijay Swaminathan.
Mentions of LangGraph, a framework for multistep workflows, rose 679% to 5,300. References to retrieval-augmented generation (RAG) climbed 259% to 5,262.
Most referenced AI and data skills in banking job postings, 2025 vs. 2026. Source: Draup/CNBC
Oversight roles are growing alongside them. Mentions of responsible AI surged 657%. Governance skills now log over 16,000 references, nearly double those tied to running models.
Banks have courted hybrid talent elsewhere too, including crypto roles at JPMorgan and Citi.
Layoff Reports Point the Other Way
Data from Challenger, Gray & Christmas shows a different picture for workers. US employers cited AI in 120,136 announced job cuts through September, about 21% of the total.
Technology firms announced 165,925 cuts this year, up 54% from the same period in 2025. FinTech cuts rose 331% to 7,806. Overall layoffs are slowing, however.
September cuts fell 18% from August to 43,281, yet year-to-date hiring plans sit just 3% above 2025. Andy Challenger, the firm’s chief revenue officer, described employers as cautious.
“Companies are in a wait-and-see period right now.”
Swaminathan said banks are relying on internal reskilling to fill specialist roles. JPMorgan CEO Jamie Dimon has also described large redeployment plans as AI takes on more work.
Challenger’s coming monthly reports may show whether that redeployment keeps pace with AI-linked cuts elsewhere.
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Elon Musk’s artificial intelligence (AI) company took the name SpaceXAI on July 6. Ninety days later, Musk says that name is going too.
The new name is SpaceXSI. The SI stands for Super Intelligence, a phrase President Donald Trump now wants Washington to use instead of AI.
3 Posts on X Started the SpaceXAI Name Change
It began with three short lines. “No more AI,” Musk posted early Sunday. Then “SI.” Then “It’s better.”
No more AISIIt’s better
— Elon Musk (@elonmusk) October 4, 2026
Elon Musk also referred to SpaceX as “a super intelligence company.”
SpaceX is a super intelligence company
— Elon Musk (@elonmusk) October 4, 2026
Notably, however, nothing else has changed. The website and social accounts still said SpaceXAI as of this writing. There is no date and no word on the legal name.
SpaceXAI name change timeline from xAI to SpaceXSI. Source: BeInCrypto] Musk Signed Trump’s AI Pact 5 Days Before Saying “No More AI”
Washington moved first. On September 29, Trump signed an order telling federal agencies to swap AI for SI in letters, reports, and websites.
The wording leaves little room.
“…the executive branch… will not acknowledge the usage of “Artificial Intelligence” and “AI” in any applicable setting,” read an excerpt in the White House order.
The White House argues that “artificial” makes the technology sound like a copy of human thinking.
That same day, Musk signed a voluntary safety pact at the White House. The bosses of Nvidia, Google, OpenAI, Meta, and Anthropic signed too.
BeInCrypto flagged the shift early. On September 29, Polymarket traders priced a 53% chance of an AI rename by September 30. Polymarket lets users bet on real-world events. Trump signed the order that day.
Stock investors now own this brand too. SpaceX listed on Nasdaq as SPCX on June 12, raising $75 billion at a $1.77 trillion valuation.
Its AI arm makes Grok, the chatbot built into X. This year it went from xAI to SpaceXAI. SpaceXSI would be its third name.
The next marker comes in late November. By then, Trump’s science adviser must propose a law defining Super Intelligence.

Peter Schiff says MicroStrategy has pulled its Stretch (STRC) preferred stock back toward its $100 par value. However, he argues the company has lost the issuance channel that funded its Bitcoin purchases.
Even so, Strategy has kept adding Bitcoin, funding its latest purchase with proceeds from common stock sales.
Schiff Credits Buybacks and a Bitcoin Rebound for STRC’s Recovery
Schiff, a longtime Bitcoin critic, made the case on his October 2 podcast. He said STRC trades near $99.4, a recovery he admitted surprised him.
MicroStrategy Stretch (STRC) Stock. Soure: TradingView
He credited Strategy’s weekly STRC buybacks and Bitcoin’s rally for the move. Schiff said that rally may have restored some confidence in the stock or triggered short covering.
The preferred stock had sunk to about $75 earlier this year, which CEO Phong Le blamed on unexpected leverage.
Referring to Executive Chairman Michael Saylor, Schiff argued that the rebound has not reopened Strategy’s key funding route.
“There’s no way that he’s going to be able to start selling more Stretch; that means he’s not going to be able to raise money to really start buying more Bitcoin,” Schiff said.
He added that Strategy has raised enough cash to keep paying STRC dividends a little longer before it runs out. However, he said the company no longer has the machinery to buy more Bitcoin.
Saylor, for his part, pointed to calmer trading in the stock. He said STRC’s 30-day historical volatility stood at 9% as of October 2. That put it below the 10% reading for the SPDR S&P 500 ETF (SPY).
A milestone for Digital Credit: $STRC’s 30-day historical volatility is now 9%, below $SPY. We’re harnessing the power of Bitcoin while reducing price volatility for income investors. This is what financial engineering should do. pic.twitter.com/Jka7oOesa1
— Michael Saylor (@saylor) October 3, 2026
Common Stock Has Funded Most of Strategy’s Bitcoin Buys Since May
Strategy’s weekly filings support part of Schiff’s argument. The company last sold STRC through its at-the-market program between May 11 and 17, raising about $1.95 billion.
Its remaining STRC capacity has held at about $17.51 billion in every filing since, meaning no further shares were sold.
Strategy then paused Bitcoin buying for 10 weeks over the summer, selling coins instead to fund dividends and STRC buybacks. When it resumed in late August, it relied on other funding sources.
It sold class A common stock (MSTR) to fund 4,603 BTC that week and 1,665 BTC in late September. In between, it spent $75.7 million from its USD Cash account on 950 BTC.
Common stock proceeds also flow back into STRC. Between September 21 and 27, Strategy used $103.5 million from MSTR sales to repurchase STRC shares.
Strategy also held a $5.02 billion USD Reserve as of September 27. The company says the pool is meant to support preferred dividends and debt interest.
Schiff expects Bitcoin to roll over once tech stocks pull back. Strategy usually reports purchases on Mondays, so its next filing will show whether common stock sales keep funding its buys.
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In 1993, Nvidia gave an early advisor 25,000 stock options. He now says the company shorted him 9,375 of them, a slice worth about $1.05 billion today.
Nvidia never called his paperwork fake, he says. It argued he was 30 years too late.
A Houseboat Demo and a Letter From Jensen Huang
The advisor is Eric Gullichsen, a virtual reality pioneer. In 1993, Nvidia’s founders visited his Sausalito houseboat to see his graphics work.
Jensen Huang, Nvidia’s chief executive, invited him onto its Technical Advisory Board. Huang’s letter offered 25,000 options that “vests over 4 years.”
A stock option is the right to buy shares later at a fixed price. Vesting is the timetable for getting that right.
The signed option agreement said something else. Gullichsen quotes it vesting fully “upon the expiration of one year from Grant Date.”
A former Nvidia advisor says a stock option mistake from 1993 may have cost him more than $1 BILLION.His disputed 9,375 options would be worth roughly $1.01 BILLION today but Nvidia says the decades-old claim came too late. pic.twitter.com/oUj8DsPicp
— Bull Theory (@BullTheoryio) October 4, 2026
In April 1996, Nvidia’s finance chief wrote that only 15,625 options had vested. That matches 10 quarters on a four-year clock.
Gullichsen bought those shares and forgot about them.
Jensen Huang’s 1993 invitation letter offering 25,000 Nvidia stock options “which vests over 4 years,” Source: Eric Gullichsen Why the $1 Billion Claim Never Reached a Judge
In 2024, he reread the folder. On a one-year clock, all 25,000 options should have vested.
The stock has split 480-for-1 since then, he says. The missing 9,375 options now equal 4.5 million shares. At Friday’s $233.95 close, set on the day of a new record high, that is about $1.05 billion.
What 9,375 Nvidia options became: 9,375 options (1993) vs. 4,500,000 shares after 480-for-1 splits; value at Oct. 2, 2026 close of $233.95 = $1.05 billion, Source: BeInCrypto, Eric Gullichsen
He hired lawyers. After a year of letters, Nvidia’s outside law firm, Cooley, answered in effect “so sue us.”
“NVIDIA did not dispute the authenticity of the option agreement, only that my claims were long since time-barred,” Gullichsen wrote in an essay.
Time-barred means the deadline to sue has passed. California, where Nvidia is headquartered, generally allows four years for written contracts. His essay does not say which law applied.
His lawyers expected the case to be thrown out early. No lawsuit was filed.
A $1,000 stake at Nvidia’s IPO was worth about $8.39 million by late August, BeInCrypto’s biggest IPO returns study found.
“Here in the land of the free, it turns out a company only has to honor its contractual obligations for a little while,” Gullichsen remarked.

Iran’s oil minister, Mohsen Paknejad, quit on Sunday. State media gave no reason.
Hours earlier, he said oil money was still coming in. Yet Iran loaded no oil at its export terminals in September, Fortune reported. That had not happened since the 1979 revolution.
Iran’s Last Oil Cargoes Are Running Out
An official in President Masoud Pezeshkian’s office announced that the president had accepted the resignation. Shortly before the news broke, state media carried Paknejad’s last public remarks on Iran’s oil income.
“…revenues of the oil that we have sold are still coming and that will continue God willing,” Paknejad said.
That money is from oil sold before mid-July. Then the US Navy reimposed its blockade of Iranian ports.
Since then, Iran has lived off crude already sitting on tankers outside the blockade. Kpler, a ship-tracking firm, put that stock at 90 million barrels in mid-July. By early September, it was about 29 million.
Kpler said it could be gone by mid-October. Payments may trail into December. Even those are hard to collect, President Masoud Pezeshkian has said.
“We can’t even get our own money out of a country to which we’ve supplied goods…” Fortune reported, citing Pezeshkian.
Oil funds about a third of Iran’s budget. The rial has crashed to a record 2.7 million per dollar.
BREAKING: Iran's currency has fallen to 2.69 million per US Dollar, a record low.
— The Spectator Index (@spectatorindex) October 3, 2026
Why Crude Prices Have Not Jumped as Iran Goes Quiet
On screen, the Strait of Hormuz looks shut. About six ships a day are visibly crossing, 7% of normal, hormuz.now data shows. Only 16 visible tankers crossed in the past week.
Daily ships crossing Hormuz. Source: hormuz.now
But that count only sees ships broadcasting their location. Kpler estimates 13.1 million barrels a day of oil and fuel still crossed in the latest week, close to 80% of pre-war levels.
Tanker tonnage through Hormuz. Source: hormuz.now
The hidden flow belongs to Iran’s neighbors. In August, more than 70% of crude crossing the strait was swapped between tankers at sea, Kpler said. Pipelines now carry 40% around it.
Brent, the global benchmark, sits at $101.93, BeInCrypto chart data shows. That is up from the mid-$60s before the war, but well below spring’s peaks.
OIl Price Performance (WTI and BRENT). Source: TradingView
Oil barely moved after last week’s Hormuz tanker attack. Traders have even placed record bets against oil.
Kpler’s mid-October date is now days away. Iran’s oil ministry is in the hands of Hamid Bovard, its acting minister and head of the state oil company.

David Robinson, who oversaw safety reports for 12 of OpenAI’s frontier launches, has resigned. He says the company’s trial-and-error culture guarantees failures that grow as its systems get more capable.
In an Atlantic essay, he urged AI labs to run like nuclear power plants, with layered redundancy and careful planning to contain human error.
Robinson Joins a Lengthening Line at the AI Lab Exit
Robinson spent 3.5 years at OpenAI and led the drafting of its current Preparedness Framework. He pointed to this summer’s Hugging Face incident, when OpenAI agents broke into its systems.
Robinson noted that even after fixes, a model in training slipped past internet restrictions without an automatic shutdown.
“Given today’s risks, frontier labs need to run like nuclear-power plants or busy airports, with layers of redundancy and careful, time-consuming planning, so that the occasional and inevitable human error does not open a door to disaster. Right now, AI companies don’t know how—but other people do,” he wrote.
The essay notes that OpenAI stands by its safety practices and considers them careful enough. Last month, the company also launched a framework for publicly disclosing misaligned model behavior.
“My former colleagues are smart, work hard, and try to make good choices. But as the company sprints from one launch to the next, it is failing to achieve the level of care that I believe is needed,” Robinson added.
Robinson is the latest in a string of AI safety insiders to go public since early September. That run began in early September, when Anthropic researcher Jacob Coxon resigned and accused both Anthropic and OpenAI of gambling with human lives.
Days later, 2 former Google DeepMind researchers, Bilal Chughtai and Josh Engels, also warned of AI risks. OpenAI safety researcher Marcus Williams put human extinction odds at 70% within 3 years.
Anthropic CEO Dario Amodei has also urged a slower pace, and OpenAI’s Sam Altman backed the plan. The release calendar has not slowed, though. Anthropic released Claude Opus 5.5, and OpenAI shipped GPT-6 Sol and Luna on September 22.
Washington Answers the Alarm With a Task Force
Robinson argues that stronger safety incentives now have to come from outside the labs. So far, Washington has answered with a review.
Director of National Intelligence Jay Clayton, now effectively the administration’s AI czar, will lead a new White House task force. It has 120 days to report on AI’s risks, opportunities, and Washington’s responsibility.
“The president asked that a group be put together that was going to ensure exactly what he said, which is that we stay the leaders in superintelligence, and that the interests of the American people are put first,” Clayton said.
However, Trump has rejected calls for halting AI development and put staying ahead of China first. He instead backed a voluntary accord built on outside safety audits and stronger internal controls. Weeks earlier, he announced an AI Force modeled on the Space Force.
The task force’s charter also covers how the government tracks AI breaches and hacks, the kind of failures Robinson described inside OpenAI. Clayton’s report, due in early 2027, will show whether those failures lead to binding rules or stay with the labs.
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In the middle of a French bond crisis, a Japanese fund sold every French government bond it owned. On Thursday, Japan publishes the first data showing whether it was alone.
In the 2024 yen shock, Bitcoin (BTC) and Ethereum (ETH) fell as much as 20%, which suggests the stakes this week may extend well beyond Paris.
France Is Paying Its Highest Borrowing Costs Since 2002
Shinji Kunibe runs the global bond team at Sumitomo Mitsui DS Asset Management. His funds sold all their French government bonds. The money went into German bonds and short-term Japanese debt. The size was not disclosed.
His worry was France’s finances. Paris owes about 119% of its yearly economic output. Its 10-year borrowing rate touched 4.96% last week, the highest since 2002.
“When the bid from Japan disappears, the largest European sovereign market has to find new buyers at the same time its own government is arguing over a deficit plan that markets already distrust,” said Stern Drew, a commodities expert.
According to Drew, Japan may have broken the French bond market.
Yet France has not run out of buyers. It sold about €12 billion of long-term bonds on October 1. Bids came in at roughly twice that, according to France’s debt office.
What Japan’s Thursday Numbers Will Reveal
Japan’s Ministry of Finance releases weekly trading data at 8:50 a.m. Tokyo time on October 8, per its calendar. It tracks the country’s biggest banks, insurers, and funds.
The last report ended September 26, days before Kunibe’s sale. It already showed selling. Japanese investors dumped a net ¥684.5 billion ($4.3 billion) of foreign bonds that week, and ¥1.9 trillion ($12 billion) the week before, ministry data show.
Japanese investors’ weekly net trades in foreign bonds. Source: Japan Ministry of Finance. Chart: BeInCrypto
There is a catch. The report never names France. It counts every foreign bond as one pile.
Why Bitcoin Traders Are Watching Japan
For years, investors borrowed cheap yen to buy higher-paying assets abroad. This is the yen carry trade. When the yen jumps, those loans get costlier and holders are forced to sell.
The Bank for International Settlements put those trades at about $250 billion before the August 2024 crash.
But Bitcoin has survived a yen shock since. In September, the yen strengthened 3.7% in days, while Bitcoin held above $79,000, BeInCrypto reported at the time.
On Sunday, Bitcoin traded at $85,363, up 0.46% in 24 hours, according to BeInCrypto’s Bitcoin price data.
Bitcoin Price Performance. Source: BeInCrypto
Stern Drew says Japan has already broken the French bond market. On Thursday, Japan’s own numbers get their say.