Crypto
Australia’s 40-Year Outlook Cites ‘AI Revolution’ but Skips Crypto
Australia’s new 40-year Intergenerational Report—released by the Australian Treasury—spotlights artificial intelligence as one of the major forces expected to reshape the economy. Yet the document does not mention crypto or digital assets, even as separate government work in recent months has pointed toward tokenization and upgrades to financial infrastructure.
In the report published Monday, Treasury says agentic AI systems have become “significantly” more capable, more autonomous, and widely adopted, including surpassing human-level performance on some benchmarks. The Intergenerational Report frames technology adoption and productivity gains as critical to Australia’s prosperity over the next four decades, alongside four other transitions: geopolitical conflicts, an aging population, the shift to clean energy, and an industrial transformation toward services.
Key takeaways
- Australia’s Intergenerational Report names agentic AI as a core economic transition but omits crypto and digital assets entirely.
- Treasury’s related “Financial Innovation Strategy” links AI-driven machine-to-machine activity to demand for real-time, interoperable, programmable payment systems.
- Coinbase Australia’s John O’Loghlen argues the government focus on AI misses the financial “rails” that tokenized and stablecoin-based infrastructure could provide.
- The omission stands out against earlier central-bank and research discussions about tokenized finance and potential digital finance gains.
AI as the headline transition—without a digital-assets mention
The Intergenerational Report’s framing is broad and forward-looking. It portrays AI adoption—especially agentic systems that can act with a degree of autonomy—as a productivity driver that could affect how economic activity is organized across industries. Treasury’s report also stresses that Australia’s ability to incorporate new technologies will determine long-term economic outcomes.
However, the report’s silence on crypto stands in contrast to how tokenization has increasingly moved from niche experimentation toward mainstream policy discussion. The article notes that earlier Intergenerational Reports also did not address digital assets, and this new omission arrives despite other public-sector work emphasizing tokenized finance and financial infrastructure upgrades.
Why “financial rails” matter for agentic AI
Agentic AI is often described as technology that can coordinate tasks, including transactions, with reduced human involvement. Treasury’s separate publication—the “Financial Innovation Strategy,” released on Sept. 3—addresses the operational implications of this shift more directly.
That strategy report states that agentic systems could increase automated and machine-to-machine transactions, which would raise demand for real-time, interoperable, and programmable payment mechanisms. In other words, the document connects AI automation to the need for payment infrastructure that can be integrated, scaled, and updated more quickly than traditional models.
Coinbase Australia country director John O’Loghlen, responding by email to the Intergenerational Report, argued that the broader AI focus misses a central piece of the puzzle: the “financial infrastructure those agents will need.” He suggested that policies should extend beyond AI itself to the rules and frameworks that enable digital finance to function as the underlying system layer for automated agents.
Regulatory groundwork exists—but stablecoin rails are next
O’Loghlen pointed to regulatory progress already achieved in Australia, referencing the Digital Asset Platform framework as having provided the “necessary regulatory clarity.” In his view, the policy challenge now is to apply similar focus to additional infrastructure that could support digital finance at scale.
Specifically, he argued that policymakers should turn attention to the tokenized stored-value facility framework for stablecoins and to clear rules for tokenized markets. His framing suggests a sequencing problem: if agentic finance will depend on programmable, interoperable settlement and value transfer, Australia needs well-defined frameworks for stablecoins and tokenized market structures to serve as the rails for that activity.
While the Intergenerational Report itself does not go into these details, the accompanying policy direction in the Financial Innovation Strategy provides a rationale for why such frameworks could become more important as automation increases—particularly if machine-driven transaction flows require payments infrastructure designed for interoperability and programmability.
The broader context: tokenized finance is already on the policy radar
The contrast between the Intergenerational Report’s AI emphasis and its lack of crypto coverage is sharpened by other references highlighted in the source material. It notes that the Reserve Bank of Australia has increased its focus on tokenized finance and financial infrastructure upgrades earlier this year, reflecting growing attention to how tokenization could improve settlement and economic activity.
It also cites a Digital Finance Cooperative Research Centre estimate suggesting digital finance innovations could generate AU$24 billion (about $17.1 billion) in annual economic gains. Taken together, these points indicate that Australia’s policy ecosystem is already engaging with the potential economic impact of digitized financial systems—even if that engagement is not reflected in the Intergenerational Report’s technology-transition shortlist.
For investors and builders, the implication is less about whether crypto is “included” in a long-range economic narrative and more about whether regulatory and infrastructure planning is keeping pace with the transaction demands that agentic AI could accelerate. Treasury’s own mention of real-time, interoperable and programmable payment systems in the Financial Innovation Strategy suggests that the government recognizes how automation changes transaction patterns, even if it does not explicitly name digital assets in the Intergenerational Report.
As Australia moves from strategy language toward operational rules, readers should watch for whether stablecoin-related frameworks and tokenized market regulations receive the same level of prioritization that AI adoption and productivity are given in the Intergenerational outlook—especially given the growing likelihood that automated agents will intensify demand for programmable, interoperable payment “rails.”
Market action since 2022 backs Thielen’s take. The 10-year yield more than doubled to 3.88% that year as the Fed raised interest rates rapidly, including several 50- and 75-basis-point hikes to fight inflation.
Bitcoin fell 64% that year. Fed tightening and rising yields added to the pain from crypto scams and blowups.
The picture has been different since. From the end of 2023, the 10-year yield has risen 135 basis points to 5.23%, the highest since 2007. Over the same stretch, bitcoin has roughly doubled to $86,000, even after pulling back from its October record above $126,000.
Thielen and others attribute much of the recent rise in yields to fiscal fears and a higher term premium. In plain English, investors want to be paid more to lock up their money in long-term bonds, given the uncertainty over inflation and government borrowing.
Chicago-based Strategic Analytics made a similar point about gold, noting that it has tracked fiscal risk more closely than the Fed’s policy path since 2022.
“Since 2022, gold has increasingly tracked fiscal-risk perceptions – term premium, deficits, debt sustainability – rather than the Fed’s policy path. Gold is not defying real yields. It is pricing fiscal sustainability and currency debasement, which has become the marginal driver,” it said recently in a LinkedIn post.
Humanoid robots box during the 5th Global Digital Trade Expo on September 25, 2026 in Hangzhou, Zhejiang Province of China.
Vcg | Visual China Group | Getty Images
BEIJING — China’s securities regulator is raising the bar for public listings of humanoid robot startups, according to three sources familiar with the CSRC’s thinking.
It’s a sign of how one of the hottest sectors of the market is cooling, as investors globally assess whether artificial intelligence stocks are in a bubble.
The Chinese regulator wants local “embodied AI” startups seeking to go public to meet three specific criteria, according to the sources, who requested anonymity due to the sensitivity of the situation.
They are:
- The “window guidance” requires that the humanoid applicants have sustainable revenue and commercial orders.
- Losses must narrow, with one source saying a three-year forecast is needed.
- The company must possess core technology such as robotic brain or hands.
Even if a startup only has to meet two of the three criteria, as one source indicated, it’s unclear which, if any, of the companies can do so.
That’s lowered expectations to just a handful, or none, of these startups making it to public markets, the sources said.
At least two dozen humanoid-related embodied AI companies have filed to list in Hong Kong alone, according to two of the sources. Hong Kong in May 2025 started letting tech companies file confidentially for IPOs.
The Hong Kong stock exchange declined to comment. The China Securities Regulatory Commission did not immediately respond to a request for comment. Mainland China companies wanting to list in Hong Kong also need the CSRC’s blessing.
Unitree IPO impact
Scrutiny on China’s growing number of humanoid robot startups and their fast-growing valuations — supported by a mix of government and private sector funds — has grown over the last several weeks.
The industry’s posterchild, Unitree, got a regulatory fast-track to its listing in Shanghai on Aug. 19 as the World Robot Conference kicked off in Beijing.
But in a keynote a day later, founder Wang Xingxing cautioned that commercialization beyond dancing robots remained years away. It accentuated a debate that picked up in subsequent weeks on what humanoids can actually do — and whether industry startups were actually making money.
China now has well over 100 humanoid companies, which fall under the national push for “embodied AI.” The term received Beijing’s support in the last two annual government work reports, although authorities have warned of a bubble in the humanoid robot industry.
Reflecting a rapid surge in interest, investment in the sector hit 47.09 billion yuan ($6.95 billion) in the second quarter, more than double that of the first quarter — and up over six times versus the same period last year, according to industry data provider Xiniu.
Unitree raised about about 6.1 billion yuan ($905 million) in its IPO on Aug. 19 with Shanghai-listed shares skyrocketing more than 460% in their debut to close at 845 yuan.
The stock had nearly halved in price as of Monday, at 459.65 yuan a share.
Hong Kong-listed Ubtech has also tumbled more than 40% so far this year. The company, which went public in December 2023, still reported an operating loss for the first half of this year of 279 million yuan.
The share price decline contrasts with the flood of capital pouring into humanoid robotics companies over the last 12 months or so. The tech, often called “physical AI” in China, has been seen as a way for early-stage investors to benefit from the surge of interest in artificial intelligence models.
However, Rhodium Group analysis this month found that China’s AI companies only make about 10% the revenue of Anthropic and OpenAI. The ratio of valuation to revenue — especially for Chinese AI startups Moonshot and DeepSeek — was far higher than their U.S. rivals, the report said.
While expectations grow for the U.S. AI giants’ IPOs, chipmaker AMD said Monday it is acquiring World Labs for $8.2 billion in a stock deal. The startup, founded by AI pioneer Fei-Fei Li, is building AI models for creating virtual 3D environments frequently used in humanoid robot development.
The launch this morning was both imperfect and stripped down to its orbital essentials. On the way up, one of the Starship’s six engines failed to burn properly, requiring the other engines to compensate for the missing thrust to get the ship in orbit.
In addition, the return to Earth was simplified. SpaceX has made itself famous for safely landing the first stage of its Falcon 9 and Starship boosters—with 641 out of 688 Falcon 9 launches featuring this kind of recovery, allowing the boosters to be reused and make flying cheaper. Starship’s first stage, meantime, performs what has become known as a chopstick recovery, with the booster navigating its way back to the launch tower where two giant metal arms pluck it from the sky. For the current mission, the chopstick recovery was done away with to simplify the flight objectives; instead the first stage made a soft, engine-assisted splashdown in the Gulf of Mexico. The Starship spacecraft was planned for a six-orbit, 10-hour mission, with the ship’s engines set to fire around the dinner hour Monday to bring the spacecraft down for a similar gentle, watery landing.
Goldman Sachs’ Anshul Sehgal says bonds yielding 5% or more are not the best trade right now. He still favors AI infrastructure, which he sees as a far more asymmetric bet than the long bond.
Sehgal, a global co-head of Fixed Income, Currencies and Commodities (FICC) at the bank, laid out the view just a few days after the Federal Reserve raised interest rates.
Why Goldman Sachs Is Passing on 5%+ Bonds
On Goldman’s The Markets, Sehgal said the 30-year Treasury, known as the long bond, had hovered around 5% for weeks. He noted that clients want to buy it at 5% or higher, yet he still sees little upside.
The yield has kept climbing since the recording, reaching 5.56% on September 29, a new 52-week high. Sehgal blamed structural pressure for the strain on the long end. Retiring baby boomers are buying fewer long bonds, and heavy long-dated borrowing tied to AI is crowding the market.
Those pressures explain why the selloff can persist even without a fresh inflation shock. Fewer retirees buying long bonds and a steady flow of long-dated borrowing tied to AI both weigh on prices, and neither fades quickly.
Sehgal adds that fear over US debt sustainability makes investors less willing to hold the long end, which feeds on itself.
The takeaway is that a rising yield does not necessarily break his thesis. It may instead show why he sees limited reward in owning the bond, while the risk to his AI trade is that costlier long-term borrowing squeezes the levered companies he favors.
AI Compute Is the Asymmetric Trade
An asymmetric trade offers far more potential gain than risk. Sehgal applies that label to compute (AI computing power), data centers, and Neoclouds, which are cloud providers built to rent out that capacity.
“I think the asymmetric expression is being long compute.”
Anshul Sehgal, Goldman
The catch is leverage. Savers collecting higher interest have effectively financed the AI build-out, leaving equities more indebted than a year ago. Sehgal admits these are levered bets. Still, he thinks they can multiply in value, while the wider stock market looks less certain.
Tighter Policy Hits Spenders, Not Capital
Sehgal says the Fed frames its September 16 hike as catch-up after five years above its inflation target. Schwab counts 16 of 19 Fed officials expecting another increase this year. Fed Chair Kevin Warsh also stressed three times that the Fed is easing back some stimulus rather than turning restrictive, Sehgal adds.
He argues that government interest payments flow to capital rather than workers, so higher rates curb household spending, a risk for the broader stock market.
He also rejects the debt-sustainability fears weighing on long bonds.
“For me, that’s a red herring.”
Anshul Sehgal, Goldman
Meanwhile, BlackRock’s Rick Rieder is cutting equities for bonds paying 7% to 8%, though his high-grade bond call still cautions against rushing into the 10-year Treasury.
Sehgal names the Middle East conflict as the top driver of policy and markets in the weeks ahead.
The post Goldman Sachs Explains Why Not to Buy the 5%+ Bonds and Rather Stick to AI appeared first on BeInCrypto.
“Bitcoin has pulled back to $83K, testing the lower boundary of last week’s consolidation range,” Alex Kuptsikevich, chief market analyst at FxPro, said in an email to CoinDesk. “As with the market as a whole, a retest of the $82K region, where peaks were formed in May and early September, is entirely to be expected under current conditions.”
“Looking ahead, a sustained return to prices below $80K would be an important signal that the market is not ready to move higher for some time yet. If, however, this consolidation is soon followed by a new bullish momentum, it could send the leading cryptocurrency well above $90K,” he added.
The pressure is coming from bonds and oil.
Treasuries steadied in Asia after tumbling during U.S. trading, with the 10-year yield up one basis point to 5.25% after reaching its highest level since 2007 on Monday. A higher guaranteed return on government debt raises the bar for holding assets that pay no income, bitcoin among them.
Brent rose more than 1% to nearly $107 a barrel, its second straight gain, as hopes for an imminent diplomatic breakthrough with Iran faded.
Pricier oil feeds into inflation, and traders have been adding to bets that the Fed will raise rates again. MSCI’s All Country World Index fell to its lowest since Sept. 18, and Nasdaq 100 futures slipped 0.3% after Monday’s tech-led selloff on Wall Street.
U.S. dollar-pegged stablecoin Tether is a go-to tool for the Iranian government to bypass sanctions, a new report from a group of Senate Democrats said.
Democrats on the Senate’s Homeland Security and Governmental Affairs Committee’s Permanent Subcommittee on Intelligence published a report Monday laying out the argument that Tether plays a key role in allowing Iran to conduct transactions that skirt international sanctions.
“Iran’s cryptocurrency-based shadow banking network has processed significant volumes of funds and implicates various Iranian interests,” the report said, adding that Tether has “repeatedly failed” to block Iran-connected wallets.
“USDT has become a significant financial lifeline within Iran’s shadow banking network,” the report said.
When Tether does freeze wallets, it sometimes takes weeks, but the company also sometimes responds to requests without actually blacklisting wallets, the report claimed.
“Prior to 2024, Tether did not comprehensively and consistently freeze wallets designated by counter-terrorism agencies and continues to fail to proactively block clearly illicit wallets,” the report said. “This absence of deterrence invited abuse: terrorist organizations such as Hamas shifted from transacting in Bitcoin and a mix of cryptocurrencies to promoting USDT.”
Elon Musk’s Grok AI predicts an extremely bullish price for Ripple (XRP) by January 1, 2027, that will blow the minds of even the most dedicated members of the Ripple Army.
If you’re holding a sizeable bag of XRP USD, you may want to sit down before reading this. Grok claims that $25–$40 is achievable by 2027, with a stretch target of $50+ under the assumption of a full-blown crypto bull market returning and being supercharged by an unprecedented institutional catalyst.
XRP currently trades near $1.50–$1.52 as of September 28, 2026, down nearly -3% over the past 24 hours and with a daily trading volume of $3.5Bn, up from $3.2Bn the day prior.
This outlook is extreme and leans far beyond standard institutional forecasts. It assumes not only a strong late-2026 bull market driven by liquidity and risk-on conditions, but also a once-in-a-generation catalyst.
What is the Catalyst that Grok AI Predicts Could Spark an XRP Run Toward $40
Major central banks (including the Fed, ECB, Bank of Japan, and PBOC) announcing that the XRP Ledger will serve as a primary settlement layer for cross-border CBDC and tokenized asset flows, combined with large commercial banks being incentivized or required to hold XRP as a liquidity buffer, and revelations of massive sovereign wealth fund accumulation.
Under this highly speculative scenario, forced institutional demand collides with retail FOMO in a classic late-cycle mania, allowing XRP to move from the current ~$1.50 range through previous-cycle highs and into the mid-to-high double digits by early 2027.
This remains pure speculation and entertainment, not a base-case or even high-probability outlook. Crypto markets are extremely volatile, and the catalyst described above would require multiple extraordinary policy and institutional developments.
However, with Ripple’s case against the SEC dropped and its subsequent rise as a highly favored US-based digital asset company under President Trump, anything could be on the table for XRP if the perfect scenario aligns.
Got a Gut Feeling? It Could Pay Out 3.7X on Polymarket
Technical Analysis Supporting the Insane Grok AI XRP Price Prediction
On the higher timeframes, XRP has already established a constructive recovery base after reclaiming key moving averages from the mid-September lows near $1.25–$1.30. Price is consolidating in the $1.45–$1.55 region after testing highs near $1.63–$1.66.
In a normal bull market, a sustained break above $1.70–$2.00 would open the door to the prior cycle high near $3.65. Under the extreme institutional adoption scenario outlined above, that prior high would likely be cleared with significant force, triggering a series of measured-move and Fibonacci extension targets far beyond historical levels.
Aggressive projections from the multi-year base, combined with the kind of vertical price discovery seen in previous mania phases, could theoretically extend into the $25–$40+ zone if volume and momentum expand dramatically. RSI and momentum indicators would almost certainly reach deeply overbought levels during such a move, which is typical of parabolic advances.
Key nearer-term supports remain in the $1.40–$1.45 and $1.30 zones; holding those would keep the broader recovery structure intact while the market waits for (or prices in) any extraordinary catalysts.
Overall, while the current chart supports continued upside in a standard bull market, only an extreme surge in institutional demand and narrative intensity could justify the kind of multi-thousand-percent extension implied by the $25–$50 targets.
Earn $50 and Enter $300K Prize Draw on EdgeX
Maxi Doge Targets Early Mover Upside as XRP Tests Key Levels
While the Grok AI prediction of a potential 30x run for XRP is exciting, presale plays have a stronger track record of producing such returns. It does explain why attention keeps drifting toward presale-stage plays with smaller denominators.
Maxi Doge ($MAXI) is one of those plays. It is an Ethereum-based meme token built around a 240-lb canine mascot and a “1000x leverage” trading-culture identity. The presale has raised $4.8M at a current price of $0.0002841, with dynamic APY staking live for holders.
Standout features include holder-only trading competitions with leaderboard rewards and a Maxi Fund treasury earmarked for liquidity and partnerships.
The meme-first, gym-bro marketing angle (“never skip leg day, never skip a pump”) is endearing. The accumulation numbers suggest plenty of traders are picking a side.
Get Ahead of Next Meme Coin Launch Here
Discover: The Best Token Presales
The post Grok AI Predicts XRP Could Hit $40 in 2026 With Landmark Event appeared first on Cryptonews.
When it was first proposed in December 2025, the rule was divisive, drawing ire from environmental advocates while garnering praise from auto-industry trade groups. The Administration finalized it last week with a signoff from President Donald Trump.
The President commented on the forthcoming rule Sept. 26, saying the new standards would “take the waste out of building cars in America.”
“That means LOWER PRICES, saving families thousands on a new, beautiful, and safe car,” he wrote on Truth Social.
The claim that the revisions will pass down cost savings to American buyers, however, relies on several factors, including automakers’ pricing decisions, fuel costs, and broader economic conditions.
What changes under Trump’s new fuel economy rule?
Former President Joe Biden’s regulations were put in place in 2024 to reduce car-based greenhouse gas emissions, decrease dependence on fossil fuels, and spur a transition to electric and hybrid vehicles. The Trump Administration has claimed that its revisions are more focused on bolstering the auto industry and making safer, newer cars more accessible.
EigenLayer held $19.7 billion at its peak and liquid restaking tokens grew more than 1,000% in the first six weeks of 2024. But the services buying security never paid enough to cover both the base staking yield and a premium on top, so the second yield restaking promised never materialized.
On Sept. 8, DefiLlama’s restaking category held $10.02 billion and generated $99,977 in fees over the prior week. The liquid staking category, on $51.87 billion, generated $27.35 million. Per dollar secured, ordinary staking earns roughly 53 times more.
Two developments then removed what was left of the incentive to restake. Points programs subsidizing deposits wound down through 2025, and slashing went live in April 2025. Slashing is the penalty that confiscates part of an operator’s staked ETH when it misbehaves, by going offline or signing conflicting messages, for example. So restaking suddenly carried a real, priced downside where before the risk had been theoretical. There was no extra yield to compensate.
Set ether.fi aside and the rest of the sector is small. Renzo, Kelp, Swell, Puffer Finance and Bedrock, the five largest remaining liquid restaking tokens, made $953,350 in combined gross profit in the second quarter of 2026. Three quarters earlier the same five made $2.18 million. Puffer, which raised $23 million, recorded $21,590 for the quarter. Swell recorded $22,370.
The income statements also show which part of these businesses was ever profitable, and it was not the restaking. On Kelp’s books, EIGEN token rewards appear at $460,600 in gross revenue and $460,600 in cost of revenue: they arrive and pass straight to depositors, leaving nothing with the protocol. Puffer and Swell book staking rewards the same way. Whatever profit these companies made came from the orinary staking fees charged underneath the restaking layer.
“There’s a convergence now that you’re seeing between traditional market participants and digital asset market participants as well,” Lynq CEO Jerald David said in an interview with CoinDesk TV.
For firms using Lynq, FTIXX gives them somewhere to put cash between trades rather than leaving it sitting around. They can earn yield on the money and pull it out when they need it again.
That was a product Lynq’s clients had been asking for, David said. The network works with firms including B2C2, Wintermute, Galaxy ·, FalconX, Crypto.com and Fireblocks, whose businesses can require moving large amounts of money between trades. They wanted another option for putting that cash to work in the meantime.
“We needed to demonstrate that there was client demand,” David said. “Our clients were looking for a treasury asset on the platform that may have had a different yield profile than the other instrument that’s on there right now.”
Getting FTIXX onto the network required some work. Lynq had to modify its technology, restrict access to U.S. clients and integrate with Mosaic, he said. Customers also need a relationship with tZERO Securities and must meet the required onboarding and eligibility checks.
Lynq itself runs on a private, permissioned Avalanche (AVAX) Layer 1 blockchain. Its network has more than 30 institutional digital-asset firms onboarded and more than $89 million in assets, according to the company.
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