Oracle did what each legacy tech big desires of. In September, it introduced a $300 billion cloud deal wrapped round OpenAI, the most popular identify in software program, and watched its inventory rip greater.
Two months later, the market gave its verdict. Oracle has shed greater than $300 billion in market worth, buying and selling under its pre-AI announcement ranges, whereas experiences started calling it a “ChatGPT curse.”
Analysts are actually treating the mega deal as a case examine in what occurs when AI guarantees outrun the money flows which are purported to assist them.
On the similar time, Cursor simply raised $2.3 billion at a $29.3 billion valuation. The corporate crossed $1 billion in annualized income this 12 months and greater than tripled its valuation since June.
The coding software vacuumed up enterprise capital on the promise that engineers would reside inside an AI pair programmer that may write many of the code for them.
A non-public devtool startup and a public software program incumbent are all of the sudden a part of the identical psychological spreadsheet as most L1 tokens, and traders are actually asking a barely impolite query.
When AI can hand a three-year-old startup a $29.3 billion price ticket, does cash nonetheless want crypto in any respect, or does crypto simply get pulled into the identical commerce underneath a unique ticker?
The AI cash hose
A pleasant shut take a look at the insane funding numbers explains this temper.
International AI startup funding reached round $100 billion in 2024, roughly 80% greater than in 2023 and near a 3rd of all enterprise capital that 12 months. S&P International places generative AI funding at greater than $56 billion in 2024, practically double the prior 12 months.
The Stanford AI Index tracks non-public funding in generative AI at $33.9 billion for 2024, greater than eight instances 2022. EY estimates that in simply the primary half of 2025, generative AI startups raised one other $49.2 billion.
Crypto remembers what that appears like. In 2021, the new trades have been token issuance, DeFi yield, and metaverse fairness. In 2024 and 2025, the middle of gravity moved. The massive checks went into coaching runs, information facilities, and a small circle of basis mannequin labs. Barron’s counts roughly a 3rd of worldwide VC going into AI names like xAI, Databricks, Anthropic, and OpenAI.
On the general public aspect, corporations are elevating big debt piles to chase GPU capability. Oracle is reportedly lining up round $38 billion of bonds to fund its cloud buildout. Nvidia’s information middle income has reshaped total fairness indices. If you would like publicity to “future money flows from compute,” the very best beta now lives in AI infra and basis fashions.
That doesn’t imply liquidity vanished from crypto. It means marginal {dollars} are priced towards a brand new benchmark. If a mid-size AI startup instructions a $30 billion valuation and OpenAI can discuss trillion-dollar capex plans with out being laughed out of the room, the bar for a $10 billion token with skinny real-world utilization will get greater.
AI tokens and the ASI experiment
Crypto did the logical factor: it tried to package deal AI inside tokens. The flagship effort was the Synthetic Superintelligence Alliance, a plan to merge SingularityNET, Fetch.ai, and Ocean Protocol right into a single ASI token and model the entire stack as decentralized AI. Fetch.ai’s merger weblog set out a easy gross sales pitch in 2024. One treasury, one token, three tasks that claimed to cowl brokers, information, and fashions.
This labored for some time. Billions of {dollars} price of AGIX, FET, and OCEAN liquidity have been pointed on the similar narrative. Exchanges lined up spot and perpetual pairs for ASI. Retail holders bought migration bridges and one token that mapped cleanly to “AI” on a watchlist. It appeared like crypto had discovered a technique to compress a messy sector into one thing that would reside in a single line of a derivatives blotter.
Then Ocean walked.
In October, the Ocean Protocol Basis introduced its withdrawal from the alliance, asking to depeg OCEAN from ASI and relist it as a separate asset.
Ocean framed the exit as a matter of “voluntary affiliation.” Fetch.ai has since launched authorized motion, with courtroom filings tracing conversions of greater than 660 million OCEAN to FET and alleging damaged guarantees across the merger.
This little governance drama tells you one thing in regards to the AI token commerce. It’s chasing the identical story because the non-public AI growth, simply with extra volatility and mainly no income. When ASI traded nicely, everybody needed in. When valuations cooled and neighborhood politics reemerged, the “alliance” reverted to being three cap tables with completely different agendas.
From a liquidity viewpoint, AI tokens really feel much less like a separate asset class and extra like a method for current cash in crypto to shadow what is going on in non-public AI. Cursor’s newest spherical or Anthropic’s new funding from Amazon don’t transfer ASI on a strict foundation, however they set the emotional tone. Crypto merchants watch fairness offers and worth their AI baskets accordingly.
From Bitcoin mines to AI mannequin farms
The clearest merger between AI and crypto sits in energy contracts. Bitcoin miners spent a decade constructing information facilities in cheap-energy areas, and AI hyperscalers are actually paying up for a similar megawatt base.
Bitfarms is essentially the most specific case. The corporate has introduced plans to wind down Bitcoin mining completely by 2027 and redeploy its infrastructure into AI and high-performance computing.
Its 18-megawatt facility in Washington state would be the first website transformed, with racks designed for Nvidia GB300-class servers and liquid cooling able to dealing with round 190 kilowatts per rack.
Bitfarms’ press launch describes a completely funded $128 million settlement with a big US information middle companion. Administration claims that one AI facility may out-earn the corporate’s total historic Bitcoin mining income.
Bitfarms isn’t alone. Iris Vitality rebranded as IREN and is shifting its hydro-powered websites into AI information facilities, with Bernstein analysis pointing to billions in anticipated income from Microsoft-backed GPU deployments.
Hut 8 talks overtly about being an influence first platform that may level 1,530 megawatts of deliberate capability to no matter workload pays finest, with AI and HPC on the high of the checklist.
Core Scientific went far sufficient down this route that AI cloud supplier CoreWeave agreed a $9 billion all-stock deal to purchase it, aiming to lock up greater than a gigawatt of information middle energy for Nvidia-heavy clusters, earlier than shareholders pushed again.
The sample is similar in every of those instances. Bitcoin mining gave these companies low cost energy, grid connections, and typically hard-fought permits.
Then AI got here alongside and provided the next greenback per megawatt. For shareholders which have watched a number of halvings compress mining margins, routing power into GPU stacks clearly seems like swapping a maturing carry commerce for development.
That is the place the “AI is consuming crypto liquidity” headline will get literal for Bitcoin. Each megawatt that strikes from SHA-256 to GB300 or H200 is a unit of power that not secures the community. Hash fee has continued to develop as new miners enter and older {hardware} is retired, however over time, the next share of low cost energy will probably be priced by AI’s willingness to pay.
When AI assaults the rails
There’s another junction between AI capital and crypto: safety.
In November, Anthropic printed a report on what it referred to as the primary large-scale espionage marketing campaign orchestrated by an AI agent. A China-linked group jailbroke the corporate’s Claude Code product and used it to automate reconnaissance, exploit improvement, credential harvesting, and lateral motion throughout roughly 30 sufferer organizations.
Among the assaults succeeded. Some failed as a result of the mannequin hallucinated pretend credentials and stole paperwork that have been already public. However essentially the most alarming half was that many of the assault chain was pushed by natural-language prompts reasonably than a room stuffed with operators.
Crypto exchanges and custodians sit proper in the course of that blast radius. They already depend on AI inside buying and selling surveillance, buyer assist, and fraud monitoring.
As extra operations transfer into automated brokers, the identical instruments that route orders or look ahead to cash laundering will turn out to be targets. A dense focus of keys and sizzling wallets makes them engaging to any group that may level a Claude-sized agent at a community map.
The regulatory response to that kind of occasion won’t care whether or not the affected venue trades Nvidia fairness, Bitcoin, or each. If a serious AI-driven breach hits an enormous alternate, the coverage dialog will deal with AI and crypto as a single danger floor that sits on high of important monetary infrastructure.
So is AI actually consuming crypto liquidity?
The trustworthy reply is that AI is doing one thing extra fascinating. It’s setting the value of danger for something that touches compute.
Enterprise cash which may as soon as have chased L1s is now funding basis fashions and AI infra. Public fairness traders are weighing 30% drawdowns in Oracle towards the possibility {that a} $300 billion OpenAI cloud deal actually does repay.
Non-public markets are pleased to worth a devtool like Cursor on par with a mid-cap token community. Bitcoin miners are rebranding as information middle operators and signing long-term contracts with hyperscalers. Token tasks try to bolt “AI” onto their ticker as a result of that’s the place the thrill sits.
this market from the depths of the crypto trade makes it appear like a meals chain the place AI merely devours all the pieces.
However alas, it’s at all times extra nuanced and complex than it seems. Over the previous two years, AI has turn out to be the reference commerce for future computing, and that commerce drags Bitcoin infrastructure, AI tokens, and even alternate safety into the identical story.
So, liquidity isn’t leaving outright. It’s transferring round, pricing all the pieces else towards the one sector that satisfied markets to fund trillion-dollar capex plans on a promise and a demo.
