🔮 2025 crypto predictions 🔮

Dinarian888

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Dinarian888

January 14, 2025

Here are my predictions for 2025.

Total Crypto Market Capitalization Hit $4.5 Trillion
Circle Gets Acquired or Forced to IPO/Go Public
Stablecoin Supply Hit $300B
ICO Platforms Raised More $ Than IDO Platforms
AI Agents Market Cap Hit $50B
Solana ETF Approved
TON and Bitcoin Season 2 (TVL 2x by End of 2025)

1. Total Crypto Market Capitalization Hit $4.5 Trillion

As of the time of writing, we’re sitting at ~$3.5T. The basis of this prediction is simple. I’m betting that there’ll be one last leg in the bull market which will happen in 2025 or early 2026.

One of the reasons is that in 2026 Trump will be a lame-duck president and the pro-crypto/Republican effect that will impact the US financial market’s sentiment towards Bitcoin will be reverting to the mean by then. Meanwhile, 2025 is poised to become the year when more US-based institutional players will FOMO into crypto, given that many of them needed more preparation on the regulatory front and couldn’t just jump the gun in the last month of 2024 post-Trump’s victory. On top of that, we have the most successful ETFs ever and MicroStrategy’s contribution to the TradFi (3,3).

$150,000 per BTC will increase the total market cap by $1 Trillion. Not counting all the other altcoins’ contributions to the total industry market cap. $150,000 USD is roughly 1M RMB so maybe there’s some reflexivity there just like $100,000 BTC.

2. Circle Gets Acquired or Forced to IPO/Go Public

Circle is the issuer of the second largest stablecoin in the world, USDC. Despite being the runner-up, it doesn’t enjoy the same business moat as Tether. This is because the primary role of a stablecoin, at least in its current iteration, is as a digital-native eurodollar and shadow bank. Circle, given its tie to Coinbase and its preference for becoming the most compliant, US-first, regulatory-abiding entity, also relinquishes the large majority of its moat as a business.

The company tried going public via SPAC once, and then there was a rumor around its IPO, but I think the year 2025 will finally be it.

There are signs.

First, its move to New York is nothing but a branding exercise. I don’t think further explanation is necessary.
Second, its partner, Coinbase, is currently worth $66B. Less than 10% of Coinbase's market cap is enough to acquire Circle. The reason why they haven’t done this is to try and get an even better price from the Circle’s team. Cha-Chink!

3. Stablecoin Supply Hit $300B

Stablecoin is crypto’s top PMF. While some might say that it’s no longer nascent, remember that there were people who said that about crypto in 2017. TLDR — stablecoin’s market share as a percentage of the worldwide financial market is still tiny.

Last year I predicted that this number would hit $250B. It didn’t hit my target but the direction is correct. Stablecoin supply went from $136B in January 2024 to ~$200B by the end of the year. In 2025, I predict this trend will continue to rise exponentially and hit $300B. It’s the lowest-hanging fruit that US-based projects will try to expand into, given the incoming administration’s regulatory friendliness, with a stablecoin bill already in the works.

4. ICO Platforms Raised More $ Than IDO Platforms

We’re starting to see the comeback of fundraising platforms such as Echo and Legion. This does not consider the great work that experienced players such as CoinList have been doing. Still sticking to the same theme of a friendlier regulatory environment, I predict that these ICO platforms will raise more capital than IDOs in 2025.

Data from Cryptorank shows:

IDO platforms raised $650M+ in 2024, mostly dominated by Jupiter and Fjord.
ICO platforms raised $130M+ in 2024, mostly dominated by CoinList.

Echo’s data as of September 2024.

5. AI Agents Market Cap Hit $50B

At this point, you might be tired of hearing another VC pontificating about AI agents. But hey, you’re already here, so…

Ever since GOAT unlocked the imagination of developers, the number of new crypto x AI agents that are conducting interesting onchain experimentation have skyrocketed. Having said that, I do think that this trend will continue into 2025 as it’s the only other “macro factor” other than the institutionalization of Bitcoin.

AI is the only “macro tech” story — and unsurprisingly it’s impacting crypto, specifically on the agentic side because onchain transaction enables developers to experiment with crazy ideas much faster. Without permissionless blockchains, it would take ages for developers to file the necessary paperwork and legality around what they’re trying to achieve.

The total market cap of all AI agents is ~$12B.
The total memecoin market cap is $110B.
The total memecoin market cap excluding DOGE, SHIB, and PEPE is $40B.

I’m predicting AI agents' market cap will do 4x by the end of 2025, surpassing the total market cap of memes excluding the big three.

6. Solana ETF Approved

Solana is also the biggest winner of this cycle. SOL price went from $20 to $200 within six months, and there’s a huge slew of memecoin trading infrastructure, printing 9-figure in annual net profit, built on top of Solana. Think PumpFun, Photon, GMGN, and many more.

“But sir those are all just speculation!” — if this is your gut reaction after reading the last sentence please do some more reflection.

Anyway, on the “real product” side, Solana is also pushing ahead with its PayFi narrative. They’re aware that DeFi is a perpetually onchain game with some offchain components, and that crypto won’t truly become mainstream without more “payment” focus use cases. You can see their initiatives by integrating with a lot of stablecoin providers (PYUSD incentives) and supporting projects that would support further stablecoin growth.

This strategy also aligns with Solana being a relatively US-centric project. Stablecoin is the lowest hanging fruit in Trump’s administration for anything crypto, and one of Solana’s biggest backers, Multicoin Capital, has a very strong friend in the white house. David Sacks, the White House’s AI and Crypto Czar, is one of Multicoin’s first investors (LP).

Thus, Solana has too much political goodwill in the White House, and it would be foolish to not capitalize on this momentum. The most EV+ positive action they can take is by pushing for Solana ETF. With Gensler out of the picture and the increasingly available compliant tools on the Solana blockchain, it shouldn’t be an impossible task. Hint: it will also help a lot with future unlocks ;)

7. TON and Bitcoin Season 2 (TVL 2x by End of 2025)

We had a decent stint of Bitcoin and Telegram/TON ecosystem mania in 2024, but those are quite short-lived. Since Q4, all attention has shifted to AI agents and meme trading instead. However, I do believe that it’s not over for these two ecosystems and what we witnessed last year was simply season 1, the appetizer that will prepare us for the main course in 2025.

At the time of writing, TON and Bitcoin ecosystem hold $270M and $6.5B in TVL respectively. I’m predicting this number will 2x by the end of 2025. Here are a few catalysts:

There’ll be an increasing effort in activating the capital currently owned by the OG Bitcoin whales. We’re already seeing an increasing number of protocols, both DeFi and new infrastructure, that are tapping into these cohorts. Ultimately, people want yield, even if their background might be a bit of a hard-money maxi. One of the better ways to convince these maxis is by showing that you don’t need to trust, just verify. The cryptographic technology in our space is already getting there with more tools such as TEE, FHE, and zkTLS potentially enabling new design architecture that will excite Bitcoin OG into participating.
Mandatory portco shill: TON is just starting and they’re cooking a lot of stuff. One of them is TAC, a new infrastructure that will make it seamless for users to interact between TON and EVMs. With more of these initiatives coming in 2025, I predict another mania created around TON/Telegram and will propel their TVL even higher.

Honorable mentions:

Restaking-Fi Makes a Comeback. I’m still betting that there will be some ponzinomics created on top of restaking-fi or LRT-fi as restaking protocols are forced to look for ways to enhance their yield.
A Berachain App Creates a New DeFi Ponzinomics. Proof-of-Liquidity will bring experimentation back to DeFi. The key is how to expand this excitement to more than just the DeFi nerds (please don’t be another Curve war).
OP & ARB Lose TVL to New L2s and L1s. New chains such as Movement, Bera, Monad, and others will have more TVL than Optimism and Arbitrum by the end of 2025.
No Significant Stabelcoin Acquisition. After Bridge acquisition by Stripe, the mid curve take is to think that such an acquisition will be a “standard” moving forward. Reminder: Bridge is a unique case (exceptional founder, hard to get licenses, and somewhat of an acquihire) — most stablecoin founders are best serving the eurodollar offshore market.
Move Is The Next Rust. Movement, Sui, and Aptos will lead the way for a new generation of onchain applications. The language and ecosystem will foster its own developer culture, similar to Solana and Rust in the early days.

2025 will be an even more exciting year for crypto.

Now that regulatory concerns are somewhat out of the way, we have a lot of work to do. We're truly in the roaring 2020s (have you seen CES?!), and it would be a shame if crypto is not further integrated with other technologies of this decade.

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Revolut Leak Shows the Cost of Constant ID Collection

Revolut’s mistake is the news, but the bigger problem is the growing number of companies being encouraged or required to keep copies of our most sensitive identity documents.

Online bank Revolut has revealed that it gave out sensitive personal and financial information of an undisclosed number of its customers in response to a fake government request.

The information that was handed over to an “unauthorized third party” reportedly includes names, dates of birth, occupations, addresses, phone numbers, account numbers, transaction histories (including Bitcoin), and even copies of government-issued IDs and onboarding verification selfies.

Revolut claims that derived biometric face data was not.

The company said that the data was handed over in response to an email that came from a real government agency’s domain, but was not actually sent or authorized by that agency.

The email passed several authentication checks (SPF, DKIM, and DMARC) that are designed to establish the authenticity of a message’s origin and integrity, but do not verify the legitimacy of the legal request itself.

Revolut said that it complied with the request “under the reasonable belief that it was an authentic government agency request” – and only later found out that it was not.

Revolut said it later realized its mistake, blocked the email address, and reported the incident to the relevant authorities.

Revolut said that only a “limited” number of its customers were affected by the data leak, and that the company’s systems were not hacked, nor was any money stolen.

The story broke on September 11 when Revolut customers started receiving an email notice about a data leak, and the news was picked up by media outlets the following day.

Revolut notice explaining customer identity and financial data was shared after an unauthorized government email request.

The reason this is a recurring problem is that companies are keeping highly sensitive information about their customers’ identities, and sometimes even financial transactions, for a long time, and this data is then available to be disclosed to third parties – either in response to valid legal requests, or, as in the case of Revolut, fake ones.

One reason for this is know your customer (KYC) and anti-money laundering (AML) rules. Revolut’s current UK customer privacy notice spells it out: the company generally keeps personal data of UK customers for no more than seven years after the relationship ends, and sometimes longer – for legal reasons.

This means that even if you close your account, your identity documents don’t disappear.

And while the incident with Revolut happened in the financial sector, it’s by no means the only one that requires customers to hand over sensitive identity information. Discord, a popular chat service, said in an October 9, 2025 security update that government ID photos of approximately 70,000 users may have been exposed after a third-party customer service provider got hacked.

This was not a financial service, nor the same type of attack. But the result was similar – because the underlying business process was the same: requiring and storing sensitive identity documents. In the case of Discord, these were used to review age-related appeals.

It’s hard to do anything about a copy of your old passport, or a photo of your face, or a record of your past transactions. These can be used to identify and profile you, and can be used to carry out targeted fraud. And this can happen even if the initial disclosure didn’t result in financial loss.

The more companies are forced to collect and store such information, and the more of it they have, the more opportunities there are for this data to be leaked, either by the company itself or a third party it works with. That's what makes governments' push for more ID checks just to access ordinary parts of life so reckless.

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Dinarian888@dinarian888

August 28, 2026

This Is The Income A Family Needs To Live Comfortably In Every US State

Here’s the short version of what it takes for a family of four to live comfortably in 2026 by state:

In Massachusetts, you’d need nearly $330,000 a year - the highest figure in the entire country. Only three states clear the $300,000 mark: Massachusetts, Hawaii, and California. At the other end of the spectrum, Mississippi is the most affordable at about $188,000. That’s a full $142,000 less than what you’d need in Massachusetts.

So… how much does a family of four need in your state?

This map shows the pre-tax income a household with two working adults and two kids needs to live comfortably in every U.S. state.

The numbers come from SmartAsset (as of February 2026). They’re based on the familiar 50/30/20 budget: 50% for necessities, 30% for discretionary spending, and 20% for savings or other goals. These aren’t bare-minimum survival numbers—they’re what it takes to live pretty well while still putting money aside.

And as Visual Capitalist notes, Massachusetts sits at the very top of that list. Massachusetts tops the ranking, with a family of four needing $329,555 per year to meet the 50/30/20 benchmark.

Hawaii follows at $313,165, while California ranks third at $302,682.

Rank State Income needed for family of four (2026)

1 - Massachusetts - $329,555
2 - Hawaii - $313,165
3 - California - $302,682
4 - Connecticut - $298,189
5 - New Jersey - $295,110
6 - New York - $291,533
7 - Colorado - $283,213
8 - Washington - $281,798
9 - Oregon - $280,966
10 - Vermont - $280,384
11 - Alaska - $272,064
12 - New Hampshire - $267,904
13 - Rhode Island - $264,659
14 - Minnesota - $263,078
15 - Maryland - $257,837
16 - Maine - $250,931
17 - Montana - $249,434
18 - Pennsylvania - $247,936
19 - Illinois - $244,109
20 - Virginia - $242,944
21 - Nevada - $242,278
22 - Indiana - $241,696
23 - Wisconsin - $238,451
24 - Arizona - $236,870
25 - Utah - $235,789
26 - Delaware - $228,134
27 - Ohio - $226,221
28 - Idaho - $226,054
29 - Florida - $223,392
30 - New Mexico - $223,142
31 - Nebraska - $223,059
32 - Missouri - $217,734
33 - Georgia - $214,573
34 - Michigan - $214,323
35 - South Carolina - $212,909
36 - North Carolina - $212,410
37 - Wyoming - $212,410
38 - Oklahoma - $211,910
39 - North Dakota - $210,496
40 - Kansas - $207,917
41 - Iowa - $204,422
42 - Texas - $203,424
43 - West Virginia - $202,592
44 - South Dakota - $201,760
45 - Alabama - $198,931
46 - Louisiana - $197,933
47 - Tennessee - $197,267
48 - Arkansas - $195,437
49 - Kentucky - $194,854
50 - Mississippi - $187,533

Connecticut, New Jersey, and New York aren't far behind, bringing the number of states with comfortable-income thresholds above $290,000 to six.

Colorado and Vermont Make the Top 10

As expected, many of the highest income thresholds are concentrated in the Northeast and along the West Coast.

However, Colorado has the seventh-highest threshold in the country at $283,213, ranking above Washington and Oregon.

Vermont rounds out the top 10 at $280,384, despite having the second-smallest population of any U.S. state. Meanwhile, nearby states like New Hampshire, Maine, and Rhode Island all fall outside the top 10.

Just Six States Come in Below $200,000

Despite the wide range in living costs across the country, only six states have a comfortable-income threshold below $200,000 for a family of four.

Mississippi ranks lowest at $187,533, followed by Kentucky. The states of Arkansas, Tennessee, Louisiana, and Alabama also fall below the $200,000 mark.

The gap between Massachusetts and Mississippi exceeds $142,000 per year, meaning the Massachusetts benchmark is about 76% higher.

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Dinarian888@dinarian888

August 16, 2026

🤖Can Decentralized AI Stop Big Tech from Owning the Future of Robotics?🤖

The race to build the future of robotics is no longer just about robots. It's about who controls the intelligence behind them.

Over the last three years, a small group of companies has emerged as the backbone of the AI revolution. Microsoft provides cloud infrastructure. NVIDIA supplies the chips. Google, OpenAI, Anthropic, Meta, and others develop the models. Together, they control much of the compute, data, and software stack powering modern AI.

Now that AI is moving into the physical world, many are asking a bigger question:

Will these same companies end up controlling robotics too?

It's a valid concern.

The latest generation of robots relies on enormous amounts of compute, simulation, training data, and foundation models. Many robotics startups today are built on infrastructure provided by large technology companies. NVIDIA's Omniverse is becoming a key simulation environment for robot training. Microsoft Azure is powering the training of robotics foundation models. Physical AI startups increasingly depend on hyperscale cloud infrastructure to train and deploy intelligent systems. Recent partnerships across the industry show just how central Big Tech has become to robotics development.

But while Big Tech is building the highways, another movement is trying to ensure it doesn't own every destination.

That movement is decentralized AI.

Why Decentralized AI Exists

The idea behind decentralized AI is simple. Instead of a handful of companies owning the models, compute infrastructure, data pipelines, and intelligence networks, these resources are distributed across thousands of participants.

This means anyone can contribute compute, contribute models, validate outputs and can participate.

The most visible example today is the decentralized AI network known as Bittensor (@bittensor). The network has evolved into a large ecosystem of specialized AI markets called subnets, where participants compete to provide useful machine intelligence and are rewarded based on performance. Rather than relying on a single company, intelligence is generated and validated by a distributed network of miners and validators.

Think of it as an attempt to build an open marketplace for AI instead of a world where intelligence is rented from a few centralized providers.

Why This Matters for Robotics

Robotics has a unique problem. Unlike chatbots, robots operate in the physical world. They need to perceive environments, make decisions, move safely and they need to learn continuously.

The challenge is that collecting and training on real-world robotic data is incredibly expensive. That's one reason large companies have such an advantage. They can afford the compute, simulation environments, and data infrastructure needed to train robotics models at scale.

This is where decentralized systems become interesting.

Instead of one company collecting all the data and training all the models, decentralized networks could allow thousands of contributors to participate in building robotic intelligence.

Imagine a future where:

Warehouse robots contribute operational data.
Delivery robots contribute navigation data.
Factory robots contribute manipulation data.
Developers contribute models.
Validators evaluate performance.

The resulting intelligence becomes a shared network rather than a proprietary asset.

That vision is beginning to emerge.

Bittensor's Move Toward Physical AI

While many people associate Bittensor (@bittensor) with language models and AI services, parts of the ecosystem are increasingly exploring embodied intelligence and robotics.

One example is Kinitro, a subnet focused on incentivizing the training and evaluation of embodied AI systems. The goal is to create competitive environments where developers build robotic intelligence and are rewarded based on performance.

The broader Bittensor ecosystem has also expanded into compute marketplaces, distributed inference systems, bandwidth infrastructure, and AI coordination layers that could eventually support robotics workloads. Several subnets now focus on decentralized compute, confidential inference, data transfer, and model training, critical components for future robotic systems.

In other words, the pieces are starting to appear.

Not a decentralized robot network yet.

But the infrastructure that could support one.

Beyond Bittensor: The Rise of Physical AI Networks

Bittensor isn't alone.

Across the industry, researchers and builders are experimenting with decentralized approaches to physical AI.

New research published in 2026 introduced the concept of DAO-enabled decentralized physical AI, or DePAI. The idea combines robotics, decentralized infrastructure, AI models, governance systems, and human oversight into a single framework. Instead of centralized control, robots and physical infrastructure could be coordinated through transparent rules and distributed ownership models.

At the same time, developers are exploring decentralized operating systems for robots that allow machines to communicate directly with each other and with distributed compute resources. These architectures are designed to make robotic systems more resilient and less dependent on a single cloud provider.

The goal is not simply decentralization for its own sake.

The goal is resilience.

If one server fails, the system continues.

If one company disappears, the network survives.

If one participant leaves, innovation continues.

But Here's the Reality

Decentralized AI faces the same challenge every decentralized technology faces.

Big Tech has resources. A lot of resources.

Training advanced robotics models requires enormous compute budgets, sophisticated simulation environments, access to specialized hardware, and vast amounts of real-world data.

That's why many robotics startups still partner with major cloud providers and AI companies. It's often the fastest path to deployment.

And there are legitimate concerns about whether decentralized networks can maintain quality, reliability, and security at the scale required for industrial robotics. Even researchers studying decentralized AI systems have highlighted risks around concentration, incentives, governance, and network security.

The challenge isn't just decentralizing intelligence.

It's decentralizing intelligence while maintaining performance.

That's much harder.

The Most Likely Outcome

The future probably won't be fully centralized. And it probably won't be fully decentralized either. Instead, we're likely heading toward a hybrid model.

Large technology companies will continue providing chips, cloud infrastructure, simulation platforms, and foundational research.

At the same time, decentralized AI networks will emerge as alternative coordination layers where intelligence, data, and economic value can be shared more openly.

The companies building robots may use NVIDIA hardware.

Train on Azure.

Run foundation models from OpenAI.

But they may also participate in decentralized data networks, decentralized compute markets, and decentralized intelligence protocols.

The future of robotics could end up looking less like a monopoly and more like an ecosystem.

The Bigger Question

The real question isn't whether decentralized AI can eliminate Big Tech.

It can't.

At least not anytime soon.

The real question is whether decentralized AI can prevent a future where a handful of companies control every robot, every model, every dataset, and every decision made by the machines operating around us.

As robots become workers, assistants, delivery drivers, factory operators, and even economic agents, that question becomes increasingly important.

Because the battle for the future of robotics is no longer about hardware.

It's about who owns the intelligence.

And that battle is just getting started.

Source

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