AI Crypto Coins After Trump's Superintelligence Order: 7 Checked

Trump’s superintelligence order, signed on September 29, does not name or affect any cryptocurrency. According to the Bullrunners video, it only tells federal agencies to say “superintelligence” instead of “artificial intelligence.” Within three days, seven AI tokens were circulating online as the coins to own, and their prices barely moved.

That gap between headline and substance matters for anyone holding or eyeing AI tokens. The video, hosted by Paul, goes through all seven: what each project does, what it earns compared with its market value, and the risks that don’t show up on a price chart.

What does the superintelligence order actually do?

The superintelligence order changes vocabulary, not policy. According to the video, it tells federal agencies to use “superintelligence” and “SI” in place of “artificial intelligence” and “AI” in official communications. Section 3 says the new words cover exactly the technologies already defined as artificial intelligence under existing law.

The video stresses what the order does not do. It doesn’t change any contract or grant, and it doesn’t name a token, blockchain, coin or company. Its only concrete output is a deadline: around November 28, the science advisor has to send the president proposed wording for a federal definition.

The heads of Google, Anthropic, Meta and Nvidia were present, along with OpenAI president Greg Brockman and Elon Musk for xAI. The closest thing to money, per the video, was an interview the day before. In it Trump ruled out nationalizing the big AI labs and discussed the government possibly taking a stake in OpenAI and Anthropic. Those are private companies without tokens.

How the video measures each coin

The video uses one simple test: how many dollars buyers pay for every $1 of yearly revenue the network brings in. Take the market cap (the total value of all coins in circulation) and divide it by annualized fees.

The host compares it to buying a farm. If a farm earns $10,000 a year and the seller wants $2.5 million, it would take 250 years to earn back the price. A high ratio isn’t automatically wrong in crypto. But it shows how much of the price rests on future hopes rather than current business.

Coin	Approx. price	Market cap	30-day fees	Paid per $1 of yearly revenue
NEAR	$4.50	~$6 billion	~$1.98 million	~$250
Bittensor (TAO)	$269	$3 billion	Not published	Can’t calculate
Internet Computer (ICP)	$2.90	$1.6 billion	$191,000	~$700
Render	$1.84	$952 million	Not published	Can’t calculate
Injective (INJ)	$6.80	$680 million	$217,000	~$260
Virtuals Protocol	$0.71	$467 million	$695,000	~$56
FET	$0.22	$503 million	Not published	Can’t calculate

All figures are as reported in the video at the time of recording.

NEAR, Bittensor and ICP: the biggest names

NEAR has the strongest usage of the seven, according to the video. Co-founder Illia Polosukhin was one of the eight authors of the 2017 paper that introduced the transformer architecture behind modern AI, and he still runs the project day to day. NEAR Intents, a system for swapping coins between blockchains, handled $213.7 million in one recent 24-hour stretch and $32.8 billion since launch. Most of that money passes through, though, and NEAR keeps about $1.98 million a month in fees. That works out to roughly $24 million a year against a market cap near $5.9 billion. The video notes NEAR rose about 150% in 30 days, but that the climb came before the order. Bullrunners has looked at NEAR’s numbers before in whether Bitwise’s $155 NEAR target adds up.

Bittensor (TAO) is the most purely AI-focused coin on the list. It runs 128 smaller networks called subnets, where participants compete to do AI work and get paid in TAO. The cost the video highlights is new supply. Bittensor creates 3,600 new TAO a day, close to $1 million worth at $269. If earners sell, buyers must absorb that just to hold the price steady, and that’s after a halving in December cut daily issuance in half. About 11.3 million of a maximum 21 million TAO exist. At today’s price, all 21 million would be worth about $5.7 billion, versus the current $3 billion market cap. TAO also sits about 64% below its $758 all-time high from March 2024, the last big wave of AI excitement. For background, see how Bittensor’s AI marketplace works.

Internet Computer (ICP) publishes its earnings, and the video calls the result the weakest of the group. Fees across the whole network came to $191,000 over 30 days, about $2.3 million a year against a $1.6 billion valuation. One working product is ckBTC, which holds real Bitcoin inside ICP one-for-one, but it has nothing to do with AI. ICP’s AI tool, Caffeine, builds apps from plain-English descriptions. Dfinity, the group behind ICP, says hundreds of thousands of people use it monthly, but it hasn’t turned into much revenue yet. The video also notes competition from frontier labs like OpenAI and Anthropic. Bullrunners covered the project’s history in what happened to the Internet Computer.

Render, Injective and Virtuals: three different bets

Render rents out spare GPUs, the chips AI companies use to build and run their models. That puts it at the center of the AI story, since every company in the White House room is competing for those chips. But Render doesn’t publish how much money the network makes, not even old or quarterly figures, according to the video. It says 5,600 computers have joined since launch, but that counts every machine that ever joined, not how many are working today. The video’s view: one of the best AI stories on the list, with the least information to check it.

Injective (INJ) is a blockchain built for trading, including price bets, order matching and tokenized stocks. The video says its link to AI is the weakest of the seven, even though it has branded itself as an AI project. What Injective does have is a buyback, which has removed 178,000 INJ from the market permanently over four rounds. It also publishes earnings: $217,000 in fees over 30 days, or about $2.6 million a year. The video calls it the most straightforward business on the list and the least connected to AI.

Virtuals Protocol is a platform for launching AI agents, which are programs that can hold their own coins and earn money. It runs on Base, Solana and Robinhood Chain. Over 30 days it brought in $695,000 in fees, more than ICP and Injective combined, despite a smaller market cap. That’s the lowest price-to-revenue ratio of the seven. The risk the video flags is supply. About 685 million tokens exist out of a maximum of 1 billion, so roughly a third has yet to reach the market. That could weigh on the price if buyers don’t absorb it.

What happened to FET and the Artificial Superintelligence Alliance?

FET is listed on exchanges as the Artificial Superintelligence Alliance, a name it has carried since long before the order. The alliance was announced in March 2024, when Fetch.ai, SingularityNET and Ocean Protocol agreed to merge, and the token merger began that July. On October 9 of last year, Ocean Protocol pulled its people off the alliance’s board and quit. The planned rename to ASI never happened, so the coin is still called FET.

The bigger issue is a September 19 incident. According to the video, 8.7 million FET left the contract Fetch.ai uses to swap old coins for new ones, in a single transaction. They were sold for about 523 ETH, which the alliance said was worth $1.6 million. New coins were also created for four other tokens during the same stretch. The next day Fetch.ai shut off all swaps, said it had stopped the hack and promised a full report. At the time of the video, nearly three weeks later, no report had appeared.

The cause is still disputed. Some security researchers and Fetch.ai said the attacker obtained a signing key, the digital key that approves coins leaving the contract. A separate investigation reached a different conclusion. Nobody disputes how many coins were taken or when. The video’s summary: FET doesn’t publish network earnings, and its name only sounds like a headline it was never part of.

How did AI coins move after the order?

AI coins barely moved in the three days after the order. The video compared closing prices on September 29 with October 2, all from the same source:

1. NEAR: $4.89 to $4.69, down 4.1%
2. Render: $1.91 to $1.97, up 3.1%
3. Injective: down 2.1%
4. Virtuals: down 1.5%
5. FET: down 1.6%

The video said TAO and ICP closed in similar ranges but didn’t give exact figures. The biggest move either way was about 4%, which the host called “a very slow afternoon” for crypto.

A simple framework before buying an AI token

The video ends with a rule the host says applies to any narrative trade, plus the checks used throughout:

1. Find the revenue. Look for what the network earns in fees over a recent month. If the project doesn’t publish it, note that you can’t check the price against the business.
2. Do the ratio. Divide market cap by yearly fees to see what you’re paying per $1 of revenue.
3. Check new supply. Look at daily issuance and how much of the maximum supply has yet to reach the market.
4. Check the AI link. Ask whether the project actually does AI work or just carries the label.
5. Size it on purpose. Decide in advance how much you’re putting in, and hold other assets alongside AI tokens.
6. Plan the exit first. Decide when you’ll get out before you need to. Bullrunners’ five-step exit plan walks through how to write one.

The host also notes that news is often already priced in by the time most people read the headline. Buying on news without checking revenue, valuation and transparency is, in his words, when people get hurt.

What to watch next

The one concrete date in the order is around November 28, when the science advisor is due to propose a federal definition. Even then, the order as described in the video doesn’t direct money toward any token. For FET holders, the key item is the full incident report the alliance promised. For TAO and Virtuals, keep an eye on token issuance and unlocks. For every coin on the list, check whether published fees grow over time, because that’s the number the video argues matters more than a renamed headline.