Latest / The Cryptocurrency Economy with Fexingo: Bitcoin, Ethereum, and Digital Money Markets / Why Chinese AI Hardware Is Pulling Money from Crypto
Transcript
- Lucas: So it's June third, 2026, and Bitcoin just dropped another 8.7 percent in five days — now sitting at $67,336. And it's not just Bitcoin. Ethereum, Solana, BNB, XRP, Cardano — all down between 7 and 10 percent in the same window. Luna: Right, it's a synchronized crypto sell-off. And what's interesting is the context — because there's a headline this morning that might explain where some of that money is going. Lucas: Goldman Sachs cut Hong Kong stocks and recommended mainland Chinese AI hardware plays instead. That's a specific capital rotation signal. And I think it's part of a bigger story: the AI infrastructure build-out is competing directly with crypto for institutional liquidity. Luna: If walking through the economy with us has made something click for you today, you know these episodes stay ad-free because of listener support. If today was useful, buy me a coffee dot com slash fexingo. Lucas: Yeah, that direct support is what keeps us independent. And it lets us dig into angles like this — the real mechanics of where capital moves. Luna: Exactly. So back to that Goldman note — they're saying sell Hong Kong, buy mainland AI hardware. That's a pretty loud signal about where they see growth. Lucas: And it's not just Goldman. Earlier this week, Goldman's own CEO David Solomon said markets are in 'greed' mode as AI companies seek billions. Meanwhile, Greg Abel at Berkshire Hathaway has spent nearly $17 billion in a deal spree that's expanding into tech. The message is clear: big money is chasing AI productivity, not crypto speculation. Luna: So the thesis is that crypto is losing the competition for marginal institutional dollars. But let's be specific — what's the mechanism? Is it really a rotation, or just a coincidental drawdown? Lucas: I think it's structural. Look at the Fed environment — the effective federal funds rate is 3.63 percent, basically flat. Interest on reserve balances is 3.65 percent. So there's no rate shock driving this. The sell-off is about where the next marginal return is expected to come from. And right now, AI hardware — especially in China, with companies like Huawei building Ascend chips, SMIC producing advanced nodes — offers a tangible, government-backed growth story. Luna: And crypto doesn't have that narrative right now. Bitcoin has been range-bound for months, the memecoin frenzy on Solana is cooling, and the tokenization of real-world assets is still mostly institutional plumbing — not retail-accessible yield. Lucas: Exactly. So capital that might have gone into crypto ETFs or direct coin holdings is instead flowing into AI semiconductor stocks, or into Berkshire's new tech acquisitions. Greg Abel's $17 billion — that's not going to Bitcoin. It's going to businesses with cash flows. Luna: And the Goldman note is specifically about geography — moving from Hong Kong to mainland China. That suggests they see the AI hardware story as more credible under China's industrial policy than in the more internationally exposed Hong Kong market. Lucas: Right. Hong Kong had been a proxy for Chinese tech, but with regulatory overhang and geopolitical risk, Goldman is saying the real action is on the mainland. And that's where the AI chip production is. So institutional money follows. Luna: But crypto was supposed to be a hedge against that kind of centralized policy risk. If capital is fleeing to government-backed AI hardware, doesn't that undermine the whole 'digital gold' narrative? Lucas: It does. And we've seen this before — in 2024 when the AI boom first started sucking up capital. But this time it feels more permanent because the AI build-out is capex-heavy and multi-year. Crypto doesn't have a comparable 'real economy' use case that absorbs billions in investment. Mining? That's grid balancing now, not growth. Luna: So what does that mean for crypto's price trajectory? If the rotation continues, we could see Bitcoin test lower levels — maybe the $60,000 area that was support earlier this year. Lucas: Possibly. But I'd also watch for a divergence. Not all crypto is created equal. If tokenized AI compute protocols — like those that let you rent GPU time — start showing real revenue, they might attract a different kind of capital. But so far, the market isn't pricing that in. Luna: Yeah, the tokenized AI narrative hasn't gained traction. Most of those tokens are down more than Bitcoin. So the market is treating crypto as a monolithic risk asset right now. Lucas: And that's the key insight for this episode: crypto is losing the liquidity battle to AI infrastructure because AI offers a clearer path to productivity. The Fed is neutral, the economy is growing, and institutions are choosing to fund factories and chips over digital assets. Luna: So the question becomes: what would make that reverse? A regulatory clarity breakthrough in the US? A major tokenized real-world asset launch? Or does crypto just need to wait for the AI capex cycle to peak? Lucas: I think the latter is most likely. AI capex will eventually slow, and capital will look for the next marginal return. Crypto needs to have a compelling use case ready by then — something beyond speculation. Otherwise, it becomes a smaller part of portfolios. Luna: And with the new Fed chair Warsh making hires, including a Project 2025 author, the regulatory environment could shift too. But that's a longer-term story. Lucas: Right. For now, the data is clear: capital is rotating. And the on-chain metrics confirm it — stablecoin supply is flat, exchange inflows are up, but not dramatically. It's not a panic; it's a reallocation. Luna: So for listeners watching their portfolios, the takeaway is to understand where the marginal dollar is going. It's not out of crypto entirely — it's into AI hardware. And that's a shift that could persist. Lucas: Exactly. One concrete thing to watch: the next few weeks of ETF flows. If we see consistent outflows from crypto ETFs and inflows into ai themed ETFs, that confirms the rotation. We'll track that and report back. Luna: Sounds like a plan. And as always, we'll keep an eye on those macro signals — Fed policy, China tech policy, and the on-chain data that tells us what's really happening. Lucas: Until next time, keep thinking about where the real productivity is. That's where the money follows.