New paper: Firms automate rationally. They destroy the customers they depend on.
Better AI = bigger problem. No market force fixes it.
Earlier discussed ETF Portfolio was built for this: water, healthcare, infrastructure, staples.
Not anti-AI. Anti-fragile.
🤯BREAKING: Researchers just mathematically proved that AI layoffs will collapse the economy: and every CEO already knows it.
The AI Layoff Trap. A game theory paper from UPenn + Boston University is glaringly important!
100K+ tech layoffs in 2025. 80% of US workers exposed. And no market force can stop it.
→ Every company fires workers to cut costs
→ Every fired worker stops buying products
→ Revenue collapses across every sector
→ The companies that fired everyone go bankrupt
It's a Prisoner's Dilemma with math behind it. Automate and you survive short-term. Don't automate and your competitor kills you. But everyone automating destroys the demand that makes all companies viable.
UBI (universal basic income) won't fix it.
Profit taxes won't fix it.
The researchers found only one solution: a Pigouvian automation tax "robot tax"
The AI trap on the economy is here!
84 million people saw 'Something Big Is Happening.' Most nodded and kept scrolling. If you actually want to do something about it: here's the financial playbook.
I told you so.. but not with joy
In April 2025 I wrote: "The ease of creating new software also means existing tech products can be copied easily. They will be dismantled like a device and rebuilt by new builders who can do it leaner and cheaper and make it work better for niche segments."
YTD 2026, SaaS companies have been in freefall on the markets. Not a correction, but a structural repricing. The market is finally digesting what was obvious to anyone paying attention: if a product only exists as logic on a screen and AI can rebuild that logic from scratch in days.. what exactly are you paying for?
But here's what most people outside our little X bubble aren't asking: what's next after SaaS?
Because this doesn't stop there.
The disruption people aren't seeing yet
Everyone's focused on software eating software. That's already happening. The next wave is quieter, and hits things people consider real.
Think about office real estate. Not prime, triple-A city centre locations, those adapt. I mean the B and C-grade office parks, the corporate campuses on the edge of town, the floors companies rented because headcount was growing. Remote work cracked the foundation, and now AI is pouring water into those cracks.
If knowledge work becomes something one person does with AI tooling; the work of what used to be 5-10 people, you don't need the space anymore. The companies that survive will be leaner by necessity. The buildings they leave behind won't easily find new tenants, and converting them to housing is slow, expensive, and heavily dependent on local regulation and demand.
Real estate moguls sitting on non-prime office assets are, in my view, in a similar position to SaaS founders in 2023. The fundamentals changed. The valuation hasn't caught up yet.
This is one example. There are dozens of sectors where the same logic applies. Legal support and accountancy, some or most financial advisory. Certain medical diagnostics. Consulting layers that exist purely to synthesise information.. which is exactly what AI does for free.
Nevertheless one new release: a Claude instance trained specifically on legal workflows, a model fine-tuned for a specific industry, and an entire sector faces a repricing moment. We've already seen this. It'll keep happening.
So how do you actually protect yourself over the next 5 years?
First: accept that the index funds you've been told to "just hold" may not be what you think they are.
A global Vanguard World ETF has always stood for being diversified and safe, but it’s important to look under the hood. You're heavily exposed to the mega-cap tech names, which is fine for AI, but also to a long tail of traditional SaaS, digital middlemen, legacy enterprise software, and overvalued "digital transformation" companies that are structurally vulnerable to exactly what's happening. You're also implicitly betting on the same economic model that's being disrupted. Software will become cheaper to make, but software will not become worthless.
So that doesn't mean sell everything because a tracker like that will always rebalance. But for me it means: be intentional.
Here's how I think about building a portfolio for the next 5 years:
1. Get AI exposure, but be realistic about where the upside actually lives
The obvious names are already priced. The companies building the actual intelligence, the ones with the real potential already had their price discovery in private markets.
That said, exposure still makes sense. Just be focused about what you're buying. We don’t know what AI companies will take the cake and I’m not that sure that they will be willing to share. Overall an AI-focused ETF gives you broad exposure to the infrastructure layer. Chips, cloud, data centres, the picks and shovels. You're not getting OpenAI's upside, you're getting a basket of companies that grow as AI adoption grows. That's a reasonable bet. It's not asymmetric, but it's not nothing either.
What I'd look for: beneficiaries that exist outside this circle of obvious names. There’s loads of sectors that can profit off AI automation heavily. Robotics ETF is also ‘only’ up like 10% in a year.
2. Real assets: own things that can't be copied
In a world where digital products get rebuilt overnight, physical scarcity becomes a stronger value proposition, not a weaker one.
Real estate is the obvious play for those with capital, but be selective. Residential in supply-constrained markets. Industrial and logistics (AI needs physical warehouses, data centres, grid infrastructure). Not speculative commercial in B-grade locations.
For those without the capital or appetite for direct property REITs offer exposure to specific asset types without the illiquidity. Look for REITs focused on infrastructure, logistics, or residential. Not office-heavy (I think triple A locations are of great importance here and if you buy a general office REIT you could be doing the same as buying a Vanguard World as mentioned earlier). Not retail-heavy.
The principle: own what can't be replicated by a model running on a server. Oh and yes, AI powered robots could eventually make real estate less scarce, hence why I keep mentioning triple A locations. They will keep their scarcity.
3. The ETF layer: build a "Physical Bunker"
This is where I spent the most time. I ran constant feedback loops; LLMs, Perplexity and scenario modelling to build a shortlist that covers the major trends without pretending to predict which one wins.
The mental model I used: antifragility. Not just protection from downside, but a portfolio that captures upside from AI productivity while sitting on a hard floor of physical assets that software cannot disrupt.
The four I landed on:
L&G Clean Water (XMLC). Water is non-discretionary. Predicted 40% supply-demand gap by 2030. And something some people miss: AI data centres consume enormous amounts of water for cooling. Even if this doesn’t directly benefit the ETF companies the narrative cannot be unseen.
iShares Global Infrastructure (IQQI). AI development is physically limited by energy and grid capacity. These companies own the infrastructure the intelligence explosion runs on. Steady, regulated returns, with structural tailwinds from something most infrastructure ETFs weren't originally designed to capture.
Xtrackers MSCI World Consumer Staples (XDWS). People eat and maintain hygiene regardless of AI's impact on employment. High pricing power in inflationary environments. This is the sleep-well holding. Best protection in stagflation or mass unemployment scenarios.
Xtrackers MSCI World Health Care (XDWH). Healthcare is a primary AI beneficiary and structurally defensive. Demographics drive constant demand. GLP-1 and AI-assisted diagnostics drive growth. It's one of the rare sectors that benefits from disruption rather than suffering from it.
I also looked at agriculture ETFs seriously. The food shortage thesis is real. But pricing pressure keeps the upside capped, too much structural complexity. Left it out. Obviously with the geopolitical situation a Defense ETF makes sense too, I didn’t include it for now because I also took into account timing/recent results.
Precious metals (gold, silver) deserve a mention here too, the same logic applies. Physical, scarce, and no software can rebuild them. They’ve seen major rallies already.
This ETF portfolio is designed to perform in 3.5 out of 5 major economic scenarios: AI bubble, AI boom, mass unemployment, stagflation, and AGI. In my opinion you cannot hedge for AGI which means we can only plan for 4 scenarios. 3.5 out of 4 is a good score.
4. One more thing: Crypto and AI Agents
Short version, it’s the most speculative part.
Crypto sentiment right now is somewhere between exhausted and absolute despair. However looking at recent OpenClaw developments (The platform for autonomous AI agents running your business) its showing us a world where AI agents could rely heavily on crypto. Using the traditional banking system is difficult, crypto payments make it much easier. I think it will make sense to have a bit of exposure (apart from the Bitcoin-case in general); There is never better timing than during a period of terrible sentiment.
The thread running through all of this: value is shifting. It went from physical to digital, and now back away from things that exist only as logic on a screen. Toward physical scarcity, biological necessity, and the infrastructure that the intelligence revolution actually runs on. The SaaS repricing was only the opening act. Position accordingly.
A portfolio is very personal and clearly there is no *one size fits all* solution, hope this post gives you at least one insight you didn't have yet.
Not financial advice, just my thoughts. None of this is sponsored. Do your own research. Do your own research. Do your own research.
The coming year(s) needs a different strategy.
I already mentioned it a year ago, this will be as disruptive as it can get.
Elon called it a “Supersonic Tsunami.”
We’re now seeing it hit SaaS.
In this week's video:
• Recursive self-improvement is real
• Free models are accelerating
• CapEx is surging
• Bottlenecks are growing
• My Turbulence Model is flashing risk
This isn’t a normal rotation.
youtu.be/6tt09Bn8XJI
CR retweeted
Replying to @cruel__la
And someone dumping his full stack of $WOM is giving a nice opportunity right now.. 🫡
CR retweeted
You are not ready for what's coming 👁️
CR retweeted
WHY Bitcoin was sleeping on $2T. 🧵
HOW a shadow team solved it. 🧵
WHAT just went live on L1.🧵
SPOILER ALERT : BTC DEFI ON L1
For some reason $SYRUP went unnoticed for a long time (except @JumperWave spamming my dms) while the largest asset manager in the world is publicly speaking about the ‘tokenise everything’ roadmap every day.
There’s a lesson in that.
Maybe, just maybe... something's brewing at chintai:
Real-World Assets (RWAs) are quickly becoming the next major wave in crypto. Larry Fink's talking tokenization at the SEC, BlackRock and Franklin Templeton are bringing funds on-chain, and this week's Chainlink SmartCon (Nov 4-5) looks like the meeting point between TradFi and DeFi.
Right in the middle of that sits CHEX (Chintai), a regulated RWA platform out of Singapore that's been quietly building the rails for years.
The Setup
CHEX is an official sponsor of SmartCon, where Fidelity International, Franklin Templeton, JPMorgan, and others will discuss tokenized capital markets. CEO David Packham recently said they were "setting up a news cycle," and this event feels like the start of it.
Then, just two days later, comes another long-anticipated milestone: a dashboard launch *targeted* for Friday, Nov 7, announced in their Telegram channel. It should finally display their on-chain assets: reportedly $669 million issued (and $5.7 billion signed?).
The Day Before SmartCon
On November 3rd, one day before SmartCon opens, Chainlink dropped a major announcement: the Chainlink Automated Compliance Engine (ACE) partner ecosystem, featuring 20+ leading compliance providers, frameworks, and regulators.
Among the tokenization platforms listed: Chintai.
According to Chainlink, "Chintai uses ACE to define investor and transaction eligibility requirements for Chintai assets in public blockchain environments." Translation: Chintai's compliance infrastructure is now part of Chainlink's institutional-grade standard for onchain compliance, alongside identity providers like GLEIF and World, risk platforms like Chainalysis and TRM Labs, and frameworks like ERC-3643.
This positions CHEX as one of the few tokenization platforms officially recognized within Chainlink's ecosystem, the same week they're sponsoring SmartCon. Timing feels deliberate.
Partnership Web
Splyce × Solana: In a recent Twitter Space, Splyce said "Chintai funds will be available from the first half of November." That suggests tokenized products might go live right after SmartCon.
Arch Network + HoneyBee (Bitcoin): Bringing real-world yield to Bitcoin without bridges or wrapping. CHEX provides compliance; Arch provides the native BTC infrastructure.
Passion Venture Capital (PVC): Strategic plan to tokenize $1.2 billion in Asian assets over 18 months, covering bonds, private credit, real estate, and biotech.
Packham also dropped this line:
"We not only have one of the top 5 asset managers in the world but looks like we secured an additional top 20 to be a strategic partner with us."
The names remain undisclosed, but ecosystem overlaps point strongly to Fidelity or Franklin Templeton, both SmartCon participants.
The Leaked Slide
A PowerPoint slide recently surfaced showing Chintai's partner and ecosystem network. The roster includes major exchanges: Coinbase, Kraken, Bitfinex, Bybit, OKX, Binance, and Cryptodotcom. If accurate, it suggests CHEX has been building distribution infrastructure quietly while the token languished.
Comparing that slide to Chainlink's official ACE announcement, many of the same names appear: Chainalysis, CipherOwl, Hacken, Kaiko, Hummingbird, Persona, Proof, TRM Labs. The leaked slide wasn't speculation. It was a preview of what's now public.
Reality Check
CHEX hasn't moved fast. The dashboard's been promised for nearly a year, and the "top 5 / top 20" names are still unrevealed two months later. But unlike many fast-moving RWA protocols, CHEX built the regulatory foundation first. They hold dual Monetary Authority of Singapore licenses (CMS + RMO), one of the strongest compliance moats in the sector.
There's another reason the price stayed flat: a whale who held 100 million CHEX has been dumping for over a year. On-chain data shows they're now down to around 3.5 million tokens. That overhang suppressed price action even as fundamentals improved. With the whale nearly out, that selling pressure is finally gone.
Seems like things are aligning. Chainlink ACE announcement → SmartCon → Dashboard Launch → follow-up announcements feels deliberate, like the start of a coordinated news cycle after a year of silence and systematic selling.
The Bigger Picture
The global RWA market could reach $16–30 trillion by 2030. Solana's RWA TVL grew 260% YTD to around $600 million. CHEX is now active on three fronts:
Ethereum / Chainlink for interoperability
Solana / Splyce for distribution
Bitcoin / Arch Network for yield
Their token model ties directly to platform activity: 5% buyback + burn, 10% revenue to stakers, and a fully circulating supply. A rare combo of real yield and scarcity.
Bottom Line
CHEX has been one of the slowest-moving RWA players but also one of the most fundamentally sound, Tradfi based. After months of silence, repeated delays, and relentless whale selling, all catalysts now converge within a single week: official Chainlink ACE recognition, SmartCon sponsorship, new partnerships, the long-awaited dashboard, and confirmation that the ppt slide was real.
The whale's finally out. The partnerships are verified. The regulatory moat is defensible. And now, one day before the biggest institutional crypto event of the year, Chainlink just told the world that Chintai is part of their compliance standard for tokenized assets.
What's next, only time will tell
People starting to believe in $WOM.
What Dexscreener is for pricing, @womdotfun is for social trends.
Still under $1M mc, massively undervalued and overlooked.
CR retweeted
Imagine a future where every new launch, every upcoming token, every narrative that matters - runs through $WOM first.
Where top incubators and launchpads plug straight into the attention layer itself.
That future’s not far.
(below image sums up our mental state while everyone's crashing out over Believe PA and we're over here building the best PMF the trenches have seen since pumpfun)
CR retweeted
I usually don’t buy projects under $1m fdv.
Most of the time they go to 0.
But for @womdotfun I made an exception.
I sincerely think that this could run very very hard once it gets the recognition
it deserves.
At $500k mcap I am holding 1% of the supply. Might increase it.
With @Cruellacodes at the wheel of @womdotfun I think $WOM has a bright future.
Moat this, moat that…
How about Truly Permissionless Attention Markets?
WOM Campaigns (going live sooner than you think) are the first system where belief becomes capital, and anyone can spark narrative:
1. Pre-TGE campaigns
• Build narrative before liquidity.
• Don’t wait for launch to build mindshare.
2. Post-TGE / feature drops / v2s
• Launch micro-campaigns around any real milestone.
• Perfect for reigniting traction or capturing attention fast.
3. Community-funded campaigns (the real unlock)
• A DAO, a whale group - or even 5 holders - can pool $5K in SOL or USDC and say:
“We want to give this token the attention it deserves.”
• No permission needed from the core team.
• No middlemen. Just pooled belief → attention → conversion.
This flips the funnel:
from top-down marketing to bottom-up conviction.
Just like liquidity was democratized by AMMs, attention gets democratized by WOM:
• You don’t need a million followers. You just need a platform.
• You don’t need to be a founder. You just need conviction.
• You don’t need to beg for exposure. You can fund and earn it - as a group.
For the first time, anyone can start a movement.
WOM Campaigns make attention composable.
A product you can launch.
A resource you can pool.
A market you can win.
And it all runs on Word of Mouth.
Soon.
CR retweeted
I’m honestly surprised $WOM hasn’t hit 10m yet, this tek is insane and definitely deserves a spot among the elite
4zDvBs8TYrp1Srdh7zWAj6BTUqiHPArEDbrPCK39vBLV
Moat this, moat that…
How about Truly Permissionless Attention Markets?
WOM Campaigns (going live sooner than you think) are the first system where belief becomes capital, and anyone can spark narrative:
1. Pre-TGE campaigns
• Build narrative before liquidity.
• Don’t wait for launch to build mindshare.
2. Post-TGE / feature drops / v2s
• Launch micro-campaigns around any real milestone.
• Perfect for reigniting traction or capturing attention fast.
3. Community-funded campaigns (the real unlock)
• A DAO, a whale group - or even 5 holders - can pool $5K in SOL or USDC and say:
“We want to give this token the attention it deserves.”
• No permission needed from the core team.
• No middlemen. Just pooled belief → attention → conversion.
This flips the funnel:
from top-down marketing to bottom-up conviction.
Just like liquidity was democratized by AMMs, attention gets democratized by WOM:
• You don’t need a million followers. You just need a platform.
• You don’t need to be a founder. You just need conviction.
• You don’t need to beg for exposure. You can fund and earn it - as a group.
For the first time, anyone can start a movement.
WOM Campaigns make attention composable.
A product you can launch.
A resource you can pool.
A market you can win.
And it all runs on Word of Mouth.
Soon.
CR retweeted
Think this is mad.
$CFGI is the easiest trade in the market, terms of risk / reward, probably best I hold.
An automated AI trader, executing over 800+ trades all in realtime, with over a 90% win rate is being priced in at 2M MC. With leverage coming soon, and stocks, this is probably my #1 pick to hit the billions. Already working via API to have them automatically trade for you.
cfgi.io/ai-dashboard
To date, over 90% hit rate on over 840 trades. I've said it before, and I'll say it again.
It's trading at a 2M MC.
It’s going north of 1b.
Not much anyone can do to stop a money printer from printing. Haven't every seen anything like it on the market, with the ultimate utility of printing free money for its end user. No rebates, or reflections. Just straight profits printed into your wallets via the successful trades all made over API.
No fancy buzz words.
No false promises.
Just a printer that continues to print
This quoted post is unavailable.
CR retweeted
I bullieve that @womdotfun can be your next 100x
This is just the beginning for $Wom
Better and more useful features then @KaitoAI at $1b valuation lol
Mindshare is one thing - but context is everything
The new ICM Heatmaps now let you sort by:
• Mindshare (duh)
• Market Cap
• Volume
• Holders
• 24h Mindshare Δ
Real-time sync between social and on-chain, all in one view.
$WOM just made the attention economy interactive.






















