Frequently Asked Questions About PensionCraft 2026 Market Rotation Analyser
21 answers covering everything from basics to advanced usage.
// Basics
What does 'safe harbor has become the centre of the storm' mean?
It's the framework's core diagnostic: the moment a diversification tilt's largest position is structurally identical to the risk you were escaping. For example, buying a value ETF to reduce Magnificent Seven concentration, only to find memory and semiconductor names are its biggest holdings. The apparent escape has become a more leveraged, less liquid slice of the same bet.
What is 'atoms, not algorithms'?
It's the shorthand for the Halo Trade thesis: as AI commoditises software, real value shifts to physical infrastructure — the atoms of power, cooling, cabling, metals, and machines — rather than the algorithms themselves. It captures why heavy-asset industrials and infrastructure suppliers have rotated into favour during the AI capex wave.
What is the Supercycle Race?
It's the race between revenue arrival and enthusiasm exhaustion. Every major capex wave must eventually generate enough revenue to justify the infrastructure spending. Until that revenue materialises, the trade is faith-based. The bet only pays off if returns arrive before market confidence breaks — and nobody knows in advance which gets there first.
// How To
How do I apply the Halo Split to my holdings?
Classify every significant holding as either Leveraged AI or AI-Proof. Leveraged AI names — chips, memory, fiber, power gear, cooling — depend directly on AI capex continuing and fall hard if spending stops. AI-Proof names — consumer staples, traditional industrials, logistics, contracted utilities — are unlikely to be disrupted soon and are the genuine diversifier. Never treat the two as equivalent.
How do I run the Priced for Perfection test?
For each major position, ask: would a merely very good earnings result trigger a large sell-off? Warning signs include record ETF inflows in weeks, century-bond issuance, stocks pricing in projections 5+ years out, and crowded positioning. If yes, the position is late-cycle rather than early-cycle, and any small disappointment can cause outsized drawdowns.
How do I size the 'forgotten lever' of bonds and cash?
Size shorter-duration bonds and cash according to your risk tolerance and your conviction in the dominant narrative. When one story drives equities across sectors and geographies, these are often the only assets that don't move with the trade, making them disproportionately valuable as true diversifiers — even though they're not exciting. Lower conviction in the narrative argues for a larger allocation here.
How do I test whether going global escapes the AI trade?
Audit the actual top holdings and top return contributors of the global index you're considering. If the same supply-chain names — Samsung, TSMC, ASML — appear at the top, you've relabelled the bet. Acknowledge that global exposure genuinely lowers valuation and single-country concentration, but frame it clearly as reducing, not removing, the dominant narrative.
// Troubleshooting
My value fund fell as hard as tech during the last drop. Why?
Because the fund's label lied about its exposure. A value screen can select memory chip makers and semiconductor names when they trade at low multiples, quietly loading you with Leveraged AI. When the AI trade wobbled, your 'value' holdings moved with it. Pull the top holdings — you almost certainly had accidental narrative exposure through a trusted label.
I bought a thematic ETF that's up 300% — should I sell?
Not necessarily, but recognise you're in it late. Record inflow pace and a 300% run in six months are Packaged Ticker and Priced for Perfection warnings, not endorsements. The framework's advice is to size it as a high-volatility, high-conviction position rather than a diversifier — and to confirm you're holding on purpose, with the conviction to survive a large drawdown.
I can't find the top holdings of my fund. What do I do?
Check the fund provider's fact sheet or website, which is legally required to disclose top holdings, usually the top 10. If unavailable, use the index the fund tracks and look up its largest constituents. Without this data you cannot complete Step 2 — and trusting the label instead is the single most common pitfall the framework warns against.
What if all my holdings turn out to be Leveraged AI?
Then you have accidental, concentrated, unhedged exposure — the worst of both worlds. The framework recommends deliberate repositioning, not a panic exit. Either consciously accept it as a sized AI infrastructure bet aligned with your conviction, or add genuine AI-Proof names plus the forgotten lever of short bonds and cash to build real diversification.
// Comparisons
How does this framework compare to traditional Modern Portfolio Theory diversification?
MPT diversifies by asset class and historical correlation; this framework diversifies by narrative exposure. In a single-narrative market, assets that look uncorrelated historically can all become correlated because they share one driver — AI capex. The Analyser looks through labels to structural dependency, catching hidden concentration that correlation math and sector buckets miss.
How is the Halo Trade different from just buying industrials?
Buying industrials broadly mixes both Halo sub-trades indiscriminately. The Halo Split separates Leveraged AI industrials (power gear, cooling, cabling directly tied to AI capex) from AI-Proof industrials (traditional logistics, contracted utilities). Only the second group is a genuine diversifier. Buying 'industrials' without this distinction can load you with more AI risk while you believe you're reducing it.
How does this differ from a generic 'is the market in a bubble?' question?
Generic bubble questions ask about the whole market; this framework asks whether your specific holdings are late-cycle and whether your specific 'safe' positions are secretly the bet. It combines the Packaged Ticker Warning, Priced for Perfection, and Supercycle Race tests into a personalised verdict tied to your time horizon and conviction, not a market-wide guess.
Is a value tilt better or worse than a global tilt for escaping the AI trade?
Both can fail differently. A value tilt can silently load Leveraged AI names trading at low multiples. A global tilt reduces single-country concentration and valuation but keeps the same supply-chain names dominant. Neither is a clean escape — the only reliable answer is to audit actual top holdings and pair equities with the forgotten lever of short bonds and cash.
// Advanced
What is the Cash Conduit Shift and why does it matter for returns?
It's the transition where the Magnificent Seven moved from being the engine of returns to being the cash conduit — they now raise and spend capital, while companies one step down the supply chain catching that spend become the real return engine. It matters because the highest-upside layer has moved down, but so has the highest leveraged-AI risk if capex slows.
What efficiency-disruption threats could collapse the AI capex thesis?
Cheaper AI models, algorithmic efficiency gains, and edge computing could all reduce the hardware needed per unit of AI capability, collapsing the capex-driven demand for chips, memory, and power gear — without any macro deterioration. The framework flags these as threats that could shorten the capex cycle and hit Leveraged AI names even in a healthy economy.
How do I evaluate the Supercycle Race for my specific time horizon?
Ask what annual revenue the industry must generate to justify current capex, then look for evidence that revenue is materialising versus still faith-based. Compare that timeline to your holding period. If revenue arrival plausibly precedes your exit and your conviction is high, the bet fits. If your horizon is shorter than the credible revenue timeline, you're betting on sentiment, not fundamentals.
What is the Investment Supercycle and is it durable?
It's the thesis of a multi-year, multi-trillion-dollar wave of coordinated spending across AI, defense/reshoring, and energy transition — three structural shifts some investors see as mutually reinforcing over a decade or more. The framework treats durability as an open question: it advises checking whether the three legs move independently, so that if the AI leg wobbles, defense and energy hold up on their own.
Can accidental exposure ever be acceptable to keep?
Only after you convert it to intentional exposure. The framework's decisive move is turning drift into decision: once you've audited the position, understand its Halo classification, and confirm it's sized to your conviction and time horizon, holding it becomes on purpose. What's never acceptable is leaving it accidental — bearing volatility you don't understand with no conviction to hold through a drawdown.
How do I identify the single dominant narrative if several themes exist?
Rank the candidate themes by their share of earnings growth or index return contribution. In a concentrated market there's usually one master narrative — currently AI infrastructure — with satellite stories like defense reshoring and energy transition feeding it. Name the master narrative first, then map which of your holdings are structurally linked to it regardless of their sector labels.