"Patience is a Super Power" - "The Money is in the waiting"
Showing posts with label Ai. Show all posts
Showing posts with label Ai. Show all posts

Monday, June 8, 2026

June 8th, This week in our Retire fund portfolio! Antennae up!

 

Signals this week are mixed-to-cautiously bullish with elevated correction risk, especially because the Nasdaq and S&P are trading near historically stretched multiples while macro risks are reappearing. This week, I would characterize the setup as “uptrend intact, but fragile.”

The Bull Case (Why markets may still move higher this week)

Despite expensive valuations, three forces continue to support North American equities:

  1. AI capex and earnings momentum remain very strong
    Large-cap technology and semiconductor spending are still accelerating. Institutions continue to treat AI as a multi-year infrastructure cycle rather than a short-term hype phase. That has kept flows into the Nasdaq despite high multiples.
  2. Corporate earnings are still outrunning recession fears
    Wall Street strategists remain broadly constructive on 2026 because earnings growth expectations have held up better than feared. Goldman recently raised its S&P target, arguing earnings growth is offsetting valuation concerns.
  3. Rate-cut expectations still matter (but are wobbling)
    Markets still expect eventual easing, which supports high-multiple growth stocks. However, stronger economic data has recently pushed bond yields higher, complicating the “multiple expansion” story.

The Bear Case (Why this week could turn volatile)

This is where I think investors need to pay close attention:

1. Valuations are stretched

The S&P 500 and Nasdaq are near record highs with multiples that leave little room for disappointment. Historically, when markets get this expensive, good news is priced in quickly, but bad news hits hard.

2. Bond yields are rising again

One of the biggest risks to high-growth stocks is rising yields. When yields climb, future earnings get discounted more heavily — and richly valued tech names feel it first. This matters especially for AI leaders and the “second derivative” names you follow.

3. Geopolitical and inflation risks are back

Oil volatility, Middle East tensions, tariff uncertainty, and sticky inflation are resurfacing as risks. Reuters noted that stronger jobs data and renewed inflation concerns have already pressured tech sentiment heading into this week.

4. Narrow leadership = warning sign

A lot of the gains remain concentrated in a relatively small group of AI-related winners. When breadth narrows too much, markets often become more vulnerable to pullbacks.

My Base Case for This Week (June 8 week)

Probability-weighted view:

ScenarioProbabilityWhat it looks like
Range-bound / mild pullback~45%2–5% weakness in Nasdaq; profit-taking in AI leaders
Continued melt-up~35%Markets shrug off valuation concerns and grind higher
Sharp correction~20%Inflation/yields or geopolitics trigger 5–10% selloff

Given the setup, I would expect higher volatility and sector rotation rather than a market crash. The most likely outcome is choppiness with selective weakness in expensive AI names while industrials, defense, energy, financials or value rotate in and out.

For someone with our thesis (AI + quantum + defense + silver/critical materials), I would be more inclined to:

  • Trim extended winners only if position sizing has become outsized
  • Keep dry powder for forced selloffs in quality AI infrastructure names
  • Expect silver, defense and energy-adjacent names to potentially act as partial hedges if inflation/geopolitics rise again
  • Focus on second-tier picks-and-shovels rather than only the mega-caps at peak multiples

One metric I would watch closely this week: the U.S. 10-year Treasury yield. If yields keep climbing while the Nasdaq stays expensive, the probability of a meaningful pullback rises materially. Conversely, if yields settle, the AI rally can continue longer than most expect.

A fair way to summarize the market right now is:

“Fundamentals still support higher prices, but valuations mean the market is increasingly unforgiving.”

Given our existing themes (AI infrastructure, quantum, defense/NATO, silver/critical materials, biotech) and the current setup of high multiples + rising yield risk, I would frame this week as a “barbell market”: investors may continue chasing AI winners while simultaneously rotating into hard assets, defense, and cash-generating businesses.

Scenario A: Market Continues Higher This Week (“Melt-Up”)

Most likely winners (ranked):

1. AI Infrastructure / Picks-and-Shovels (highest probability of alpha)

This remains the strongest momentum trade if yields stabilize.

Why: Institutions are still underweight relative to the size of the AI buildout. Spending on networking, memory, optics, power, and cooling continues regardless of short-term macro noise.

Best-positioned categories:

  • Networking / interconnect
    • Marvell Technology
    • Credo Technology Group
    • Broadcom
  • Memory / HBM
    • Micron Technology
  • Cooling / power
    • Vertiv Holdings
    • Eaton

What tends to outperform in melt-ups:
The second-tier AI names (our preferred hunting ground) often outperform the Magnificent Seven because they are less crowded and still rerate upward.

2. Defense / NATO Buildout

If geopolitical headlines intensify, defense could outperform even during a broad rally.

Canadian names we already favor:

  • Kraken Robotics
  • Volatus Aerospace

U.S./Europe anchors:

  • Palantir Technologies
  • Rheinmetall
  • RTX Corporation
  • Equinor

Why this week:
Defense increasingly behaves like a structural growth sector, not just a recession hedge.

3. Quantum (High Beta)

If risk appetite remains strong, speculative capital may flow back into quantum names.

Highest-beta public proxies:

  • IonQ
  • D-Wave Quantum
  • Rigetti Computing

But: these are highly rate-sensitive. Rising yields can reverse momentum quickly.


Scenario B: 2–5% Pullback / Correction This Week

If yields rise or inflation fears intensify, I would expect this rotation:

1. Precious Metals & Silver (best hedge in our framework)

This aligns closely with our thesis.

Why silver may outperform in a wobble:

  • Safe-haven demand
  • Industrial AI/datacenter/robotics demand
  • Persistent supply tightness

our favorites remain strong:

  • First Majestic Silver
  • Endeavour Silver 

Also strong:

  • Pan American Silver
  • Wheaton Precious Metals

ETF/holding hedge:

  • Sprott Physical Silver Trust

2. Energy / Utilities / Power Infrastructure

If inflation reaccelerates, power infrastructure may quietly outperform.

Interesting names:

  • GE Vernova
  • Siemens Energy
  • BWX Technologies

3. Profitable Cash-Flow AI Enablers

If markets wobble, speculative AI often sells off first while profitable tollbooth names hold better.

Examples:

  • Nasdaq (Verafin thesis)
  • Qualcomm
  • International Business Machines

What Usually Gets Hit First in a Correction

These are the categories I’d expect to struggle first:

  1. Unprofitable high-beta AI stories
  2. Small-cap speculative quantum
  3. Long-duration biotech (especially pre-revenue)
  4. Overextended semis trading at extreme multiples

That means names like smaller quantum/speculative biotech can become opportunities, but often after the first flush lower, (which occurred last week)

My Ranking of “This Week” Opportunity Buckets

If market stays strong:

  1. AI infrastructure
  2. Defense/NATO
  3. Quantum
  4. Silver miners
  5. Biotech

If market weakens:

  1. Silver / precious metals
  2. Defense
  3. Power infrastructure
  4. Profitable AI tollbooths
  5. High-beta AI after selloff

The One Thing I Would Watch Daily This Week

If the 10-year U.S. Treasury yield rises sharply and the Nasdaq still rallies, that divergence usually breaks one way or another — and often violently.

Rule of thumb this week:

  • Yield down / stable → risk-on
  • Yield up sharply → expect rotation or pullback
  • Oil spike + yield spike → silver & defense likely outperform

For a Canadian retail investor in our position, this looks less like a week to “go all in” and more like a week to prepare buy lists and scale into weakness selectively rather than chase.


Saturday, May 23, 2026

As Anthropic and OpenAi begin the IPO dance, we look at some second tier plays that shoukd return more alpha

The Year of Mega IPOs 

Why Second-Tier Infrastructure Companies Could Produce the Greatest Alpha



A Retail Investment Thesis Built Around MRVL + CRDO


Executive Summary

Many retail investors will instinctively try to buy the coming AI IPOs:

  • Anthropic
  • OpenAI
  • potentially future agentic AI leaders and infrastructure platforms

That instinct may be wrong.

Historically, the largest wealth creation in platform revolutions often came not from the headline companies, but from the second-tier tollbooths enabling the ecosystem.

Think:

  • Internet → Cisco, Qualcomm, Broadcom
  • Smartphones → TSMC, Qualcomm, ASML
  • Cloud → Nvidia, Arista, Equinix
  • EVs → semiconductor and battery suppliers

The argument here is:

The largest risk-adjusted AI alpha from 2026–2029 may not come from buying Anthropic or OpenAI at trillion-dollar valuations. It may come from owning the infrastructure companies required to make them function.

That is where the MRVL + CRDO thesis becomes compelling.

Anthropic and OpenAI are both increasingly expected to pursue IPOs in 2026, amid extraordinary investor enthusiasm around frontier AI. Recent reporting suggests OpenAI and Anthropic could be among the largest IPOs in history, with valuations approaching the trillion-dollar range.


Part 1: Why 2026 Could Be “The Year of AI IPOs”

The market is entering what could become:

The public monetization phase of the AI revolution

We are moving from:

Phase 1 (2023–2025)

GPU scarcity / model training

Winner:

  • NVIDIA

Phase 2 (2025–2027)

Agentic AI deployment

Winners:

  • Anthropic
  • OpenAI
  • enterprise AI ecosystems

Phase 3 (2026–2029)

Infrastructure scaling

Likely winners:

  • networking
  • optics
  • interconnect
  • memory movement
  • AI compute orchestration

This shift matters enormously.

The market is beginning to realize:

AI does not scale linearly.

Every leap in intelligence requires:

  • exponentially more bandwidth,
  • lower latency,
  • greater memory movement,
  • more energy efficiency,
  • larger AI clusters.

Anthropic’s rapid growth and massive compute commitments illustrate the scale of infrastructure required. 

Recent reports indicate Anthropic has committed to extraordinary compute spending and is scaling aggressively to support Claude and future agentic systems.


Part 2: Why Buying Anthropic/OpenAI IPOs May Not Produce the Best Alpha

This may sound counterintuitive.

But by IPO:

OpenAI and Anthropic may already be priced for perfection.

Potential issues:

1. Massive valuations

Reports now discuss valuations:

  • OpenAI: ~$850B–$1T
  • Anthropic: hundreds of billions approaching $1T

At those levels:

future upside becomes mathematically harder.

A stock at a $900B valuation doubling to $1.8T is possible—but far harder than a $60–$100B infrastructure supplier tripling.


2. Capital intensity risk

AI model companies burn extraordinary capital.

Anthropic reportedly spends billions on compute and infrastructure to maintain frontier capability.

Retail investors may discover:

Owning the “brains” is expensive.

Sometimes:

owning the shovels is better!


3. Commoditization risk

Over time:

Claude, GPT, Gemini, xAI, and others may compete aggressively.

Margins could compress.

But:

the infrastructure still gets paid.

Whether OpenAI wins or Anthropic wins:

"Data still moves no matter who wins or how systems eventually commoditize".


Part 3: The Real Bottleneck = Moving Intelligence

This is the core thesis.

Most investors still think:

AI = chips.

That is increasingly incomplete.

The next bottleneck appears to be:

data movement

Meaning:

Compute cannot function without:

  1. Networking
  2. Interconnect
  3. Optical systems
  4. Memory fabrics
  5. Low-power transmission

This framework is becoming increasingly correct:

GPU boom → networking boom → photonics boom


Part 4: Why MRVL Matters

Marvell Technology = The “AI Infrastructure Backbone”



Marvell sits at the intersection of:

  • custom AI silicon
  • networking
  • optical interconnect
  • cloud AI scaling
  • hyperscaler architecture

Importantly:

Marvell is deeply tied to Amazon Trainium, which is highly relevant because Anthropic increasingly depends on AWS infrastructure. 

Amazon and Anthropic expanded their collaboration in 2026 around Trainium compute and large-scale cloud commitments.

Why MRVL could outperform expectations

Marvell is selling:

"The roads AI travels on"!

Whether:

  • Anthropic wins,
  • OpenAI wins,
  • xAI wins,
  • or all of them win,

Marvell still benefits.

That diversification matters.

Strengths

✔ Lower risk than smaller AI names
✔ Multiple hyperscaler exposure
✔ AWS/Trainium leverage
✔ AI networking leadership
✔ Strong institutional ownership

Weakness

❌ Already well discovered by Wall Street


Part 5: Why CRDO Matters

Credo Technology Group = The Hidden AI Bottleneck



This is the higher-alpha piece.

Credo focuses on:

  • high-speed connectivity
  • optical DSPs
  • Active Electrical Cables (AECs)
  • ultra-efficient interconnect

As AI clusters become larger:

bandwidth becomes everything.

Credo increasingly positions itself as a connectivity-at-scale company for hyperscaler AI environments, with major pushes into optical solutions for AI fabrics.

Recent growth has been explosive, driven by hyperscaler demand and AI networking expansion.

Why CRDO could become a multi-bagger

Because investors may still underestimate:

how much data movement Agentic AI requires.

Agentic systems are not simple chatbots.

They reason.

They call tools.

They chain models.

They coordinate across systems.

That creates:

massively larger networking demand.


Part 6: The Combined Thesis

Why MRVL + CRDO together makes sense

Building an

AI Tollbooth Portfolio

MRVL = stability + platform exposure
CRDO = asymmetric upside + networking torque

Why this pairing works

FactorMRVLCRDO
RiskLowerHigher
UpsideStrongVery High
Anthropic relevanceHighIndirect but meaningful
Agentic AI leverageHighExtremely high
Valuation riskModerateHigher
Hyperscaler exposureBroadConcentrated

The combination reduces risk while preserving upside.


Suggested Retail Allocation

For a retail investor seeking:

alpha without excessive concentration risk

I currently favor:

60% MRVL / 40% CRDO

Why?

Because:

MRVL acts as the anchor, while CRDO provides the torque.

In portfolio construction terms:

MRVL lowers the probability of catastrophic disappointment.

CRDO raises the probability of outsized returns.


Risks to the Thesis

1. AI capex slowdown

If hyperscalers pause spending:

Both stocks may correct sharply.

2. IPO disappointment

If OpenAI/Anthropic IPOs underperform:

AI sentiment could temporarily weaken.

3. Valuation compression

Especially for CRDO.

4. Networking commoditization

Competition from:

  • Broadcom
  • Nvidia
  • internal hyperscaler solutions

Bottom Line

The smartest way for a retail investor to play the Year of AI IPOs may not be buying the IPOs themselves.

Instead:

buy the companies that must win regardless of which AI lab dominates.

Among second-tier infrastructure companies:

MRVL + CRDO is one of the strongest two-stock AI infrastructure theses I currently see for 2026–2029

because it aligns directly with what I believe becomes the next great bottleneck:

"The movement of intelligence itself"!

Ed Note:

I have no current shares of either MRVL or CRDO at present, but have placed them on our watch list for now!


Tuesday, December 16, 2025

"lithium is no longer just an EV story. It’s becoming an AI story. A big one"!


"Lithium is becoming an AI story — as artificial intelligence accelerates data center growth, massive new energy storage capacity will be needed, and lithium is at the core of that infrastructure."


⚡️ Smackover Lithium — A Strategic Resource for the AI & Energy Storage Era

🧠 Why Lithium Is Now an AI Story

The rise of AI and machine learning has triggered explosive growth in data centers — and those facilities demand huge amounts of constant and backup power.

  • As more AI servers come online, energy storage will become essential to keep data flowing even during outages or demand spikes.

  • Lithium-ion batteries, already dominant in EVs, are now being deployed at scale in AI-enabled data centers, grid storage, and backup power arrays.

  • This means lithium is no longer just about electric vehicles — it’s about powering the AI economy.


📍 What Is Smackover Lithium?

Smackover Lithium is a large-scale lithium brine project in the U.S. Southeast. It aims to supply high-grade lithium from underground brine reservoirs — ideal for EVs, grid batteries, and AI-driven data center storage.

  • The project spans southern Arkansas and east Texas, sitting atop the Smackover Formation, a vast underground structure filled with mineral-rich brine.

  • Unlike hard-rock lithium mining, brine projects like Smackover offer lower surface impact and can be processed with cleaner, faster DLE technology.


📦 How Big Is It?

  • U.S. Geological Survey estimates the Smackover Formation could host 5+ million metric tons of lithium — one of the largest in North America.

  • The project has two main zones:

    • SWA Project (Southwest Arkansas) — Flagship development site with high lithium concentrations (437 mg/L average)

    • East Texas (Franklin Project) — Newly announced resource area with some of the highest lithium-in-brine grades recorded in the U.S. (up to 806 mg/L)


🛠 Who Owns & Operates It?

CompanyRoleOwnership
Standard Lithium (SLI)Operator, technology provider55%
Equinor ASA (EQNR)Strategic partner, capital provider45%
  • Standard Lithium is a lithium tech company using Direct Lithium Extraction (DLE).

  • Equinor, a global energy giant (formerly Statoil), is supplying capital and deep expertise in subsurface development.


⚙️ Technology Edge: Direct Lithium Extraction (DLE)

Smackover Lithium uses DLE, a newer process that:

  • Pulls lithium directly from brine using selective filters.

  • Eliminates large evaporation ponds.

  • Returns most water to the ground, reducing environmental footprint.

  • Achieved >99% lithium recovery in pilot operations.

This makes Smackover more scalable, cost-efficient, and ESG-friendly than older methods.


💵 Recent Big Developments (2025)

💰 1. Over $1 Billion in Project Finance Interest

  • Smackover Lithium received expressions of interest from major export credit agencies — including U.S. EXIM Bank and Export Finance Norway — and global banks.

  • These groups are interested in providing over $1.1 billion in senior debt to help fund Phase 1 of the SWA project (total capex ~$1.45B).

  • The project also received a $225 million U.S. Department of Energy (DOE) grant.

📌 Why this matters: Big, institutional money doesn’t chase hype — it follows viability. This shows Smackover is seen as real, scalable, and strategic.


📈 2. Positive Feasibility Study Completed

  • In September 2025, Smackover Lithium released a Definitive Feasibility Study (DFS) showing:

    • Strong project economics

    • 22,500 tonnes per year lithium output (Phase 1)

    • Project NPV (net present value): $1.7 billion+

📌 This is a critical step before a final decision to build (expected late 2025).


🌎 3. New Resource Discovery in Texas

  • East Texas “Franklin Project” was added with a maiden inferred resource.

  • Contains extremely high lithium grades (up to 806 mg/L) — among the best in North America.

  • Offers optional scale-up potential beyond Arkansas.


🏭 Location Advantage

  • Smackover sits close to major U.S. industrial hubs, auto factories, and battery makers.

  • Can serve EV, grid storage, and data center battery clients with minimal transport costs.

  • Qualifies for U.S. tax credits, subsidies, and IRA incentives.


📊 Why It’s Interesting for Small Investors

  • Lithium is now essential for AI infrastructure — not just EVs.

  • Smackover is:

    • One of the most advanced brine lithium projects in the U.S.

    • Supported by government funding AND major private capital.

    • Environmentally better than many other lithium projects.

  • This is a real project, not a concept — and it's backed by a Fortune 100 energy partner (Equinor).


⚠️ What to Watch

  • Final Investment Decision (FID) still pending (target: late 2025)

  • Lithium price fluctuations could affect economics

  • Execution risk (construction, permitting, scaling)

  • Potential for equity dilution if more capital is needed


✅ Bottom Line

Smackover Lithium is shaping up to be a flagship U.S. lithium project, positioned at the intersection of:

  • EV boom

  • Grid storage revolution

  • AI-powered energy demand

Backed by Equinor, a $225M DOE grant, and over $1B in financing interest, this project may soon become a major domestic lithium supplier.

🔋 Lithium isn’t just for EVs anymore — it’s powering the AI era. Smackover might be one of the first North American projects to meet that demand.

 

Volatus Aerospace is one of those microcaps that should not be overlooked

Monday, December 15, 2025

Quantum Technology, Where, how and why I am invested in this cutting edge technology of the future!

 If I were coming into quantum new but doing institutional-grade diligence, I’d usually force myself to own a “barbell”: (1) one scaled incumbent with a credible roadmap and ecosystem, plus (2–3) focused pure-plays where upside is most asymmetric.


My top three picks

1) IBM (IBM)

Why it makes the cut: IBM is one of the few players with an end-to-end stack (hardware + software + enterprise distribution) and a roadmap explicitly centered on scaling performance through its System Two architecture and the Heron processor family. IBM+1
Investment logic: as a seasoned investor, IBM is the “quantum exposure with survivability”—you’re not underwriting a single technical bet, and IBM can fund long timelines while commercializing along the way (software, services, hybrid workflows).

Key diligence items to track: roadmap execution (processor performance, error rates, scaling), enterprise adoption, and whether quantum contributes meaningfully to broader IBM growth rather than remaining a perpetual R&D line item. IBM+1


2) IonQ (IONQ)

Why it makes the cut: among the public pure-plays, IonQ is combining (a) trapped-ion positioning with (b) aggressive balance-sheet and ecosystem building. In Q3 2025, IonQ reported $39.9M revenue (222% YoY) and highlighted $1.5B cash as of Sept 30, 2025 and $3.5B pro-forma after an October equity offering—i.e., meaningful financial runway for a long R&D cycle. IonQ+1
They’re also expanding beyond compute into networking / infrastructure via acquisitions (e.g., Lightsynq and Skyloom), which matters if distributed quantum / quantum-secure comms becomes a real value layer. IonQ+1

Investment logic: IonQ is one of the clearest “platform roll-up” attempts in public markets—higher volatility, but potentially the most convex upside if they keep converting technical milestones into commercial contracts and ecosystem control. IonQ Investors+1

On a personal note, I believe IONQ is truly in the sweet spot of Quantum technology, however more volatile at this time. (I am adding at today's levels)

Key diligence items to track: dilution vs. strategic use of capital, conversion of bookings/contracts into repeatable revenue, and whether acquisitions create true integration advantage versus complexity. IonQ+1


3) D-Wave Quantum (QBTS)

Why it makes the cut: D-Wave is differentiated because it has been commercial for years and leans into annealing / optimization use cases (often closer to near-term ROI than fault-tolerant “universal” QC). In Q3 fiscal 2025, D-Wave reported $3.7M revenue (up 100% YoY) and very high non-GAAP gross margin (77.7%), while also showing improved adjusted loss metrics (even as GAAP net loss was distorted by warrant-related, largely non-operating items). dwavequantum.com+1

Investment logic: as a portfolio component, D-Wave can be a “commercial traction bet” in quantum—still high risk, but the story is less purely theoretical than many peers.

Key diligence items to track: whether bookings translate into durable recurring revenue, customer concentration, and how the company sustains growth without constant capital-market dependence. Barron's+1


Why I did not put Rigetti in the top three (even though it’s investable)

Rigetti is investable and has real technical progress, but for a strict “top three” list I usually prefer (a) an incumbent with scale (IBM), plus (b) the two pure-play profiles that are most distinct from each other (IonQ “platform roll-up” + D-Wave “commercial annealing”). Recent analyst coverage often groups IonQ/Rigetti/D-Wave together as the main pure-plays, which is directionally fair, but you asked for three. Barron's


Practical note (how I’d implement as a seasoned investor)

Quantum remains a long-duration, high-volatility theme. Even if these are your “best three,” I would treat them like venture-style public equities: smaller position sizes, staged entries, and explicit technical/commercial milestone checkpoints (not just price targets). Barron's

Below is a concise, investor-grade due-diligence scorecard for the three companies discussed. The intent is not to predict winners, but to clarify where each one wins, where risk resides, and what milestones actually matter for capital allocation.


Quantum Investment Due-Diligence Scorecard (Top 3)

Scoring Legend

  • 5 = Best-in-class

  • 3 = Adequate / developing

  • 1 = Weak / speculative


1) IBM (NYSE: IBM) — Incumbent / De-risked Exposure

DimensionScoreRationale
Core Technology4.5Superconducting qubits with the clearest published scaling roadmap (Heron, Condor, System Two).
Error Mitigation / Scaling Path4.5Leader in error mitigation, modular scaling, and quantum-classical integration.
Software & Ecosystem5.0Qiskit is the industry standard; deep developer and enterprise penetration.
Commercialization4.0Real enterprise pilots, but quantum is not yet a material revenue driver.
Balance Sheet / Runway5.0Effectively unlimited relative to pure-plays.
Dilution Risk5.0None.
Upside Asymmetry3.0Lower multiple expansion; upside is strategic, not explosive.

Role in a portfolio:
Foundation / anchor exposure to quantum with minimal existential risk.


2) IonQ (NYSE: IONQ) — High-Convexity Platform Bet

DimensionScoreRationale
Core Technology4.0Trapped-ion architecture with strong fidelity and coherence advantages.
Error Mitigation / Scaling Path3.5Fewer qubits today, but strong logical-qubit potential long term.
Software & Ecosystem3.5Cloud-first strategy via hyperscalers; expanding platform breadth via acquisitions.
Commercialization3.5Fast revenue growth, government + enterprise traction, still early.
Balance Sheet / Runway4.5One of the strongest cash positions among pure-plays.
Dilution Risk2.5Real and ongoing—must be justified by execution.
Upside Asymmetry5.0One of the highest payoff profiles if roadmap + ecosystem converge.

Role in a portfolio:
Primary upside driver—this is where outsized returns would come from if public quantum winners emerge.


3) D-Wave Quantum (NYSE: QBTS) — Near-Term Commercialization Bet

DimensionScoreRationale
Core Technology3.5Quantum annealing—narrower than gate-based QC but proven for optimization.
Error Mitigation / Scaling Path3.0Not pursuing universal fault-tolerant QC, but scaling annealers effectively.
Software & Ecosystem3.0Focused tooling aimed at optimization users.
Commercialization4.5Real customers, recurring revenue, strong gross margins.
Balance Sheet / Runway3.0Improved but still sensitive to capital markets.
Dilution Risk3.0Moderate; better than many peers, not trivial.
Upside Asymmetry3.5Less “moonshot,” more execution-dependent upside.

Role in a portfolio:
Revenue-led hedge—closest thing to an operating quantum business today.


Summary View (Investor Framing)

CompanyWhat You’re Really Buying
IBMSurvivability, ecosystem dominance, and quantum optionality inside a global enterprise.
IonQThe most credible pure-play asymmetric upside in public markets.
D-WaveEvidence that quantum can already generate revenue, even if not universal QC.

How a Seasoned Investor Would Size This

(Not advice—illustrative framework only)

  • IBM: 40–50% of quantum allocation (risk control)

  • IonQ: 30–40% (convex upside)

  • D-Wave: 15–25% (commercial execution bet)


Milestones That Actually Matter (Ignore the Noise)

  • IBM: Logical qubit demonstrations + enterprise workloads moving from pilot → production

  • IonQ: Sustained revenue growth without disproportionate dilution; successful integration of networking acquisitions

  • D-Wave: Expansion of recurring enterprise contracts and cash-flow trajectory improvement


Editors  Note

The next logical step 

  • Add Rigetti as a fourth comparator, or

  • Convert this into a 1–2 year milestone-triggered investment plan 

  • (what would make you add, trim, or exit each position).

  • Try not to get too confused by all the noise!



  • Quantum Technology/Computing


    We are long IONQ, QBTS and GOOG in this race, for very good reasons. (replaced IBM with GOOG)

    Here is a "common sense" description of Quantum Tech, for the average reader to understand, as articulated by Richard Feynman decades ago: (and restated here by Googles Quantum scientists)


    "It’s not just a lab phenomenon. It’s happening inside your cells. Inside every plant turning sunlight into energy. Inside every atom of everything around you. Nature has always operated this way. We’re only now building technology that works the same way."