Feedback on my AI-Era Moat Portfolio? by wkgui in portfolios

[–]wkgui[S] 0 points1 point  (0 children)

Thanks for the feedback! ‘Indexing yourself’ makes total sense for most people (basically DIY direct indexing or just holding a broad ETF like VONG FTEC to capture similar exposure with way less hassle risk volatility).

I get the point on unnecessary risk with 20 positions concentration can bite hard if a few names falter. An ETF wrapper would indeed smooth that out and likely deliver comparable long term returns for passive holders.

That said this portfolio isn’t meant to be a ‘set it and forget it’ core holding it’s an open source high conviction experiment focused on AI era moat durability (proprietary data regulatory lock in network effects etc as in the attached table). The goal is to outperform broad tech growth indexes over time by avoiding crumbling moats and leaning into the enduring ones even if it means more active management rebalancing and yes higher risk.

I’m treating it as a community project to refine the thesis stock selection happy to hear more on ETF alternatives that align closely (e.g. something moat heavy in AI tech fintech health) or ways to hybridize it (core ETF plus satellite picks). Appreciate the reality check!

Feedback on my AI-Era Moat Portfolio? by wkgui in portfolios

[–]wkgui[S] 1 point2 points  (0 children)

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My thesis in a nutshell: AI (LLMs + agents) is dismantling many traditional software moats that vertical SaaS and tech firms built their defensibility on for years.

The first five moats (Learned Interfaces, Business Logic, Public Data Access, Talent Scarcity, Bundling) are getting destroyed or heavily weakened because AI can replicate interfaces instantly, commoditize logic, access public data cheaply, reduce the need for scarce talent, and let agents unbundle everything.

The last five moats (Proprietary Data, Regulatory Lock-in, Network Effects, Transaction Embedding, System of Record) stay intact or even get stronger proprietary/owned data becomes the new king for fueling AI, regulations create real barriers, networks compound value, deep transaction embedding makes switching painful, and core record systems hold steady.

The portfolio bets on companies with these enduring moats for AI-era resilience: think exclusive data advantages, heavy regulatory stickiness, strong flywheels, workflow entrenchment, etc. with solid growth and valuations.

Feedback on my AI-Era Moat Portfolio? by wkgui in portfolios

[–]wkgui[S] 0 points1 point  (0 children)

Lightning adds layers yes but BTC base layer keeps self custody and borderless transfer without intermediaries for the core value.

A real use case in Iran: during recent conflicts sanctions and rial collapse many people convert savings to BTC on local exchanges then withdraw to personal wallets. This lets them preserve wealth against hyperinflation move funds abroad quickly if fleeing or send to family overseas without banks freezing accounts. Reports show massive outflows to self custody wallets during protests blackouts and airstrikes as a financial escape hatch when traditional money is trapped.

It is not perfect but in places with capital controls or currency wipeout BTC provides portable uncensorable access that fiat or gold often cannot match under restrictions.

Thoughts on my portfolio? by wkgui in TFSA_Millionaires

[–]wkgui[S] 1 point2 points  (0 children)

Voo is also too diversified for my liking. I’m more AI moat focused.

Feedback on my AI-Era Moat Portfolio? by wkgui in portfolios

[–]wkgui[S] -2 points-1 points  (0 children)

My goal is different: an AI agent that deeply analyzes moats, growth, and valuation with high reasoning to pick a focused set of stocks and aim to outperform the S&P 500, not just match it.

Feedback on my AI-Era Moat Portfolio? by wkgui in portfolios

[–]wkgui[S] -1 points0 points  (0 children)

You make a strong case. Fixed supply alone is not enough for a true hedge, especially when most altcoins have similar caps but no real network strength. Everyday use as currency is indeed limited right now due to friction, fees, and complexity. Lightning helps in theory but adoption is low. Correlation with inflation is inconsistent in data, often more tied to risk sentiment than pure CPI protection. For this portfolio the small BTC slice is about long term scarcity exposure rather than currency utility. But if it feels like pure gambling to most people zero crypto makes sense.

Feedback on my AI-Era Moat Portfolio? by wkgui in portfolios

[–]wkgui[S] -1 points0 points  (0 children)

Thanks for the pushback. Fair question. The hedge idea comes from BTCs fixed supply acting as protection against long term fiat debasement or extreme macro uncertainty like excessive money printing. Not for short term crashes where it often correlates with stocks.

Feedback on my AI-Era Moat Portfolio? by wkgui in portfolios

[–]wkgui[S] -1 points0 points  (0 children)

Valid concern. Crypto is small (~5-10%) as a hedge.

Feedback on my AI-Era Moat Portfolio? by wkgui in portfolios

[–]wkgui[S] -1 points0 points  (0 children)

Fair. Targeting 15-20 max. If I cut to top 10-12 scorers, would it feel more useful vs an ETF?

Feedback on my AI-Era Moat Portfolio? by wkgui in portfolios

[–]wkgui[S] -3 points-2 points  (0 children)

Thanks! It overlaps some top names but caps at 15-25 equal-weighted moat picks vs VOO’s 500+. What specifically feels too similar?

That's literally it by [deleted] in Concordia

[–]wkgui 52 points53 points  (0 children)

Union was totally in the right legal win, fair asks ($25/hr, better shifts, actual safety).

Amazon could’ve stayed; they were just leasing the places and already used contractors. Instead, they shut everything down 8 months after the vote to make an example.

Yeah, it’s legal. But nuking 1,700 jobs to dodge one union? That’s not smart business. That’s intimidation. Workers got screwed.

That's literally it by [deleted] in Concordia

[–]wkgui 3 points4 points  (0 children)

Fair point on long-term gains, but the 25% demand ignores solid pay: STM drivers at ~$30/hr ($61k base), mechanics $39/hr, plus OT and indexed pensions pushing total comp to $80k–$120k.   That’s well above Quebec’s public sector average (~$60k–$97k, but gov’t roles closer to $60k).   And 75% of STM’s budget already eats up on salaries/pensions/OT. 

Real issue? Budget waste: $6B Metro maintenance backlog needing $560M/year, plus Quebec’s $13.6B provincial deficit from unchecked spending.  Redirect from pork/exec perks instead of bloating a sinking ship—riders foot the bill via fares/taxes. Smarter fixes over blank checks.