A study of 5,000 Britons commissioned by Lloyds Banking Group late last year concluded that more than half of adults were using AI platforms for financial advice.
I am pleased to see our ace pension journalist n top form . Mary McDougall is treating us to a gem of an article, weeks before she takes maternity leave. I wish her well and recommend this article published March 7th, here on this free share.
Wonderful news, this should help the educational aspirations of the industry and a reality check when individuals test how they are on track for a comfortable retirement.
Of course there will be regional variations. Hopefully not everyone will move from Blackpool to Richmond.
I asked one of my AI apps about Dan investing in tracker funds, with the following result:
Index tracker funds may appear to have clear benefits, but they also embed structural, market, and behavioural weaknesses that can be overlooked when “passive = safe” becomes the default assumption.
Structural and performance limitations:
• Guaranteed underperformance vs index: Because of fees and trading costs, a pure tracker must lag its index over time, even if the gap may be small.
• Tracking error and “closet active” indices: More complex or custom indices can have higher tracking error and behave more like active strategies, diluting the simplicity many investors expect.
• Cost dispersion: Some index trackers remain surprisingly expensive (including sales loads), meaning investors can pay active‑style fees for passive exposure.
Concentration and bubble risk:
• Market‑cap weighting issues: Global and regional indices increasingly concentrate in a small group of mega‑caps, especially US tech, so “diversified” trackers can be heavily dependent on a few expensive stocks.
• Bubble participation: Trackers must buy more of whatever has gone up and less of what has gone down, so in late‑cycle markets they can amplify exposure to overvalued sectors or countries.
• Limited genuine diversification: Major indices across countries often share similar global giants, reducing the diversification you might think you get from multiple trackers.
Cyclical downside and lack of defence:
• No downside flexibility: Trackers must follow the index down in bear markets and cannot raise cash, change sectors, or hedge based on judgement.
• Forced exposure to weak companies: Indices include over‑leveraged or deteriorating businesses until they are removed, so trackers hold them through their decline.
• Flow‑driven vulnerability: Large flows into and out of index products can push up components on the way in and exacerbate falls if flows reverse.
Market‑wide effects and price discovery:
• Reduced price discovery: As more capital goes into mechanical index buying, fewer active investors remain to analyse fundamentals, potentially weakening how well prices reflect information.
• Basket trading distortions: Index‑wide flows can increase volatility and affect liquidity in constituents regardless of their individual fundamentals.
• Systemic concentration: The dominance of a few large index providers and products can become a systemic risk if confidence in them is ever questioned.
Product design and “not all trackers” issues:
• Smart beta and niche indices: Newer factor or thematic indices can be back‑tested to look good but then disappoint in real time once money tracks them.
• Index construction opacity: Rules about inclusion, weighting, and rebalancing can create hidden bets (sector, factor, geography) that many investors do not fully understand.
• Mis‑sold simplicity: Marketing often glosses over differences in cost, replication method, and benchmark choice, so investors may assume all trackers are interchangeable when they are not.
I also asked one of my AI apps about Dan investing in ETFs, with the following result:
Investing in ETFs involves meaningful risks:
Beyond general market ups and downs, ETFs add structural, liquidity, and product‑design risks that many investors underestimate.
Core market and portfolio risks:
• Market risk: If the assets an ETF holds fall, the ETF falls; broad equity, bond, or sector ETFs all fully share underlying market volatility.
• Concentration risk: Many thematic or sector ETFs are heavily weighted in a few names, so a small group of companies can drive large swings.
• Credit and interest‑rate risk: Bond and loan ETFs face default risk of issuers and price sensitivity to rate changes, sometimes with more intraday volatility than owning the bonds directly.
• Country and currency risk: ETFs focused on specific regions or foreign markets add political, regulatory, and FX risks on top of market risk.
Structural and liquidity risks:
• Liquidity of the ETF itself: Niche or small ETFs can have low trading volume and wide bid‑ask spreads, making it costly or hard to enter or exit positions, especially in stress.
• Liquidity of underlying assets: When the securities inside are illiquid (small caps, high‑yield bonds, exotic markets), the ETF can show large tracking errors and price dislocations versus its net asset value.
• Creation/redemption dependence: ETFs rely on authorised participants (APs) to arbitrage price vs NAV; if APs step back in a crisis, discounts or premiums can persist.
Tracking and management risks:
• Tracking error: Costs, imperfect replication, trading frictions, and illiquidity can cause an ETF to lag or deviate from its index, undermining the “index-like” promise.
• Active management risk: Actively managed ETFs depend on manager skill; poor decisions can underperform both the benchmark and cheaper passive choices.
• Complex strategies: Leveraged and inverse ETFs reset daily and can severely underperform the simple multiple of the index over longer periods, especially in volatile markets.
Counterparty and operational risks:
• Synthetic ETF counterparty risk: Synthetic ETFs use swaps and other derivatives; if the swap counterparty or issuer fails, collateral may not fully cover losses.
• Securities lending: Some ETF providers and brokers lend out portfolio holdings; a borrower default or collateral shortfall can create extra loss channels beyond market moves.
• Platform and broker risks: Holding ETFs through low‑cost brokers introduces operational, custody, and sometimes additional lending risks that investors often overlook.
Behavioural and usage risks:
• Overtrading: Because ETFs trade intraday like stocks, investors may churn positions, pay more in spreads and commissions, and reduce long‑term returns.
• False sense of safety: Diversification in an ETF does not eliminate drawdowns; equity ETFs can still fall sharply in broad sell‑offs, which surprises investors used to cash‑like products.
• Product complexity overload: The sheer number of narrowly focused or leveraged ETFs makes it easy to buy a product whose underlying exposures and risks you do not fully understand.
Absolutely accurate but any use?
By which I mean much is written but very little advice that can be acted upon by the individual
I tend to agree, but the long narrative might enable “Dan” to ask better questions before accepting AI’s “here to help you/sell to you” solutions of an index tracker and an ETF? Or might not.
Caveat emptor remains the backdrop, yet some may take AI solutions as gospel.