Investor Q&A: Panic, buying opportunity or time to rethink portfolios?

What happened in markets?

Wall Street suffered its sharpest selloff in months on 5 November. The Nasdaq 100 plunged 6.4%, wiping out around $2.5 trillion in market value, while the S&P 500 declined 4.4% and the Philadelphia Semiconductor Index lost 12.2%.

The selling spread into Asia, particularly the semiconductor-heavy markets of South Korea, Taiwan and Japan.

But the weakness was not universal.

• US Treasuries rallied: Investors sought safety amid concerns about growth and a potential slowdown in AI investment, pushing yields lower.
• Gold's performance was mixed: Lower yields and policy uncertainty provided potential support, but liquidity-driven selling can also weigh on gold as investors raise cash.
• The yen and Swiss franc strengthened: Traditional defensive currencies benefited as investors reduced risk.
• Some non-AI stocks outperformed: Select companies supported by strong earnings and company-specific catalysts held up better, although broad equity selling extended well beyond technology.

The divergence highlights an important point: markets are not necessarily abandoning every investment opportunity. Investors are reassessing which risks they are willing to own.

Why are markets selling off so sharply?

The immediate catalyst is growing uncertainty over AI regulation following the Democrats' sweep of Congress, but the underlying concerns have been building for months.

Technology stocks entered the selloff with elevated valuations, enormous capital expenditure commitments and growing questions about the returns on AI investment.

A Democratic Congress could intensify scrutiny in three areas:

• AI oversight: Greater attention to competition, data privacy, model safety and consumer protection.
• Data-centre expansion: Tighter scrutiny of electricity consumption, grid costs, water usage and permitting, potentially increasing costs and delaying projects.
• Investment returns: Regulatory uncertainty could make investors less willing to fund aggressive AI infrastructure expansion without clearer evidence of profitability.

This is not the same as an outright anti-AI agenda. Maintaining US technological leadership, particularly against China, remains a strategic priority.

The political result is a catalyst for repricing. The deeper issue is that markets are increasingly unwilling to reward AI spending without a credible path to returns.

The speed of the selloff also reflects crowded positioning and leverage. When sentiment reverses, forced selling can magnify market declines beyond the immediate change in earnings expectations.

Have company fundamentals really changed overnight?

Not to the extent implied by the speed of the market decline.

AI demand, existing infrastructure and the technological opportunity did not disappear overnight. Many leading technology companies still have substantial cash flows, established customers and significant competitive advantages.

What changed rapidly was market sentiment and investors' assessment of future growth, regulatory risks and the valuations they are willing to pay.

This matters because a company can remain fundamentally strong while its share price falls sharply, particularly when leveraged and crowded positions are being unwound.

However, if restrictions materially delay new data centres or reduce AI spending, earnings expectations may eventually need to adjust.

The selloff appears to reflect a combination of genuine uncertainty and amplified selling pressure, rather than an overnight collapse in business fundamentals.

Is the AI boom coming to an end?

No. But we may be moving from an AI investment boom towards an AI profitability cycle.

We see AI developing through three phases: chips, infrastructure and ultimately adoption and productivity benefits. The markets are now navigating a transition from infrastructure buildout that has seen massive progress towards businesses demonstrating tangible returns on AI investment. However, productivity benefits remain limited for now despite heavy investments in infrastructure, and therefore the transition is proving to be extremely volatile.

Investor can look at the AI theme in three distinct groups:

The next phase may increasingly reward AI adopters while remaining selectively constructive on established leaders.

Could markets fall further, or are we approaching a bottom?

Further downside is possible, but extreme selling can also create conditions for a rebound.

Sharp market declines often reflect a combination of fear, forced liquidations and deteriorating sentiment. Once that selling pressure eases, markets can rebound quickly, sometimes before there is much improvement in the economic news.

However, a technical rebound does not necessarily signal a lasting recovery. Investors have seen corrections extend over several weeks or months, particularly when earnings expectations are also being revised lower.

The key question is whether selling pressure starts to ease while corporate earnings expectations remain resilient.

Investors should not mistake a sharp fall for a guaranteed buying opportunity, but neither should they assume that an extreme market move signals the end of the investment cycle.

Is this the beginning of a bear market?

It is too early to conclude that.

For now, the immediate shock is concentrated around the AI investment cycle, regulatory uncertainty and crowded positioning, although selling has spread more broadly.

The bigger concern would be if weakness extends into corporate earnings, credit conditions, employment and economic growth.

Investors should distinguish between a valuation correction and a broader deterioration in economic fundamentals.

Should investors sell everything and move to cash?

For most long-term investors, making an all-or-nothing decision during extreme volatility may create more problems than it solves.

Selling everything requires correctly timing both the exit and the eventual re-entry. Markets can rebound sharply, making it difficult to reinvest after selling in panic.

Instead, investors should review whether their portfolios remain appropriate for their investment horizon, financial goals and ability to absorb losses.

Those with excessive leverage, concentrated positions or near-term liquidity needs may need to reduce risk more actively.

The objective is not to eliminate volatility, but to ensure the portfolio can withstand it.

Does the selloff create opportunities to buy in US technology?

Yes, selectively. But a lower share price alone does not make a stock attractive.

Within US technology, we favour profitable AI leaders with strong balance sheets, established customers and sustainable cash generation.

Interestingly, tighter restrictions on new data-centre construction could also have an unintended consequence: making existing infrastructure more valuable.

Companies such as Microsoft, Alphabet and Amazon already control substantial computing capacity. If new supply becomes harder to build, these incumbents could benefit from higher barriers to entry and potentially stronger pricing power.

In effect, restrictions on expanding AI capacity could reinforce the competitive advantage of companies that already own it.

However, this is not guaranteed. Regulation could also target dominant platforms, while weaker overall AI investment could weigh on demand and profitability.

We would be more cautious about leveraged infrastructure businesses whose growth depends on continued capital expenditure and access to financing.

For investors looking to buy, the preference is quality and gradual accumulation rather than trying to catch the exact market bottom.

How can I diversify from US technology?

Diversification matters particularly when multiple investments depend on the same AI infrastructure cycle.

Two opportunities deserve attention:

• China — a potential slower-US-AI-spending trade: If US AI infrastructure expansion becomes more constrained, China's relative competitive position could improve. Domestic technology support and efforts to build semiconductor self-sufficiency are additional positives. Chinese internet platforms also offer exposure to e-commerce, advertising and digital services, although weak domestic demand, regulatory uncertainty and geopolitics remain risks.
• India — a non-AI growth trade: India's domestic consumption, banking and infrastructure sectors offer exposure to growth that is less directly dependent on global AI capital expenditure. Lower oil prices and a weaker US dollar could provide additional support, although valuations remain a constraint.

Diversification should also extend beyond equities:

• Other sectors: Healthcare, utilities, consumer businesses and selected financials can offer different earnings drivers.
• Bonds: High-quality bonds can provide income and potentially cushion portfolios when growth expectations weaken. Persistent inflation, however, remains a risk.
• Gold: Can diversify against currency and policy uncertainty, although forced selling may temporarily overwhelm its defensive characteristics.
• Cash: Provides flexibility and reduces the pressure to sell investments during market stress, although excessive cash holdings carry longer-term opportunity costs.

Importantly, even owning several equity ETFs may not provide sufficient diversification if they have substantial exposure to the same large technology companies.

The goal is to diversify the sources of portfolio returns, not simply increase the number of holdings.

How should investors position their portfolios now?

There is no single answer. The right response depends on what investors already own, their investment horizon and their capacity to withstand further losses.

Your market selloff action plan

What should investors watch next?

Four developments will help determine whether markets can stabilise:

1. AI regulation: Will proposals translate into enforceable restrictions, and which companies would be most affected?
2. AI spending and earnings: Are major technology companies maintaining capital expenditure, and are earnings expectations holding up?
3. Market positioning: Are forced selling, volatility and crowded trades beginning to unwind?
4. Market breadth and credit conditions: Is weakness concentrated in AI or spreading into the broader economy?

A lasting recovery would be more convincing if accompanied by stabilising earnings expectations, easing selling pressure and improving market breadth.

Bottom line: Stay calm, but do not stand still

The selloff is severe, and investors should not dismiss the possibility of further downside.

But it is equally important to recognise that a sharp fall in share prices does not mean the underlying investment opportunity has deteriorated by the same magnitude overnight.

Market sentiment can change much faster than business fundamentals. When leverage and crowded positioning amplify that shift, price movements can become extreme.

For long-term investors, the answer is neither panic selling nor indiscriminate dip-buying.

It is to review concentration, manage liquidity, diversify earnings drivers and selectively take advantage of more attractive valuations.

We do not need to be bearish on AI to be cautious about its valuations. And we do not need to be bearish on equities to recognise that portfolios may need better balance.

The objective is not to predict the next market move. It is to build a portfolio that can withstand it.

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