Bold takeaway: even after a volatile year, US shares remain a compelling long‑term opportunity, though the right move depends on your personal situation and risk tolerance. Here’s a friendlier, clearer rewrite that preserves the original meaning, adds context, and stays practical for beginners.
But here’s where it gets controversial... is the AI hype actually making you overweight in a single theme, risking a sharp pullback if sentiment shifts? And this is the part most people miss: diversification and tax considerations matter as much as selecting the next big tech winner.
Should you sell your US shares?
Markets have wavered this year but are finishing the period stronger than they started. A mix of global tech strength and evolving earnings has driven that trend.
At a glance, New Zealand’s market (the NZX50) has risen modestly, while the U.S. broad market (the S&P 500) gained about 14% this year, and the Nasdaq surged around 20%. Individual companies illustrate the range: Nvidia has climbed roughly 36%, Rocket Lab about 150%. Such dispersion shows the pull of big tech but also the risk of concentration.
Some investors worry that an AI downturn could drag down tech stocks and want to sell. RNZ spoke with several advisers to gauge whether selling makes sense.
What the experts say
Mike Taylor, Pie Funds: Stick to your long‑term asset allocation; AI shares may have had a strong year, but that doesn’t justify tilting broadly. If you’re heavily exposed to AI or to volatile names—say, a portfolio dominated by Nvidia and Rocket Lab—you might consider trimming some holdings and redeploying into reasonably valued parts of the market. It’s also worth noting that local markets have lagged the AI rally: NZX is up about 3.5% year to date, and the ASX around 5%.
Rupert Carlyon, Koura Wealth: Always assess fair value. If you don’t see upside, it can be sensible to sell. If you believe a stock remains cheap, you may buy more. A key rule is to monitor concentration: when a single name dominates 20% of your portfolio, trimming can help realize profits and improve diversification. A diversified approach reduces the risk of a big fall wiping out gains.
Dean Anderson, Kernel: Demand for U.S. listed shares remains robust, with many investors buying well‑known large caps and ETFs from brands like Vanguard. There’s also strong local interest in New Zealand stories, such as Rocket Lab. The selling mood isn’t strong; if investors do sell, they should be mindful of capital gains tax implications.
Many investors are still in a “buy the dip” mentality, looking long term rather than reacting to short‑term declines. Trading volumes haven’t slowed noticeably, and selection choices haven’t drastically shifted. Some investors are talking about traditional value plays—think Berkshire Hathaway and large cash piles—as a counterbalance to AI‑growth bets.
Bottom line for beginners
- Align decisions with your goals, time horizon, and risk tolerance rather than chasing a single sector.
- Consider diversification to reduce exposure risk. If one name dominates your portfolio, that’s a signal to rebalance.
- Be mindful of taxes and costs when rebalancing or selling, as these can erode gains over time.
- Keep an eye on valuation and fundamentals, not just headlines about AI or tech‑sector strength.
Questions to consider
- Do you understand how concentrated your portfolio is in AI or tech stocks?
- Could a balanced mix of growth and traditional value investments improve your risk/return profile?
- How would a potential tax hit from selling affect your overall plan?
If you’d like, I can tailor this rewrite to a specific audience (beginners, busy professionals, or seasoned investors) and adjust the level of detail, examples, or local market references. Would you prefer a version aimed at beginners with more step‑by‑step guidance, or a version that speaks to experienced investors with deeper analysis and data points?
