Artificial Intelligence

The Artificial Intelligence Portfolio is a basket of US-listed companies working on AI. That covers semiconductor and chip companies, cloud and data infrastructure providers, software platforms, and established businesses building AI into what they sell. Instead of picking one or two AI stocks and guessing how much to put into each, you invest once and hold a spread of companies across the AI supply chain. Vested’s research team decides which companies go in and how much weight each one gets. You can see the full list of holdings and their weights once you sign up.

This portfolio may suit you if you want exposure to AI as a long-term theme rather than a bet on a single company, and you can stay invested through years when the sector falls. It is built for a multi-year horizon, not for money you need back in a year or two. It is less suitable if you want steady, predictable value, since AI is one of the more volatile parts of the US market. Investors looking for a calmer core holding usually start with the Global Multi-Asset Portfolios instead and add a theme like this on top.

Yes. Resident Indians can invest in the Artificial Intelligence Portfolio through Vested under the RBI’s Liberalised Remittance Scheme (LRS), which currently allows you to remit up to USD 250,000 per financial year for overseas investments. You open a US investment account through Vested, complete a one-time KYC, and transfer money from your Indian bank account. The shares and ETFs are held in your own account in your name, not pooled in a fund, and you can sell and bring the money back to India whenever you want. Gains are taxable in India depending on how long you hold, so factor that into your planning.

Vested reviews every Managed Portfolio, including Artificial Intelligence, once a quarter. A review does not automatically lead to a rebalance. The portfolio is only changed if the research team concludes that the existing allocation no longer makes sense, for example when a company no longer fits the theme or when the weights have drifted away from what was intended. Managed Portfolios are non-discretionary, which means nothing is bought or sold in your account on its own. You are notified when a change is recommended and you decide whether to approve it. There are no brokerage or transaction charges on rebalancing trades.

Because picking AI stocks on your own means choosing between chipmakers, cloud providers and software companies, then tracking whether each one is still ahead. A Managed Portfolio does that groundwork for you: Vested’s research team decides which companies go in, how much weight each one gets, and when something should change. You still own the actual shares and ETFs in your own US account, so you can see exactly what you hold, and this is not a fund unit. It also helps with a problem most people run into on their own, which is quietly ending up with far too much money in one stock. You pay an annual advisory fee on the amount you invest, with no purchase fee, no brokerage on rebalancing trades and no exit load. None of this stops you buying individual US stocks on Vested as well, if you want to do both.

AI stocks often trade at high valuations, so they can fall when expectations shift, even when the underlying businesses are still doing well. The technology also moves fast, and a company that leads today can lose its position within a few years. Because the portfolio is built around one theme, it moves with technology as a whole rather than offsetting it. Other things to watch: changing rules around AI and data, competition squeezing margins, and the very large spending on AI infrastructure that may take years to earn a return. Vested tags this portfolio as high risk. Because the holdings are priced in US dollars, your returns in rupees also depend on how the rupee moves against the dollar over the period you stay invested.

There are five steps. First, sign up on Vested and complete your KYC, a one-time process to open your US investment account. Second, add money by remitting from your Indian bank account under the LRS route. Third, open the Artificial Intelligence Portfolio and read through its holdings, risk tag and fee before you commit. Fourth, invest the amount you want. You can start small and add to it over time, and there is no lock-in. Fifth, review it periodically and approve or decline any rebalancing recommendation you are sent. You can withdraw at any time without an exit load.

Nobody can tell you where AI stocks go from here, and you should be wary of anyone who says they can. What can be said is that most AI spending so far has gone into infrastructure such as chips, data centres and cloud capacity, and the profits companies eventually earn on that spending are still being tested. Valuations in the sector are high, which leaves less room for disappointment. If you do invest, two things reduce timing risk: use money you can leave untouched for several years, and stagger your investment over a few months rather than putting it all in on one day. If a sharp fall would force you to sell, the position is too large for you.

The clearest beneficiaries so far sit upstream. Semiconductor companies and the firms that make chip-manufacturing equipment supply the hardware AI runs on. Cloud and data centre businesses provide the computing capacity, which in turn pulls in power, cooling and networking suppliers. Enterprise software companies are building AI into products customers already pay for. Further out, healthcare uses it in drug discovery and diagnostics, financial services in fraud detection and underwriting, and manufacturing and logistics in automation and planning. The Artificial Intelligence Portfolio is weighted mainly towards the infrastructure and software layers rather than the industries adopting AI.