The VGT ETF aims to track the MSCI US Investable Market Information Technology 25/50 Index, which includes large-, mid-, and small-cap U.S. companies in the information technology sector according to the Global Industry Classification Standard (GICS). This covers areas like software and services, technology hardware and equipment, and semiconductors/semiconductor equipment, with 25/50 weight constraints to encourage diversification for regulated investment companies.
In practice, VGT holds 318 stocks and uses a full-replication strategy, investing all or substantially all of its assets in the index components in proportion to their weightings. It only resorts to sampling if regulatory limits come into play. The expense ratio is a competitive 0.09%, and the turnover rate was 7.8% as of the fiscal year-end on August 31, 2025. The fund rebalances quarterly, in line with the index reviews held in February, May, August, and November.
From what I see, the top 10 holdings account for about 59% of assets: NVDA (18.1%), AAPL (15.8%), MSFT (10.4%), AVGO (4.3%), MU (2.4%), AMD (1.7%), CSCO (1.6%), PLTR (1.6%), AMAT (1.5%), and LRCX (1.5%). Subsector weights highlight semiconductors at 34.2%, technology hardware/storage at 18.8%, systems software at 14.9%, and application software at 11.2%. This setup provides concentrated, passive exposure to U.S. tech in a non-diversified package.
One thing that stands out is how the information technology sector continues to drive digital transformation with its software, hardware, and semiconductors, all critical for cloud computing, data centers, and emerging technologies. In my view, the structural growth comes from rising demand for AI infrastructure, where global semiconductor sales are projected to reach $975 billion in 2026, with AI chips alone approaching $500 billion in revenue. Hyperscalers' capital expenditures, which could top $500 billion annually, are pushing investments into GPUs, high-bandwidth memory, and advanced packaging as data centers expand.
Macro tailwinds like easing interest rates help support tech valuations, and capital is flowing into AI enablers, as seen in strong ETF inflows to semiconductors. That said, regulatory hurdles—such as U.S. export controls on advanced chips, antitrust attention on megacaps, and EU AI Act compliance costs—add layers of risk. Geopolitical tensions heighten supply chain issues, especially around Taiwan's foundries. Other sector challenges include rapid obsolescence, fierce competition, and cyclical swings linked to enterprise spending.
Over recent market cycles, VGT has mirrored the tech sector's ups and downs, delivering strong gains through early 2026 on AI momentum and solid earnings from semiconductor and cloud leaders. The semiconductor push, fueled by AI data center buildouts, drove outperformance even as investors rotated toward growth stocks. More recently, though, we've seen pullbacks in trading sessions due to profit-taking and wider market volatility, including YTD declines tied to higher rate expectations and geopolitical developments. The fund's emphasis on megacaps like NVDA and MSFT makes it particularly responsive to AI catalysts, while exposure to mid- and small-caps adds some balance during earnings periods.
I regularly use Tickeron’s AI Screener in my own research—it's an AI-powered tool for discovering stocks and ETFs by filtering on technical patterns, fundamentals, trends, volatility, and AI signals. It lets you scan thousands of assets with customizable criteria like industry, market cap, technical indicators, price patterns, and performance metrics. This helps pinpoint trade ideas, trending names, breakouts, and opportunities far more efficiently than manual methods, supporting data-driven choices across markets. In my experience, it's especially useful for spotting potential plays in tech, and I also checked this using Tickeron’s AI Screener to see how VGT stacks up against peers.
I'm watching 2026 closely, as the tech sector's path will depend on AI's evolution, with semiconductor sales aiming for $975 billion on generative AI chip demand nearing $500 billion. Key supports include hyperscaler capex cycles around $500 billion, benefiting leaders like NVDA and AVGO via GPUs and custom accelerators. Growth should persist from cloud adoption, edge AI, data center builds—including projects like U.S. Stargate—and applications in automotive and industrial areas.
Still, risks persist: economic slowdowns could trim enterprise tech budgets, inflation might lead to tighter policy, and supply chains face pressures in high-bandwidth memory and advanced nodes. Policy changes like trade tariffs, export curbs, and AI rules on privacy and ethics could create headwinds. Megacap earnings will be under the microscope for capex efficiency amid margin squeezes, and any shift to value stocks might test growth valuations.
VGT's 0.09% expense ratio and multi-cap blend make it a strong contender versus peers like XLK, but I think it's worth tracking quarterly rebalances for weight changes, subsector spreads (like semis versus software), and inflows to AI infrastructure plays. For balanced exposure, pairing it with broader indices can help manage concentration.
The information on this webpage is provided for general informational and educational purposes only and is not intended as investment advice, a recommendation to purchase or sell any security, or an offer or solicitation related to investments. It does not consider your personal financial situation, goals, or risk profile, and all investing carries inherent risks, including the possibility of losing your entire investment. For more details, please review our full disclaimer.
VGT may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options. In of 40 cases where VGT's price broke its lower Bollinger Band, its price rose further in the following month. The odds of a continued upward trend are .
The Momentum Indicator moved above the 0 level on April 06, 2026. You may want to consider a long position or call options on VGT as a result. In of 84 past instances where the momentum indicator moved above 0, the stock continued to climb. The odds of a continued upward trend are .
The Moving Average Convergence Divergence (MACD) for VGT just turned positive on April 06, 2026. Looking at past instances where VGT's MACD turned positive, the stock continued to rise in of 51 cases over the following month. The odds of a continued upward trend are .
VGT moved above its 50-day moving average on April 08, 2026 date and that indicates a change from a downward trend to an upward trend.
The 10-day moving average for VGT crossed bullishly above the 50-day moving average on April 14, 2026. This indicates that the trend has shifted higher and could be considered a buy signal. In of 15 past instances when the 10-day crossed above the 50-day, the stock continued to move higher over the following month. The odds of a continued upward trend are .
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where VGT advanced for three days, in of 386 cases, the price rose further within the following month. The odds of a continued upward trend are .
The RSI Indicator has been in the overbought zone for 1 day. Expect a price pull-back in the near future.
The Stochastic Oscillator demonstrated that the ticker has stayed in the overbought zone for 6 days. The longer the ticker stays in the overbought zone, the sooner a price pull-back is expected.
The 50-day moving average for VGT moved below the 200-day moving average on April 08, 2026. This could be a long-term bearish signal for the stock as the stock shifts to an downward trend.
Following a 3-day decline, the stock is projected to fall further. Considering past instances where VGT declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
The Aroon Indicator for VGT entered a downward trend on April 02, 2026. This could indicate a strong downward move is ahead for the stock. Traders may want to consider selling the stock or buying put options.
The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows
Category Technology