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May 15, 2026
First Trust NASDAQ Clean Edge Smart Grid Infrastructure Index Fund (GRID): Key Drivers in Grid Modernization and AI Power Demand

First Trust NASDAQ Clean Edge Smart Grid Infrastructure Index Fund (GRID): Key Drivers in Grid Modernization and AI Power Demand

Key Takeaways

  • Explosive electricity demand from AI data centers and electrification will drive investments in smart grid infrastructure, benefiting GRID's core exposures.
  • Global grid upgrade spending projected at $5.8 trillion through 2035 supports long-term growth for industrials and utilities in the ETF's portfolio.
  • Strong fund inflows exceeding $3 billion year-to-date signal investor confidence in smart grid themes amid energy transition trends.
  • Portfolio concentration in top holdings like ETN and ABB positions GRID for gains from renewable integration and energy storage advancements.
  • Regulatory pushes for grid resilience and policy incentives for clean infrastructure represent key upcoming catalysts.
  • Macro sensitivity to interest rates offers opportunities if rates stabilize, enabling capex expansion in utilities and industrials.

Understanding GRID's Portfolio and Strategy

The First Trust NASDAQ Clean Edge Smart Grid Infrastructure Index Fund (GRID) tracks the NASDAQ Clean Edge Smart Grid Infrastructure Index, targeting companies engaged in electric grid operations, smart meters, networks, energy storage, management systems, and enabling software. In my view, this thematic approach offers focused exposure to the modernization of global power infrastructure, allowing investors to tap into the growth from more efficient and resilient energy networks.

Among the top holdings, Eaton Corporation plc (ETN) stands at 8.60%, followed by ABB Ltd at 8.08%, Johnson Controls International plc (JCI) at 7.55%, Schneider Electric S.E. at 7.27%, and National Grid plc at 7.14%. The top 10 holdings account for 56.44% of assets. Sector weights lean heavily toward industrials (65.15%), utilities (20.41%), and technology (10.97%), blending equipment makers, grid operators, and software providers. With geographic diversity across North America, Europe, and Asia Pacific, and a reasonable 0.56% expense ratio, the fund appeals to those looking for structural tailwinds in the energy transition. Rising demand for grid upgrades should amplify the performance potential here.

Key Catalysts on the Horizon

From what I see, GRID's path forward depends on several critical developments. Surging power needs from AI data centers and electric vehicles (EVs) are putting significant strain on existing grids, pushing utilities to ramp up smart grid investments—U.S. utilities alone are planning $1 trillion in spending over the next decade. The integration of renewable energy calls for advanced storage and transmission solutions, which benefits holdings like PWR (Quanta Services) in the portfolio.

Interest rate paths are also important: stabilizing or falling rates could encourage more capital expenditures on infrastructure, while ongoing inflation might raise costs but highlight the value of efficiency technologies from companies like Schneider Electric. Policy initiatives, such as U.S. incentives for grid resilience and EU green deals, along with index rebalancings, should support further fund flows—already over $3 billion year-to-date—and improve liquidity. Earnings reports from key holdings, linked to growing electrification backlogs, will provide insights into how well these trends are being executed.

Sector and Macroeconomic Perspectives

The smart grid sector benefits from strong macroeconomic tailwinds, including AI-driven power demand and decarbonization efforts, with the market expected to grow at a 17.3% CAGR to $259 billion by 2035. Broader economic growth supports rising electricity consumption, and moderate interest rates facilitate utility borrowing for upgrades. Inflationary pressures tend to favor energy-efficient solutions, helping to offset costs for the underlying assets.

I also checked this using Tickeron’s AI Screener to see how the sector stacks up. The NASDAQ Clean Edge Smart Grid Infrastructure Index draws strength from cycles in industrials and utilities, where modernization tackles aging infrastructure and renewable intermittency. Global equity trends in developed markets, with stability in USD and EUR exposures, align well here. Bond market movements indirectly aid through lower financing costs for capex, setting the index up for potential outperformance if growth continues steadily.

Trend Prediction Engine

Tickeron’s Trend Prediction Engine is an AI-powered forecasting tool that helps traders identify whether a stock, ETF, or other asset may move bullish, bearish, or sideways over the next week or month. It leverages advanced machine learning to spot developing trends, evaluate possible breakouts or reversals, and provide predictions across a wide range of tradable instruments, including ETFs like GRID. The engine offers searchable prediction categories, historical context for pattern recognition, and alert-oriented functionality to notify users of potential shifts. Designed for both short-term trading and trend analysis, it empowers investors to navigate volatile markets with data-driven insights. I’ve found it particularly useful in my own analysis for staying ahead of shifts in themes like this one—explore the Trend Prediction Engine today to enhance your market edge.

Long-Term Outlook and Enduring Trends

One thing that stands out for GRID is its alignment with major secular shifts: the adoption of IoT-enabled grids, urbanization driving higher energy needs, and economic cycles that prioritize infrastructure during recoveries. Smart grid growth, with double-digit CAGRs ahead, is backed by $5.8 trillion in global investments through 2035.

Holdings like ETN and ABB are well-positioned to benefit from interest rate normalization, which could kickstart capex cycles, and broader moves toward energy security. The index's emphasis on pure-play and diversified grid companies provides resilience against deglobalization and onshoring pressures. Structural themes like AI power surges and EV growth make GRID a solid fit for diversified portfolios, and I’m watching this closely as these trends unfold.

Disclaimer

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. Disclaimers and Limitations

Related Ticker: GRID

Contributor

My name is Jimmy, and I’m a financial analyst focused on identifying compelling opportunities across the ETF market. Each day, I analyze hundreds of ETFs to uncover potential trading and investment opportunities using a broad range of market factors. For short-term trading, I rely heavily on technical analysis, including price channels, momentum indicators, support and resistance levels, trend patterns, and other market signals. At the same time, I dedicate significant attention to evaluating ETFs from a long-term investment perspective. My objective is to build a well-balanced ETF portfolio that combines core investment holdings with more tactical and speculative positions. The goal is to create a portfolio that can participate effectively in market rallies while also remaining resilient during periods of volatility and market corrections.


Momentum Indicator for GRID turns positive, indicating new upward trend

GRID saw its Momentum Indicator move above the 0 level on September 28, 2026. This is an indication that the stock could be shifting in to a new upward move. Traders may want to consider buying the stock or buying call options. Tickeron's A.I.dvisor looked at 82 similar instances where the indicator turned positive. In 70 of the 82 cases, the stock moved higher in the following days. The odds of a move higher are at 85%.

Price Prediction Chart

Technical Analysis (Indicators)

Bullish Trend Analysis

The Moving Average Convergence Divergence (MACD) for GRID just turned positive on September 21, 2026. Looking at past instances where GRID's MACD turned positive, the stock continued to rise in 36 of 45 cases over the following month. The odds of a continued upward trend are 80%.

GRID moved above its 50-day moving average on October 02, 2026 date and that indicates a change from a downward trend to an upward trend.

Following a +3.28% 3-day Advance, the price is estimated to grow further. Considering data from situations where GRID advanced for three days, in 297 of 349 cases, the price rose further within the following month. The odds of a continued upward trend are 85%.

GRID may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.

Bearish Trend Analysis

The Stochastic Oscillator entered the overbought zone. Expect a price pull-back in the foreseeable future.

Following a 3-day decline, the stock is projected to fall further. Considering past instances where GRID declined for three days, the price rose further in 50 of 62 cases within the following month. The odds of a continued downward trend are 82%.

The Aroon Indicator for GRID entered a downward trend on September 23, 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.

Notable companies

The most notable companies in this group are NVIDIA Corp (NASDAQ:NVDA), Tesla (NASDAQ:TSLA), Cisco Systems (NASDAQ:CSCO), Oracle Corp (NYSE:ORCL), Texas Instruments (NASDAQ:TXN), International Business Machines Corp (NYSE:IBM), Analog Devices (NASDAQ:ADI), Johnson Controls International plc (NYSE:JCI), Honeywell International (NASDAQ:HON), NXP Semiconductors NV (NASDAQ:NXPI).

Industry description

The investment seeks investment results that correspond generally to the price and yield (before the fund's fees and expenses) of an equity index called the Nasdaq Clean Edge Smart Grid Infrastructure Index TM. The fund will normally invest at least 90% of its net assets (including investment borrowings) in the common stocks and depositary receipts that comprise the index. The index includes companies that are primarily engaged and involved in electric grid, electric meters and devices, networks, energy storage and management, and enabling software used by the smart grid infrastructure sector. The fund is non-diversified.

Market Cap

The average market capitalization across the First Trust Nasdaq Clean Edge Smart GRID Infrastructure Index (GRID) ETF is 199.04B. The market cap for tickers in the group ranges from 1.18B to 5.53T. NVDA holds the highest valuation in this group at 5.53T. The lowest valued company is WLDN at 1.18B.

High and low price notable news

The average weekly price growth across all stocks in the First Trust Nasdaq Clean Edge Smart GRID Infrastructure Index (GRID) ETF was 30%. For the same ETF, the average monthly price growth was 26%, and the average quarterly price growth was 43%. PRIM experienced the highest price growth at 15%, while DGII experienced the biggest fall at -3%.

Volume

The average weekly volume growth across all stocks in the First Trust Nasdaq Clean Edge Smart GRID Infrastructure Index (GRID) ETF was -14%. For the same stocks of the ETF, the average monthly volume growth was -21% and the average quarterly volume growth was -45%

Fundamental Analysis Ratings

The average fundamental analysis ratings, where 1 is best and 100 is worst, are as follows

Valuation Rating: 62
P/E Growth Rating: 47
Price Growth Rating: 49
SMR Rating: 57
Profit Risk Rating: 52
Seasonality Score: 38 (-100 ... +100)
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General Information

Category Industrials

Category
Infrastructure
Address
First Trust Exchange-Traded Fund II12o East Liberty Drive, Suite 400Wheaton
Phone
630-241-4141
Web
www.ftportfolios.com
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First Trust NASDAQ Clean Edge Smart Grid Infrastructure Index Fund (GRID): Key Drivers in Grid Modernization and AI Power Demand