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AI-Built Retirement Portfolio Targets $2,000 Monthly Dividends With $300K Investment

MarketDash Editorial Team
6 hours ago
A 58-year-old investor turned to ChatGPT to design a dividend portfolio aimed at generating $2,000 per month from a $300,000 investment. Here's a breakdown of the six income-focused holdings the AI recommended for retirement supplementation.

When you're staring down retirement and need your portfolio to start paying the bills, dividend investing suddenly gets a lot more interesting. With inflation still eating away at purchasing power and market volatility keeping everyone on edge, more investors are hunting for stocks that actually send cash their way each quarter.

Earlier this year, a 58-year-old investor shared something fascinating on Reddit: he'd enlisted ChatGPT to build him a dividend portfolio designed to throw off about $2,000 per month from a $300,000 taxable account. Not just any portfolio either—one specifically calibrated for high yield while trying to keep the principal intact.

"I've been using and abusing ChatGPT 3o model for a while and after a bunch of back and forth, settled on this mix for a $300,000 taxable account," the Redditor explained. "I'm 58, retiring in next few months, and this will only supplement my pension and other passives until my Roth can pitch in."

So what did the AI suggest? Let's walk through the six core holdings that made the cut.

Altria Group (MO)

Altria Group topped the list, and it's not hard to see why ChatGPT liked it. The tobacco giant has raised its dividend for 56 consecutive years—that's Dividend Aristocrat territory with a vengeance. According to the investor, the AI pointed to Altria's impressive track record of dividend growth and its tendency to hold steady when markets get choppy. The stock currently yields over 7% and has climbed about 12% year-to-date. Yes, it's tobacco, and yes, that comes with long-term headwinds, but for someone chasing yield right now, that 7% is hard to ignore.

Enbridge (ENB)

Canadian energy infrastructure company Enbridge brings a dividend yield of roughly 5.8% to the table. The company has notched 31 straight years of dividend increases, which speaks to the stability of its pipeline and utility businesses. Earlier this month, Enbridge reaffirmed its 2025 EBITDA guidance, signaling that management feels confident about the year ahead. Energy infrastructure tends to offer relatively predictable cash flows, which makes sense for someone building an income stream.

Enterprise Products Partners (EPD)

Enterprise Products Partners is another energy infrastructure play, but with a twist: it's structured as a master limited partnership. ChatGPT apparently appreciated the tax-deferred nature of MLP distributions, which can reduce current tax liability compared to regular dividends. The stock yields about 6.8% and has a solid history of growing its distributions. Worth noting: JPMorgan recently downgraded the stock to Neutral from Overweight, citing slower EBITDA growth compared to peers, so not everyone's as enthusiastic as the AI was.

NEOS Nasdaq-100 High Income ETF (QQQI)

Here's where things get a bit more creative. The NEOS Nasdaq-100 High Income ETF gives investors exposure to Nasdaq 100 companies while juicing up the income by selling covered call options on the index. It's a way to grab some growth exposure while generating premium income from options strategies. The tradeoff? You're capping your upside in exchange for that extra yield. For someone prioritizing income over capital appreciation, that's a reasonable swap.

The Virtus InfraCap US Preferred Stock ETF (PFFA)

The Virtus InfraCap US Preferred Stock ETF focuses on preferred stocks issued by U.S. companies. Preferred shares typically sit between bonds and common stock in the capital structure, offering fixed dividends that can be quite generous. This fund yields more than 9%, which is eye-catching but comes with its own set of risks, including interest rate sensitivity and lower liquidity than common stocks.

Schwab U.S. Dividend Equity ETF (SCHD)

Finally, there's Schwab U.S. Dividend Equity ETF, which tracks the Dow Jones U.S. Dividend 100 Index. This is essentially a basket of America's most reliable dividend payers, including names like Merck & Co. (MRK), Cisco Systems (CSCO), Amgen (AMGN), and Coca-Cola (KO). SCHD has become something of a darling among dividend investors for its focus on quality companies with sustainable payouts and reasonable valuations.

Whether you think using AI to build your retirement portfolio is brilliant or slightly concerning probably depends on your comfort level with both technology and risk. What's clear is that this investor had a specific goal—generate meaningful monthly income without taking wild risks—and used ChatGPT as a research tool to get there. The mix of individual dividend stocks, MLPs, and income-focused ETFs suggests a strategy built around diversification and yield, which makes sense for someone about to leave the workforce. Just remember: high yields often come with higher risks, and no AI can predict the future any better than the rest of us.

Back to News

AI-Built Retirement Portfolio Targets $2,000 Monthly Dividends With $300K Investment

MarketDash Editorial Team
6 hours ago
A 58-year-old investor turned to ChatGPT to design a dividend portfolio aimed at generating $2,000 per month from a $300,000 investment. Here's a breakdown of the six income-focused holdings the AI recommended for retirement supplementation.

When you're staring down retirement and need your portfolio to start paying the bills, dividend investing suddenly gets a lot more interesting. With inflation still eating away at purchasing power and market volatility keeping everyone on edge, more investors are hunting for stocks that actually send cash their way each quarter.

Earlier this year, a 58-year-old investor shared something fascinating on Reddit: he'd enlisted ChatGPT to build him a dividend portfolio designed to throw off about $2,000 per month from a $300,000 taxable account. Not just any portfolio either—one specifically calibrated for high yield while trying to keep the principal intact.

"I've been using and abusing ChatGPT 3o model for a while and after a bunch of back and forth, settled on this mix for a $300,000 taxable account," the Redditor explained. "I'm 58, retiring in next few months, and this will only supplement my pension and other passives until my Roth can pitch in."

So what did the AI suggest? Let's walk through the six core holdings that made the cut.

Altria Group (MO)

Altria Group topped the list, and it's not hard to see why ChatGPT liked it. The tobacco giant has raised its dividend for 56 consecutive years—that's Dividend Aristocrat territory with a vengeance. According to the investor, the AI pointed to Altria's impressive track record of dividend growth and its tendency to hold steady when markets get choppy. The stock currently yields over 7% and has climbed about 12% year-to-date. Yes, it's tobacco, and yes, that comes with long-term headwinds, but for someone chasing yield right now, that 7% is hard to ignore.

Enbridge (ENB)

Canadian energy infrastructure company Enbridge brings a dividend yield of roughly 5.8% to the table. The company has notched 31 straight years of dividend increases, which speaks to the stability of its pipeline and utility businesses. Earlier this month, Enbridge reaffirmed its 2025 EBITDA guidance, signaling that management feels confident about the year ahead. Energy infrastructure tends to offer relatively predictable cash flows, which makes sense for someone building an income stream.

Enterprise Products Partners (EPD)

Enterprise Products Partners is another energy infrastructure play, but with a twist: it's structured as a master limited partnership. ChatGPT apparently appreciated the tax-deferred nature of MLP distributions, which can reduce current tax liability compared to regular dividends. The stock yields about 6.8% and has a solid history of growing its distributions. Worth noting: JPMorgan recently downgraded the stock to Neutral from Overweight, citing slower EBITDA growth compared to peers, so not everyone's as enthusiastic as the AI was.

NEOS Nasdaq-100 High Income ETF (QQQI)

Here's where things get a bit more creative. The NEOS Nasdaq-100 High Income ETF gives investors exposure to Nasdaq 100 companies while juicing up the income by selling covered call options on the index. It's a way to grab some growth exposure while generating premium income from options strategies. The tradeoff? You're capping your upside in exchange for that extra yield. For someone prioritizing income over capital appreciation, that's a reasonable swap.

The Virtus InfraCap US Preferred Stock ETF (PFFA)

The Virtus InfraCap US Preferred Stock ETF focuses on preferred stocks issued by U.S. companies. Preferred shares typically sit between bonds and common stock in the capital structure, offering fixed dividends that can be quite generous. This fund yields more than 9%, which is eye-catching but comes with its own set of risks, including interest rate sensitivity and lower liquidity than common stocks.

Schwab U.S. Dividend Equity ETF (SCHD)

Finally, there's Schwab U.S. Dividend Equity ETF, which tracks the Dow Jones U.S. Dividend 100 Index. This is essentially a basket of America's most reliable dividend payers, including names like Merck & Co. (MRK), Cisco Systems (CSCO), Amgen (AMGN), and Coca-Cola (KO). SCHD has become something of a darling among dividend investors for its focus on quality companies with sustainable payouts and reasonable valuations.

Whether you think using AI to build your retirement portfolio is brilliant or slightly concerning probably depends on your comfort level with both technology and risk. What's clear is that this investor had a specific goal—generate meaningful monthly income without taking wild risks—and used ChatGPT as a research tool to get there. The mix of individual dividend stocks, MLPs, and income-focused ETFs suggests a strategy built around diversification and yield, which makes sense for someone about to leave the workforce. Just remember: high yields often come with higher risks, and no AI can predict the future any better than the rest of us.