Who Let the Bots Out?: 2026 AI Portfolio Performance Showdown

Can AI effectively manage risk and deliver returns in real-world markets? To answer this question, we have deployed seven of the most advanced AI platforms.

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As artificial intelligence transitions from a conversational tool to a strategic partner, its ability to navigate complex financial markets has become a key area of interest for investors and technologists alike.

Can AI effectively manage risk and deliver returns in real-world markets? To answer this question, we have deployed seven of the most advanced AI platforms such as ChatGPT, Gemini, Copilot, DeepSeek, Perplexity, Meta AI and Grok to act as portfolio managers.

Key takeaways

  • AI portfolios bounced back strongly in August 2026, with most models posting gains after a rough July.
  • Perplexity was the top performer overall, leading both the conservative (7.73%) and aggressive (36.40%) portfolios. Copilot led moderate (9.40%) and DeepSeek led neutral (10.05%).
  • Only two portfolios lost money this month: Grok (-5.96%) and ChatGPT (-1.27%), both in the conservative category.
  • AI portfolios outperformed the benchmarks almost everywhere. The S&P 500 (-2.43%) and S&P/ASX 200 (-3.28%) both fell, while bond and low-volatility benchmarks in the conservative category posted small gains (1.61% and 0.22%).

What is the 2026 AI Portfolio Performance Showdown?

The 2026 AI Portfolio Performance Showdown is a year-long experiment running from January 2026 to December 2026. It is designed to test how different artificial intelligence models make real-world investment decisions over a full market cycle.

The project aims to assess how AI interprets market conditions, balances risk and return and adapts its strategy as economic and market data evolves throughout the year. By tracking decisions over 12 months rather than relying on short-term predictions or hypothetical scenarios, the project provides a more realistic view of AI-driven investment behaviour.

All portfolios are constructed and managed under consistent rules, allowing for direct comparison between models and risk profiles within an Australian market context. The results displayed are updated monthly, with rankings based on total return adjusted for the specific risk parameters of each portfolio profile.

How are the portfolios built and tested over time?

At the start of the project in January 2026, each AI model is asked to construct four separate 10-stock portfolios and assign a percentage weighting to each stock. Each portfolio reflects a different risk appetite commonly seen among Australian investors and is designed to operate within the realities of the local share market.

The four risk profiles are:

  • Conservative, focused on capital preservation and reliable income

  • Moderate, balancing long-term growth with steadier returns

  • Aggressive, targeting higher growth through more volatile sectors and smaller companies

  • Neutral, designed to broadly track overall market performance

Once the initial portfolios are established, the project moves into a monthly review cycle that runs through to December 2026. At each review point, the AI models must decide whether to keep existing stocks unchanged, adjust position sizes to increase or reduce exposure, or replace stocks if they no longer align with the portfolio's objectives. All decisions must remain consistent with the portfolio's original risk profile.

This combined process tests both the quality of each AI model's initial stock selection and its ability to adapt strategy over the course of the year.

How are the results measured and reported?

Portfolio performance is tracked from January 2026 through December 2026 using total return, which includes both price movements and income such as dividends. Results are updated monthly to reflect portfolio changes and market performance over the same period.

Portfolios are ranked within their respective risk categories rather than against all portfolios combined.

At the conclusion of the project in December 2026, the full year of results will provide a complete view of how each AI model performed across different market conditions.

Important: This test covers performance over a relatively short timeframe. Results for individual funds, portfolios or indices during this period may not reflect how they perform over the long term. Past performance is not a reliable indicator of future returns.

Monthly Leaderboard: August

Which AI model is navigating the market most effectively? This leaderboard ranks AI models based on the performance of their portfolios over the month. Results are calculated using the percentage return generated by each portfolio, providing a clear comparison of how each model's investment strategy has performed.

Conservative

August 2026 was a mixed month for conservative AI portfolios, with gains and losses split across the field.

Copilot was the standout performer, surging 6.01% to lead all conservative portfolios. DeepSeek also performed strongly, returning 4.47%, while Meta AI added 2.46%. Gemini posted a modest gain of 0.11%. On the downside, ChatGPT recorded the steepest decline at -3.33%, followed by Grok at -3.21%, and Perplexity slipped -0.30%.

The benchmark portfolios posted gains this period, with the iShares Core U.S. Aggregate Bond ETF returning 1.61% and the S&P 500 Low Volatility Index adding 0.22%.

Moderate

August 2026 was a strong month for moderate AI portfolios, with every model posting gains.

DeepSeek was the standout performer, surging 8.38% to lead the field. Grok followed with a solid 5.86% gain, while Copilot added 5.70%. Perplexity continued its positive run with a 5.24% return, and Gemini posted a 2.67% gain. Meta AI returned 2.56%, and ChatGPT added a modest 2.06%.

The benchmark portfolios both declined this period, with the S&P 500 falling -2.43% and the S&P/ASX 200 dropping -3.28%.

Aggressive

August 2026 delivered a positive month for aggressive AI portfolios, with every model posting gains.

Perplexity was the standout performer, surging 13.05% to lead all aggressive portfolios, a dramatic reversal after its -16.06% decline in July. Copilot followed with a strong 11.14% gain. Gemini added 5.85%, also rebounding from July's -7.38% slide, while ChatGPT rose 5.54%. DeepSeek returned 4.36%, and Meta AI and Grok posted more modest gains of 1.20% and 1.02% respectively.

The benchmarks posted more modest gains by comparison, with the Russell 2000 rising 2.30% and the Vanguard MSCI Index International Shares ETF adding 0.92%, though Meta AI and Grok fell short of the Russell 2000.

Neutral

August 2026 brought a strong result for neutral AI portfolios, with every model outperforming both benchmarks.

DeepSeek led the field by a wide margin, surging 10.05% after being the weakest performer in July at -2.24%. Grok followed with a solid 5.53% gain, and Meta AI added 4.98%, both rebounding from slightly negative results the prior month. Gemini returned 4.54% and Copilot gained 3.97%, while ChatGPT posted a more modest 1.94% after leading the field in July. Perplexity was the weakest performer, essentially flat at 0.02%.

The S&P 500 declined -2.43% and the S&P/ASX 200 fell -3.28% for the period, with every AI portfolio in the neutral category outperforming both benchmarks.

 

What stocks did each AI model choose?

The AI models were asked to build a 10-stock portfolio in January 2026. The portfolios are reviewed monthly, giving each model the opportunity to add or remove stocks and adjust portfolio weightings based on its assessment of current market conditions.

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Written by

Insights Analyst

William Capada is an insights analyst at Finder. With years of experience as an analyst, he has honed his skills in analysing complex datasets and extracting actionable insights. Proficient in various analytical tools, he has a proven track record of delivering meaningful insights that drive strategic decision-making. William conducts research related to economic data and is also responsible for updating the insights statistics pages. He also assists in ensuring that the scoring makes sense for the Finder Retail Awards. See full bio

William's expertise
William has written 5 Finder guides across topics including:
  • Data Analysis
  • Data Visualization
  • Retail Awards

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