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

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.

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.

Monthly Leaderboard: February

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

Meta AI was the strongest performer among the AI portfolios, generating a return of about 4.9% for February.

Other AI models, including ChatGPT, Gemini, DeepSeek, and Perplexity, had negative returns, while Copilot and Grok posted modest gains of around 0.6%.

The benchmark portfolios outperformed the conservative AI portfolios in February. S&P 500 Low Volatility Index returned about 5.3%, slightly ahead of Meta AI while iShares Core US Aggregate Bond ETF returned about 1.7%.

Moderate

Copilot was the strongest performer in the moderate risk AI portfolios for February, generating a return of about 4.2%.
All other AI models, including ChatGPT, Gemini, DeepSeek, Perplexity, Meta AI, and Grok, experienced negative returns ranging from roughly -4.1% to -11.2%, showing continued volatility among AI portfolios.

Among broader market benchmarks, the S&P/ASX 200 returned about 4.8%, outperforming all AI portfolios. The S&P 500 returned around -1.4% for the month.

Aggressive

DeepSeek was the worst-performing AI portfolio in February 2026, falling 17.24%, while Grok led the group with a gain of 2.98%.

All other AI portfolios recorded losses for the month, including ChatGPT at -9.66%, Gemini at -11.82%, Copilot at -8.51%, Meta AI at -6.73% and Perplexity at -1.5%, while the benchmark portfolios, Vanguard MSCI International Shares ETF slipped 0.83% and Russell 2000 decreased -0.3%.

Neutral

DeepSeek recorded the largest fall in February 2026 after heavy exposure to high-volatility tech stocks amplified market losses during a pullback in growth. The portfolio’s lack of diversification also meant declines in a few major holdings had an outsized impact on overall performance. while Grok was the strongest performer with a gain of 3.13% and Copilot rose 1.82%.

Most other AI portfolios recorded losses for the month, including ChatGPT at -4.87%, Gemini at -4.52%, Perplexity at -4.31% and Meta AI at -5.56%.

The benchmark S&P/ASX 200 rose 4.78% in February, outperforming all neutral AI portfolios. Over the same period, the S&P 500 fell 1.4%.

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.

• ChatGPT

  • Conservative
  • Moderate
  • Aggressive
  • Neutral

• Gemini Portfolio

  • Conservative
  • Moderate
  • Aggressive
  • Neutral

• Copilot Portfolio

  • Conservative
  • Moderate
  • Aggressive
  • Neutral

• DeepSeek Portfolio

  • Conservative
  • Moderate
  • Aggressive
  • Neutral

• Perplexity Portfolio

  • Conservative
  • Moderate
  • Aggressive
  • Neutral

• MetaAI Portfolio

  • Conservative
  • Moderate
  • Aggressive
  • Neutral

• Grok Portfolio

  • Conservative
  • Moderate
  • Aggressive
  • Neutral

Written by

William Capada

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 4 Finder guides across topics including:

• Data Analysis
• Data Visualization
• Retail Awards