Is the evolving set of artificial intelligence (AI) platforms based on large language models interesting as asset class allocation advisors? Are they monolithic, or diverse? As a simple exploration, we pose to each of Grok, ChatGPT, Claude, Perplexity and Gemini the following two prompts regarding the 12 asset class exchange-traded funds (ETF) considered in the Simple Asset Class ETF Value Strategy (SACEVS) and the Simple Asset Class ETF Momentum Strategy (SACEMS):
- Using all training and real-time data available to you, please provide your unique view on whether investing in each of the following ETFs is favorable, neutral or unfavorable for the balance of 2026: SPY, IWM, QQQ, EFA, EEM, TLT, LQD, BIL, EMB, VNQ, GLD and DBC. Do not provide any explanations.
- Which three of your ETFs with favorable views work best together as a diversified set?
We then compare and contrast results from AI panel members. Using responses to the two prompts as posed in late May 2026, we find that:
Subscribe to Keep Reading
Get the research edge serious investors rely on.
- 1,200+ research articles
- Monthly strategy signals
- 20+ years of backtested analysis
$17.99
/month
Cancel anytime