# AI in fertility care faces trust gap as evidence lags tools

Digest AI · Society & Work · published 2026-09-25T05:38:00Z

Canonical: https://digestai.news/story/ai-in-fertility-care-faces-trust-gap-as-evidence-lags-tools

## Summary

The global fertility rate has dropped from 4.9 children per woman in the 1950s to 2.3 today, with the UK’s rate at 1.39 in England and Wales for 2025. Assisted reproductive technology’s market is projected at $33.4 billion in 2026, while the broader FemTech market—including AI-powered tools—was valued at $45.6 billion in 2025 and is expected to triple by 2033. AI now powers cycle-tracking apps, wearables, at-home tests, and IVF technologies, but a UCL review warns many lack clinical validation before reaching patients.

A 2026 KFF survey found one in three U.S. adults uses AI chatbots for health advice before consulting providers. While AI improves fertility literacy and self-monitoring, researchers caution that many tools enter the market without robust evidence. A study comparing ChatGPT, Gemini, Copilot, and Perplexity on 37 fertility questions found models were reliable on basic topics but inconsistent on IVF and egg freezing. The gap stems from rapidly evolving treatments outpacing model training data. Clinically, AI shows promise in embryo assessment and predicting ovarian response, but real-world validation remains critical before widespread adoption.

## Key points

- AI in fertility tools lacks clinical validation despite growing market: $33.4B for ART in 2026, $45.6B FemTech in 2025
- UCL review warns AI fertility apps may overpromise without evidence, risking patient trust before clinical proof
- AI assists clinicians in IVF workflows—like embryo analysis—better than consumer tools, but real-world testing is needed

## Why it matters

AI’s role in fertility care hinges on trust: tools must prove clinical value before patients rely on them for decisions. Without rigorous validation, overconfidence in AI could lead to misguided treatments, delaying proven medical solutions.

## Sources

1. [AI in Fertility Care: Promise, Evidence and Clinical Reality](https://unite.ai/ai-fertility-care-ivf-healthtech-innovation) (Unite.AI, 2026-09-25)

## Cite

Digest AI, "AI in fertility care faces trust gap as evidence lags tools", 25 September 2026, https://digestai.news/story/ai-in-fertility-care-faces-trust-gap-as-evidence-lags-tools

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