# Foundation Models Expand Beyond Text and Images

The foundation-model paradigm keeps spreading into data types it had not conquered, tables, time series, structured records, steadily displacing task-specific classical methods across enterprise workloads.

- Conviction: 34 / 100 (weakening)
- Horizon: Emerging (watchlist)
- Tracking since: 2026-07-04T00:00:00.000Z
- Last updated: 2026-07-07T14:00:02.329Z
- Canonical: https://polylog.news/ai/trends/foundation-models-beyond-text
- Publisher: Polylog
- Affected regions: Global

## Recent score history

- 2026-07-06: 36
- 2026-07-07: 34

## Recent evidence

- [confirms] Google Research Ships TabFM, a Zero-Shot Foundation Model for Tables (2026-07-04): Google Research shipped TabFM, a zero-shot foundation model for tables trained entirely on synthetic data that predicts on unseen tables in a single forward pass and reportedly beats gradient-boosted trees on dozens of datasets.