Evidence · strength 0 of 5 · searched to 2 Nov 2026

Does AI business advice help small businesses?

Not enough evidence yet to say whether AI business advice helps small businesses.

What a field experiment with small-business owners found when they got advice from an AI assistant: no average gain, and a split between strong and weak firms.

The studies How sure are we?

VerdictNot enough evidence yet

No good evidence

ImpactNot shown

We show no impact figure until at least two studies qualify.

Evidence strength0 of 5

There is not enough evidence to rate this yet.

Cost per user a year$

The trial used a GPT-4 assistant on WhatsApp; general AI assistants have free tiers.

Pilot rating under our v0.3 rules. The rules are published on our method page but not yet independently reviewed, so ratings may change as the method is checked and new studies arrive. Our method.

What the studies found

No impact figure yet. Fewer than two studies qualify, so under our rules we do not show how big the effect is. The studies we found are listed below, with what each measured.

How sure are we?

Starting level0 of 5, from 1 qualifying study: fewer than 2.
Result0 of 5. There is not enough evidence to rate this yet.

Behind the average

Low performers at baseline (below median) (Otis et al. (2026)): -0.08 SD (95% CI -0.13 to -0.03), about 9-10% lower revenue.
High performers at baseline (above median) (Otis et al. (2026)): +0.16 SD (95% CI -0.02 to 0.33, p = 0.07), about 15-18% higher revenue; gap to low performers 0.23 SD in the preprint.

How, where and why it works

Why it works

2 of 4. Owners who were already doing well appear to pick better advice to act on; weaker ones may act on poorer advice.

For whom and where

2 of 4. Results split by how well the business was doing before.

What it takes

1 of 4. Owners chose how and when to use the assistant.

The full cost

0 of 4. Costs are not reported.

Four separate scores from 0 to 4, never added up: how much the studies tell us about why it works, for whom, what it takes and what it really costs (the EMMIE method).

What to do next

Measure your pilot →

If you are trying it yourself

Check AI advice against someone who knows your market.
Try one change at a time and measure the result.

If you are rolling it out

Programmes for small firms should pair AI with human mentoring and track results by firm type.

What it takes

Advice is only as good as the owner's ability to judge it.

What can go wrong

Weaker businesses did worse with AI advice in the one trial: about 9–10% lower revenue.

The studies

Study	Grade	Design	People	AI model (released)	Company role
The Uneven Impact of Generative Artificial Intelligence on Entrepreneurial Performance: Evidence from a Field Experiment in Kenya Nicholas G. Otis, Rowan Clarke, Solène Delecourt, David Holtz, Rembrand Koning, 2026. Management Science (journal)	B	field RCT, deployed work	640 Kenyan small-business owners (half treated); 18 attrited	GPT-4 business assistant on WhatsApp (Mar 2023)	none

Grades: A, a well-run randomised trial in real work; B, a strong natural experiment in real work or a well-run trial on realistic tasks; C, a trial with clear limits or a matched comparison; D, before-and-after, surveys or case studies. How studies are graded.

Studies we found but do not count

Beyond Black Boxes: Designing and Testing Agentic AI Systems for Strategy (Camuffo et al. (2026), grade D). The second checker could not open the paper.
Artificial Intelligence and Strategic Decision-Making: Evidence from Entrepreneurs and Investors (Csaszar et al. (2024), grade D). Compares AI-written plans with entrepreneurs' plans; nobody worked with the AI (section 4, rule 1).
How Can Teams Benefit From AI Team Members? Exploring the Effect of Generative AI on Decision-Making Processes and Decision Quality in Team-AI Collaboration (Zercher et al. (2025), grade D). Not work: students role-playing a hiring decision, with a scripted AI. Shown as context, not counted (section 4, rule 1).

These studies are real and often cited, but they fall outside our rules for this rating. What counts as a study.

Does the rating hold up?

Run without company-run studiesNo change: no such studies.
Run without working papers and preprintsNo change: no such studies.

How up to date is this evidence?

Method →

Evidence searched to 2 Nov 2026. Studies cover models released Mar 2023 to Mar 2023. Rating computed 5 Nov 2026 under Module 15 v0.3 (pilot).

How this page was made: AI research agents searched for studies and read each paper; a second pass checked every number on this page against the paper itself, with the quote and where it appears. The rating is computed by fixed rules, not chosen. No person outside AI Adoption has reviewed it yet. Editorial owner: AI Adoption editors. Spot a mistake? Corrections.

Disclosure: AI Adoption uses AI tools, including Claude from Anthropic, in its research and editorial work. No company pays for or has any say in a rating.