Indiana AI Statistics
Business AI adoption in Indiana, its trajectory over time, and the platforms shaping this state profile.
Business adoption over time
Share of employer businesses · revised AI question, November 2025 onward
Indiana’s latest reported current-use rate is 3.3 percentage points below the national estimate of 23.8%. This is a descriptive comparison of survey estimates.
Coding tool scores
Score / 100Platform scores · Indiana
Chat platform scores
Score / 100Platform scores · Indiana
Indiana and the national benchmark
Same reference period · Sep 7, 2026–Sep 20, 2026
Census estimates are weighted survey measures of employer businesses. Different industry mixes and sampling error can affect comparisons.
Other Midwest states
Closest recent averages · descriptive comparison
Average of available observations in the same six-period window. Coverage may differ.
AI use at Indiana organizations
Selected companies headquartered in this state · public statements and reported use · reviewed October 11, 2026
| Company / headquarters | Named platforms / tools | Public AI comments & evidence | Sources |
|---|---|---|---|
| Elanco Indianapolis | Microsoft Security Copilot; Azure OpenAI Service | Employee / security deployment Jun 6, 2025 Elanco executives describe thousands of daily users of Azure OpenAI models and Security Copilot supporting security analysis and remediation. Vendor case study with company comments; the headquarters moved to Indianapolis in October 2025. | Headquarters source ↗Microsoft · Elanco case study ↗ |
Comments are paraphrased. Employee deployment, product integrations, pilots, and hiring statements have different scopes. A headquarters location does not locate every employee or prove state-wide tool popularity. Unnamed providers remain undisclosed. This is a selected evidence sample, not an exhaustive company census.
Browse company evidence across all 50 states ↗ · Download research data ↓
Behind the figures
Current-use question: “In the last two weeks, did this business use Artificial Intelligence (AI) in any of its business functions?”
The recent average is the arithmetic mean of available current-use estimates for the last six periods, Jun 29, 2026–Sep 20, 2026. It is calculated from the source workbook and is not an official Census aggregate. Standard errors are published Census values. The AI question broadened in November 2025, so the chart starts with the revised series.
View all 23 source observations
| Reference period | Current use | Expected use | Release date |
|---|---|---|---|
| Sep 7, 2026 – Sep 20, 2026 | 20.5% | 23.9% | Oct 8, 2026 |
| Aug 24, 2026 – Sep 6, 2026 | 19.4% | 24.3% | Sep 24, 2026 |
| Aug 10, 2026 – Aug 23, 2026 | 18.4% | 22.8% | Sep 10, 2026 |
| Jul 27, 2026 – Aug 9, 2026 | 18.1% | 21.7% | Aug 27, 2026 |
| Jul 13, 2026 – Jul 26, 2026 | 22.2% | 27.3% | Aug 13, 2026 |
| Jun 29, 2026 – Jul 12, 2026 | 22.3% | 25.6% | Jul 30, 2026 |
| Jun 15, 2026 – Jun 28, 2026 | 20.9% | 22.0% | Jul 16, 2026 |
| Jun 1, 2026 – Jun 14, 2026 | 22.7% | 25.4% | Jul 2, 2026 |
| May 18, 2026 – May 31, 2026 | 17.3% | 21.6% | Jun 18, 2026 |
| May 4, 2026 – May 17, 2026 | 17.2% | 21.2% | Jun 4, 2026 |
| Apr 20, 2026 – May 3, 2026 | 18.5% | 21.4% | May 21, 2026 |
| Apr 6, 2026 – Apr 19, 2026 | 19.7% | 22.8% | May 7, 2026 |
| Mar 23, 2026 – Apr 5, 2026 | 20.0% | 22.4% | Apr 23, 2026 |
| Mar 9, 2026 – Mar 22, 2026 | 19.7% | 22.3% | Apr 9, 2026 |
| Feb 23, 2026 – Mar 8, 2026 | 13.9% | 17.7% | Mar 26, 2026 |
| Feb 9, 2026 – Feb 22, 2026 | 15.4% | 18.9% | Mar 12, 2026 |
| Jan 26, 2026 – Feb 8, 2026 | 18.3% | 26.3% | Feb 26, 2026 |
| Jan 12, 2026 – Jan 25, 2026 | 18.9% | 20.3% | Feb 12, 2026 |
| Dec 29, 2025 – Jan 11, 2026 | 18.8% | 21.7% | Jan 29, 2026 |
| Dec 15, 2025 – Dec 28, 2025 | 19.3% | 23.6% | Jan 15, 2026 |
| Dec 1, 2025 – Dec 14, 2025 | 14.3% | 14.9% | Dec 31, 2025 |
| Nov 17, 2025 – Nov 30, 2025 | 17.5% | 17.9% | Dec 18, 2025 |
| Nov 3, 2025 – Nov 16, 2025 | 18.9% | 20.8% | Dec 4, 2025 |
Sources & data
Official workbook snapshot downloaded October 11, 2026 · Release October 8, 2026
Platform scores are separate from Census observations. Company statements and headquarters sources are linked in the company evidence table and stored in the research dataset.