Steve Botsford for US Senate US Inactive
Botsford for Illinois
Ad copy
AI will define the next decade of economic and geopolitical competition. Two things matter politically. First, the United States has to stay ahead of China in developing and deploying AI. That is a national security imperative. Second, we have to manage adoption so AI raises productivity and wages instead of hollowing out the workforce and pushing us toward 20 percent unemployment. Winning the AI race and protecting workers are not opposing goals. Getting both right is the job. #ai #illinois #democrat #politics
↗ View in Meta Ad Library (the live creative — image/video/layout)
Performance proxies
| Overall score | 28.6/100 |
| Spend / Reach / Long. / Eff. | 0.0 · 45.5 · 1.7 · 67.0 |
| Spend range | <USD 99 |
| Impressions | 4,000 – 4,999 |
| CPM (≈ $/1k impr) | USD 11.0 |
| Est. audience size | — |
| Days live | 7 (2026-03-11 → 2026-03-18) |
| Created | 2026-03-11 |
| Creative variants | 1 body · 0 headline |
| Platforms | facebook, instagram |
| Languages | en |
| Candidate | IL — Steve Botsford |
| Surfaced by | “senate:Steve Botsford” |
🧠 AI analysis
| Issue | economy taxes |
| Framing | positive candidate |
| Message type | persuasion |
| Emotional appeal | urgency |
| Production tier | semi pro |
| Who pictured | candidate |
| Symbols | none |
| Call to action | none |
| Standout element | Candidate speaking directly to camera with podcast-style microphone and branded jacket overlay reading 'AI IS GOING SB' with Illinois state silhouette |
| Tactic | The ad uses a direct-to-camera, podcast-style format to establish Botsford as a credible tech-forward thinker, framing AI leadership as both a national security and workers' rights issue to appeal across Democratic constituencies. |
Where it ran (delivery by region)
| Illinois | 100.0% |
Who saw it (delivery)
| 18-24 · female | 10.3% |
| 45-54 · male | 7.1% |
| 65+ · male | 5.6% |
| 65+ · female | 3.8% |
| 55-64 · unknown | 0.1% |
| 55-64 · male | 8.2% |
| 55-64 · female | 3.2% |
| 45-54 · unknown | 0.0% |
| 45-54 · female | 3.4% |
| 18-24 · male | 15.1% |
| 35-44 · unknown | 0.2% |
| 35-44 · male | 11.1% |
| 35-44 · female | 3.9% |
| 25-34 · unknown | 0.2% |
| 25-34 · male | 19.2% |
| 25-34 · female | 8.2% |
| 18-24 · unknown | 0.3% |
| 65+ · unknown | 0.1% |
