I’m writing a mini-report titled “AI Statistics Every Startup Should Know” for startup founders and team members exploring how AI is reshaping business operations, growth, and competitiveness. I’m seeking short, insightful quotes on what data or trends matter most when evaluating or adopting AI.
What are the most critical AI trends, adoption stats, or practical lessons that startups should pay attention to right now?
This could include investment patterns, ROI data, tool fatigue, specific use cases you’ve seen work (or fail), or where you see startups getting the most value from AI today.
Especially welcome: clear, grounded insights that help early-stage companies make smarter decisions about adopting AI.
posted6/4/2025
deadline6/10/2025
processing
published9/23/2025
Recently published by HubSpot
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