Measure AI Adoption By Outcomes, Not Usage

{
  "signal_id": "8a93a43b-654b-c9a0-3ba9-c28eddfa20b9",
  "signal_type": "news",
  "signal_subtype": "signs_new_client",
  "detected_at": "2026-08-21T12:15:00+00:00",
  "company": {
    "name": "Synthesia",
    "domain": "synthesia.io"
  },
  "data": {
    "url": "https://www.forbes.com/councils/forbestechcouncil/2026/08/21/measure-ai-adoption-by-outcomes-not-usage/",
    "title": "Measure AI Adoption By Outcomes, Not Usage",
    "author": "Victor Riparbelli, Forbes Councils Member",
    "excerpt": "By Victor Riparbelli , Forbes Councils Member. Victor Riparbelli is the CEO and co-founder of Synthesia , a leading enterprise-focused AI video platform. A decade ago, if you walked into a newsroom like BuzzFeed or Business Insider, you would see a giant leaderboard measuring each journalist in real time by the number of pageviews their stories generated. Besides increasing anxiety among reporters, this measurement method incentivized editors to rely on clickbait and virality more often than they would have before. It brings to mind the famous quote from Charlie Munger , “Show me the incentive and I'll show you the outcome.” Today, as the traffic these publications receive from Google and social media has declined significantly, this practice is mostly no longer in place. Media businesses have moved toward more strategic outcomes that drive longer-term value for their business, such as paid subscribers, event attendees and sponsorship revenue growth. AI adoption is facing a similar transition inside companies. Earlier this year, “ tokenmaxxing ” peaked with software engineers and even other roles. Companies were recognizing employees simply by how many AI tokens they used. It was the vanity metric moment for AI, similar to the pageviews metric moment for media. Unlike the media, which remained fixated with pageviews for years, tokenmaxxing lasted only for a few weeks until...",
    "summary": "Global elevator company KONE is a client of Synthesia, using its pre-learning videos to train field technicians, saving a full day per course and producing content 30% faster.",
    "planning": false,
    "image_url": "https://imageio.forbes.com/specials-images/imageserve/6936ead45b09a91ed0d765cf/0x0.jpg?format=jpg&height=900&width=1600&fit=bounds",
    "confidence": 0.9,
    "published_at": "2026-08-21T12:15:00Z",
    "article_sentence": "Our client, KONE, the global elevator company, changed the way it trains its field technicians and saved a full day per course using pre-learning videos while producing content 30% faster.",
    "related_company_name": "KONE",
    "related_company_domain": "kone.com"
  }
}

curl https://signals.autobound.ai/v1/signals/8a93a43b-654b-c9a0-3ba9-c28eddfa20b9 \
  -H "X-API-KEY: $AUTOBOUND_API_KEY"

curl -X POST https://signals.autobound.ai/v1/companies/enrich \
  -H "X-API-KEY: $AUTOBOUND_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"domain":"synthesia.io","limit":20}'