Conference Presentation, Panel, Fireside Chat
Artificial Intelligence, Real Impact
Milken InstituteRalph Simon, Ayesha Khanna, Virginie Maisonneuve, Humera Malik, Nadia Thalmann, Vikesh
- The ecosystem is projected to transition from a stage of narrow application to broad implementation, with the number of Internet users expected to grow from 2 billion to 5 billion and connected devices increasing from 15 to 20 billion, or up to 50 billion by 2020 depending on the source.
- Economic implications include a potential 4 to 11 trillion dollar annual impact by 2025, with total data volume reaching 1 trillion gigabytes by 2025, while global GDP could see a $13 trillion addition by 2030.
- Sector-specific impacts forecast value creation up to 128% in travel and 20% to 25% economic value in developed economies versus 5% to 15% in developing ones, with US healthcare savings estimated at $300 billion and a 1% to 9% revenue impact across various sectors.
- Operational automation is expected to reduce call center labor costs by 40%, potentially lowering European company costs by $60 billion, and reduce business process outsourcing in the Philippines by 70% within three to four years.
- Industrial capabilities aim to predict events 20 minutes, one hour, or 45 days in advance to automate decision-making, with energy consumption shifting toward efficiency rather than maximum capacity to avoid the need for additional nuclear power plants.
- Healthcare improvements anticipate immediate disease discovery through comparison against millions of cases, extended human lifespan, and the automation of 43% of doctor time spent on administrative tasks in China.
- Educational systems, specifically in China, are expected to evolve by 2020 to require data mining courses in every university and create over 100 new majors pairing various disciplines with AI.
- Societal shifts include the rise of "autonomous humans," the necessity for humans and machines to learn programming languages, and the deployment of AI companions for elderly populations in countries like China, Germany, and Switzerland.
- Adoption timelines suggest entities should be on the AI journey within five years if supported by government subsidies, with specific agents like Nadine beginning new customer interactions within two weeks.
- Specific technological deployments include facial recognition for 23 million chickens in China, satellite imagery for crop damage warnings, and automatic insurance claims processing for agricultural sectors.