Family businesses in Asia Pacific are quickly adopting AI, with 41% of Chinese businesses implementing it at scale, compared to 29% in India and Australia. According to the KPMG Global Family Business Report 2026, these businesses can be grouped into Scalers, Pilots, and Researchers.
Meanwhile, a new AI-generated YouTube video is targeting senior homeowners with a scam that falsely claims Congress has approved a new federal property tax relief program. The video tells homeowners to contact their county auditor for a 'Senior Homeowner Tax Review Request' form.
The current AI agent era is being compared to the early days of the World Wide Web, with significant advancements in areas like natural language processing and computer vision. Sal Khan, founder of Khan Academy, believes that AI has the potential to revolutionize education by providing personalized learning experiences for students.
The AI drug discovery industry has raised $8.9 billion in funding, but despite the hype, no AI-discovered drug has yet been approved by the FDA. The use of AI in healthcare is also raising concerns about patient data privacy and the potential for AI to be used for military or surveillance purposes.
Some Silicon Valley startups are selling AI training datasets to Chinese companies, which are being used to develop cheaper AI models that rival those of American companies. AI systems can also discriminate against people based on their age, with both young and old people being negatively impacted.
Key Takeaways
['• Family businesses in Asia Pacific are quickly adopting AI, with 41% of Chinese businesses implementing it at scale.', '• A new AI-generated YouTube video is targeting senior homeowners with a scam that falsely claims Congress has approved a new federal property tax relief program.', '• The AI drug discovery industry has raised $8.9 billion in funding, but no AI-discovered drug has yet been approved by the FDA.', '• Sal Khan, founder of Khan Academy, believes that AI has the potential to revolutionize education by providing personalized learning experiences for students.', '• The use of AI in healthcare is raising concerns about patient data privacy and the potential for AI to be used for military or surveillance purposes.', '• Some Silicon Valley startups are selling AI training datasets to Chinese companies.', '• AI systems can discriminate against people based on their age, with both young and old people being negatively impacted.', "• The concept of social license refers to the public's acceptance and trust in the use of AI technologies in healthcare settings.", '• Scale AI is being adopted by family businesses in Asia Pacific.', ' ']Asia Pacific family businesses lead in AI adoption
Family businesses in Asia Pacific are implementing AI at a faster rate than their global peers. However, adoption rates vary across the region, with China leading the way. The KPMG Global Family Business Report 2026 found that 41% of family businesses in China have implemented AI at scale, compared to 29% in India and Australia. The report also identified three groups of family businesses in the region: Scalers, Pilots, and Researchers.
AI scam targets senior homeowners with fake tax relief
A new AI-generated YouTube video is targeting senior homeowners with a scam that falsely claims Congress has approved a new federal property tax relief program. The video tells homeowners to contact their county auditor for a 'Senior Homeowner Tax Review Request' form. However, there is no such program, and the Franklin County Auditor's Office is warning residents to be skeptical of online videos or posts promising big tax savings.
AI agents are the new software primitives
The current AI agent era is being compared to the early days of the World Wide Web. Just as the web evolved from static pages to dynamic applications, AI agents are expected to evolve into more sophisticated AI-native software. The field is seeing significant advancements in areas like natural language processing and computer vision.
Sal Khan on AI in education
Sal Khan, founder of Khan Academy, believes that AI has the potential to revolutionize education by providing personalized learning experiences for students. However, he also acknowledges that AI can be used for cheating and that it's essential to find ways to mitigate this risk. Khan is working on an AI-powered tutoring tool called Khanmigo, which aims to provide students with a more interactive and engaging learning experience.
AI drug discovery hype vs reality
The AI drug discovery industry has raised $8.9 billion in funding, but despite the hype, no AI-discovered drug has yet been approved by the FDA. The industry faces significant challenges, including the complexity of biology and the need for more robust clinical trials. While AI has shown promise in areas like target identification and molecular generation, it has yet to deliver on its promise of accelerating the drug discovery process.
AI impact on health record privacy
The use of AI in healthcare is raising concerns about patient data privacy. The current federal rule protecting electronic health information does not require multi-factor authentication, which is a common practice in other industries. Regulators are considering updates to the rule, but the process is slow, and some states are taking matters into their own hands by implementing their own data protection laws.
Silicon Valley selling AI training datasets to China
Some Silicon Valley startups are selling AI training datasets to Chinese companies, which are being used to develop cheaper AI models that rival those of American companies. The sale of these datasets raises concerns about the potential for AI to be used for military or surveillance purposes. The US government has imposed restrictions on the sale of certain AI-related technologies to China, but the sale of training datasets is not currently regulated.
AI bias against young and old
AI systems can discriminate against people based on their age, with both young and old people being negatively impacted. This bias can occur in areas like healthcare, hiring, and finance. To address this issue, it's essential to ensure that AI systems are trained on diverse and representative data and that they are designed to be fair and transparent.
Healthcare AI social license
The concept of social license refers to the public's acceptance and trust in the use of AI technologies in healthcare settings. Healthcare AI's social license is crucial for its widespread adoption and effective implementation. Without it, AI in healthcare may face significant challenges in gaining acceptance and trust from patients, healthcare providers, and policymakers.
Sources
- AI transition and implementation readiness
- AI video scam targets senior homeowners, Franklin County Auditor's office issues warning
- AI Agents: The New Primitives of Software
- AI can tutor students – with a teacher’s help, says Khan Academy founder
- AI Drug Discovery Has $8.9 Billion in Hype and Zero FDA Approvals: When Does the Bill Come Due?
- How AI Is Changing the Privacy of Your Health Records
- Silicon Valley’s Other China Problem: It’s Training Their AI
- AI discriminates against the young and old—here’s how we fight back.
- It’s 2026. Do you know where healthcare AI’s ‘social license’ is?
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