Traditional Sectors in the US and China Reject Unverifiable Artificial Intelligence

While traditional sectors such as banks, hospitals, and factories in the US and China resist adopting artificial intelligence tools because they do not find them reliable enough to audit independently, research and corporate data point to the magnitude of corporate risks.

Traditional sectors in America and China are rejecting artificial intelligence technologies that cannot be independently audited and trusted. Rather than being slow, the artificial intelligence adoption process is blocked by commercial and security barriers. Research conducted by Veeam in June with 600 executives across finance, healthcare, manufacturing, retail, and technology revealed that 88 percent of executives have piloted artificial intelligence agents, but only 7 percent are truly ready for artificial intelligence. Meanwhile, research by Cyberhaven showed that 71.7 percent of workplace artificial intelligence tools carry high or critical risk, and 83.8 percent of corporate data is sent to risky tools.

Anthropic's S-1 registration statement, updated on November 2, laid bare the company's financial standing and trust issues. The company generated $16.96 billion in revenue during the three-month period ending September 30, and its quarter-over-quarter growth rate dropped from 144 percent to 47 percent. Alongside Anthropic, artificial intelligence laboratories such as OpenAI and Zhipu AI are also facing various investigations and accusations regarding data privacy and commercial compliance, while it is stated that companies must adopt third-party independent auditing institutions to unlock the trillion-dollar potential in the market.