September 20, 2025

analysis  
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Artificial intelligence is rapidly integrating into various sectors, from healthcare and business operations to education and personal companionship. In healthcare, AI tools are enhancing pharmacy efficiency through automation in dispensing and inventory, while also aiding in clinical decision support. However, experts caution that medical AI may contain hidden biases, recommending different treatments based on patient demographics, and emphasize the critical need for human oversight to ensure patient safety and trust. Students are increasingly using AI as a learning aid, with a significant majority at Middlebury College and other universities employing it as a tutor rather than for cheating. Businesses like General Motors are leveraging AI to predict and prevent supply chain disruptions, with GM's system already averting numerous factory stoppages. Companies such as Caju AI are using generative AI to analyze customer conversations across platforms, providing businesses with insights into customer needs. On the global stage, the United States is focused on bolstering its AI infrastructure and domestic semiconductor manufacturing, including advanced chip production capabilities, to compete with China. Intel's potential collaboration with Nvidia could bolster Intel's chip manufacturing, potentially giving it an edge over competitors like AMD. Meanwhile, ethical considerations surrounding AI are prominent, with Pope Leo rejecting the idea of an AI version of himself due to risks to human identity and concerns about automation's impact on human dignity. Psychologists note that while AI companions can offer comfort and alleviate loneliness, they lack the depth and 'friction' of genuine human relationships, raising concerns about over-reliance, particularly among young people. Investors, though pouring money into AI, are increasingly aware of its long-term risks, including data control issues and potential social unrest from job displacement, highlighting a growing need for AI sustainability awareness.

Key Takeaways

  • AI is enhancing pharmacy operations through automation, improving efficiency and allowing pharmacists more patient-focused time.
  • Medical AI tools may exhibit implicit biases, recommending different treatments based on patient demographics, necessitating physician oversight.
  • A significant majority of college students use AI as a learning tool, primarily as a tutor, rather than for academic dishonesty.
  • General Motors uses AI to monitor its supply chain, successfully preventing at least 75 factory stoppages this year by predicting disruptions.
  • Caju AI employs generative AI to analyze digital customer conversations, offering businesses insights into customer needs and frustrations.
  • The US is investing in AI infrastructure and domestic semiconductor manufacturing to compete with China, focusing on areas like advanced chip production.
  • A potential deal between Nvidia and Intel could strengthen Intel's chip manufacturing capabilities and offer an advantage over AMD.
  • Pope Leo has rejected the creation of an AI version of himself, citing risks to human identity and concerns about automation's impact on human dignity.
  • AI companions can offer comfort and reduce loneliness but lack the depth of human relationships, raising concerns about over-reliance.
  • Investors are increasingly aware of AI's long-term risks, such as data control and job displacement, emphasizing the need for AI sustainability.

Healthcare AI needs doctor's oversight, experts warn

Artificial intelligence in healthcare is powerful but risky, according to Scott V. Anderson from the American Society of Health-System Pharmacists. He stresses the need for proof of effectiveness, clear models, and reliable data. Hospitals must carefully manage AI to ensure it improves patient care without compromising safety or trust. AI is already helping pharmacists with tasks like automating prior authorizations and improving efficiency. It also aids in clinical decision support and allows pharmacists more time with patients.

AI and automation boost pharmacy care and efficiency

Artificial intelligence and automation are transforming pharmacy practice, improving patient care and efficiency. Hospitals and retail chains are using automated systems for dispensing, compounding, and inventory management. These technologies reduce errors, decrease wait times, and allow pharmacists to spend more time on patient-focused care like medication management. While initial costs and training can be challenges, AI offers significant benefits for both clinicians and health systems. Pharmacy education is also adapting to prepare students for these technology-driven environments.

College students use AI as a tutor, not to cheat

A survey at Middlebury College found that 80% of students use AI tools for their coursework, primarily as an on-demand tutor to explain concepts. This challenges the idea that students are using AI mainly to avoid work or cheat. While some students use AI for tasks like summarizing readings or proofreading, the majority use it to enhance their learning. Similar findings were observed in a broader study across over 130 universities. Experts suggest that institutions should focus on guiding students on beneficial AI uses rather than banning the technology.

GM uses AI to prevent costly supply chain disruptions

General Motors is using artificial intelligence to monitor its supply chain and predict potential disruptions. The AI system scans news, maps supplier relationships, and tracks data to identify risks like hurricanes or material shortages. This technology has already prevented at least 75 factory stoppages this year. The system was developed after the semiconductor shortage in 2020-2023, which significantly impacted automotive production. By understanding its suppliers' suppliers, GM can proactively address issues and maintain production flow.

AI companions offer comfort but lack human depth

Psychologist Paul Bloom argues that AI chatbots can help alleviate loneliness by providing companionship, especially for older adults or those without strong social networks. He notes that chatbots can be more empathetic and available than many real people. However, Bloom also warns about the dangers of relying solely on AI, as these companions lack consciousness and cannot offer the valuable friction of real human relationships. Concerns exist about AI's agreeability potentially causing psychological harm, particularly to young people, and the need for careful consideration of AI's role in sensitive situations.

Nvidia deal could boost Intel's chip manufacturing

A new deal between Nvidia and Intel could strengthen Intel's next-generation chip manufacturing capabilities. While Nvidia hasn't committed to using Intel's factories for its own chips, the agreement to supply each other with components for future products is significant. This partnership could give Intel an advantage over competitors like AMD. The collaboration might also provide the necessary production volumes to justify Intel's investments in advanced manufacturing technologies like its planned 14A process.

Pope Leo rejects AI version of himself

Pope Leo has refused a proposal to create an artificial intelligence version of himself, citing risks to human identity. He believes an 'artificial pope' avatar could not properly represent his role. Since his election in May, Pope Leo has expressed concerns about AI's impact on humanity, especially children and young people. He also warned about automation's potential threat to human dignity and the workforce if not managed ethically.

Investors struggle with AI risks and sustainability

Many investors see the negative impacts of AI and data technology as significant long-term risks, according to a recent study. These risks include data control issues and potential social unrest from AI's effect on jobs. Despite these concerns, investments in AI continue to grow rapidly. Panelists at a conference emphasized the need for investors to ask critical questions about how AI risks are managed. They noted that awareness of AI sustainability issues is still developing, similar to past concerns with other technologies.

Caju AI helps businesses understand customer conversations

Caju AI, co-founded by Otavio Freire, Jim Ting, and Ruben Jimenez, uses generative AI to analyze digital conversations across various platforms like SMS, WhatsApp, and Teams. The company aims to help businesses understand customer needs and frustrations hidden within these chats. Caju AI's technology goes beyond simple analytics to provide actionable business insights. They emphasize data privacy and transparency to build trust with clients in sensitive industries like finance, government, and healthcare.

US needs chips and infrastructure for AI race with China

The United States must invest in AI infrastructure and semiconductor manufacturing to keep pace with China's advancements, particularly in military applications. An aging power grid and limited domestic chip production are key concerns. The US AI Action Plan aims to address these issues through private sector collaboration and investment. AI offers significant advantages in areas like data analysis, predictive maintenance, and logistics for both military and civilian sectors. Developing robust computing power, especially for remote operations, is crucial.

Medical AI tools may have hidden biases, doctors warned

Physicians are being cautioned about potential weaknesses in medical AI tools, particularly implicit bias. A study found that some AI models recommended different treatments based on a patient's socioeconomic or demographic background, even with identical clinical details. For example, AI sometimes offered more urgent interventions for certain minority groups or more advanced imaging for higher-income patients. Researchers advise doctors to rigorously test AI tools, compare recommendations to best practices, and inquire about vendor testing methods to ensure AI-driven care is safe and equitable.

Sources

Artificial Intelligence Healthcare AI Pharmacy Automation AI in Education Supply Chain Management AI Companions Chip Manufacturing AI Ethics AI Investment Customer Conversation Analysis AI Infrastructure Medical AI Bias Generative AI Clinical Decision Support Data Privacy Semiconductor Industry AI Risk Management Human-AI Interaction AI in Business AI and Society