September 27, 2025

analysis  
Nvidia AI Chips Lead Investment Over Quantum Computing

Artificial intelligence continues its rapid integration across diverse sectors, from accelerating cancer drug discovery and enhancing precision oncology with improved patient-trial matching to training sales teams in emotional selling. However, this advancement is not without its challenges. Spotify has removed 75 million tracks, citing AI spam and fraud, a move that has led to a boycott by Chicago artists concerned about AI-generated music and inadequate compensation. In the realm of national security, Congress grapples with regulating AI chip sales to China, facing internal divisions and hesitation to oppose presidential deals, particularly concerning Nvidia's role. Meanwhile, AI's potential for deception and job displacement is a growing concern, as AI can now generate convincing fake content and automate tasks previously done by humans, impacting fields like writing. The U.S. Air Force is experimenting with AI for rapid battle plan generation, though human oversight remains critical due to occasional errors. Cybersecurity is also seeing AI advancements, with new malware employing AI to execute commands and grants funding research into using generative AI for defense. Despite these developments, Nvidia's AI chips are currently seen as a more robust investment than quantum computing approaches for AI, highlighting the current dominance of traditional AI hardware.

Key Takeaways

  • AI is significantly speeding up cancer drug discovery, a process that traditionally takes over a decade and billions of dollars.
  • In precision oncology, AI tools are being developed to match patients with clinical trials and targeted therapies, though trust and transparency in AI models are crucial for adoption.
  • Spotify has removed 75 million tracks identified as AI spam or fraud, leading to artist concerns about AI music devaluing human artists and inadequate compensation.
  • Chicago artists are boycotting Spotify over AI music concerns, insufficient pay, and the CEO's investment in an AI technology company.
  • Congress faces challenges in regulating AI chip sales to China, with divisions over restricting Nvidia's exports due to national security concerns and presidential dealmaking.
  • AI's increasing sophistication raises concerns about deception through convincing fake content and widespread job displacement across various sectors.
  • New malware is leveraging AI to execute commands, gather system information, and steal credentials, while also being used to generate personalized ransom notes.
  • The U.S. Air Force is using AI to rapidly generate battle plans, but human oversight is still necessary to correct subtle errors.
  • Nvidia's AI chips, like the Blackwell superchip, are currently considered a stronger investment for AI applications than quantum computing approaches from companies like D-Wave Quantum.
  • A $600,000 grant will fund research at Virginia Tech to use generative AI for creating synthetic data to train AI cyberdefense tools against threats like ransomware and phishing.

AI advances precision oncology with trust and transparency

Artificial intelligence (AI) can help make precision oncology more accessible to patients. Experts discussed how AI tools are being used to match patients with clinical trials and targeted therapies. They also highlighted the need for trust and transparency in how AI models are built and how they reach conclusions. Legislation around AI in healthcare is complex and evolving. Developers must build trust in their AI products as the technology expands.

AI speeds up cancer drug discovery in 2025

Artificial intelligence (AI) is transforming cancer drug discovery by accelerating the process, which traditionally takes over a decade and billions of dollars. AI uses machine learning, deep learning, and natural language processing to analyze vast datasets, identify drug targets, design molecules, and optimize treatments. This technology helps overcome challenges like tumor heterogeneity and resistance, making drug development more efficient and cost-effective. AI is also crucial for discovering biomarkers and personalizing cancer therapies.

Davey Daniel MD discusses AI adoption barriers in oncology

Davey Daniel, MD, chief medical officer of OneOncology, highlights trust and transparency as key barriers to integrating AI in precision oncology. He explains that physicians and patients need confidence in AI's reliability, which requires understanding how models are built and their data sources. Daniel also notes the importance of practices learning to evaluate AI technologies and partners. He believes AI can enhance clinical workflows by helping identify therapeutic and trial options, but guardrails are needed to protect patients.

Spotify removes 75 million tracks due to AI spam and fraud

Spotify has removed 75 million tracks from its catalog, labeling them as 'spammy' and related to fraud or 'AI slop.' The streaming service is also implementing new policies against impersonation and spam submissions. This action addresses the massive increase in audio tracks submitted daily, which can game the royalty system and dilute earnings for human artists. Spotify aims to combat streaming fraud, improve music discovery, and reduce operational overhead. While not banning AI-generated music, Spotify is working on standards to identify AI-created content.

Chicago artists boycott Spotify over AI and pay concerns

Dozens of Chicago artists are removing their music from Spotify due to concerns about AI-generated music, inadequate compensation, and the platform's user engagement practices. They argue that unlabeled AI music devalues human artists and that Spotify's royalty rates are insufficient for independent musicians. Artists also criticize Spotify CEO's investment in an AI technology company. Spotify responded by stating they have new protections against AI spam and impersonation and that they pay more to independent artists than other services.

Writer faces career challenges from advancing AI technology

A freelance writer is concerned about the rapid advancement of AI, which can now perform many writing tasks previously done by humans. While using AI tools for research and suggestions, the writer fears job displacement as AI becomes more capable. The legal landscape surrounding AI, copyright, and training data is also complex and evolving. The writer reflects on past career changes due to technological shifts and notes how AI is now automating tasks previously requiring specialized skills, like healthcare content strategy.

AI's potential for deception and job loss raises concerns

The increasing sophistication of artificial intelligence (AI) raises significant concerns about deception and job displacement. AI can now create convincing voices and images, making it difficult to distinguish between human and machine-generated content, leading to potential for widespread misinformation. Furthermore, AI's ability to automate tasks threatens to reduce or eliminate jobs across various sectors, potentially impacting the economy. The author also notes AI's tendency to strip human nuance from creative works, leading to a less engaging experience.

ADMANITY's Primal AI trains salespeople for emotional selling

ADMANITY has proposed Primal AI Sales Coaching, an AI system designed to train salespeople in emotional selling techniques. The AI coach would guide sales conversations in real-time and provide post-engagement critiques. This approach aims to address the gap where many businesses lack sales training, and most buyers make decisions based on emotion rather than logic. ADMANITY believes this AI could significantly boost sales team productivity and revenue by teaching them to master emotional persuasion, potentially creating trillions in upside for human selling.

Congress struggles with AI, China national security

President Trump's approach to China is creating challenges for members of Congress focused on national security threats from technology and AI. While some Republicans want to restrict AI chip sales to China, they are hesitant to directly oppose the President's dealmaking. Democrats are pushing for hearings on Nvidia's AI chip sales to China, but lack Republican support. Legislative efforts to control AI chip exports face an uphill battle, though some bills may be considered. The delay in addressing TikTok also complicates efforts to regulate Chinese technology.

New malware uses AI to execute commands

Malicious campaigns are increasingly using AI within malware payloads to execute commands. Recent examples include LameHug, which prompts AI to gather system information, and a compromised Amazon Q Developer Extension that instructed an AI agent to delete files. Another incident, s1ngularity, involved malware using AI prompts to steal credentials. PromptLock ransomware also used AI to generate personalized ransom notes. While AI can bypass some detection methods, issues like LLM guardrails and embedded API keys offer potential avenues for defense.

Grant funds AI research for cybersecurity defense

A new $600,000 grant from the National Science Foundation will support research into using artificial intelligence (AI) to enhance cybersecurity systems. Computer scientist Bimal Viswanath will lead a team at Virginia Tech to explore how generative AI, typically used for harmful content, can be repurposed to create realistic synthetic data. This data will train AI cyberdefense tools to better detect threats like ransomware and phishing. The project aims to overcome the lack of real-world data that hinders current AI security solutions.

Air Force AI generates battle plans rapidly but with errors

In a recent Air Force experiment called DASH-2, artificial intelligence (AI) generated battle plans significantly faster than human staff, creating 10 plans in about eight seconds compared to three plans in 16 minutes for humans. However, some AI-generated plans contained subtle errors, such as failing to account for specific weather conditions. This highlights the continued need for human oversight in decision-making processes, even with AI's speed advantage. Future iterations aim to reduce AI error rates, but human-machine teaming remains crucial for validating plans.

Nvidia's AI chips outperform D-Wave Quantum's AI

Nvidia's AI technology, particularly its Blackwell superchip, is currently a stronger investment than D-Wave Quantum's quantum computing approach for AI. Nvidia's chips enable complex AI models and bridge classical and quantum computing, leading to significant revenue growth and profitability. D-Wave Quantum's quantum computers offer potential for complex calculations but face challenges and are not yet profitable. While D-Wave's stock has seen recent gains, Nvidia's established business, technological advancements, and strategic investments make it the superior choice for AI investment.

Sources

Artificial Intelligence Precision Oncology Cancer Drug Discovery Machine Learning Deep Learning Natural Language Processing Biomarkers Personalized Therapies Trust and Transparency AI Adoption Barriers Clinical Workflows Healthcare Legislation AI Spam Music Streaming Copyright Artist Compensation AI-Generated Music Job Displacement Misinformation Deception Sales Coaching Emotional Selling National Security China AI Chips Cybersecurity Malware Ransomware Credential Theft Generative AI Synthetic Data Threat Detection Battle Plan Generation Human-AI Teaming Quantum Computing Nvidia D-Wave Quantum