Eric Schmidt, the former CEO of Google, has publicly stated his support for both the rapid development of artificial intelligence and increased immigration. The billionaire tech mogul argues that cutting immigration would be detrimental to the U.S. economy, even as AI threatens to displace many American workers. Schmidt made these remarks during a recent interview, emphasizing that the country needs more talent from abroad to remain competitive in the global tech landscape.

Schmidt's stance comes amid growing concerns about job losses due to automation and AI. He acknowledged that AI will lead to significant changes in the workforce but insisted that restricting immigration is not the solution. Instead, he proposed that the U.S. should focus on retraining workers and investing in education to prepare for an AI-driven economy.

The former Google executive also highlighted the importance of maintaining an open immigration policy for highly skilled workers. He noted that many of the world's leading AI researchers and engineers are immigrants, and that closing borders would stifle innovation. Schmidt's comments align with those of other tech leaders who have long advocated for more H-1B visas and other pathways for skilled foreign workers.

Critics, however, argue that Schmidt's position overlooks the immediate impact of AI on American jobs. They contend that while immigration may benefit tech companies, it does not address the needs of workers who are already facing layoffs due to automation. Some labor advocates have called for a moratorium on certain AI applications until the social and economic consequences are better understood.

Schmidt's views also contrast with the current political climate, where immigration restrictions have gained popularity. The former Google CEO acknowledged the political challenges but urged policymakers to take a long-term view. He warned that countries that close themselves off to talent will fall behind in the AI race, which he described as a critical national security and economic priority.

In addition to immigration, Schmidt called for increased government funding for AI research and development. He suggested that the U.S. should create a national AI strategy similar to those adopted by China and other nations. Schmidt also emphasized the need for ethical guidelines to ensure that AI is developed responsibly.

Schmidt's comments have sparked debate among tech industry observers and policymakers. Some agree that immigration is vital for maintaining U.S. leadership in AI, while others argue that the focus should be on protecting American workers. The discussion is likely to intensify as AI continues to advance and reshape the economy.

As of now, Schmidt's proposal has not been formally adopted by any government body. However, his influence in the tech world ensures that his views will be considered in ongoing policy debates. The billionaire remains a prominent voice in discussions about the future of AI and its impact on society.

Mustafa Suleyman, the executive leading Microsoft's artificial intelligence efforts, has forecast that AI will likely automate a significant portion of white-collar roles within a year to a year and a half. Suleyman shared this projection during a conversation with a media outlet, emphasizing the accelerating capabilities of AI systems.

The Microsoft AI chief pointed to recent breakthroughs in large language models and generative AI as key drivers of this shift. He noted that tasks such as data analysis, report writing, and even some aspects of legal and medical work could be handled by AI in the near term. Suleyman argued that the technology is advancing faster than many anticipate.

Suleyman's comments come amid a broader debate about AI's impact on employment. While some experts predict a gradual transition, Suleyman suggested that the pace of change could be abrupt for many knowledge workers. He stressed the need for societies to prepare for workforce disruptions.

Microsoft has invested heavily in AI, including its partnership with OpenAI and the integration of AI features into products like Office 365 and Azure. Suleyman, who co-founded DeepMind before joining Microsoft, has been a prominent voice on AI ethics and safety. He reiterated the importance of responsible deployment.

During the interview, Suleyman also addressed concerns about job displacement. He called for proactive measures such as reskilling programs and social safety nets to support affected workers. He expressed optimism that AI could augment human capabilities rather than simply replace them.

Suleyman's timeline is more aggressive than some other industry leaders. For instance, OpenAI CEO Sam Altman has predicted that AI will eventually replace many jobs but over a longer period. Suleyman's forecast aligns with Microsoft's push to embed AI deeply into its products.

The remarks have sparked discussions among economists and policymakers. Some argue that automation will create new job categories, while others warn of significant unemployment. Suleyman acknowledged these uncertainties but maintained that the next 18 months would be pivotal.

Microsoft has not issued an official statement regarding Suleyman's comments. The company continues to develop AI tools aimed at enhancing productivity across various sectors. Suleyman's prediction underscores the rapid evolution of AI and its potential to reshape the labor market.

Amazon announced on Monday that Alexa Plus, its upgraded AI assistant, can now generate podcasts on "virtually any topic." Users provide a topic, and the assistant offers an overview of what the AI hosts plan to discuss, allowing the user to steer the conversation and adjust the episode length before generation begins. Amazon shared examples of "Alexa Podcast" episodes featuring two AI-generated hosts talking about the history of the Roman Empire, new music, and expectations for the World Cup. The company also noted that users can ask Alexa Plus to generate audio lessons about the Apollo missions. The feature is part of Amazon's broader push to make Alexa Plus more conversational and proactive. Alexa Plus launched earlier this year as a subscription-based upgrade to the standard Alexa assistant, offering enhanced natural language understanding and generative AI capabilities. The podcast generation feature is rolling out to Alexa Plus users in the United States starting Monday. Amazon has not announced pricing for the feature beyond the existing Alexa Plus subscription, which costs $19.99 per month or $199 per year. The company says the podcast feature is designed to provide personalized, on-demand audio content without requiring users to search for or subscribe to traditional podcasts. Amazon emphasized that the AI hosts are clearly labeled as AI-generated and that users can provide feedback to improve the feature. The announcement comes as Amazon competes with other AI assistants like Google Assistant and Apple's Siri, which have also added generative AI features. Amazon's Alexa Plus is available on Echo devices and through the Alexa app. The company plans to expand the podcast feature to more regions in the future, though no specific timeline was provided. Amazon said the feature uses the same underlying AI models that power other Alexa Plus capabilities, including conversation summarization and task completion. The company also noted that the podcast generation process respects user privacy and does not use personal data to generate content without explicit permission. Amazon's move into AI-generated podcasts follows similar efforts by other tech companies, such as Google's NotebookLM, which can generate audio summaries of documents. However, Amazon's implementation is unique in that it allows users to actively steer the conversation and adjust the episode's length and focus. The feature is available immediately for Alexa Plus subscribers in the U.S. Amazon said it will continue to refine the feature based on user feedback and plans to add more customization options in the future.

SandboxAQ announced the integration of its drug discovery models with Anthropic's Claude, enabling researchers to query the AI using plain English. The company positions this as a solution to the access problem in AI-driven drug development, where sophisticated models often require specialized technical expertise to operate. By embedding its models into Claude, SandboxAQ aims to lower the barrier for scientists who lack advanced computing skills.

The integration allows users to ask questions about molecular structures, drug interactions, and other biological data without writing code. SandboxAQ's models, which include tools for predicting molecular properties and simulating chemical reactions, are now accessible through Claude's conversational interface. The company claims this reduces the time needed to train researchers on complex software interfaces.

SandboxAQ's approach contrasts with competitors like Chai Discovery and Isomorphic Labs, which focus on building more powerful models from scratch. Instead, SandboxAQ emphasizes usability, betting that the primary bottleneck in drug discovery is not model capability but the difficulty of accessing and applying existing AI tools. The company argues that many potential users are excluded by the need for programming expertise.

The Claude integration supports tasks such as virtual screening of drug candidates, predicting toxicity, and optimizing molecular structures. Researchers can upload data or describe their goals in natural language, and Claude will invoke the appropriate SandboxAQ models to generate results. The system also provides explanations for its outputs, helping scientists understand the reasoning behind predictions.

SandboxAQ's drug discovery models were originally developed for internal use and later made available through APIs. The company says the Claude partnership extends this reach to a broader audience, including biologists, chemists, and medical researchers who may not have computational backgrounds. Early testers include academic labs and pharmaceutical companies.

The integration is available now through Claude's platform, with pricing based on usage. SandboxAQ plans to add more models and features over time, including support for multi-step workflows and collaborative analysis. The company also intends to publish case studies demonstrating the system's effectiveness in real-world drug discovery projects.

SandboxAQ CEO Jack Hidary stated that the goal is to democratize access to AI in drug discovery, allowing scientists to focus on biological questions rather than technical implementation. The company sees this as a step toward accelerating the development of new therapies by removing computational hurdles. No specific pricing tiers or volume discounts were disclosed.

SandboxAQ's integration with Claude is now live for all users with access to the Claude platform. The company encourages researchers to test the system with their own datasets and provide feedback for future improvements. SandboxAQ will continue to develop its underlying models while expanding the range of tasks that can be performed through natural language commands.