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Tech News
Commentary on the AI industry notes that the widening gap between techno-optimists and doomsayers has left the public without a clear, trustworthy voice to follow. Both camps are accused of overstating their cases—one promising utopia, the other predicting catastrophe—while much of the underlying hype serves commercial interests rather than sober analysis.
A Pew Research Center poll spanning 37 countries found that a median of 46% of respondents believe artificial intelligence will destroy more jobs than it generates. Only 9% of those surveyed expect AI to result in a net increase in employment.
American AI governance discussions focus largely on existential risks and protecting humanity from potential harms of advanced systems. Chinese authorities, by contrast, prioritize AI rules that shield the Communist Party's authority and political stability, reflecting fundamentally different visions of what 'safe' AI should look like.
Leaders from a major automaker and a large home-goods retailer discussed how they are deploying artificial intelligence to enhance customer interactions rather than replace human judgment. Both executives emphasized designing AI tools that support employees and shoppers, building on the industry's evolution from physical stores to online shopping to more advanced digital experiences.
King Charles III addressed AI industry leaders, calling on them to ensure the technology remains under human control and does not develop harmful or uncontrollable capabilities. The remarks come amid mounting international anxiety over an AI race largely dominated by the United States and China.
Jacob Coxon, a mathematician who left Anthropic, has drawn widespread attention after issuing a stark public warning about AI risks. His comments have amplified long-standing concerns within the field, pushing the debate over AI safety into mainstream visibility.
Senior Trump administration officials have been meeting nearly every day in recent months to discuss possible guardrails for artificial intelligence policy. The internal deliberations reflect competing views within the administration on how much federal oversight AI development should face.
Emil Michael, the Department of Defense's chief technology officer, said Wednesday he hopes the Trump administration will not pursue nationalization or partial ownership stakes in artificial intelligence companies. He made the remarks on CNBC's 'Squawk on the Street,' contrasting AI policy with the administration's recent equity moves in firms like Intel and U.S. Steel. Michael also voiced skepticism toward tightening regulatory oversight of AI companies.
A new survey from The Associated Press-NORC Center for Public Affairs Research and the University of Chicago's Energy Policy Institute finds that 53% of Americans are extremely or very concerned about AI's environmental impact, up from 41% a year ago. The rise is driven largely by Democrats, though the poll also shows widespread unease about the local effects of data centers that power AI and cloud computing.
Reddit co-founder Alexis Ohanian told CNBC that the tech industry has done a 'tone deaf' job explaining AI to the public, allowing misinformation to spread instead of focusing on real risks. He said the conversation should move past dramatic 'Terminator' scenarios and toward practical concerns, stressing that public understanding is key to managing the technology responsibly.
Martha Stewart, who built a lifestyle empire over five decades, has started a new company called Hint focused on artificial intelligence. The move marks a fresh chapter for a figure often credited as an early influencer, as she looks to apply her brand experience to emerging tech.
Researchers are increasingly using wearable devices—smartwatches, wristbands, patches and rings—to collect real-time physiological data such as heart rate, blood pressure and activity in clinical trials. Specialists say advances in sensor technology and AI could enable decentralized trials where participants are monitored remotely, with dosing personalized to individual data rather than fixed protocols. Current devices already track metrics via accelerometers, gyroscopes and photoplethysmography, with future versions potentially measuring biomarkers like glutamate and cortisol.