Artificial Intelligence

Amazon employees quit over strict return-to-hub policy: Some are opting to face a tough tech job market rather than comply with a burdensome policy, which lacks sufficient compliance incentives.

AI-generated art can’t be protected by copyright, a US judge rules: The decision could give advertisers pause due to a lack of ownership of AI-produced material.

Google’s high executive turnover is a symptom of broader brain drain: It’s struggling to retain the talent it will need to fend off threats to Search and reclaim its AI frontrunner status.

Lamborghini unveils its first EV powered by AI: It wants to redefine the future of supercars with cutting-edge technologies while responding to the push for luxury EVs.

Microsoft undermines OpenAI with Databricks partnership: The tech giant has found a new startup interest to grow its cloud business with open-source AI tools. OpenAI may be in trouble.

On today's podcast episode, we discuss why the Federal Trade Commission is investigating ChatGPT-maker OpenAI; how publishers, content creators, and authors feel about generative AI; what the wrong kind of regulation looks like; and what AI rules we will likely see next. "In Other News," we talk about when we can expect to see GPT-5 and what to make of Netflix's newly launched game-controller app. Tune in to the discussion with our analysts Jacob Bourne and Gadjo Sevilla.

The New York Times could file a landmark AI lawsuit: The publisher is considering suing OpenAI after licensing negotiations collapsed.

Tencent plans to unveil its AI model, Hunyuan, intensifying China’s AI race just as Beijing’s new regulations are implemented. Its guardrails could have worldwide implications.

Microsoft’s early AI search missteps left it far behind Google: Bing is struggling to make gains against Google despite coming out of the gate early with AI.

Google’s life advice chatbots could trigger internal tension: It’s testing 21 tools based on generative AI, but ethicists are worried about safety and emotional dependence, which could pose commercial challenges.

Trained by AI today, replaced tomorrow? Hitachi unveils an AI-powered job-training technology that provides a solution to the knowledge-transfer problem. It also raises job security questions.

On today's episode, we discuss the ways in which firms are prepared—and unprepared—for AI, what happens when companies have finished test-driving generative AI, and what to make of Meta giving away its AI model. "In Other News," we talk about when we can expect to see GPT-5 and how Apple’s lip-reading technology could be a step toward artificial general intelligence. Tune in to the discussion with our analysts Jacob Bourne and Gadjo Sevilla.

Google AI will summarize news articles—but only after clicking through: What’s supposed to be an olive branch to worried publishers raises more questions than it answers.

Strategic upskilling is essential as AI usage increases the likelihood of job disruption and transformation. Investing in employees has never been more important.

Amazon’s $10 billion loss from Alexa devices sparks the latest strategy shift away from consumer electronics as it and other companies focus on profitability and reduce aspirational projects.

Google to launch Gemini this fall with multimodal features: It wants to topple OpenAI’s commercial generative AI lead with a new family of models. Timing with fall classes could be crucial.

Companies scramble to stockpile Nvidia’s $40K H100s: Chatbots get the attention, but it’s the powerful chips powering AI that are crown jewels keeping a tech recession at bay.

The early success of Voiceflow’s plug-and-play AI assistant technologies are showing the advantage of applying AI in mission-critical business applications.

AI is approaching ‘gale of creative destruction’: Generative AI means near-term job security for those who can build it and likely fast-paced disruption for millions of other knowledge workers globally.

Data center industry growth is on the horizon as AI adoption rises, with cloud giants like AWS leading the shift from the “Cloud Era” to the “AI Era.”