Trump’s AI Order Drops, Amazon Bets on Wearable Audio

President Trump will reveal an AI Action Plan and related executive orders on Wednesday after giving advisers six months to rewrite policy following his repeal of Biden’s guardrails. The event is co-hosted by the Hill and Valley Forum and the All-In Podcast, whose co-host David Sacks is now the administration’s top AI adviser.

The blueprint is expected to speed overseas sales of U.S. AI technology and streamline permits for the power-hungry data centers the industry needs. It also carries the administration’s campaign against “woke AI,” echoing complaints of political bias in chatbots from Sacks, Elon Musk and allied investors.

The move overturns Biden-era restrictions and places federal AI policy squarely in line with Silicon Valley backers advocating lighter regulation and expanded energy use. Ninety-five labor, environmental and privacy groups have condemned the plan as industry-driven and are promoting a rival “People’s AI Action Plan.”

Amazon is acquiring Bee, the startup behind a $49.99 AI bracelet that records conversations to create reminders, though the deal has not yet closed. The company also offers a $19-per-month subscription and an Apple Watch app.

Bee raised $7 million last year, and all employees have received offers to join Amazon. TechCrunch notes the purchase signals Amazon’s pursuit of wearable AI devices beyond its Echo speakers as OpenAI, Meta, and Apple eye similar hardware.

Bee says recordings aren’t saved or used for AI training and can be deleted, yet Amazon’s mixed history with Ring data sharing highlights looming privacy scrutiny. The article points to Amazon’s past disclosure of Ring footage to law enforcement and an FTC settlement over staff access to videos.

Nvidia-backed Perplexity AI is negotiating with smartphone makers to pre-install its new Comet browser as the default option on devices. CEO Aravind Srinivas told Reuters the talks aim to exploit the "stickiness" of preloaded browsers to expand the company’s AI search reach.

Comet is in desktop-only beta and embeds Perplexity’s AI to answer questions about emails, calendars, browsing history, and to automate tasks like scheduling or webpage summaries. After stabilizing the product for a few hundred thousand testers, Perplexity targets "tens to hundreds of millions" of users next year.

Mobile browsing is dominated by Google Chrome at about 70%, with Safari and Samsung’s browsers holding another 24%, leaving scant room for challengers. That landscape, coupled with the habitual loyalty to default apps, underscores the scale of Perplexity’s $14 billion push to dislodge entrenched incumbents.

Section found that 60% of knowledge workers limit AI usage because they’re worried about data privacy. So they’ve invited Snowflake’s Head of AI, Baris Gultekin, to join them in a conversation on July 30 around which AI data fears are myths and which hold water.

They’ll address questions like: Are we saying goodbye to privacy and data control by using AI? What are the most important data hygiene practices everyone should be using with AI? How should leaders approach data governance with AI to keep company information safe?

Free to attend. Registration required.

Exploding Topics released a survey of 1,115 U.S. internet users showing widespread distrust of Google’s AI Overviews. Despite 71.15% having seen major mistakes, 70.62% say search feels the same or better and 43.03% would keep the feature on.

42.1% reported inaccurate or misleading answers and only 18.6% usually click through to cited sources. 61.17% only sometimes trust the summaries, and more than 40% rarely or never fact-check them.

Convenience still tops caution: 50.3% are less likely to engage with content labeled as AI-generated and 48.12% want less AI content going forward. At the same time, 74.46% worry about AI’s environmental toll, revealing a cost-benefit tension for future adoption.

MIT finance professor Andrew Lo asserts that large language models will be able to manage client portfolios, balance risk, and satisfy fiduciary standards within five years. He describes forthcoming agent systems that can autonomously make investment decisions for clients.

Last year, ChatGPT told Lo to sell Moderna, and the subsequent share plunge bolstered his confidence in the technology’s market acuity. He contrasts this potential with Wall Street’s current limited use of AI for data tasks and cites an SEC proposal requiring firms to neutralize AI-related conflicts of interest.

Lo argues that extra layers of protection and transparency are mandatory before such systems can be trusted with high-stakes capital. He says the fusion of human intuition and machine speed could reshape finance more profoundly than any tool in decades.