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Aerospace startups often begin with a dream to provide cheaper, better, or faster solutions for aviation and space flight, and the ambition to make that dream a reality.  Although optimism fuels innovation, as aerospace startups transition from venture funding into public markets, shareholders may misconstrue their forward-looking optimism as actionable promises. Diamond v. Firefly Aerospace Inc., et al. is a putative class action that highlights this tension.

The rapid expansion of biometric technologies in sports has created both significant opportunities and complex legal challenges. The proliferation of wearable devices and data collection tools has ushered in what amounts to a “gold rush” for athletes, teams, universities, and companies seeking to use or commercialize biometric data. Heart rate variability, fatigue indicators, movement efficiency, and other performance metrics are increasingly captured in real time and treated as valuable commercial assets.

On September 10, minutes after the first presidential debate between Donald Trump and Vice President Kamala Harris, an Instagram post set the political world abuzz: Taylor Swift endorsed Harris in the race. The announcement from one of the world’s biggest stars was newsworthy in itself, but IP lawyers likely took note of why she chose to post. Swift explained that she felt compelled to share her views after a photo featuring an AI-generated image of her appearing to endorse Donald Trump was posted online. The image was shared by Trump himself on his social media platform Truth Social, and was circulated widely by his supporters. Swift wrote that the image “really conjured up my fears around AI, and the dangers of spreading misinformation.”

In a recent public comment addressed to the United States Copyright Office, the Federal Trade Commission seemingly expanded upon remarks made at the National Advertising Division back in September that it will aggressively and proactively challenge alleged unfair practices involving artificial intelligence, even if that means stretching the meaning of “unfair” to increase its jurisdiction over such matters.

On January 18, 2022, Microsoft’s acquisition of Activision, one of the world’s most-valuable gaming companies, was announced. In April 2023, the United Kingdom’s Competition and Markets Authority (CMA) blocked the deal on concerns that the deal could “alter the future of the fast-growing cloud gaming market, leading to reduced innovation and less choice for UK gamers over the years,” a decision that Microsoft appealed to a Competition Appeal Tribunal. A few months later, in July 2023, as previously reported in Minding Your Business, the FTC’s challenge to the deal in the United States fell short, leaving the UK as the only competition authority preventing the closing of the deal.

While speaking at the annual conference of the National Advertising Division on September 19, 2023, the Federal Trade Commission (“FTC”) announced a generative AI (“AI”) policy that is consistent with Chairwoman Khan’s focus on the perceived harms to consumers from large technology companies, fully embracing a plan to regulate AI swiftly, aggressively, and proactively. 

The agency began its remarks on AI by observing that its purported policy decision to allow technology companies to self-regulate during the “Web 2.0” era was a mistake. Self-regulation, according to the FTC, was a failure that ultimately resulted in the collection of too much power and too much data by a handful of large technology companies. 

In the latest of a string of losses for antitrust enforcers, the Northern District of California resoundingly denied the FTC’s bid to enjoin the Microsoft-Activision merger, allowing the deal to proceed a week in advance of its upcoming merger termination date. In a case that tested the bounds of antitrust law in vertical integration deals, Presiding Judge Jacqueline Scott Corley found “the record evidence points to more consumer access,” rather than showing signs of reduced competition. Federal Trade Commission v. Microsoft Corporation, et al.