Deep Tech Briefing #40: š¤ AI Czar; š”ļø NATO Investments in Photonic Glass Chips; š Fast-Track Drug Approval; š§ Anthropic New Protocol; š eVTOL Up and Down; š° MedTech IPO, and more...
An insiderās update on Deep Tech Ventures: Your dose of tech innovations, startups, exponential industries, policies, and market moves to stay ahead and capitalize on it.
Welcome to issue #40 of Deep Tech Briefing, our Sunday column where we break down the week's standout developments in Deep Tech Startups and Venture Capital.
Here, youāll gain unique insights to keep you ahead, competitive, and ready to seize new opportunitiesāand, why not, spark fresh ideas for thought-provoking conversations. :)
This Weekās Main Topics
Trumpās proposed āAI czarā could reshape U.S. tech policy.
Germanyās ā¬30 billion startup plan aims to close funding gaps.
The eVTOL sector faces turmoil with Verticalās rescue and Liliumās collapse.
Anthropic promotes AI standards.
Space tech advances with methane-monitoring satellites and Starlink services.
Cradle leads protein AI innovation; CeriBellās IPO signals a MedTech revival.
Energy innovations face scaling challenges in batteries and fusion technologies.
Quantum computing edges closer to commercialization amid global competition.
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From Washington to Berlin: Power, Politics, and Policy Play the Tech Game of Thrones...
You have to hand it to Donald Trumpāhe knows how to keep the spotlight. With whispers of his administration mulling over an āAI czarā appointment, the former president, fresh off a sweeping electoral victory, seems poised to make artificial intelligence a top-tier issue in Washington. Axios broke the news earlier this week, and while the role remains undefined and unstaffed, itās already setting tongues wagging.
An āAI czarā would oversee federal policy and regulation on AI, consolidating authority in a single figure who wouldnāt require Senate confirmation. This alone makes the position a potential lightning rod for controversy. Trump could scrap Biden-era agency AI officers in favor of a top-down modelāa move that might streamline decision-making but risks losing the expertise embedded within specialized agencies. Axios also floated the possibility of combining the role with a ācrypto czar,ā signaling that emerging technologies could take center stage in Trumpās second term.
Hereās where it gets interesting: Elon Musk and Vivek Ramaswamyākey players in the so-called DOGE coalitionāare rumored to have a hand in selecting candidates for the post. Musk, fresh from a Senate AI forum and already deeply involved in shaping AI norms, could extend his influence into policymaking. While some see this as a win for tech industry alignment, others are wary of the potential for conflicts of interest.
Meanwhile, across the Atlantic, Germany is working on its own innovation agenda. Berlinās cabinet just approved the Second Financing for the Future Act, a bold attempt to bridge the countryās ā¬30 billion annual startup funding gap and stem the flow of talent and companies to the U.S. The legislation proposes tax incentives and reduced red tape to make Germany a more attractive startup hub. However, with a divided parliament and elections looming, its fate is far from certain. Christoph Stresing of the German Startup Association summed it up bluntly: the number of listed companies in Germany has halved since 2007. For investors, the question is whether Germany can finally shed its risk-averse culture and embrace a new era of entrepreneurship.
Back in the U.S., healthcare policy under Trumpās new administration is set for a shake-up. The FDA could return to the fast-tracked drug approval processes seen during his first term, a boon for biotech and medtech startups. But thereās a catch: Robert F. Kennedy Jr., a vocal vaccine skeptic, is reportedly being considered for a health role in the administration. His potential influence on vaccine policy could unsettle investors, even as other sectors look poised to benefit from regulatory loosening.
And then thereās China. The Biden administration is doubling down on restricting Beijingās access to critical semiconductor technologies, with new controls targeting high-bandwidth memory (HBM) chipsāa linchpin for training advanced AI models. The move is designed to curb Beijingās technological ambitions but could disrupt global supply chains and accelerate the development of alternative ecosystems. It raises broader questions about how innovation will evolve in an increasingly fragmented geopolitical context, where access to critical technologies is reshaped by national security concerns.
These developments underscore how policy decisions are increasingly shaping the future of innovation and investment.
The interplay of regulation, market dynamics, and global competition highlights the nuanced challenges and opportunities that define this moment. Whether itās the centralization of AI governance in the U.S., Germanyās ambitious startup reforms, or the tightening screws on Chinaās tech ambitions, the landscape for investors, innovators, and founders is shifting. Itās a reminder that, in this game, staying ahead requires not just capital but a keen understanding of the forces shaping the future.
The AI Wild West: Billion-Dollar Bets, Protocols, Scaling, and Competitive Dynamics
The AI industry never fails to deliver a mix of bold moves and looming challenges, and this week was no exception. From Anthropicās push for open standards to CoreWeaveās ambitious IPO plans and the growing pains of startups navigating private and public markets, the sector continues to showcase its signature blend of innovation and volatility.
Letās start with Anthropic. The companyās Model Context Protocol (MCP) is its latest attempt to tackle one of AIās thorniest problems: integrating systems seamlessly with external data. Itās a big swing. MCP promises to standardize how AI models interact with tools like Google Drive or Slack, and early adopters like Block and Apollo are already onboard. Sounds great, right? But hereās the twist: MCPās success depends on the industry rallying behind an open standardāsomething that rivals like OpenAI arenāt exactly incentivized to do. OpenAI is doubling down on its own proprietary integrations, making MCPās adoption look like an uphill battle. If MCP doesnāt prove its worth with performance metrics and broad adoption, it risks becoming just another unrealized vision in the fragmented world of AI protocols.
Then thereās CoreWeave, aiming for a jaw-dropping $35 billion valuation with its upcoming IPO. This AI infrastructure company, backed by Nvidia, is riding the wave of demand for high-performance computing. Itās carving out a crucial niche, but letās not ignore the elephant in the room: