A newly formed industry coalition called the Agentic Futures Initiative (AFI), backed by firms such as Anthropic and Intuit, is setting up shop in Washington, D.C. to influence U.S. policy on “agentic” or autonomous-acting artificial intelligence systems. According to reporting, AFI aims to fill what one lobbyist called a “massive void” of understanding among lawmakers about these systems, which go beyond generative AI by carrying out actions via connected software and APIs, presenting significant questions of interoperability, privacy, security and competitive structure. The group is urging federal policymakers to adopt open standards and guard against proprietary “walled garden” ecosystems that could lock in users and stifle startups. As the agent-AI wave accelerates in 2025, the initiative signals the AI industry‘s intent to proactively shape rules and guardrails rather than wait for regulation to be imposed.
Key Takeaways
– Industry players are mobilizing politically around agentic AI, reflecting recognition that this next wave of AI demands new policy frameworks beyond generative models.
– The AFI emphasizes interoperability and open ecosystem architecture to prevent dominant platforms from locking in users and excluding smaller firms.
– Security, privacy, and governance concerns tied to agentic AI are gaining traction in Washington, signalling that regulation may follow if the industry does not shape standards proactively.
In-Depth
In tech policy circles, 2025 is shaping up to be the year we move from talking about generative AI—large-language models that respond to prompts—to focusing on what’s often called agentic AI: systems that act on behalf of users, navigate multiple APIs, make decisions and execute workflows autonomously. The launch of the Agentic Futures Initiative (AFI) is the clearest sign yet that the industry is gearing up to engage lawmakers and regulators in Washington to define the rules of the road now, rather than later.
The AFI brings together a mix of established names and newer players—companies like Anthropic and Intuit are listed among its founding collaborators. As noted in the Semafor article, lobby firm Aquia Group described the AFI as a response to “a massive void” in organized policy engagement around agents. The group’s message is straightforward: if the architecture of these systems is allowed to fragment or become dominated by closed ecosystems, innovation may suffer and competition could be locked out. Interoperability, standards akin to the early web, and open access for startups are key goals.
From a conservative viewpoint, the formation of such a constellation highlights two major themes: first, the need to protect free-market competition and guard against platform monopolies in emerging technology; second, the recognition that advances in automation and decision-making software raise real risks in terms of security, accountability and national-economic competitiveness. Agentic AI differs from mere chatbot-style generative models because it interfaces with real workflows—booking tickets, coordinating tasks, managing finances—and those connections introduce third-party dependencies, data-flow exposures, and vulnerabilities that states are only just beginning to grapple with.
One important dimension is national competitiveness. With the U.S. racing against China, Europe and other jurisdictions in determining who sets the rules and who controls the platforms, this lobbying effort is also a strategic move. If U.S. firms can help shape policy toward open architectures and guardrails that favour innovation rather than protectionism, that may help sustain U.S. leadership in AI. On the flip side, if regulation is delayed or shaped primarily by large incumbents, smaller firms may find it harder to compete.
Another dimension is security and regulation. Experts have flagged that existing frameworks—whether federal standards for software development or agency guidance on cybersecurity—are not designed around systems that autonomously act and integrate across multiple software layers. For example, a blog by Zenity notes how Washington has already held hearings and is considering updates to foundational frameworks like the NIST SSDF and SP800-53 to account for agentic systems. Those policy shifts raise the question of how regulation can keep pace with rapid innovation.
For media and publishing professionals, as in your “Underground USA” brand, this development is ripe for narrative: the next frontier of AI agents is now engaging Washington, signalling that the age of decision-making software is here, and with it, debates about control, access, and who reaps the benefits. For broader audiences, the takeaway is that the AI conversation is evolving: we’re no longer just talking about chatbots or image-generation, but autonomous “agents” that may rewire how we work, how companies compete and how law regulates.
In short, the AFI’s creation is more than a lobbying effort—it is a marker that the agentic era of AI is arriving, and industry players are keen to steer it. From the conservative vantage, this effort aligns well with the principle of innovation-friendly regulation: by engaging proactively, the coalition aims to shape guardrails that permit competition, protect consumers and advance national strength rather than stifle enterprise under heavy regulatory burdens. Whether Washington responds with enabling policy or burdensome regulation remains to be seen—but the message is clear: the agentic AI wave is bearing down, and players are positioning accordingly.