On September 15, 2026, three seemingly unrelated pieces of news were compressed together on the same timeline: In Washington, the final compromise version of the CLARITY Act, which is hoped to "normalize" crypto assets, was just announced, but Republican Senator Cynthia Lummis stated that Democrats still demanded further changes after seeing the text containing 114 concessions, describing the deadlock with "they always want more, if we wait another month, they will propose more demands"; in the on-chain world, Balancer, which has just completed a cost restructuring and delivered v3 products including Boosted Pools, had its head Marcus propose a governance proposal for a "gradual shutdown agreement" due to a lack of improvement in revenue, throwing the life-and-death decision back to the DAO community; and on the other side of the contraction in crypto regulation and DeFi business, in the AI sector, OpenAI acquired the mobile imaging company Glass Imaging for over $300 million, while Cornelis secured $205 million in financing to enhance the full-stack infrastructure from endpoint experience to computing networks. On the same stage, Trump downplayed concerns about AI during a call with Jensen Huang, further highlighting the temperature difference in policy towards different technological paths. This article will trace the disjointed rhythm of technology and regulation within this time window along the lines of the United States' crypto legislative game, on-chain protocol governance decisions, and the acceleration of AI capital.

114 Concessions Don't Bring Nods: CLARITY Act Stalemate

According to a single source, over the past weekend, Senate Republicans revealed the final compromise version of the CLARITY Act, with Cynthia Lummis emphasizing that it includes as many as 114 specific policy concessions—from textual expressions to regulatory boundaries, almost everything that could be changed has been changed. But in her account, the negotiating counterpart did not stop there. Lummis bluntly stated that Democrats "always want more, if we wait another month, they will propose more demands." The reality reflects this: more and more Democratic senators have an open attitude towards supporting the bill known as the Clarity Act "in principle," but after seeing the final text, they focused their criticism on the ethical clauses, believing that the constraints still have a clear gap compared to their expectations for industry behavior boundaries.

The deadlock is stuck here. Some Democratic senators who previously voted in favor during the committee stage, helping the bill enter the review process, are now deliberately keeping silent—according to a single source, they originally expected to add a stronger ethical constraint before the full vote, but since it didn't come, they have no motivation to endorse the current draft. Procedurally, the bill has not been formally rejected; politically, however, it has already fallen into the game of "whoever concedes first bears the blame," making it difficult to see a pathway for smooth passage in the short term. For the U.S. crypto and DeFi ecosystem, this means compliance expectations remain unresolved: project parties cannot determine where future reviews and behavioral red lines will be drawn, and institutions find it difficult to establish a long-term layout framework, forcing everyone to experiment in the regulatory gray area while waiting to see if the next version of the text will truly arrive.

From Self-Rescue to Shutdown Proposal: Balancer's Bear Market Dilemma

Against the backdrop of continued regulatory uncertainty, Balancer chose to start with self-initiated measures. According to a single source, the team had previously moved forward with a thorough restructuring as planned: first stopping token emissions and cutting inflation subsidies to the outside; then directing all protocol revenue to the DAO treasury, which is now managed by the on-chain treasury rather than the team account; simultaneously reducing operational budgets, downsizing the team, and compressing costs to the limit. Marcus had previously emphasized that Balancer v3 has been delivered according to the roadmap, including new products like Boosted Pools—demonstrating that the protocol has not "laid flat" in terms of code and product iteration.

The issue lies on another side. Marcus stated that the cost-cutting plan has been basically executed, but revenue growth has not taken off, exposing that under the long-term downturn and overlapping policy uncertainties, simply "saving money" is not enough to sustain the future of an established protocol. Therefore, in the latest governance discussion, he threw out a more radical option: formally write into the proposal to "gradually shut down the Balancer protocol," allowing the community to vote on whether to take this path on-chain. Bringing the possibility of shutdown onto the governance stage itself is a statement—regardless of ongoing technical iterations, as long as there is a lack of a certain external environment and a sustainable protocol revenue model, even former leading protocols must seriously discuss how to exit this lengthy bear market in an orderly manner.

OpenAI Spends Over $300 Million: AI Captures Mobile Imaging Entry

When a senior DeFi protocol writes "orderly shutdown" into its governance proposal, the AI sector on the other side has presented a completely opposite betting strategy within the same time window. According to a single source, TechCrunch cited a report from The Wall Street Journal stating that OpenAI has spent more than $300 million to acquire the smartphone camera company Glass Imaging. Glass was founded by two former Apple engineers and focuses on optimizing the imaging effects of various smartphone camera systems using AI: generating higher quality images at the moment the user presses the shutter through learning the hardware characteristics of various camera setups via neural networks, rather than applying filters to photos afterward with AI.

This acquisition extends OpenAI's territory from models and software all the way to the image acquisition and processing stages that rely on hardware and sensors, directly reaching for the "smartphone camera," which is the largest entry point for everyday traffic. Mastering the critical link from light entering the lens to pixel production means that in the future, whoever can dominate the endpoint imaging experience has a greater opportunity to embed its AI services into users' daily shooting scenarios. In comparison to Balancer's on-chain discussions on how to exit gracefully under revenue pressure, the AI application end is playing out a different logic: a large-scale resource competition surrounding user entry points and endpoint experiences has become the main battleground for current capital and technology teams.

$205 Million in Computing Power Financing Coupled with Trump’s AI "Endorsement"

If endpoint imaging captures user entry, then Cornelis is seizing that kilometer where data runs in data centers. The company, spun off from Intel in 2020, focuses on creating more efficient network communication technology for AI chips, recently announced completing $205 million in financing, led by IAG Capital Partners, according to a single source. Cornelis's Active Compute Fabric, which is being pitched externally, targets the old issue of "massive GPU computing power being wasted waiting for data"—today, as training and inference scales grow, the bottleneck often lies not in the chips themselves, but in how data is exchanged faster between chips. According to a single source, this product attempts to weave a smarter network above computing clusters, allowing GPUs to spend less time waiting and more time computing.

Narratively, Cornelis is attempting to enter the computing network track with a more open architecture, tearing a new interface in a system traditionally dominated by a few hardware and network giants. If successfully implemented, it will pose a substantial challenge to the existing dominant manufacturers' technology routes. Almost simultaneously with this computing infrastructure financing, at the All-In Summit venue, NVIDIA CEO Jensen Huang answered a phone call from U.S. President Trump and put it on speakerphone, according to a single source. During the call, Trump downplayed various concerns surrounding AI, calling them "hoaxes," and stated, "robots will not take over the world," also mentioning topics related to data (specific contents were not fully disclosed). This scene can almost be interpreted as a public "endorsement" of the AI industry. On one side, hundreds of millions are being poured into infrastructure for computing power, while on the other, the president publicly reassures and sets a tone for AI. In the same timeframe, the U.S. is still wrestling with ethical clauses in the Clarity Act regarding crypto; this contrasting warmth and coldness itself is the most intuitive annotation of the current disparity between AI and crypto in terms of politics and capital environment.

Legislative Delays and Track Divergence: The Rise and Fall of Crypto and AI

Placing the several lines of clues together today reveals a clear dividing line: on one side, the CLARITY Act is delayed in ethical clause delivery; even though the Republican party has made 114 concessions in the final compromise version, some Democratic lawmakers who were willing to push for review have paused due to expectations of a stronger ethical constraint; on the other side, after Balancer stopped token emissions, directed all protocol revenue to the DAO treasury, reduced budget and team size, while delivering v3 including Boosted Pools as planned, it was still faced with revenue not meeting expectations, leading its head Marcus to directly propose a "gradual shutdown of the protocol," leaving governance to decide. In an environment where regulatory delays coincide with pressure on protocol revenues, the next more realistic topic for crypto and DeFi participants is not to find a new narrative, but to closely monitor regulatory directions and the sustainability of the protocols themselves: the game over ethical clauses will determine whether the CLARITY Act leads to stricter or looser regulations, deciding which assets and structures have compliance maneuvering space in the next few years; discussions in the Balancer community around whether to shut down and how to manage treasury and user liquidity might provide other revenue-pressured protocols with a template for a dignified exit or self-rescue; on the other end, with OpenAI acquiring Glass Imaging for over $300 million, Cornelis securing $205 million in financing, coupled with Trump downplaying AI risks in public, whether such examples of simultaneous investments in application entry and computing networks will continue to occur will determine whether AI's high heat is a short-term sentiment or a policy and capital trend capable of long-term suppression of crypto's discourse power.

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