Quantum and AI shifts reshape key tech players

Google (GOOGL) has issued a public warning about the long term security risks that quantum computing could pose to mainstream cryptocurrencies such as Bitcoin and Ethereum. The concern centers on the cryptography that underpins these networks, raising questions about how secure current encryption standards will remain as quantum capabilities evolve.

This warning places a regulatory style question mark over the digital assets that rely on existing cryptographic methods. If supervisors and policymakers begin to see current encryption as time limited, it could accelerate calls for new standards in areas such as key management, wallet design and migration to quantum safe algorithms.

Coinbase Global (COIN), a major crypto exchange and custodian, sits at the center of trading and storage for a wide range of digital assets. CEO Brian Armstrong has responded to Google’s (GOOGL) warning by calling for the crypto industry to address quantum threats to digital assets more proactively rather than treating them as a distant academic issue.

The company is positioning quantum security as a core question for future crypto infrastructure. Leadership at Coinbase (COIN) is openly engaging with quantum risk, suggesting it may influence long term product design, security priorities and industry partnerships as the firm seeks to safeguard assets it holds for both retail and institutional clients.

For investors following Coinbase, this focus differs from the usual attention on trading volumes, fee structures or near term regulatory developments. Instead, it goes to the fundamentals of how digital assets are secured and how prepared exchanges and custodians are for potential shifts in encryption standards driven by quantum advances.

Should regulators press for quantum safe approaches, platforms like Coinbase that sit between retail users, institutions and products such as token backed mortgages or onchain data feeds may face new expectations. Failure to keep pace with evolving requirements could affect licenses, custodial mandates or how supervisors compare firms like Coinbase with traditional exchanges and custodians.

In a separate quantum related development, Real Asset Acquisition Corp. and IQM Finland Oy have confidentially submitted a draft Form F-4 registration statement to the U.S. Securities and Exchange Commission. This marks a key step in their planned SPAC merger, which targets a mid-2026 listing of IQM on a major U.S. exchange.

The proposed transaction is intended to give IQM, a quantum computing specialist, increased access to public market financing. However, the parties highlight several risks to the deal and its aftermath, including challenges in commercializing quantum technologies, navigating regulation and the potential for shareholder redemptions common in SPAC structures.

On 30 March 2026, Quantum Corridor and Quantum Computing Inc. announced the installation of a QCi Dirac-3 quantum optimization machine at the Digital Crossroad Data Center in Hammond, Indiana. Access to the system is provided over Quantum Corridor’s high speed, quantum enabled fiber network.

This is the first commercial data center deployment of Dirac-3 and is integrated with Toshiba’s Quantum Key Distribution secured 10G link. The arrangement introduces a subscription based access model that aims to broaden institutional and enterprise use of QCi’s quantum hardware across the U.S. Midwest region.

For Quantum Computing Inc., the deployment offers an early test of whether its room temperature photonic quantum systems can move from niche pilots to practical, revenue generating uses. It modestly strengthens the near term catalyst of turning hardware into recurring access revenue, while existing risks such as very small current revenue and rising operating costs remain in view.

The company is also working with partners on quantum secure communications, including a March collaboration with Ciena focused on high capacity encrypted optical channels. Together with the Hammond deployment, these efforts highlight a strategy of pairing quantum hardware with secure networking in order to develop repeatable products rather than one off research contracts.

SpaceX is preparing to go public and could stage one of the largest initial public offerings on record. After filing confidentially to list, the company is reportedly seeking a valuation of up to $2 trillion, according to Bloomberg, though CEO Elon Musk has pushed back on that figure.

The company was valued at $1.25 trillion in February based on estimates from its board of directors and investment bankers when it combined with xAI, Musk’s AI company that owns the X social media site and the chatbot Grok. The targeted valuation represents a significant increase from that level.

Operationally, SpaceX dominates the market for commercial orbital space launches through reusable rockets such as Falcon 9. Its Starlink business is also described as the world’s largest satellite operator, leading the satellite based broadband market with more than 9 million customers, which underpins much of the growth narrative around the IPO.

Reuters has reported that SpaceX generated revenue of $15 billion to $16 billion in 2025, up from $13.1 billion in 2024, and produced around $8 billion in EBITDA. On the reported $2 trillion valuation, that implies a price to sales ratio of roughly 130, higher than any S&P 500 (SPX) stock and more than three times higher than any S&P 500 (SPX) stock except Palantir.

At such levels, expectations embedded in the prospective listing are substantial, with commentary noting that SpaceX would be valued in the same echelon as large technology companies often grouped as the “Magnificent Seven,” which generally report substantially higher revenue and profit. Observers warn that this could leave the stock vulnerable if financial performance or market sentiment fail to match those expectations.

NVIDIA’s (NVDA) role in AI infrastructure expanded further after Planet Labs completed real time AI object detection onboard its Pelican-4 satellite using NVIDIA (NVDA) Jetson Orin modules. The company described this as marking a first for in-orbit AI inference by running the workload directly in space rather than after downlinking data to Earth.

The in-orbit processing aims to shorten the delay between image capture and actionable insight, which is important where latency and bandwidth are constrained. NVIDIA’s GPUs and Jetson edge modules already power many AI workloads in data centers and at the edge, and the Pelican-4 use case now adds space-based inference to that footprint.

Beyond satellites, NVIDIA is supplying hardware and platforms for partners in telecommunications and industry clouds that are building AI capable networks and data centers. As more operators such as Planet Labs and telecom partners including Marvell adopt similar architectures, NVIDIA’s breadth across AI infrastructure markets becomes a factor for investors assessing its role in the broader AI supply chain.

Simply Wall St notes that NVIDIA shares recently traded at about US$178.10 compared with a consensus analyst target of US$268.22, roughly 34% below that average target. The shares are described as trading close to an estimated fair value, while the stock has recorded a 30 day return of about a 2.5% decline despite high profile AI milestones such as the Pelican-4 deployment.