University of Kwazulu-Natal

Rigetti Computing Faces Risk Of Stock Price Decline In 2026

Bonisiwe Shabane
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rigetti computing faces risk of stock price decline in 2026

Written by Adam Spatacco for The Motley Fool-> Quantum computing stocks are among the hottest plays in the artificial intelligence (AI) industry. Pure-play developers such as Rigetti Computing are among the most popular quantum AI stocks. While Rigetti's momentum looks unstoppable, history suggests the company's valuation is unsustainable. While artificial intelligence (AI) stocks performed strongly throughout 2025, one particular pocket of the AI realm sticks out from the pack: quantum computing. As of market close on Dec.

23, shares of the Defiance Quantum ETF gained 37% on the year -- more than double that of the S&P 500. Analysts are saying that Rigetti Computing could rise by 2030. Bullish on RGTI? Invest in Rigetti Computing on SoFi with no commissions. If it’s your first time signing up for SoFi, you’ll receive up to $1,000 in stock when you first fund your account. Plus, get a 1% bonus if you transfer your investments and keep them there until December 31, 2025.

Rigetti Computing Inc. (RGTI) has been gaining traction with strategic government contracts and advances in quantum computing technology. The company is building out its hardware development pipeline and expanding partnerships, which is reflected in near-term stock price increases while setting the stage for longer-term growth considerations. In this article, we’ll review RGTI’s current price and valuation, examine price-target forecasts through 2030, analyze Wall Street’s latest sentiment, and break down the bullish and bearish outlooks shaping the stock’s risk/reward proposition. Shares of Rigetti Computing are currently trading near all-time highs of around $32 as of October 2025, reflecting significant gains from a 52-week low near $0.75 last October. Recent momentum underscores strong investor interest fueled by expanding market applications for quantum hardware and renewed optimism in the sector.

The company successfully executed an at-the-market equity offering of $350 million in gross proceeds in June, substantially reinforcing its balance sheet and providing a strong cash runway for continued research and development investment. The artificial intelligence boom of 2025 has produced no shortage of headline-grabbing winners, but few corners of the technology market have captured investor imagination quite like quantum computing. Long discussed in academic journals and theoretical physics circles, quantum technology has suddenly emerged as a speculative frontier for public markets. At the center of this enthusiasm sits Rigetti Computing, a pure-play quantum hardware company whose stock performance has become emblematic of both the promise and peril of next-generation computing investments. Rigetti’s rapid ascent has turned it into a poster child for quantum optimism. Its shares surged dramatically during the year, far outpacing broader indices and even many mainstream AI leaders.

For some investors, Rigetti represents an early entry into what could become a multi-trillion-dollar technological transformation. For others, it is a cautionary tale of valuation excess driven more by narrative than fundamentals. Understanding Rigetti’s future requires separating quantum reality from quantum hype. Quantum computing occupies a unique and often misunderstood position within the artificial intelligence ecosystem. Unlike traditional AI systems, which rely on classical computing architectures such as CPUs and GPUs, quantum computing is based on quantum bits—or qubits—that leverage the principles of superposition and entanglement. In theory, this allows quantum systems to process certain classes of problems exponentially faster than classical machines.

From an industry perspective, quantum computing is not a replacement for today’s AI infrastructure. Instead, it is a potential accelerator for extremely complex tasks that overwhelm even the most advanced GPUs. These include molecular simulations, cryptography, financial risk modeling, logistics optimization, and advanced materials science.

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