Martin Shkreli Publishes Bull Case for Photonic Computing
Written by Emily J. Thompson, Senior Investment Analyst
Updated: 4 days ago
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Should l Buy NVDA?
Source: Benzinga
- Photonic Computing Potential: Martin Shkreli argues in his Substack essay that photonic computing can perform matrix operations using light instead of electrical signals, potentially reducing computation time from cubic to near-linear, which could have significant market implications if realized.
- Investment and Advisory Role: Shkreli has been a strategic advisor to Q/C Technologies Inc. since December, emphasizing his confidence in photonic computing, which may attract more investor interest in this emerging field.
- Market Reaction and Risks: While Shkreli's insights could lead to a reevaluation of market predictions for companies like Nvidia, skepticism remains regarding the near-term threat of photonic computing, indicating cautious investor sentiment towards this technology.
- Company Financials: QCLS is facing financial challenges with a trailing twelve-month net loss of approximately $23.4 million and minimal revenue, and although its stock rose 27% on Thursday, it remains significantly below its 52-week high, reflecting uncertainty about its future prospects.
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Analyst Views on NVDA
Wall Street analysts forecast NVDA stock price to rise
41 Analyst Rating
39 Buy
1 Hold
1 Sell
Strong Buy
Current: 182.650
Low
200.00
Averages
264.97
High
352.00
Current: 182.650
Low
200.00
Averages
264.97
High
352.00
About NVDA
NVIDIA Corporation is a full-stack computing infrastructure company. The Company is engaged in accelerated computing to help solve the challenging computational problems. The Company’s segments include Compute & Networking and Graphics. The Compute & Networking segment includes its Data Center accelerated computing platforms and artificial intelligence (AI) solutions and software; networking; automotive platforms and autonomous and electric vehicle solutions; Jetson for robotics and other embedded platforms, and DGX Cloud computing services. The Graphics segment includes GeForce GPUs for gaming and PCs, the GeForce NOW game streaming service and related infrastructure, and solutions for gaming platforms; Quadro/NVIDIA RTX GPUs for enterprise workstation graphics; virtual GPU software for cloud-based visual and virtual computing; automotive platforms for infotainment systems, and Omniverse Enterprise software for building and operating industrial AI and digital twin applications.
About the author

Emily J. Thompson
Emily J. Thompson, a Chartered Financial Analyst (CFA) with 12 years in investment research, graduated with honors from the Wharton School. Specializing in industrial and technology stocks, she provides in-depth analysis for Intellectia’s earnings and market brief reports.
- Significant Performance Growth: Nvidia achieved record revenue of $68 billion in Q4 of fiscal 2026, representing a 73% year-over-year increase, with earnings per share (EPS) soaring to $1.76, up 98%, demonstrating the strong demand driven by AI and solidifying its market leadership.
- Market Share Advantage: Nvidia holds a dominant 92% share in the data center GPU market, and with its leadership in AI and cloud computing, the company anticipates continued revenue growth, projecting first-quarter revenue of $78 billion, a 77% year-over-year increase, which will further enhance its competitive edge.
- Analyst Outlook: Tigress Financial analyst Ivan Feinseth reiterated a strong buy rating on Nvidia, raising the 12-month price target to $360, forecasting the company will generate $406 billion in revenue and $201 billion in operating profit over the next year, reflecting strong market confidence in its growth prospects.
- Investor Confidence Rebound: Despite concerns about an AI bubble shaking some investors, 90% of retail investors plan to maintain or increase their AI holdings, indicating long-term optimism for Nvidia, with the current stock price being relatively undervalued, presenting a buying opportunity for seasoned investors.
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- Strong Market Demand: Nvidia's GPUs have become the primary hardware for training AI models, with revenue projected to grow by 70% to over $360 billion by fiscal 2027, indicating robust market demand and future growth potential in the AI sector.
- Profitability Surge: With a profit margin exceeding 50%, Nvidia is expected to become the most profitable company globally by year-end, surpassing Alphabet, showcasing its profitability and market leadership in a high-demand environment.
- Valuation Rebound Potential: Currently trading at a price-to-earnings ratio of about 22 times, significantly lower than the historical range of 40 to 50 times, if market sentiment improves, a return to a 45 times valuation could double the stock price, reflecting its reasonable valuation potential.
- Long-term Investment Confidence: Despite cautious market sentiment regarding the AI sector, hyperscalers are likely to continue investing in infrastructure, believing the risk of underinvestment is greater, suggesting that by 2026, market sentiment may recover, further driving Nvidia's stock price upward.
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- Limited Market Potential: While the outlook for small modular reactors (SMRs) appears promising, Precedence Research forecasts that the industry will only generate $16 billion annually by 2034, contrasting with NuScale's current market cap of nearly $4 billion, indicating a constrained market size.
- Significant Operational Risks: Currently, only two small reactors are operational, neither built by NuScale, and despite several approved designs, actual deployment may not occur until after 2030, adding uncertainty to investment prospects.
- Low Return Expectations: Investors may need to commit $100,000 rather than $10,000 to see substantial returns, which makes many investors cautious about this high-risk opportunity, especially in the absence of a mature market.
- Intensifying Competition: In addition to NuScale, companies like Nano Nuclear Energy and Oklo are also developing SMRs, and while NuScale does not need to capture the entire market, it must secure a reasonable share to achieve profitability.
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- Broadcom's Strategic Shift: Broadcom has successfully transformed into a powerhouse in infrastructure software and AI through strategic partnerships with hyperscalers, which is expected to drive sustained growth moving forward.
- Significant AI Revenue Contribution: Broadcom estimates that AI networking components will account for 33% to 40% of its total AI revenue in any given quarter, indicating that AI networking contributed approximately $3.1 billion in Q1 FY2026, showcasing its strong performance in the AI market.
- Nvidia's Efficient Platform: Nvidia's Rubin platform reportedly reduces inference costs by 90% through co-designing with CPU and networking hardware, maintaining its competitive edge in the data center market.
- Investor Choices: Both Broadcom and Nvidia are positioned as foundational AI growth stocks for long-term investors, with Broadcom appealing to those seeking stable dividends, while Nvidia may attract those looking to concentrate on the growing demand for data center compute.
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- Business Model Transformation: Broadcom has successfully transformed into an infrastructure software and AI powerhouse by developing custom AI accelerators, such as TPUs for Alphabet and Anthropic, which is expected to significantly drive growth in its data center solutions.
- Revenue Structure Optimization: Broadcom estimates that AI networking components will account for 33% to 40% of its quarterly AI revenue, indicating that in Q1 FY2026, AI networking could contribute approximately $3.1 billion, highlighting its critical role in the AI market.
- Sustained Shareholder Returns: In its latest quarter, Broadcom returned $3.1 billion in dividends and $7.8 billion in stock buybacks, having raised its dividend for 15 consecutive years, with a staggering 13-fold increase over the past decade, showcasing its robust capital management capabilities.
- Significant Competitive Advantage: Unlike Nvidia, Broadcom is more diversified in its AI chip and networking business; while both companies rely on a handful of hyperscalers, Broadcom's non-AI semiconductor and infrastructure business remains larger, demonstrating its solid position in the market.
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- Oil Price Impact: Major indexes erased early gains on Tuesday due to significant swings in oil prices, indicating the market's sensitivity to energy price volatility, which could lead to cautious investor sentiment and affect short-term trading strategies.
- Strong AI Stock Performance: Despite the overall market retreat, AI-related stocks showed robust performance, reflecting investor confidence in the continued growth potential of this sector, which may attract more capital inflows into related tech stocks.
- Oracle's Earnings Boost: Oracle's stock surged following its earnings report, demonstrating strong performance in cloud computing and software services, which could further enhance market focus and investment enthusiasm for tech stocks.
- Increased Market Volatility: The overall market is experiencing heightened volatility in investor sentiment due to oil price fluctuations and mixed stock performances, potentially increasing uncertainty in the short term and impacting investment decisions and capital flows.
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