Nvidia Still A Compelling Investment. Can It Reach Near PT $200?

nerdbull1669
07:27

Despite $NVIDIA(NVDA)$ lofty valuations, regulatory risks, economic uncertainty, and edge computing shifts pose challenges to long-term AI infrastructure dominance, it remain a Top 2026 Chip pick?

So whether Nvidia (NVDA) can continue to hold the “top AI stock” position in 2026 — and whether its current valuation reflects fundamentals or speculative exuberance.

Hyperscalers GPU Infrastructure Build

If hyperscalers continue to build out this infrastructure, it is hard to see Nvidia's business slowing down anytime soon. We have heard Nvidia announced that it has booked $500 billion in orders for its Blackwell chips and their looming successor, Rubin, through the end of next year, with $150 billion of that already delivered.

Nvidia has enjoy this data center boom which is proven to be highly lucrative. This results in Nvidia having deep pockets to develop and prepare for emerging AI opportunities outside of data centers, such as autonomous vehicles and humanoid robotics. So this might explain why data center chip sales have become nearly the entirety of Nvidia's business. If data center investments dry up, Nvidia would struggle to fill those holes, and the stock would likely collapse.

Data-center AI chips remain Nvidia’s core growth engine. Its GPU ecosystem (both hardware and software like CUDA) is a strong competitive moat across AI training and inference.

Nvidia benefits from hyperscaler demand (Microsoft, Google, Amazon, Meta), sustaining high margins and growth.

Earnings and Cash Flow Strength

Nvidia generates high free cash flow, supports large R&D spend, and maintains robust balance sheet metrics that underpin long-term investment in next-gen AI compute.

Market Growth Tailwinds

Global AI spending and data-center capex are projected to continue expanding well into the mid-2020s, increasing total addressable market for AI infrastructure. Recent forecasts see AI spending rising substantially by 2026.

Nvidia’s fundamentals — enterprise revenue growth, ecosystem advantages, and cash generation — support its leadership position in AI infrastructure over the next few years.

But we need to also understand that despite its strengths, Nvidia faces headwinds. Regulatory scrutiny of AI infrastructure could delay product cycles, while global economic uncertainty may temper hyperscaler spending.

Also Supply chain bottlenecks and energy constraints, also pose operational risks.

Regulatory and Geopolitical Risks

  • Export controls and geopolitics have materially impacted Nvidia’s ability to sell advanced chips (e.g., H20 and Blackwell variants) in China — a meaningful revenue market.

  • Ongoing antitrust scrutiny in China, Europe, and the U.S. could impose additional constraints or compliance costs.

Competition and Market Shifts

  • Hyperscalers are building custom AI silicon, which could reduce Nvidia’s share over time.

  • Traditional competitors (AMD, Intel) and Asian players (Huawei, domestic Chinese chips) are improving performance and cost efficiency.

Edge Computing and Efficiency Trends

  • Trends toward more efficient AI models and inference workloads could moderate demand for top-tier GPUs — especially if lightweight architectures reduce data-center compute intensity.

Valuation Sensitivity

  • Nvidia trades at a significant premium compared to broader markets. Even some intrinsic valuation models view the stock as slightly overvalued relative to discounted cash flows.

The regulatory environment and competitive landscape are material. If geopolitical tensions worsen or customers sufficiently migrate to custom silicon or other architectures, Nvidia’s growth could slow and margins compress.

Valuation: Fundamentals vs Speculative Exuberance

Nvidia's trailing P/E ratio of 47.8 as of December 2025 exceeds the S&P 500's 29.8, reflecting the market's premium pricing for its high-growth profile. However, this multiple appears less extreme when viewed through the lens of forward earnings. The forward P/E of 27.8 suggests that, if earnings continue to meet expectations, the stock could align with broader market valuations. This dynamic is critical: for the premium to hold, revenue and profit growth must outpace the market's demands.

Arguments Supporting Current Valuation

Some analysts project Nvidia continuing as the central compute provider for AI growth over the next decade, which would justify a premium multiple.

Discounted cash flow analysis suggests the current valuation is close to fair value or only modestly overvalued relative to reasonable future growth projections.

Arguments Cautioning Overvaluation

Nvidia’s multiples are well above the S&P 500 average, leaving little margin for error if growth slows.

Some institutional voices have explicitly warned of bubble-like pricing around Nvidia and AI stocks that struggle to translate hype into earnings.

Sector rotation or macro tightening could compress multiples irrespective of operating performance.

The valuation appears to be anchored in strong growth expectations, not outright irrational pricing, but does embed very optimistic assumptions. It is partly justified by fundamentals — yet subject to sizeable downside if growth falters or macro conditions tighten.

Can Nvidia Retain “Top AI Stock” Spot in 2026?

Probability Factors in Favor

Continued dominance in AI data-center GPUs and acceleration with next-gen architectures.

Large base of enterprise and hyperscaler customers with ongoing AI spend.

Deep ecosystem (software + hardware) that competitors find hard to replicate quickly.

Probability Factors Against

Regulatory and geopolitical headwinds that restrict key markets.

Diversifying AI infrastructure investments by hyperscalers into custom chips.

Potential rotation to AI application and services stocks as infrastructure growth normalizes.

Valuation multiple compression in risk-off scenarios.

Balanced Outlook: Nvidia is likely to remain a leading AI infrastructure stock, but maintaining the absolute top valuation premium into 2026 will depend on how well it weathers regulatory pressure, competitive erosion, and broader economic uncertainties.

Strategic Considerations for Investors

Bullish View (Fundamentals Strong)

If Nvidia continues winning data-center and AI compute demand, with expanding software monetization and cloud partnerships, it may justify premium valuation and even accelerate gains.

Cautious View (Valuation & Risks)

If market growth slows, regulation bites, or competitors erode share, the stock could trade lower despite healthy earnings, especially if multiples revert closer to historical tech norms.

Overall Assessment: Nvidia’s fundamentals support leadership in AI infrastructure through 2026, but the valuation premium reflects broad market optimism that could be tested by regulatory, competitive, and macro factors. The stock is not clearly a bubble in strict terms, but does embed high expectations, leaving limited room for negative surprises.

Technical Analysis - Expected Move For Nvidia Price

If Nvidia could moved beyond the high expectations, and AI demand continues, we could see Nvidia trying for the $200 price target again, as we can see that Nvidia remain traded in a positive RSI momentum, and based on what we have seen in past pattern, there might be a build up for a nice upside come 2026.

So I would continue to hold Nvidia in my long term portfolio, and will be planning to use option play to take advantage of potential upside comes 2026.

Possible Option Play For Nvidia In 2026

I am adopting a bullish sentiment for Nvidia into 2026, so I would like to do a Bull Put Spread (Credit Spread) Expiration: January 30, 2026 (Weekly Expiration)

Outlook: Bullish (Needs NVDA > $175)

The $175 strike is currently In-The-Money (ITM) or extremely close to At-The-Money (ATM). This changes the dynamics of the trade compared to a standard "income" put sale:

Directional Risk: Unlike selling a $160 put (where the stock can stay flat or even drop slightly and you still win), selling the $175 put requires NVDA to go up by at least $1.00+ to reach maximum profit.

Assignment Risk: Because the $175 strike is currently ITM, there is a higher risk of early assignment if the stock dips further before expiration, though this is less likely until closer to Jan 30.

High Premium: The benefit of this risk is the premium. You are collecting significantly more credit (often ~50% of the spread width) compared to a safer OTM spread.

Summary

Nvidia is positioned to likely retain its spot as a top AI stock in 2026, though its absolute dominance faces credible threats that make its current valuation a mix of solid fundamentals and speculative optimism.

Fundamentals vs. Speculation Current valuations are largely justified by staggering fundamentals. With data center revenue growing over 60% year-over-year and next-generation Blackwell chips reportedly sold out well into the future, demand continues to outstrip supply. Analysts argue that 2026 represents the "mid-point" of a multi-year infrastructure buildout, supporting a bullish case where earnings catch up to stock price, compressing the forward P/E ratio to attractive levels.

Key Challenges & Risks However, the "speculative exuberance" concern is valid regarding margin of error. Nvidia is priced for perfection, and several headwinds could dampen growth:

Regulatory Risks: Escalating export controls to China and increasing scrutiny over AI safety or antitrust issues in the U.S. and EU could cap total addressable markets.

Edge Computing & Efficiency: As AI shifts from training (massive data centers) to inference (running models on devices), demand may fracture. While Nvidia is pivoting to the edge, this shift opens the door for competitors with cheaper, more energy-efficient chips and custom ASICs from hyperscalers (like Google and Amazon) seeking to reduce reliance on Nvidia.

Economic Uncertainty: A broader economic slowdown could force companies to cut the massive capex spending that fuels Nvidia’s revenues.

While Nvidia’s leadership remains intact due to its software moat (CUDA), its dominance in 2026 will likely be less absolute than in 2024. The stock remains a fundamental titan, but investors should view the extreme upper ends of its valuation as speculative, banking on a flawless execution of the AI roadmap.

Appreciate if you could share your thoughts in the comment section whether you think Nvidia would remain bullish into 2026 and beyond.

@TigerStars @Daily_Discussion @Tiger_Earnings @TigerWire @MillionaireTiger appreciate if you could feature this article so that fellow tiger would benefit from my investing and trading thoughts.

Disclaimer: The analysis and result presented does not recommend or suggest any investing in the said stock. This is purely for Analysis.

Nvidia Still A Top 2026 Chip Pick — Can It Hold After The Breakdown?
Nvidia has extended its recent pullback, breaking below key technical levels. Still, Morgan Stanley remains firmly bullish on the sector, calling semiconductors one of the brightest spots in U.S. equities next year. In its “2026 Top Semiconductor Picks,” Nvidia, Broadcom, and Astera Labs rank at the top. Morgan Stanley argues that the semiconductor upcycle is far from over, driven by seemingly limitless global demand for AI compute. Is this a buy-the-dip moment for Nvidia? Do you expect a rebound tonight — or a classic gap-up-and-sell-the-news session?
Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

Comments

  • Valerie Archibald
    17:34
    Valerie Archibald
    Not really fair to handcuff Nvidia to companies that are actively trying to undercut them. Google is desperately trying to make their TPU’s work with PyTorch because they know what’s coming.

  • Enid Bertha
    17:57
    Enid Bertha
    NVIDIA is increasing H200 production capacity due to high demand from China

  • alexliam
    10:28
    alexliam
    Nvidia shooting to the moon!
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