How High Will NVIDIA Stock Go? 2025 Price Targets Revealed

In the high-stakes world of tech investing, few companies command as much attention—or controversy—as NVIDIA. From powering the explosive growth of artificial intelligence (AI) to redefining the boundaries of gaming and autonomous systems, NVIDIA has cemented itself as a linchpin of the modern digital economy. But as its stock skyrocketed in 2023, surging over 200% on the back of an AI-driven frenzy, investors are now asking: How much higher can NVIDIA go?

The answer lies at the intersection of innovation, market dominance, and macroeconomic tides. With its industry-leading H100 GPUs fueling everything from ChatGPT to cutting-edge climate modeling, NVIDIA isn’t just riding the AI wave—it’s creating it. Analysts project that the company’s data center revenue alone could double by 2025, driven by insatiable demand from cloud giants like AWS, Microsoft Azure, and Google Cloud. Meanwhile, its gaming division continues to thrive, with the RTX 40 Series setting new standards for immersive experiences, and its Omniverse platform quietly building the infrastructure for tomorrow’s metaverse.

But risks loom. Geopolitical tensions, supply chain fragility, and rising competition from AMD and Intel threaten to temper NVIDIA’s momentum. Even bullish Wall Street voices debate whether its sky-high valuation—trading at 30x sales—is justified, or if the stock is primed for a correction.

In this deep dive, we’ll unpack expert 2025 price targets (including forecasts from Morgan Stanley and Goldman Sachs), analyze NVIDIA’s growth catalysts, and explore the make-or-break challenges that could define its trajectory. Whether you’re a long-term believer in CEO Jensen Huang’s vision or a skeptic eyeing the volatility, one thing is clear: NVIDIA’s next chapter will shape not just portfolios, but the future of technology itself.

NVIDIA’s Current Market Position and Growth Catalysts

For the latest updates on NVIDIA’s market dominance and innovation, review their official investor relations latest earnings reports.

(Start with a brief overview of NVIDIA’s dominance in its core markets and why its growth trajectory is unique.)

1: Dominance in AI and GPU Innovation

Expanded Content:

1. Unmatched AI Hardware Leadership

• NVIDIA’s Hopper architecture (H100/H200 GPUs) powers 90% of generative AI workloads, including OpenAI’s ChatGPT and Google’s Gemini.
• Data center revenue surged 200% YoY in 2023, driven by cloud giants like AWS, Azure, and Oracle adopting NVIDIA’s DGX systems.
• The CUDA platform remains the gold standard for AI developers, with 4+ million developers locked into its ecosystem.

1. Software Ecosystem and Industrial Applications

• NVIDIA Omniverse: Used by BMW and Siemens for digital twin simulations, bridging AI with manufacturing and robotics.
• Partnerships with Microsoft Azure AI and Meta for large language model (LLM) training and metaverse infrastructure.

1. R&D Investments and Future Roadmaps

• NVIDIA spends ~25% of revenue on R&D ($7.3B in 2023), focusing on next-gen Blackwell architecture and quantum computing.
• CEO Jensen Huang’s bet on “AI factories”—data centers purpose-built for generative AI workloads.

2: Gaming and Consumer Tech Momentum

Expanded Content:

1. RTX 40 Series: Redefining Gaming Standards

• The GeForce RTX 4090 dominates premium gaming, with ray tracing and DLSS 3.5 adoption in AAA titles like Cyberpunk 2077.
• Esports growth: NVIDIA holds 80% of the discrete GPU market, fueled by demand for high-FPS, low-latency performance.

1. Cloud Gaming and Subscription Models

• GeForce NOW surpassed 25 million users in 2023, capitalizing on the shift to game streaming.
• Partnerships with Microsoft Xbox Cloud Gaming and LG TVs to expand accessibility.

1. Beyond Gaming: VR and Creator Tools

• Collaboration with Meta on VR headsets and Apple Vision Pro for spatial computing.
• NVIDIA Studio drivers empower creators in Blender and Adobe Premiere Pro, merging gaming and professional workflows.

3: Competition in the Semiconductor Space

Expanded Content:

1. AMD’s MI300X Challenge

• AMD’s Instinct MI300X GPUs target AI workloads, offering 1.5x H100 memory capacity—a threat to NVIDIA’s data center margins.
• However, NVIDIA’s CUDA moat and full-stack solutions (hardware + software) give it a 3–5 year lead in developer loyalty.

1. Intel’s Struggles and TSMC’s Role

• Intel’s Gaudi 3 AI chips lag behind in performance, but its $30B Ohio fab investment aims to reclaim manufacturing independence.
• TSMC’s 3nm process: NVIDIA’s reliance on TSMC for cutting-edge chip production creates supply chain risks amid U.S.-China tensions.

1. Custom Silicon from Big Tech

• Google’s TPU v5 and Amazon’s Trainium chips threaten NVIDIA’s monopoly in hyperscaler AI training.
• Counterargument: NVIDIA’s Grace Hopper Superchips (CPU+GPU integration) offer unmatched versatility for hybrid workloads.

Key Drivers of NVIDIA’s Stock Growth Through 2025

(Begin with a brief overview: NVIDIA’s stock trajectory hinges on its ability to dominate emerging tech markets while defending its core businesses.)

1: The AI Infrastructure Gold Rush

Expanded Analysis:

• Generative AI Explosion: NVIDIA’s GPUs power 90% of generative AI workloads, including OpenAI’s ChatGPT, MidJourney, and enterprise tools like Salesforce’s Einstein GPT. Analysts estimate the generative AI market will grow from $40B in 2022 to $1.3T by 2032, with NVIDIA positioned to capture 60-70% of AI chip revenue.
• Data Center Dominance: Cloud providers (AWS, Azure, Google Cloud) are spending $200B+ annually on AI infrastructure. NVIDIA’s data center revenue hit $18.4B in Q1 2024 (up 427% YoY), driven by H100 GPU adoption.
• Full-Stack Advantage: Beyond hardware, NVIDIA’s CUDA software, AI Enterprise Suite, and DGX Cloud subscription service lock customers into its ecosystem.

Stock Impact: Every 10% increase in AI chip demand could add $15B to NVIDIA’s annual revenue by 2025 (Morgan Stanley estimate).

2: Automotive & Robotics: The $300B Self-Driving Bet

Expanded Analysis:

• DRIVE Thor Platform: NVIDIA’s automotive revenue ($1.1B in 2023) is set to double by 2025, fueled by partnerships with Mercedes-Benz (Level 4 autonomy by 2025), Tesla (Dojo supercomputer collaboration), and BYD (China’s EV leader).
• Robotics and Industrial AI: NVIDIA’s Isaac platform powers warehouse robots (e.g., Amazon’s Proteus) and factory automation. The global robotics market (valued at $72B in 2023) is growing at 15% CAGR, with NVIDIA’s edge AI chips central to this expansion.
• Simulation Software: NVIDIA Omniverse simulates autonomous vehicle environments for companies like BMW and Lucid, reducing real-world testing costs by 80%.

Stock Impact: Automotive/robotics could contribute $8–10B annually by 2025, up from $2.9B in 2023.

3: Gaming & the Metaverse: Beyond Consoles

Expanded Analysis:

• RTX 40 Series Adoption: 30 million+ RTX GPUs sold in 2023, with DLSS 3.5 adoption in 90% of AAA games (e.g., Cyberpunk 2077, Alan Wake 2). Gaming revenue hit $2.9B in Q1 2024, up 18% YoY.
• Metaverse Infrastructure: Omniverse connects 3D tools like Blender and Autodesk, enabling developers like Siemens and Lockheed Martin to build industrial digital twins.
• Cloud Gaming Surge: GeForce NOW boasts 25M+ users, with partnerships expanding to Tesla vehicles and LG Smart TVs.

Stock Impact: Gaming remains a cash cow (30% of total revenue), but metaverse/cloud growth could add $5B+ in new revenue streams by 2025.

4: Software & Ecosystem Lock-In

Expanded Analysis:

• CUDA’s Unshakable Moat: 4M+ developers rely on CUDA for AI/ML projects. Competitors like AMD’s ROCm struggle with <10% market share.
• AI Enterprise Suite: A $4,500/annual subscription per GPU licenses AI workflows for enterprises, creating sticky recurring revenue.
• NVIDIA AI Foundry: Partnerships with Microsoft Azure and Oracle Cloud let clients fine-tune AI models on NVIDIA hardware, ensuring long-term dependency.

Stock Impact: Software/services could grow from 5% to 20% of revenue by 2025, boosting margins and valuation multiples.

5: Geopolitical Tailwinds and U.S. Policy

Expanded Analysis:

• Chips Act Funding: NVIDIA stands to benefit from the U.S. $52B CHIPS Act subsidies for domestic semiconductor R&D and TSMC’s Arizona fabs.
• China Alternatives: Despite export bans, NVIDIA’s China-specific H20 GPU could salvage $7B+ in annual sales from Alibaba, Tencent, and Baidu.
• Alliances with Western Tech: NATO’s investments in AI defense systems and partnerships with Palantir for military simulations favor NVIDIA’s government contracts.

Stock Impact: Policy tailwinds could offset 20–30% of revenue risks from China restrictions.

Financial Analysis: 2025 Price Targets and Valuation

(Start with a brief hook: “NVIDIA’s stock has defied gravity in recent years, but can its valuation sustain its AI-driven ambitions? We break down Wall Street’s 2025 targets and the metrics that matter.”)

1: NVIDIA Financial Performance (in Thousands)

Analysis: Is NVIDIA Stock a Good Buy Now?

1. Revenue and Profit Growth:

• Revenue has more than doubled in just one year from $60.9B (2024) to $130.5B (2025), indicating explosive growth.
• Net income jumped from $29.76B to $72.88B, showcasing a high-margin, high-growth business.
• Operating income soared from $32.97B to $81.45B, reflecting strong operational efficiency.

2. Valuation Metrics:

• EPS (Earnings Per Share) Growth:
  • EPS increased from $1.21 in 2024 to $2.97 in 2025, a massive surge.
  • Higher EPS indicates increasing profitability per share, making the stock attractive.
• P/E Ratio (Price-to-Earnings):
  • Current P/E Ratio = Stock Price / EPS
  • If NVIDIA’s P/E ratio is significantly higher than peers (AMD, Intel, etc.), the stock may be overvalued.

3. Is the Stock Price Fair or Overvalued?

• If NVIDIA is trading at a high P/E ratio (e.g., above 50-60x), it might be overpriced.
• If the stock dips to a lower P/E level (e.g., 30-40x), it may become a good entry point.
• If AI & GPU demand continues to skyrocket, NVIDIA could still justify a premium valuation.

4. Recommendation: Should You Buy Now or Wait?

✔ Buy Now If:

• You believe AI, data centers, and gaming will keep NVIDIA’s growth strong.
• You are a long-term investor willing to hold despite short-term volatility.
• NVIDIA’s valuation is reasonable compared to historical averages.

❌ Wait for a Dip If:

• The stock is trading at an excessively high P/E ratio.
• Short-term profit-taking or macroeconomic risks could cause a temporary drop.
• You prefer a better entry price with lower risk.

2: Wall Street’s Bullish Consensus

Expanded Analysis:

• Price Target Range: Analysts project NVIDIA’s stock to reach $800–$1,200 by 2025, with the median target at $1,000 (representing ~25% upside from current levels).
• Morgan Stanley: $1,000 (citing AI data center dominance and software monetization).
• Bank of America: $1,200 (bull case assumes 50% CAGR in data center revenue).
• Goldman Sachs: $900 (balanced view, factoring in geopolitical risks).
• Earnings Growth: FY2025 EPS estimates range from $20–$25, up from $12.96 in FY2024, driven by AI GPU margins (70–80% gross profit).
• Market Cap Milestone: At $1,000/share, NVIDIA’s market cap would hit $2.5 trillion, surpassing Apple as the world’s second-most-valuable company.

Key Metric: NVIDIA trades at 32x forward P/E (vs. 25x for AMD), but bulls argue this premium reflects its AI monopoly.

3: Valuation Breakdown: Is the Premium Justified?

Expanded Analysis:

• P/E Ratio Context:
• NVIDIA’s 5-year average P/E: 40x (peaked at 100x in 2021).
• S&P 500 average P/E: 20x (as of July 2024).
• Bear Argument: A 30x P/E implies NVIDIA must grow earnings 30% annually to justify its price—a high bar post-2025.
• Price-to-Sales (P/S):
• Current P/S: 22x (vs. 10x for AMD and 4x for Intel).
• Justification: AI-driven revenue growth (40% CAGR expected through 2025).
• Free Cash Flow (FCF):
• NVIDIA generated $17.5B FCF in 2023, funding R&D and dividends ($0.16/share quarterly).
• FCF yield: 2.8% (low vs. historical averages, but reinvestment in AI is prioritized).

Investor Takeaway: NVIDIA’s premium hinges on executing AI growth and avoiding a slowdown in GPU demand.

4: The Stock Split Effect

Expanded Analysis:

• Historical Precedent:
• 2021 stock split (4:1): Stock rose 60% post-split due to retail investor accessibility.
• 2024 potential split: NVIDIA’s $900+ price could prompt a 10:1 split to attract smaller investors.
• Liquidity and Sentiment:
• Post-split retail trading typically boosts liquidity (e.g., Apple and Tesla saw surges post-split).
• Short-term volatility risk: Splits don’t change fundamentals but amplify speculative trading.

Stock Impact: A 2024 split could propel NVIDIA into the Dow Jones Industrial Average, broadening institutional ownership.

5: Bear Case: Risks to the Rally

Expanded Analysis:

1. Cyclicality of Semiconductor Demand:

• AI chip orders could slow post-2025 as cloud providers finish infrastructure builds.
• Gaming GPU sales remain tied to consumer spending (recession risk).

1. Competition Eroding Margins:

• AMD’s MI300X and custom AI chips (Google TPU, Amazon Trainium) may undercut NVIDIA’s 80% data center market share.

1. Geopolitical Wildcards:

• U.S.-China tensions could block 15–20% of revenue (2023 China sales: $10.3B).
• Export restrictions on A800/H800 GPUs already forced NVIDIA to launch China-specific H20 chips (lower margins).

Bear Price Floor: If growth slows to 15% CAGR, NVIDIA could stagnate near $600–$700 (20x P/E on $25 EPS).

6: The AI TAM (Total Addressable Market) Factor

Expanded Analysis:

• AI Chip Market Growth:
• Projected to grow from $30B in 2023 to $200B by 2027 (Allied Market Research).
• NVIDIA’s 80% market share in training chips could net $160B annual revenue by 2027.
• Software and Services Upside:
• CUDA licenses and DGX Cloud subscriptions could add $10B/year in high-margin revenue by 2025.
• Diversification:
• Automotive, healthcare AI, and robotics (Omniverse) account for 15% of revenue but are growing at 30%+ CAGR.

Bull Case: If NVIDIA captures 50% of the $1.3T generative AI market (McKinsey estimate), its stock could exceed $1,500 by 2025.

Risks and Challenges to NVIDIA’s 2025 Trajectory

(Intro: NVIDIA’s path to 2025 is paved with unprecedented opportunities—but also formidable roadblocks. Here’s what could derail its dominance.)

1: Geopolitical Tensions and Supply Chain Fragility

Expanded Analysis:

• U.S.-China Tech Cold War:
• Impact: China accounted for ~20% of NVIDIA’s 2023 revenue ($10.3B), but U.S. export bans on A100/H100 GPUs forced the company to create downgraded China-specific chips (H20, L20), which have 50% lower margins.
• Mitigation: NVIDIA is lobbying for exemptions and diversifying into Southeast Asia (e.g., Singapore data centers).
• TSMC Dependency:
• Risk: 90% of NVIDIA’s advanced chips (3nm/5nm) are made by TSMC, exposing it to China-Taiwan tensions. A Taiwan blockade could halt production for 6–12 months.
• Mitigation: TSMC’s Arizona fabs (operational by 2025) will reduce—but not eliminate—this risk.
• Global Chip Shortages:
• 2023 Flashback: Auto/GPU revenue dipped 12% due to shortages. Future shortages could delay product launches (e.g., Blackwell GPUs).

Stock Impact: Geopolitical risks could shave $15–20B off 2025 revenue in a worst-case scenario (Bernstein analysis).

2: Rising Competition in AI and Compute

Expanded Analysis:

1. AMD’s MI300X and Intel’s Gaudi 3:

• AMD’s Instinct MI300X GPUs offer 2.4x more memory bandwidth than H100, appealing to cost-conscious hyperscalers.
• Intel’s Gaudi 3 claims 40% better inference performance than H100, priced 20% lower.

1. Big Tech’s Custom Silicon:

• Google’s TPU v5, Amazon’s Trainium, and Microsoft’s Athena chips threaten NVIDIA’s 80% data center market share. Analysts estimate custom chips will claim 30% of AI training by 2025.

1. Software Threats:

• Open-source frameworks like PyTorch DirectML and AMD ROCm aim to break CUDA’s stranglehold. Success here could erode NVIDIA’s pricing power.

Stock Impact: Every 10% market share loss in AI chips could reduce EPS by $3–4 (Goldman Sachs).

3: Regulatory Scrutiny and Antitrust Pressures

Expanded Analysis:

• EU and U.S. Investigations:
• The EU is probing NVIDIA’s “anti-competitive” CUDA licensing terms, mirroring past actions against Intel and Qualcomm. A ruling against NVIDIA could force ecosystem unbundling.
• FTC Chair Lina Khan has labeled AI a “competitive threat,” signaling potential U.S. action.
• China Retaliation:
• Beijing may favor domestic chips (e.g., Huawei’s Ascend 910B) over NVIDIA’s H20 in state-backed projects, cutting China revenue by 30–40%.
• Defense Contracts:
• NATO’s ethical AI guidelines could limit NVIDIA’s military partnerships (e.g., Palantir, Lockheed Martin).

Stock Impact: Antitrust fines could reach $5–10B (5% of global revenue), per EU precedent.

4: Market Saturation and Cyclical Demand

Expanded Analysis:

• AI Infrastructure “Overbuild”:
• Cloud giants like AWS and Google are stockpiling H100 GPUs. By 2025, demand could plateau as initial AI builds conclude, triggering a 20–30% drop in data center orders (Morgan Stanley).
• Gaming GPU Cyclicality:
• The RTX 40 Series faces saturation, with 20% fewer gamers upgrading PCs annually post-pandemic. AMD’s RDNA 4 and Intel’s Battlemage GPUs will squeeze margins.
• Consumer Spending Downturn:
• A recession could slash gaming revenue (30% of NVIDIA’s total) and delay enterprise AI adoption.

Stock Impact: A cyclical downturn could push NVIDIA’s P/E ratio down to 20x (from 32x), dropping shares to $600–700.

5: Execution Risks and Innovation Gaps

Expanded Analysis:

• Blackwell GPU Delays:
• NVIDIA’s next-gen Blackwell architecture is slated for 2024. A 6-month delay could cede ground to AMD and custom silicon.
• Quantum Computing Threats:
• Companies like IBM and Google are investing in quantum processors that could disrupt classical GPU-based AI by 2030.
• Leadership Dependency:
• CEO Jensen Huang’s visionary leadership is irreplaceable in the near term. Succession planning remains opaque.

Stock Impact: A major product misstep could trigger a 30–40% correction, as seen with Intel’s 10nm delays.

Final Verdict: Should You Invest in NVIDIA for 2025?

(Intro: NVIDIA’s stock is a battleground between AI-fueled euphoria and valuation skeptics. Here’s how to navigate the opportunity—and the pitfalls—as 2025 approaches.)

1: Long-Term Growth vs. Short-Term Volatility

Expanded Analysis:

• AI’s Irreversible Momentum:
• Generative AI adoption is still in its infancy, with only 10% of enterprises deploying it at scale (Gartner). NVIDIA’s hardware and software stack positions it to capture $1.3T of the AI market by 2032 (McKinsey).
• Data center revenue is projected to grow at 35% CAGR through 2025, driven by cloud capex and sovereign AI initiatives (e.g., Saudi Arabia’s $40B AI fund).
• Macroeconomic Wildcards:
• High interest rates could pressure tech valuations: A 1% rate hike historically trims NVIDIA’s P/E ratio by 5–7% (Bloomberg).
• Recession risks: A downturn might delay enterprise AI spending, hitting 25% of NVIDIA’s revenue (data centers + automotive).

Takeaway: NVIDIA is a long-term AI play, but short-term traders should brace for 20–30% swings.

2: Analyst Consensus and Price Target Ranges

Expanded Analysis:

• Bull Case ($1,200+ by 2025):
• Assumes NVIDIA maintains 80% AI chip market share, monetizes software (CUDA, DGX Cloud) at scale, and avoids major geopolitical disruptions.
• Catalysts: Blackwell GPU adoption, Omniverse enterprise contracts, and U.S. CHIPS Act subsidies.
• Base Case ($800–$1,000):
• Reflects moderate competition (AMD gains 15% AI share), cyclical GPU demand, and China revenue halved.
• EPS: $20–$25 (30x P/E implies $600–$750, but AI premium could sustain higher multiples).
• Bear Case ($500–$600):
• Triggers: AI bubble burst, CUDA ecosystem disruption, and a 2025 recession.
• Valuation: 20x P/E on $25 EPS (historically low for NVIDIA but plausible in a downturn).

Analyst Split:

• 65% “Buy” ratings (vs. 55% for AMD), 30% “Hold,” 5% “Sell” (TipRanks).

3: Strategic Moves to Watch

Expanded Analysis:

1. Blackwell GPU Launch (2024):

• Success here is critical to fend off AMD’s MI300X and Intel’s Gaudi 3. Early benchmarks suggest 2x performance gains over H100.

1. Software Monetization:

• NVIDIA’s AI Enterprise Suite (priced per GPU) could grow from 5% to 20% of revenue by 2025, boosting margins to 50%+ net profit.

1. Geopolitical Agility:

• Expansion into “neutral” markets like India and the Middle East to offset China risks. Partnerships with Reliance Jio (India) and NEOM (Saudi Arabia) are key.

1. CEO Jensen Huang’s Vision:

• His focus on “AI factories” and quantum computing R&D could open $100B+ markets—or divert resources from core GPU innovation.

2025 Milestone: The $1,000 stock price hinges on Blackwell adoption + $30B+ software revenue.

4: Investment Strategies for Different Risk Profiles

Expanded Analysis:

• Aggressive Investors:
• Buy dips below $800, leveraging NVIDIA’s volatility. Allocate 10–15% of portfolio, paired with AI ETFs (e.g., BOTZ).
• Conservative Investors:
• Wait for P/E contraction (25x or lower) or dollar-cost average over 6–12 months. Hedge with semiconductor competitors (AMD, AVGO).
• Dividend Seekers:
• NVIDIA’s 0.03% yield is negligible, but its buybacks ($15B authorized in 2024) support per-share growth.

Portfolio Role: Treat NVIDIA as a high-growth anchor, not a stable blue chip.

5: The Bottom Line

Expanded Analysis:

• Why Buy?
• NVIDIA isn’t just a chipmaker—it’s the toll road of the AI revolution. Its full-stack ecosystem (hardware + CUDA + Omniverse) is unmatched.
• Even with competition, the AI chip market is large enough for NVIDIA to sustain 25%+ annual growth through 2030.
• Why Hesitate?
• Valuation remains frothy (32x P/E). A slowdown to 15% growth would trigger a brutal correction.
• Geopolitics and supply chains are wildcards no company can fully control.

Final Recommendation:

• For Long-Term Investors: NVIDIA is a buy-and-hold cornerstone of any tech portfolio, but limit exposure to 5–10%.
• For Traders: Ride the volatility with tight stop-loss orders (~15% downside tolerance).
• For Skeptics: Monitor the Blackwell launch and Q3 2024 earnings for signs of slowing data center demand.

Conclusion

NVIDIA’s 2025 story is a high-stakes bet on AI’s permanence. While risks like competition, regulation, and cyclicality loom large, the company’s technological moats and TAM expansion make it a unique force in tech history. As CEO Jensen Huang quipped, “We’re building the future, one GPU at a time.” Whether that future includes your portfolio depends on your risk appetite—and your belief in AI’s staying power.

Conclusion: NVIDIA’s 2025 Crossroads: Betting on AI’s Future, Navigating Risks

As NVIDIA strides into 2025, it remains a linchpin of the AI revolution, a titan in gaming, and a pioneer in high-performance computing. Its unparalleled ecosystem—spanning cutting-edge GPUs, CUDA’s developer dominance, and Omniverse’s industrial applications—positions it to capitalize on trillion-dollar opportunities in AI, robotics, and beyond. Yet, this journey is far from risk-free. Geopolitical friction, competitive pressures, and market cyclicality could test even Jensen Huang’s visionary leadership

For investors, success hinges on vigilance: scrutinize quarterly earnings for data center growth, track U.S.-China chip policy shifts, and watch for Blackwell GPU adoption rates. NVIDIA’s stock isn’t just a ticker—it’s a proxy for the future of technology itself.

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