Dan Ives Anticipates a 'Remarkable 2026' for Tesla and Nvidia, Notes Bears Are Still Observing from 'The Sidelines'
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Dec 11 2025
0mins
Should l Buy GOOG?
Source: Benzinga
Dan Ives' Bullish Outlook: Dan Ives, Global Head of Tech Research at Wedbush Securities, remains optimistic about the U.S. technology sector, predicting a "magical year" for Tesla and highlighting Nvidia as a leader in the early stages of the AI revolution.
Tesla and Nvidia as Key Players: Ives identifies Tesla and Nvidia as the top "physical AI plays," with Tesla's focus on autonomy and robotics expected to be pivotal by 2026, while Nvidia continues to lead the foundational infrastructure of the tech boom.
Continued Tech Rally: Despite recent tech market gains, Ives believes the bull run is far from over, projecting the Nasdaq could reach between 25,000 and 30,000 in the next 12 to 24 months, with growth extending to emerging software companies.
Opportunities Amid Volatility: Acknowledging potential market volatility due to geopolitical tensions, Ives views these moments as opportunities to invest in leading companies in the AI sector.
Trade with 70% Backtested Accuracy
Stop guessing "Should I Buy GOOG?" and start using high-conviction signals backed by rigorous historical data.
Sign up today to access powerful investing tools and make smarter, data-driven decisions.
Analyst Views on GOOG
Wall Street analysts forecast GOOG stock price to rise
15 Analyst Rating
14 Buy
1 Hold
0 Sell
Strong Buy
Current: 306.360
Low
255.00
Averages
336.08
High
400.00
Current: 306.360
Low
255.00
Averages
336.08
High
400.00
About GOOG
Alphabet Inc. is a holding company. The Company's segments include Google Services, Google Cloud, and Other Bets. The Google Services segment includes products and services such as ads, Android, Chrome, devices, Google Maps, Google Play, Search, and YouTube. The Google Cloud segment includes infrastructure and platform services, collaboration tools, and other services for enterprise customers. Its Other Bets segment is engaged in the sale of healthcare-related services and Internet services. Its Google Cloud provides enterprise-ready cloud services, including Google Cloud Platform and Google Workspace. Google Cloud Platform provides access to solutions such as artificial intelligence (AI) offerings, including its AI infrastructure, Vertex AI platform, and Gemini for Google Cloud; cybersecurity, and data and analytics. Google Workspace includes cloud-based communication and collaboration tools for enterprises, such as Calendar, Gmail, Docs, Drive, and Meet.
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.
Investment Strategies Amidst Market Turbulence in the S&P 500
- Market Performance Review: The S&P 500 index has gained 78% over the past three years despite facing challenges, reflecting investor optimism about AI stocks and the positive impact of a lower interest rate environment, which has driven broader market gains.
- AI Investment Concerns: Recently, investors have expressed worries about the rapid spending on AI and the lofty valuations of certain growth stocks, fearing that if revenue falls short of expectations, it could lead to significant price drops, contributing to market volatility.
- Geopolitical Impact: The escalation of conflict between the U.S. and Iran has further heightened market anxiety, causing the S&P 500 to swing between gains and losses, resulting in little change year-to-date, indicating the fragility of market sentiment.
- Long-Term Investment Advice: In uncertain market conditions, investors are advised to focus on quality companies, pay reasonable prices, and hold for the long term; historical data shows that the probability of loss drops to about 12% when holding investments for over five years, and to less than 5% for over 11 years, underscoring the importance of long-term investing.
See More
Comparison of AI Strategies by Home Depot and Lowe's
- AI Application Focus: Home Depot's partnership with Google to develop the Magic Apron assistant aims to provide contractors with project advice and product information, enhancing customer service efficiency and strengthening its competitive position in the contractor market.
- DIY Market Strategy: Lowe's collaboration with OpenAI to launch the Mylow digital assistant focuses on helping DIY customers and employees improve sales efficiency, aiming to enhance customer experience and increase market share through an AI-powered virtual advisor.
- Financial Performance Comparison: Although both companies reported a 3% increase in net sales for 2025, their profitability slightly declined due to rising operating costs, indicating a focus on employee productivity.
- Valuation Differences: Home Depot's price-to-earnings ratio stands at about 26 times, higher than Lowe's 22 times, and its dividend yield of 2.4% compared to Lowe's 1.8% may make it more attractive to investors, potentially justifying its higher valuation.
See More
Nvidia's Data Center Drives Growth with AI Innovations
- Data Center Dominance: Nvidia's fiscal 2026 revenue reached $215.9 billion, with data centers contributing 89.7%, highlighting its strong demand in the AI sector and market leadership, which will continue to drive growth.
- New Product Architecture: The newly launched Rubin architecture features six new chips designed to capitalize on the 'agentic AI inflection point', enhancing computational capabilities and providing robust support for enterprise-level AI applications, likely expanding market share.
- Physical AI Potential: Although physical AI contributed over $6 billion to Nvidia's 2026 revenue, accounting for less than 3% of total revenue, the anticipated proliferation of autonomous driving and robotics is expected to create hundreds of billions in market opportunities, driving diversified growth.
- Long-Term Growth Outlook: Nvidia's investment strategy does not rely on the rapid rise of physical AI, as its existing generative AI business is already a high-margin cash cow, and widespread adoption of agentic AI will further enhance the company's overall growth potential.
See More
Nvidia Reports Record Revenue for Fiscal 2026
- Impressive Financials: Nvidia achieved a record $215.9 billion in revenue and $120.1 billion in net income for fiscal 2026, demonstrating strong performance in the data center segment, which is expected to continue driving stock growth over the next decade.
- Data Center Dominance: Data centers accounted for 89.7% of Nvidia's fiscal 2026 revenue, and while other segments like gaming and AI personal computing contribute less, there remains significant growth potential in these areas.
- New Product Architecture: The newly launched Rubin architecture features six new chips designed to support generative and agentic AI applications, which are expected to drive enterprise adoption of AI agents and expand market opportunities.
- Physical AI Market Potential: Nvidia's physical AI has already contributed over $6 billion in revenue for fiscal 2026, and although it currently serves niche markets, the expected proliferation of robotaxis and robotics could generate hundreds of billions in revenue over the next decade.
See More
Broadcom May Gain from AI, While Nvidia's Stock Decline After Earnings Could Signal Trouble.
Earnings Outlook: Broadcom's earnings are expected to be strong due to increased demand for artificial intelligence technologies.
Market Sentiment: Despite the positive earnings outlook, shareholders should brace for a potentially muted reaction in the stock market as overall sentiment remains uncertain.
See More
AI Models Prefer Bitcoin Over Fiat Currencies, Study Finds
- AI Preference for Bitcoin: A report from the Bitcoin Policy Institute reveals that 22 out of 36 tested AI models favored Bitcoin as their top monetary choice, indicating Bitcoin's potential dominance in future economic activities.
- Innovative Experiment Design: Researchers treated 36 frontier models as independent economic agents, allowing them to freely choose monetary instruments across 28 scenarios, generating 9,072 responses that ensured objectivity and diversity in results.
- Developer Preference Variations: Significant differences in Bitcoin preference were observed among AI developers, with Anthropic models showing a preference rate of 68.0%, while OpenAI models only preferred Bitcoin 25.9% of the time, highlighting the influence of technical backgrounds on monetary choices.
- Cautious Market Predictions: Despite the consistent trends shown in the study, Zell cautions investors against interpreting these findings as market predictions, emphasizing that AI model preferences reflect training data patterns rather than real-world forecasts.
See More
Investment Strategies Amidst Market Turbulence in the S&P 500
- Market Performance Review: The S&P 500 index has gained 78% over the past three years despite facing challenges, reflecting investor optimism about AI stocks and the positive impact of a lower interest rate environment, which has driven broader market gains.
- AI Investment Concerns: Recently, investors have expressed worries about the rapid spending on AI and the lofty valuations of certain growth stocks, fearing that if revenue falls short of expectations, it could lead to significant price drops, contributing to market volatility.
- Geopolitical Impact: The escalation of conflict between the U.S. and Iran has further heightened market anxiety, causing the S&P 500 to swing between gains and losses, resulting in little change year-to-date, indicating the fragility of market sentiment.
- Long-Term Investment Advice: In uncertain market conditions, investors are advised to focus on quality companies, pay reasonable prices, and hold for the long term; historical data shows that the probability of loss drops to about 12% when holding investments for over five years, and to less than 5% for over 11 years, underscoring the importance of long-term investing.
See More
Comparison of AI Strategies by Home Depot and Lowe's
- AI Application Focus: Home Depot's partnership with Google to develop the Magic Apron assistant aims to provide contractors with project advice and product information, enhancing customer service efficiency and strengthening its competitive position in the contractor market.
- DIY Market Strategy: Lowe's collaboration with OpenAI to launch the Mylow digital assistant focuses on helping DIY customers and employees improve sales efficiency, aiming to enhance customer experience and increase market share through an AI-powered virtual advisor.
- Financial Performance Comparison: Although both companies reported a 3% increase in net sales for 2025, their profitability slightly declined due to rising operating costs, indicating a focus on employee productivity.
- Valuation Differences: Home Depot's price-to-earnings ratio stands at about 26 times, higher than Lowe's 22 times, and its dividend yield of 2.4% compared to Lowe's 1.8% may make it more attractive to investors, potentially justifying its higher valuation.
See More
Nvidia's Data Center Drives Growth with AI Innovations
- Data Center Dominance: Nvidia's fiscal 2026 revenue reached $215.9 billion, with data centers contributing 89.7%, highlighting its strong demand in the AI sector and market leadership, which will continue to drive growth.
- New Product Architecture: The newly launched Rubin architecture features six new chips designed to capitalize on the 'agentic AI inflection point', enhancing computational capabilities and providing robust support for enterprise-level AI applications, likely expanding market share.
- Physical AI Potential: Although physical AI contributed over $6 billion to Nvidia's 2026 revenue, accounting for less than 3% of total revenue, the anticipated proliferation of autonomous driving and robotics is expected to create hundreds of billions in market opportunities, driving diversified growth.
- Long-Term Growth Outlook: Nvidia's investment strategy does not rely on the rapid rise of physical AI, as its existing generative AI business is already a high-margin cash cow, and widespread adoption of agentic AI will further enhance the company's overall growth potential.
See More
Nvidia Reports Record Revenue for Fiscal 2026
- Impressive Financials: Nvidia achieved a record $215.9 billion in revenue and $120.1 billion in net income for fiscal 2026, demonstrating strong performance in the data center segment, which is expected to continue driving stock growth over the next decade.
- Data Center Dominance: Data centers accounted for 89.7% of Nvidia's fiscal 2026 revenue, and while other segments like gaming and AI personal computing contribute less, there remains significant growth potential in these areas.
- New Product Architecture: The newly launched Rubin architecture features six new chips designed to support generative and agentic AI applications, which are expected to drive enterprise adoption of AI agents and expand market opportunities.
- Physical AI Market Potential: Nvidia's physical AI has already contributed over $6 billion in revenue for fiscal 2026, and although it currently serves niche markets, the expected proliferation of robotaxis and robotics could generate hundreds of billions in revenue over the next decade.
See More
Broadcom May Gain from AI, While Nvidia's Stock Decline After Earnings Could Signal Trouble.
Earnings Outlook: Broadcom's earnings are expected to be strong due to increased demand for artificial intelligence technologies.
Market Sentiment: Despite the positive earnings outlook, shareholders should brace for a potentially muted reaction in the stock market as overall sentiment remains uncertain.
See More
AI Models Prefer Bitcoin Over Fiat Currencies, Study Finds
- AI Preference for Bitcoin: A report from the Bitcoin Policy Institute reveals that 22 out of 36 tested AI models favored Bitcoin as their top monetary choice, indicating Bitcoin's potential dominance in future economic activities.
- Innovative Experiment Design: Researchers treated 36 frontier models as independent economic agents, allowing them to freely choose monetary instruments across 28 scenarios, generating 9,072 responses that ensured objectivity and diversity in results.
- Developer Preference Variations: Significant differences in Bitcoin preference were observed among AI developers, with Anthropic models showing a preference rate of 68.0%, while OpenAI models only preferred Bitcoin 25.9% of the time, highlighting the influence of technical backgrounds on monetary choices.
- Cautious Market Predictions: Despite the consistent trends shown in the study, Zell cautions investors against interpreting these findings as market predictions, emphasizing that AI model preferences reflect training data patterns rather than real-world forecasts.
See More
