Alphabet Leverages AI to Drive Business Growth
Written by Emily J. Thompson, Senior Investment Analyst
Updated: Feb 13 2026
0mins
Should l Buy GOOG?
Source: Fool
- AI Platform Advantage: Alphabet controls key parts of the AI value chain through its integrated AI platform, leveraging custom chips and data centers to drive growth in core businesses like Search, Google Cloud, and YouTube, enhancing customer stickiness while reducing costs.
- Strong Cash Flow: In fiscal 2025, Alphabet reported operating cash flow of $164.7 billion, demonstrating its robust financial foundation capable of supporting future growth initiatives while providing stable returns to investors.
- Cloud Computing Growth: Google Cloud's revenue surged 48% year-over-year to $17.7 billion in Q4, with operating margins expanding to 30.1%, and a backlog of $240 billion, highlighting its potential as a growth catalyst.
- Widespread AI Adoption: The Gemini app sold over 8 million enterprise paid licenses within four months of launch, with over 750 million monthly active users, indicating rapid adoption of AI-driven services and further boosting subscriptions for Google One and YouTube Premium.
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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: 294.900
Low
255.00
Averages
336.08
High
400.00
Current: 294.900
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.
Google Adjusts Gemini Pricing Strategy for Developers
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- Flex Tier Benefits: The Flex tier allows developers to run tasks at about a 50% discount during off-peak hours, with processing times ranging from 1 to 15 minutes, a strategy that not only reduces costs but also attracts users with less stringent speed requirements.
- Priority Tier Costs: The Priority tier is designed for applications requiring instant responses, such as chatbots and fraud detection systems, costing 75% to 100% more than the standard tier, indicating Google's willingness to provide higher service quality for high-demand applications.
- Batch Option: The Batch option, while taking up to 24 hours for processing, also offers significant cost savings, making it suitable for scenarios involving large data processing, further enriching Gemini's product offerings to meet diverse customer needs.
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- Diverse Pricing Strategy: Google has introduced multiple pricing tiers for Gemini, including Standard, Flex, Priority, Batch, and Caching, aimed at providing developers with more flexible spending control based on their specific needs, thereby enhancing user experience and market competitiveness.
- Flex Tier Benefits: The Flex tier allows developers to run tasks at about a 50% discount during off-peak hours, with processing times ranging from 1 to 15 minutes, a strategy that not only reduces costs but also attracts users with less stringent speed requirements.
- Priority Tier Costs: The Priority tier is designed for applications requiring instant responses, such as chatbots and fraud detection systems, costing 75% to 100% more than the standard tier, indicating Google's willingness to provide higher service quality for high-demand applications.
- Batch Option: The Batch option, while taking up to 24 hours for processing, also offers significant cost savings, making it suitable for scenarios involving large data processing, further enriching Gemini's product offerings to meet diverse customer needs.
See More
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- Memory Price Surge: Micron Technology's stock has surged approximately 300% over the past year due to a bottleneck in memory chip supply, and despite a recent drop of over 20% from its all-time high, it remains a compelling buy for long-term investors.
- Google Algorithm Impact: Google's TurboQuant algorithm reduces memory requirements by six times, leading the market to mistakenly assume a decrease in memory chip demand; however, AI hyperscalers are likely to repurpose this memory for other applications, thus not alleviating the memory bottleneck.
- High-Bandwidth Memory Market Growth: Micron estimates the high-bandwidth memory market will reach $35 billion by 2025 and triple to $100 billion by 2028, yet the company can currently only fulfill 50% to 66% of its orders, indicating robust market demand.
- Future Revenue Expectations: Micron anticipates revenue of $33.5 billion next quarter, a significant increase from $23.9 billion in the previous quarter, and with a low forward P/E ratio of 6.2, it presents a strong investment opportunity in the AI sector during this market correction.
See More
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- Memory Market Bottleneck: Despite Micron's (NASDAQ: MU) stock soaring approximately 300% over the past year, it recently fell over 20% due to concerns about memory demand following Google's introduction of the TurboQuant algorithm, highlighting ongoing worries in the AI sector.
- Algorithm Innovation Impact: Google's TurboQuant algorithm reduces memory requirements by six times; however, while the market anticipates a decrease in memory chip demand, AI hyperscalers may repurpose released memory for other applications, thus not alleviating the memory bottleneck.
- Market Demand Forecast: Micron estimates that the high-bandwidth memory market will reach $35 billion by 2025 and triple to $100 billion by 2028, yet the company currently meets only about 50% to 66% of its orders, indicating significant challenges in fulfilling market demand.
- Future Growth Potential: Micron expects revenue of $33.5 billion next quarter, a substantial increase from $23.9 billion in the previous quarter, and with a forward P/E ratio of just 6.2, it presents a compelling investment opportunity in the AI space, despite cautious market sentiment regarding its short-term performance.
See More
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- Financial Performance Outlook: Analysts project Brookfield's revenue and adjusted EBITDA to grow at CAGRs of 22% and 6% respectively from 2025 to 2028, reflecting its profitability and competitive edge in the green energy sector, with an enterprise value of $58.4 billion still appearing relatively cheap at 15 times this year's adjusted EBITDA.
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- Future Growth Potential: Analysts expect GE Vernova's revenue and adjusted EBITDA to increase at CAGRs of 15% and 55% from 2025 to 2028, and despite its enterprise value of $233 billion and a meager forward yield of 0.2%, its potential to meet future energy demands makes it a compelling investment for investors.
See More
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- Brookfield Renewable Growth: As of the end of 2025, Brookfield Renewable operates 47 GW of renewable capacity with over 200 GW in development, and analysts project a 22% CAGR in revenue from 2025 to 2028, highlighting its strong growth potential in the green energy market.
- Long-Term Contract Advantage: Brookfield has secured long-term renewable power agreements with hyperscalers like Microsoft and Google, and as the cloud and AI markets expand, it is expected to gain more contracts, enhancing its market competitiveness and revenue stability.
- GE Vernova's Rapid Surge: Since its spin-off in 2024, GE Vernova's stock has surged nearly eightfold, with analysts forecasting a 15% CAGR in revenue from 2025 to 2028, primarily driven by the expansion of cloud computing and AI markets, prompting utilities to accelerate electrification.
- Power and Electrification Order Growth: GE Vernova has seen double-digit growth in its Power and Electrification orders over the past two years, indicating strong market demand and growth potential, despite slower growth in its wind segment.
See More
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- Underwhelming AI Assistant: Microsoft's Copilot AI assistant has faced widespread criticism for its high price and relatively poor performance, leading to low adoption rates, which indicates that Microsoft has squandered its early advantage from its partnership with OpenAI, negatively impacting market confidence in its future prospects.
- Significant Stock Decline: Despite a 17% year-over-year revenue increase to $81.3 billion in the latest quarter and a 39% surge in Azure cloud service revenue, Microsoft's stock has dropped 23% year-to-date, with a market cap now at $2.8 trillion, reflecting a pessimistic investor sentiment regarding its future.
- New AI Model Development Plans: Microsoft aims to develop state-of-the-art AI models by 2027 to generate text, audio, and images, intending to compete with industry leaders like OpenAI and Anthropic; success in this endeavor could address Copilot's weaknesses and enhance product stickiness.
- Market Recovery Potential: If Microsoft successfully launches a new AI assistant, its stock could rebound to previous peaks, representing a potential 50% gain, indicating that the company still holds significant potential in the AI sector.
See More
