Dan Ives Predicts $3 Trillion AI Spending Over Next Three Years, Sees Strong Earnings Ahead
Written by Emily J. Thompson, Senior Investment Analyst
Updated: 20h ago
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Source: Benzinga
- AI Spending Outlook: Dan Ives predicts that AI spending will reach $3 trillion over the next three years, with over $550 billion in capital expenditures already underway, indicating that the market is underestimating the long-term potential of AI, which could lead to significant investment opportunities being overlooked.
- Strong Enterprise Demand: Ives highlights robust enterprise AI demand from major tech companies like Microsoft, Alphabet, and Amazon, expecting that upcoming fourth-quarter earnings will validate this trend and further bolster market confidence in AI.
- Growth Potential for Snowflake: Snowflake Inc. serves as a quintessential AI consumption proxy, with increasing AI workloads driving consumption revenue; currently, its enterprise value is significantly lower than peers, suggesting the market is undervaluing its future growth prospects.
- Key Contracts for Palantir: Palantir Technologies Inc. has secured multi-year contracts exceeding $100 million in defense and healthcare, indicating that its AI-driven platform is transitioning from proof-of-concept to mission-critical, which is expected to enhance cash flow and margin expansion significantly.
Analyst Views on MDB
Wall Street analysts forecast MDB stock price to fall over the next 12 months. According to Wall Street analysts, the average 1-year price target for MDB is 381.24 USD with a low forecast of 250.00 USD and a high forecast of 440.00 USD. However, analyst price targets are subjective and often lag stock prices, so investors should focus on the objective reasons behind analyst rating changes, which better reflect the company's fundamentals.
31 Analyst Rating
26 Buy
5 Hold
0 Sell
Strong Buy
Current: 389.200
Low
250.00
Averages
381.24
High
440.00
Current: 389.200
Low
250.00
Averages
381.24
High
440.00
About MDB
MongoDB, Inc. is a developer data platform company. Its developer data platform is a globally distributed operational database integrated with a set of data services that allow development teams to address the growing variety of application requirements. Its customers can implement its developer data platform as a managed service offering, or they can choose a self-managed option. Its MongoDB Atlas is its managed multi-cloud database-as-a-service (DBaaS) offering that includes an integrated set of databases and related services. Atlas Vector Search allows the integration of an operational database and vector search in a unified, fully managed platform. MongoDB Enterprise Advanced is its proprietary self-managed commercial offering for enterprise customers that can run in the cloud, on-premises or in a hybrid environment. It also provides professional services for its customers.
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.





