AI Investing

Extracted Attributes

• Major Corporate Players

  Nvidia, Microsoft, Amazon, Google, Meta, OpenAI, Groq

• Economic Impact Scenarios

  Vanguard projections range from -2% to 10% annualized stock returns based on AI success

• Institutional Applications

  Security analysis, thematic basket building, predictive modeling, risk management

• Key Infrastructure Components

  TPUs (Tensor Processing Units), Foundational Models, Open Source Models (Llama, Mistral)

• Primary Investment Strategies

  Picks and Shovels (Infrastructure), Developer Platforms (Moats), Data Advantage

Timeline

• Investing.com is founded as a financial data and news platform. (Source: Wikipedia)

  2007-01-01

• Joffre Capital acquires Investing.com. (Source: Wikipedia)

  2021-01-01

• Investing.com launches premium subscription services and increases AI content generation. (Source: Wikipedia)

  2022-01-01

• Vanguard releases probability-weighted 10-year stock return projections based on AI scenarios. (Source: Vanguard Research)

  2025-09-30

• Vanguard issues economic forecasts for 2026, identifying AI optimism collapse as a key risk. (Source: Vanguard Research)

  2025-12-10

Investing.com

Investing.com is a financial data and news platform founded in 2007. Based in Israel, it ranks among the most visited financial websites globally. The site provides free access to real-time quotes, analysis, and market tools in over 30 languages. Its business model relies primarily on advertising, with additional revenue from premium subscriptions launched in 2022. The company has been owned by Hong Kong–based investment firm Joffre Capital since 2021. Investing.com aggregates content from external sources and has increasingly adopted AI tools for content generation. It has drawn criticism for publishing AI-generated articles that closely mirror original reporting by other outlets without proper attribution, and for allegedly passing user contact data to unregulated offshore brokers.

Web Search Results

• AI Stocks Face 'Show Me' Moment - Investor's Business Daily

  IBD 50IBD Sector LeadersIBD Big Cap 20IBD Long-Term LeadersIPO LeadersMy Stock ListsStock Lists UpdateStocks On The MoveNew HighsStock SpotlightStocks Near Buy ZoneRS Line At New HighRising Profit EstimatesStocks Funds Are BuyingYour Weekly ReviewIBD ETF IndexesIBD Data TablesIBD Digital: 2 Months for $20New? Nvidia, Other AI Stocks Dominate Best Stock Lists: See New Names On IBD 50, Sector Leaders, More. Stock Market Today5:25 PM ET. To be sure, top AI stocks such as Nvidia face high…. ## Nvidia, Other AI Stocks Dominate Best Stock Lists: See New Names On IBD 50, Sector Leaders, More. 10:56 AM ET Find out which top-rated stocks like AI standout Nvidia have just earned a spot on IBD's lists of the best... 10:56 AM ET Find out which top-rated stocks like AI standout Nvidia have... Get instant access to exclusive stock lists, expert market analysis and powerful tools with 2 months of IBD Digital for only $20!

• How AI is Transforming Investing - BlackRock

  * Compared to general purpose chatbots, the large language models (LLMs) that we use for security analysis are trained and fine-tuned on more narrow, curated datasets to perform specific investment tasks with a high degree of accuracy. * In navigating dynamic market themes, our Thematic Robot tool blends human insight with the power of LLMs and big data to build equity baskets with greater efficiency and breadth of exposures. Within BlackRock Systematic, AI and machine learning have played a pivotal role in our investment process for nearly two decades. By comparison, the LLMs used in our investment process are fine-tuned to perform specific investment tasks, for example forecasting the market reaction following corporate earnings calls. Within BlackRock Systematic, we’ve been leveraging AI and machine learning for several years to help deploy investment intuition at scale, for example using LLMs to improve the precision of our text-based investment analysis and our efficiency in building thematic baskets.

• [PDF] AI exuberance: Economic upside, stock market downside - Vanguard

  Contents 3 Global outlook summary 5 Our outlook for AI 15 Market and portfolio outlook 20 Regional economic outlooks Vanguard’s 2026 economic forecasts Country/region Growth Core inflation Unemployment rate Policy rate (year-end) Key risk to our view U.S. 2.25% 2.6% 4.2% 3.5% AI optimism collapses and investment buildout stalls Euro area 1.2% 1.8% 6.3% 2.0% Inflation materially undershoots the 2% target China 4.5% 1.0% 5.1% 1.2% Technology innovation and investment accelerate Notes: Forecasts are as of December 10, 2025. 16 U.S. equity return prospects, by three AI scenarios Scenario Probability Earnings growth P/E multiples 10-year stock return projection (annualized)  AI’s transformation is stronger than expected (upside) 10% 8%+ Remain at present levels or even rise 8% to 10% AI emerges as general-purpose technology and generates 3% trend U.S. growth (Vanguard medium-run baseline) 60% 6% to 8% Fall slightly as AI competition unfolds 5% to 7% AI disappoints, and exuberance is irrational rather than justified (downside) 30% 3% to 5% Fall markedly, with irrational exuberance when not falling –2% to 2% On the whole (probability-weighted) 100% 6% to 7% 4% to 5% Source: Vanguard, as of September 30, 2025.

• Optimizing Investment Strategies With Artificial Intelligence

  Now, let's see one by one how AI can help in different areas of traditional investment strategies. There are many ways to manage risk when trading and investing, and one option is to combine AI with modern portfolio theory and the efficient frontier. And AI can even set up automatic strategies to help us manage investment risk better. AI can assist with predictive modeling, as it uses sets of rules or processes (algorithms) to learn from past data and make predictions about future outcomes. For example, in finance, AI can analyze stock market data to predict future price movements. AI uses historical market data to predict future price movements of stocks, currencies, or other assets. AI can analyze past market data to evaluate the effectiveness of specific investment strategies, which leads to better results in the present. * AI-driven decisions have the potential to stabilize markets by using data instead of emotions, which reduces volatility. * AI's quick data processing improves decision-making.

• Investment Strategy & Artificial Intelligence | by Roger Martin - Medium

  In this week’s Playing to Win/ Practitioner Insights piece, I am turning to a way for companies to think about their investments in AI, which is important because they are all investing aggressively in the domain. The key thing to understand in any business, but more so in software/Internet services due to the high fixed cost cost structure, is the degree to which the use-case is horizontal or vertical. At the extreme vertical end of the spectrum is a use-case that is unique to a single company, for example, a piece of customized software written for a company’s unique use. If you try to create spreadsheet software or an ERP for use of your own company only, you will waste every single dollar — because every company needs one and someone will invest massive capital to build and widely distribute a great one. This implies that it is important to invest in becoming skilled at figuring out who are going to be the horizontal winners in the various elements of the AI technology stack.