Microsoft and Amazon Downgraded: Analyst Sounds Alarm on Generative AI Hype
Tech Stock Selloff Wipes Out $1.8 Trillion in Market Value
In a move that sent ripples through the tech sector, Microsoft Corp. (MSFT) and Amazon.com Inc. (AMZN) were downgraded on Tuesday by a prominent analyst, highlighting growing skepticism around the explosive growth narrative surrounding generative artificial intelligence (Gen AI). Rothschild & Co Redburn’s Alexander Haissl, who had maintained buy ratings on both stocks since initiating coverage in June 2022, shifted his stance to neutral for the first time. This downgrade underscores a broader cautionary tale for investors: the bull case for Gen AI is no longer as clear-cut as once portrayed, and hyperscalers like Microsoft and Amazon should be approached with caution.
Key Takeaways
- Downgrade Details: Microsoft and Amazon were cut to neutral from buy by Rothschild & Co Redburn’s Alexander Haissl, marking his first downgrade since June 2022 coverage initiation.
- Market Reaction: Both stocks fell over 2% in New York, amid a broader Nasdaq 100 selloff that wiped out $1.8 trillion in value, down 5.1% from its late-October peak.
- AI Skepticism: The "Gen AI like early cloud" narrative is misplaced, with weaker economics raising doubts on hyperscalers' growth prospects.
- Investor Caution: Retreat from AI stocks due to stretched valuations signals a need for prudence in tech investments.
- Trading Tip: Use Tickeron's AI robots for pairs or momentum strategies on MSFT-AMZN to navigate volatility effectively.
Haissl's analysis cuts through the optimism that has propelled these tech giants to record highs in recent years. He argues that the industry's rallying cry—"trust us, Gen AI is just like early cloud 1.0"—appears increasingly misplaced. Unlike the cloud computing boom, which delivered robust economic returns through scalable infrastructure and widespread adoption, Gen AI's underlying economics are far weaker than assumed. High computational costs, uncertain monetization paths, and slower-than-expected enterprise integration have tempered the enthusiasm. For hyperscalers, who have poured billions into AI infrastructure, this could mean prolonged periods of capital expenditure without commensurate revenue growth, eroding margins and investor confidence.
The timing of the downgrade couldn't be more poignant. It follows a brutal selloff in the tech-heavy Nasdaq 100, which has erased nearly $1.8 trillion in market value since its late-October peak, dragging the index down by about 5.1% through Monday's close. Shares of Microsoft and Amazon each tumbled more than 2% in New York trading on Tuesday, reflecting broader investor retreat from AI-related stocks amid concerns over inflated valuations. What was once hailed as the next trillion-dollar opportunity is now facing scrutiny, with analysts questioning whether the hype has outpaced reality.
This isn't just about two companies; it's a signal for the entire AI ecosystem. Microsoft, through its Azure cloud platform and partnership with OpenAI, has positioned itself as a leader in Gen AI tools like Copilot. Amazon, via AWS, has invested heavily in custom chips and AI services such as Bedrock. Yet, as Haissl points out, the path to profitability remains murky. Enterprises are experimenting with AI, but widespread, revenue-generating deployments are lagging. Regulatory hurdles, ethical concerns, and competition from open-source alternatives further complicate the landscape.
Investors who piled into these stocks on the promise of exponential growth may need to recalibrate, favoring a more measured approach to hyperscalers until clearer evidence of sustainable returns emerges.
Trading Strategies Using Tickeron's AI Robots
For traders navigating this volatility, Tickeron's AI robots offer a sophisticated way to capitalize on movements in MSFT and AMZN without relying solely on gut instinct. These virtual agents use advanced algorithms to analyze market data, predict trends, and execute trades autonomously. One effective strategy is to deploy a pairs trading robot focused on MSFT and AMZN, leveraging their correlated yet diverging paths in the AI space.
To get started, visit Tickeron's platform at https://tickeron.com/app/ai-robots/virtualagents/all/MSFT-AMZN/. Here, you can configure an AI robot to monitor the pair: go long on the undervalued stock while shorting the overvalued one based on real-time signals. For instance, in the wake of this downgrade, the robot might identify AMZN as more resilient due to its diversified e-commerce revenue, suggesting a short position on MSFT if sentiment worsens. Set parameters for risk management, such as stop-loss thresholds at 5% and take-profit at 10%, to protect against further downturns.
Another approach is using a momentum-based AI robot that scans for reversal patterns post-downgrade. If the selloff stabilizes, the robot could automate buys on dips, targeting support levels around MSFT's 50-day moving average. Tickeron's tools also incorporate sentiment analysis from news feeds, allowing the robot to adjust positions dynamically as AI narratives evolve. By automating these decisions, traders can avoid emotional biases and respond swiftly to market shifts, potentially turning cautionary downgrades into profitable opportunities.
Momentum Indicator for MSFT turns negative, indicating new downward trend
MSFT saw its Momentum Indicator move below the 0 level on November 04, 2025. This is an indication that the stock could be shifting in to a new downward move. Traders may want to consider selling the stock or exploring put options. Tickeron's A.I.dvisor looked at 85 similar instances where the indicator turned negative. In of the 85 cases, the stock moved further down in the following days. The odds of a decline are at .
Technical Analysis (Indicators)
Bearish Trend Analysis
The Moving Average Convergence Divergence Histogram (MACD) for MSFT turned negative on November 03, 2025. This could be a sign that the stock is set to turn lower in the coming weeks. Traders may want to sell the stock or buy put options. Tickeron's A.I.dvisor looked at 49 similar instances when the indicator turned negative. In of the 49 cases the stock turned lower in the days that followed. This puts the odds of success at .
MSFT moved below its 50-day moving average on November 05, 2025 date and that indicates a change from an upward trend to a downward trend.
The 10-day moving average for MSFT crossed bearishly below the 50-day moving average on November 11, 2025. This indicates that the trend has shifted lower and could be considered a sell signal. In of 17 past instances when the 10-day crossed below the 50-day, the stock continued to move higher over the following month. The odds of a continued downward trend are .
Following a 3-day decline, the stock is projected to fall further. Considering past instances where MSFT declined for three days, the price rose further in of 62 cases within the following month. The odds of a continued downward trend are .
Bullish Trend Analysis
The RSI Indicator points to a transition from a downward trend to an upward trend -- in cases where MSFT's RSI Indicator exited the oversold zone, of 20 resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are .
The Stochastic Oscillator suggests the stock price trend may be in a reversal from a downward trend to an upward trend. of 51 cases where MSFT's Stochastic Oscillator exited the oversold zone resulted in an increase in price. Tickeron's analysis proposes that the odds of a continued upward trend are .
Following a 3-day Advance, the price is estimated to grow further. Considering data from situations where MSFT advanced for three days, in of 332 cases, the price rose further within the following month. The odds of a continued upward trend are .
MSFT may jump back above the lower band and head toward the middle band. Traders may consider buying the stock or exploring call options.
The Aroon Indicator entered an Uptrend today. In of 346 cases where MSFT Aroon's Indicator entered an Uptrend, the price rose further within the following month. The odds of a continued Uptrend are .
The Tickeron Profit vs. Risk Rating rating for this company is (best 1 - 100 worst), indicating low risk on high returns. The average Profit vs. Risk Rating rating for the industry is 91, placing this stock better than average.
The Tickeron Valuation Rating of (best 1 - 100 worst) indicates that the company is slightly undervalued in the industry. This rating compares market capitalization estimated by our proprietary formula with the current market capitalization. This rating is based on the following metrics, as compared to industry averages: P/B Ratio (10.111) is normal, around the industry mean (15.571). P/E Ratio (35.120) is within average values for comparable stocks, (164.990). Projected Growth (PEG Ratio) (2.096) is also within normal values, averaging (1.611). Dividend Yield (0.007) settles around the average of (0.026) among similar stocks. P/S Ratio (12.547) is also within normal values, averaging (81.767).
The Tickeron SMR rating for this company is (best 1 - 100 worst), indicating very strong sales and a profitable business model. SMR (Sales, Margin, Return on Equity) rating is based on comparative analysis of weighted Sales, Income Margin and Return on Equity values compared against S&P 500 index constituents. The weighted SMR value is a proprietary formula developed by Tickeron and represents an overall profitability measure for a stock.
The Tickeron PE Growth Rating for this company is (best 1 - 100 worst), pointing to consistent earnings growth. The PE Growth rating is based on a comparative analysis of stock PE ratio increase over the last 12 months compared against S&P 500 index constituents.
The Tickeron Price Growth Rating for this company is (best 1 - 100 worst), indicating steady price growth. MSFT’s price grows at a higher rate over the last 12 months as compared to S&P 500 index constituents.
The Tickeron Seasonality Score of (best 1 - 100 worst) indicates that the company is fair valued in the industry. The Tickeron Seasonality score describes the variance of predictable price changes around the same period every calendar year. These changes can be tied to a specific month, quarter, holiday or vacation period, as well as a meteorological or growing season.
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