Media Manipulation and Bias Detection
Auto-Improving with AI and User Feedback
HonestyMeter - AI powered bias detection
CLICK ANY SECTION TO GIVE FEEDBACK, IMPROVE THE REPORT, SHAPE A FAIRER WORLD!
ASML / bullish AI-demand narrative
Caution! Due to inherent human biases, it may seem that reports on articles aligning with our views are crafted by opponents. Conversely, reports about articles that contradict our beliefs might seem to be authored by allies. However, such perceptions are likely to be incorrect. These impressions can be caused by the fact that in both scenarios, articles are subjected to critical evaluation. This report is the product of an AI model that is significantly less biased than human analyses and has been explicitly instructed to strictly maintain 100% neutrality.
Nevertheless, HonestyMeter is in the experimental stage and is continuously improving through user feedback. If the report seems inaccurate, we encourage you to submit feedback , helping us enhance the accuracy and reliability of HonestyMeter and contributing to media transparency.
Use of dramatic or extreme language to make a situation seem more extraordinary or urgent than the evidence strictly supports.
1) "The AI boom has continued into 2026, defying concerns about overinvestment and helping push ASML’s market value over $500 billion this month." 2) "Last week, Nvidia’s CEO Jensen Huang called the rush to build data centers that can power AI models the 'largest infrastructure build-out in human history.' There is a need for 'trillions of dollars' of additional investment in coming years, Huang said..."
Qualify the term "AI boom" and the phrase "defying concerns" with time frames and sources, e.g.: "The current AI-driven investment cycle has so far continued into 2026, despite some analysts’ concerns about overinvestment..."
When citing "largest infrastructure build-out in human history" and "trillions of dollars" characterize them explicitly as subjective or promotional claims, e.g.: "Nvidia’s CEO Jensen Huang described the rush... as, in his view, 'the largest infrastructure build-out in human history,' saying he believes there is a need for 'trillions of dollars' of additional investment."
Add context or counterpoints from independent analysts on whether such superlative claims are widely accepted or contested.
Relying on the opinion of a prominent figure as evidence, without providing sufficient independent support or context.
1) "What Bloomberg Intelligence Says" section presents a bullish outlook based on BI analysts’ views without contrasting them with alternative analyst opinions. 2) "Last week, Nvidia’s CEO Jensen Huang called the rush to build data centers... the 'largest infrastructure build-out in human history.' There is a need for 'trillions of dollars' of additional investment..." — a very strong claim presented mainly on the authority of a high-profile CEO.
Explicitly frame the Bloomberg Intelligence and Nvidia CEO statements as opinions or projections, not as established facts, e.g.: "Bloomberg Intelligence analysts Masahiro Wakasugi and Takumi Okano estimate that..."
Include at least one contrasting or more cautious view from other analysts or investors about the sustainability of AI-related capex and ASML’s growth trajectory.
Add brief context on potential conflicts of interest or incentives (e.g., CEOs and sell-side analysts often have incentives to present optimistic scenarios).
Presenting one side or narrative more extensively or favorably than others, without proportionate coverage of counterarguments or uncertainties.
The article devotes substantial space to: - Record bookings, strong AI-driven demand, and large capex plans by TSMC, Meta, Microsoft, etc. - Positive commentary such as "ASML has knocked it out of the park when it comes to order numbers" and expectations that it will "raise guidance throughout the year." By contrast, the skeptical side is relatively brief: - "Even so, analysts raised concerns about the company’s ability to expand capacity and hit the high end of its revenue guidance for the year." - A short mention of net income missing estimates and some capacity concerns. The concerns are mentioned but not explored with the same depth, detail, or variety of sources as the bullish narrative.
Add more detail on the nature of analysts’ concerns: for example, specific quotes from multiple analysts outlining risks (overcapacity, cyclicality, geopolitical restrictions, execution risk).
Quantify or contextualize the earnings miss and explain what it might imply for future performance, rather than mentioning it only briefly.
Include discussion of potential downside scenarios (e.g., if AI demand slows, if capex plans are cut, or if export controls tighten further) to balance the heavy emphasis on strong orders and capex.
Provide at least one data point or quote from a more cautious or bearish analyst to counterbalance the optimistic Bloomberg Intelligence and Quilter Cheviot views.
Reducing a complex situation to a simple narrative that may omit important nuances or conditions.
1) "The AI boom has continued into 2026, defying concerns about overinvestment..." — This compresses a complex debate about AI-related capex, semiconductor cycles, and macroeconomic conditions into a simple "boom vs. concerns" framing. 2) "The Dutch company’s bookings are one signal of chipmakers’ confidence in future AI demand." — While true, this may oversimplify bookings as primarily an AI-confidence signal, when they also reflect broader semiconductor demand, policy, and capacity-planning considerations.
Clarify that AI is one major driver among others, e.g.: "The AI boom has so far continued into 2026 and is one of several factors supporting ASML’s valuation, even as some analysts warn about potential overinvestment in semiconductor capacity."
Expand the explanation of what bookings represent: "The Dutch company’s bookings are one signal of chipmakers’ expectations for future demand, including but not limited to AI-related workloads."
Briefly note that semiconductor demand is cyclical and influenced by multiple sectors (smartphones, PCs, automotive, industrial), not solely AI.
Using language or emphasis that may evoke emotional reactions (excitement, fear, awe) rather than purely rational assessment.
The combination of phrases like "largest infrastructure build-out in human history," "trillions of dollars" of investment, and "knocked it out of the park" can evoke excitement and awe about the scale of AI and ASML’s opportunity, even though they are mostly presented as quotes.
Balance emotionally charged quotes with neutral, quantitative context (e.g., compare projected AI-related capex to historical telecom or internet infrastructure build-outs).
Use more neutral paraphrasing around such quotes, e.g.: "Nvidia’s CEO characterized the current data center expansion as unprecedented in scale, asserting that it could require 'trillions of dollars' of additional investment."
Add a short note that such characterizations are forward-looking and subject to uncertainty, to temper the emotional impact with realism.
- This is an EXPERIMENTAL DEMO version that is not intended to be used for any other purpose than to showcase the technology's potential. We are in the process of developing more sophisticated algorithms to significantly enhance the reliability and consistency of evaluations. Nevertheless, even in its current state, HonestyMeter frequently offers valuable insights that are challenging for humans to detect.