Got Power? How To Meet Inexhaustible AI-Driven Demands Emerging From CES
- Bias Rating
-10% Center
- Reliability
75% ReliableGood
- Policy Leaning
-10% Center
- Politician Portrayal
53% Positive
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
12% Positive
- Liberal
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
59% : McKinsey research projects the global demand for data center capacity to rise 22% annually through 2030, requiring 219 GW.50% : Addressing current hurdles, and what I call the need for speed, Trump added: "For anyone investing over a billion dollars, we're guaranteeing expedited reviews to avoid the regulatory quagmire."Back here at CES, Huang debuted his next gen GPUs and predicted agentic will reboot the way we live and work, and likely develop into multi-trillion-dollar opportunities across sectors.
49% : With companies like Kairos, X-energy, and NuScale hot on the SMR development trail, as well as big dogs like Rolls-Royce and GE, momentum is building for alternative energy sources.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.