Trumps economic plan is working

[Hafar1014]

Trumps economic plan is more than tariffs and its working.
1. Tariffs used to bring in 200-300 billion a year and open foreign markets
2. Tax and regulation cuts increasing the profits of business
3. An end to supports for green energy that costs too much and cant meet the demand of AI
4. Supporting fossil fuels and nuclear power low cost reliable energy that can meet demand of AI and increased use of server banks.

These policies will attract manufacturing from Europe and other foreign countries to move to the US as their dependence on green energy and high taxes drive business away.
Trump has leverage they need to export to our economy more than we need them. China is extremely vulnerable as their economy depends 100% on exports.

 

[JGalt]

Trumps economic plan is more than tariffs and its working.
1. Tariffs used to bring in 200-300 billion a year and open foreign markets
2. Tax and regulation cuts increasing the profits of business
3. An end to supports for green energy that costs too much and cant meet the demand of AI
4. Supporting fossil fuels and nuclear power low cost reliable energy that can meet demand of AI and increased use of server banks.

These policies will attract manufacturing from Europe and other foreign countries to move to the US as their dependence on green energy and high taxes drive business away.
Trump has leverage they need to export to our economy more than we need them. China is extremely vulnerable as their economy depends 100% on exports.

I never had a doubt. This is what happens when we have someone with real economic experience running the country, instead of out of touch lifelong bureaucrats who've never held a real job.

Let the naysayers and Trump-haters be damned.

 

[Dekster]

Trump is engaging in the exact same tact that California uses that the right despises, but whatever. Inflating prices and debasing the dollar always ends well.

 

[Moonglow]

Trumps economic plan is more than tariffs and its working.
1. Tariffs used to bring in 200-300 billion a year and open foreign markets
2. Tax and regulation cuts increasing the profits of business
3. An end to supports for green energy that costs too much and cant meet the demand of AI
4. Supporting fossil fuels and nuclear power low cost reliable energy that can meet demand of AI and increased use of server banks.

These policies will attract manufacturing from Europe and other foreign countries to move to the US as their dependence on green energy and high taxes drive business away.
Trump has leverage they need to export to our economy more than we need them. China is extremely vulnerable as their economy depends 100% on exports.

What tax cuts did Trump give businesses?

 

[Moonglow]

1. Tariffs used to bring in 200-300 billion a year and open foreign markets

This is a tax on the consumer, as the increased price is passed on to the consumer.

 

[Moonglow]

3. An end to supports for green energy that costs too much and cant meet the demand of AI

Many companies involved in Artificial Intelligence (AI) development are actively seeking ways to reduce the environmental impact of their technology by embracing green power and sustainable practices.
This trend is driven by several factors:

• High Energy Consumption: AI, especially the training and operation of Large Language Models (LLMs), requires significant energy, contributing to greenhouse gas emissions and potentially hindering climate goals.
• Increased Data Center Demand: AI's growth leads to a substantial increase in power consumption by data centers, which are the backbone of AI innovation.
• Resource Intensive Hardware: The hardware components used in AI development and deployment require significant resources, including rare earth metals, and contribute to e-waste.

Solutions and strategies being employed

• Powering Data Centers with Renewable Energy: Companies like Google are actively working to power their data centers with renewable energy sources like solar, wind, and hydropower, reducing their carbon footprint significantly.
• Energy-Efficient Hardware and Algorithms: Developing AI models and hardware that require less energy and optimizing algorithms to reduce computational intensity are key areas of focus.
• AI-Optimized Data Centers: Implementing energy-efficient computing, advanced cooling methods, and renewable-powered cloud infrastructure are essential to minimize the environmental impact of data centers.
• Investment in Green AI Initiatives: Major tech companies are investing in sustainable AI solutions that tackle climate change challenges through AI applications, such as monitoring deforestation, predicting extreme weather, and optimizing energy grids.

Challenges and considerations

• Scaling Renewable Energy Infrastructure: Meeting the escalating energy demand of AI requires a significant investment in renewable energy generation and transmission infrastructure.
• Intermittency of Renewables: The fluctuating nature of solar and wind power necessitates storage solutions like batteries to ensure a consistent energy supply for AI operations.
• Hardware Limitations: The current hardware used for AI, like GPUs, while powerful, may not be optimized for energy efficiency, creating a need for new, more efficient architectures and hardware designs.
• Lack of Transparency and Data: The lack of transparent reporting on energy and water consumption from many AI companies makes it challenging to accurately assess and manage the environmental footprint of AI systems.
• Rebound Effect: Efficiency gains in AI can sometimes lead to increased overall energy consumption if they are not accompanied by careful management and optimization strategies.

Looking ahead
The shift towards green power and sustainable practices in AI development is crucial for mitigating the environmental impact of this rapidly evolving technology. Collaborative efforts between researchers, developers, hardware manufacturers, cloud providers, and policymakers will be vital to accelerate the adoption of sustainable AI and unlock its full potential for a greener future.

 

[Moonglow]

Trumps economic plan is more than tariffs and its working.
1. Tariffs used to bring in 200-300 billion a year and open foreign markets
2. Tax and regulation cuts increasing the profits of business
3. An end to supports for green energy that costs too much and cant meet the demand of AI
4. Supporting fossil fuels and nuclear power low cost reliable energy that can meet demand of AI and increased use of server banks.

These policies will attract manufacturing from Europe and other foreign countries to move to the US as their dependence on green energy and high taxes drive business away.
Trump has leverage they need to export to our economy more than we need them. China is extremely vulnerable as their economy depends 100% on exports.

 

[22lcidw]

Many companies involved in Artificial Intelligence (AI) development are actively seeking ways to reduce the environmental impact of their technology by embracing green power and sustainable practices.
This trend is driven by several factors:

• High Energy Consumption: AI, especially the training and operation of Large Language Models (LLMs), requires significant energy, contributing to greenhouse gas emissions and potentially hindering climate goals.
• Increased Data Center Demand: AI's growth leads to a substantial increase in power consumption by data centers, which are the backbone of AI innovation.
• Resource Intensive Hardware: The hardware components used in AI development and deployment require significant resources, including rare earth metals, and contribute to e-waste.

Solutions and strategies being employed

• Powering Data Centers with Renewable Energy: Companies like Google are actively working to power their data centers with renewable energy sources like solar, wind, and hydropower, reducing their carbon footprint significantly.
• Energy-Efficient Hardware and Algorithms: Developing AI models and hardware that require less energy and optimizing algorithms to reduce computational intensity are key areas of focus.
• AI-Optimized Data Centers: Implementing energy-efficient computing, advanced cooling methods, and renewable-powered cloud infrastructure are essential to minimize the environmental impact of data centers.
• Investment in Green AI Initiatives: Major tech companies are investing in sustainable AI solutions that tackle climate change challenges through AI applications, such as monitoring deforestation, predicting extreme weather, and optimizing energy grids.

Challenges and considerations

• Scaling Renewable Energy Infrastructure: Meeting the escalating energy demand of AI requires a significant investment in renewable energy generation and transmission infrastructure.
• Intermittency of Renewables: The fluctuating nature of solar and wind power necessitates storage solutions like batteries to ensure a consistent energy supply for AI operations.
• Hardware Limitations: The current hardware used for AI, like GPUs, while powerful, may not be optimized for energy efficiency, creating a need for new, more efficient architectures and hardware designs.
• Lack of Transparency and Data: The lack of transparent reporting on energy and water consumption from many AI companies makes it challenging to accurately assess and manage the environmental footprint of AI systems.
• Rebound Effect: Efficiency gains in AI can sometimes lead to increased overall energy consumption if they are not accompanied by careful management and optimization strategies.

Looking ahead
The shift towards green power and sustainable practices in AI development is crucial for mitigating the environmental impact of this rapidly evolving technology. Collaborative efforts between researchers, developers, hardware manufacturers, cloud providers, and policymakers will be vital to accelerate the adoption of sustainable AI and unlock its full potential for a greener future.

It is all about who steals billions, tens of billions, hundreds of billions and even trillions of dollars and give very little in return for the so-called investment.

 

[Moonglow]

It is all about who steals billions, tens of billions, hundreds of billions and even trillions of dollars and give very little in return for the so-called investment.

I am sure you have all the names and addresses in yer little black book.

 

[Hafar1014]

Bidens GDP was 40% debt based government spending. You always need context when you copy a google graph. The spending caused the worst inflation in 40 years crushing the middle class and poor which makes your graph true but irrelevant. The Biden economy was like living off your credit card and only paying the interest and claiming you pay all your bills. So in answer to you I can say so what

 

[Moonglow]

Bidens GDP was 40% debt based government spending. You always need context when you copy a google graph. The spending caused the worst inflation in 40 years crushing the middle class and poor which makes your graph true but irrelevant. The Biden economy was like living off your credit card and only paying the interest and claiming you pay all your bills. So in answer to you I can say so what

I am sure you can come up with better reason than that to explain Trump's dismal numbers.

 

[Hafar1014]

Many companies involved in Artificial Intelligence (AI) development are actively seeking ways to reduce the environmental impact of their technology by embracing green power and sustainable practices.
This trend is driven by several factors:

• High Energy Consumption: AI, especially the training and operation of Large Language Models (LLMs), requires significant energy, contributing to greenhouse gas emissions and potentially hindering climate goals.
• Increased Data Center Demand: AI's growth leads to a substantial increase in power consumption by data centers, which are the backbone of AI innovation.
• Resource Intensive Hardware: The hardware components used in AI development and deployment require significant resources, including rare earth metals, and contribute to e-waste.

Solutions and strategies being employed

• Powering Data Centers with Renewable Energy: Companies like Google are actively working to power their data centers with renewable energy sources like solar, wind, and hydropower, reducing their carbon footprint significantly.
• Energy-Efficient Hardware and Algorithms: Developing AI models and hardware that require less energy and optimizing algorithms to reduce computational intensity are key areas of focus.
• AI-Optimized Data Centers: Implementing energy-efficient computing, advanced cooling methods, and renewable-powered cloud infrastructure are essential to minimize the environmental impact of data centers.
• Investment in Green AI Initiatives: Major tech companies are investing in sustainable AI solutions that tackle climate change challenges through AI applications, such as monitoring deforestation, predicting extreme weather, and optimizing energy grids.

Challenges and considerations

• Scaling Renewable Energy Infrastructure: Meeting the escalating energy demand of AI requires a significant investment in renewable energy generation and transmission infrastructure.
• Intermittency of Renewables: The fluctuating nature of solar and wind power necessitates storage solutions like batteries to ensure a consistent energy supply for AI operations.
• Hardware Limitations: The current hardware used for AI, like GPUs, while powerful, may not be optimized for energy efficiency, creating a need for new, more efficient architectures and hardware designs.
• Lack of Transparency and Data: The lack of transparent reporting on energy and water consumption from many AI companies makes it challenging to accurately assess and manage the environmental footprint of AI systems.
• Rebound Effect: Efficiency gains in AI can sometimes lead to increased overall energy consumption if they are not accompanied by careful management and optimization strategies.

Looking ahead
The shift towards green power and sustainable practices in AI development is crucial for mitigating the environmental impact of this rapidly evolving technology. Collaborative efforts between researchers, developers, hardware manufacturers, cloud providers, and policymakers will be vital to accelerate the adoption of sustainable AI and unlock its full potential for a greener future.

Green power can never meet the demands of AI and will cause an energy shortage catastrophe. Its already happened in Spain

 

[Hafar1014]

Trump is engaging in the exact same tact that California uses that the right despises, but whatever. Inflating prices and debasing the dollar always ends well.

Inflation is in decline as well as many prices. Wages and income have increased

 

[Moonglow]

Yes, the U.S. economy experienced a contraction in the first quarter of 2025. The Bureau of Economic Analysis (BEA) reported a 0.5% decrease in real Gross Domestic Product (GDP) for the first quarter of the year, according to the U.S. Bureau of Economic Analysis (BEA) (.gov). This contraction is a reversal from the 2.4% increase seen in the fourth quarter of 2024.

Several factors contributed to this decline, including a surge in imports as businesses stockpiled goods ahead of potential tariffs. This surge in imports, while impacting GDP, does not fully reflect the underlying strength of the economy, as evidenced by a rise in the "real final sales to private domestic purchasers" metric. Consumer spending also slowed during the first quarter.

Here's a more detailed breakdown:

• Real GDP Decrease:
  .
  The first quarter of 2025 saw a 0.5% decrease in real GDP, which is a measure of the total value of goods and services produced in the U.S., adjusted for inflation.
  
  
• Imports Surge:
  .
  A significant increase in imports, particularly by businesses preparing for potential tariffs, contributed to the contraction, as imports are subtracted from GDP.
  
  
• Consumer Spending Slowdown:
  .
  Reduced consumer spending also played a role in the overall economic slowdown.
  
  
• Industry Impact:
  .
  Several industries experienced declines, including finance and insurance, agriculture, and wholesale trade, according to the U.S. Bureau of Economic Analysis (BEA) (.gov).
  
  
• State-Level Variation:
  .
  While the national GDP declined, some states experienced growth, such as South Carolina, while others like Iowa and Nebraska saw significant contractions.

 

[Moonglow]

Inflation is in decline as well as many prices. Wages and income have increased

Yes, wages have increased in the US, with some data indicating they have outpaced inflation since 2020. Specifically, average wages for most US workers are up roughly 25.7% since 2020, while inflation is up about 20.9%. However, despite this, many consumers still feel burdened by high prices and housing costs.

 

[Hafar1014]

I am sure you can come up with better reason than that to explain Trump's dismal numbers.

You never addressed my point. Under Trump in just 6 months inflation is down, wages are up trade deficit down, manufacturing investment is way up, foreign markets are opening, its all better.

 

[Hafar1014]

Yes, wages have increased in the US, with some data indicating they have outpaced inflation since 2020. Specifically, average wages for most US workers are up roughly 25.7% since 2020, while inflation is up about 20.9%. However, despite this, many consumers still feel burdened by high prices and housing costs.

Those burdens are in democrat states like CA and NJ causing people to leave and move to GOP states like Florida

 

[Moonglow]

Those burdens are in democrat states like CA and NJ causing people to leave and move to GOP states like Florida

West Virginia is not a blue state.

 

[JGalt]

I am sure you can come up with better reason than that to explain Trump's dismal numbers.

Those "dismal numbers" only exist in your pot-addled delusional brain.

• Core inflation beat market expectations for the fifth straight month — every full month since President Trump took office.
  • Since President Trump took office, core inflation has tracked at just 2.1% — levels not seen since the first Trump Administration, when prices were low and stable — and right in line with the Fed’s inflation target.
• Wholesale prices came in completely flat, below market expectations and underscoring the tremendous progress made on taming the Biden-era inflation crisis.
• Industrial production bested market expectations with a higher-than-expected climb, showing that inflation is falling as domestic production surges.
  • Manufacturing output has surged by 1.8% in the first five months of President Trump’s second term, compared to a -0.7% decline in the final five months preceding President Trump’s inauguration.
• Customs and tariff revenues have totaled $120 billion since President Trump took office — topping $100 billion in a fiscal year for the first time ever — including $7 billion in the last week alone, fueling the first June budget surplus in nearly a decade.
• Advance retail sales smashed expectations in June, showing that consumers are confident and spending thanks to low inflation and strong wage gains.
• Consumer sentiment shot up in July, beating market expectations yet again as inflation expectations for the next year dropped sharply.
• Initial claims for unemployment benefits fell for the fifth straight week, confirming the strong jobs report.
• Housing starts and permits for new builds both increased in June above market expectations.

Data Shows U.S. Economy Is Back on Track Under President Trump

 

[Moonglow]

You never addressed my point. Under Trump in just 6 months inflation is down, wages are up trade deficit down, manufacturing investment is way up, foreign markets are opening, its all better.

"Inflation cools" means the rate of price increases is slowing down, but it does not mean prices are decreasing. In other words, while the pace at which prices are rising is decreasing, they are still rising, just not as quickly as before, according to The Heritage Foundation and KET > Kentucky Educational Television https://ket.org/program/pbs-newshour/inflation-cools-but-prices-still-dominate-view-of-economy/.

Here's a more detailed explanation:

• Rate of Increase vs. Actual Prices:
  Inflation is a measure of how much the general level of prices for goods and services is rising over time. When we say inflation is cooling, we are referring to the percentage increase in prices, not the absolute prices themselves. For example, if a loaf of bread cost $3 last year and costs $3.30 this year, that's a 10% increase (inflation). If next year it costs $3.50, that's a smaller increase (around 6%), even though the price has still gone up.
  
  
• • Positive Impact:
    When inflation cools, it can be a positive sign for the economy because it means that the purchasing power of consumers is less eroded by rising prices. This can lead to increased consumer confidence and spending.
    
  • Different Measures:
    There are various ways to measure inflation, such as the Consumer Price Index (CPI) and the Producer Price Index (PPI). These measures may show different trends, but the general idea of cooling inflation means the rate of price increases is slowing.
    
  • Example:
    If the annual inflation rate was 9.1% in mid-2022 and has cooled to 2.3% in April, that means prices are still rising, but at a much slower pace.
    
  • Impact of Tariffs:
    While inflation may be cooling overall, some factors like tariffs can still put upward pressure on prices, meaning some goods and services may still see significant price increases.