Trump Tariffs Expected to Imposé $1,300 Invisible Tax Hike on U.S. Households by 2026
BlockBeats News, February 12th. According to Fortune, Trump's proposed tax cuts have been promoted as a key measure to address the affordability crisis and are expected to lead to the largest tax refund season in history. However, an analysis by the non-partisan think tank Tax Foundation indicates that the burden of tariffs effectively offsets the benefits of tax cuts, amounting to an invisible tax increase on American households. By 2025, the average burden per household is projected to be $1,000, increasing to $1,300 in 2026. Even accounting for tax refunds, the average loss per American is still around $300. In the long run, tariffs are expected to generate a net $1.9 trillion in fiscal revenue from 2025 to 2034, but tax cuts will reduce fiscal revenue by $4.1 trillion, resulting in an overall negative impact.
You may also like

The migration of settlement rights: B18 and the institutional starting point of on-chain banks

From Tencent and Circle: Looking at the Simple and Difficult Questions of Investment

The second half of stablecoins no longer belongs to the crypto circle

Cursor "Shell" Kimi Controversy Reversed: From Copyright Infringement Allegations to Authorized Collaboration, China's Open Source Model Once Again Becomes a Global AI Foundation

The Real Reason Tokens Don't Sell: 90% of Crypto Projects Overlook Investor Relations

Is the income of pump.fun real, earning a million dollars a day despite the market downturn?

The real reason why tokens are not selling: 90% of crypto projects neglect investor relations

Who is the true winner of the "Tokenization" narrative?

Moss: The Era of AI-Traded by Anyone | Project Introduction

Chip Smuggling Case Exposes Regulatory Loophole | Rewire News Evening Update

How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Ritmex demonstrates how disciplined risk control and structured signals can make an AI crypto trading bot more stable and reliable on WEEX, highlighting the importance of combining execution discipline with scalable AI trading systems.

Old Indicator Fails, Three Major New Signals Emerge: BTC True Bottom May Still Be Below $60K

Meeting OpenClaw Founder at a Hackathon: What Else Can Lobsters Do?

Huang Renxun's Latest Podcast Transcript: NVIDIA's Future, Embodied Intelligence and Agent Development, Soaring Demand for Inferencing, and AI's PR Crisis
How a Structured AI Crypto Trading Bot Won at the WEEX Hackathon
Crypto_Trade shows how structured inputs and controlled adaptability can build a more stable and reliable AI crypto trading bot within the WEEX AI Trading Hackathon, highlighting a practical path toward scalable AI trading systems.

AI Starts to Devour the Manufacturing Industry | Rewire News Morning Edition

When Scaling Meets Speed, Ethereum Foundation Introduces "Hardness" to Safeguard the Base Layer
