Andrew Yang's AI Tax Push: 45% Youth Fear Jobs, Bitcoin (BTC) Impact

BTC

BTC/USDT

$64,349.23
+0.21%
24h Volume

$9,882,774,731.07

24h H/L

$65,058.81 / $64,027.85

Change: $1,030.96 (1.61%)

Long/Short
61.5%
Long: 61.5%Short: 38.6%
Funding Rate

+0.0011%

Longs pay

Data provided by COINOTAG DATALive data
Bitcoin
Bitcoin
Daily

$64,328.66

-0.61%

Volume (24h): -

Resistance Levels
Resistance 3$65,823.31
Resistance 2$64,980.20
Resistance 1$64,371.02
Price$64,328.66
Support 1$63,562.51
Support 2$62,617.14
Support 3$61,642.41
Pivot (PP):$64,604.03
Trend:Uptrend
RSI (14):52.4
(04:26 AM UTC)
4 min read
AI SummaryAI
  • A CNBC and Generation Lab survey found that 45% of Americans aged 18-34 expect AI to harm their careers.
  • Bridgewater Associates executives estimated that AI could displace 18% of current US jobs within five years.
  • The US Bureau of Labor Statistics reports the customer service sector employs approximately 2.9 million Americans.
  • Anthropic CEO Dario Amodei floated a 3% AI revenue tax in 2025.

Crypto News

Andrew Yang, the former 2020 US presidential candidate and current CEO of Noble Mobile, renewed his call for a federal tax on artificial intelligence during a CNBC appearance this week, arguing that the government should tax AI instead of payroll. Yang, who co-founded the Forward Party and has historically advocated for cryptocurrency adoption and clearer digital asset rules, said companies are increasingly choosing AI over new hires to sidestep payroll taxes and rising healthcare costs. He asserted that the tax burden should shift from labor to AI, a stance he first voiced in March on CNBC's Squawk Box, where he told the government to stop taxing labor. Yang pointed to a 3% AI revenue tax floated by Anthropic CEO Dario Amodei in 2025, which would apply each time an AI model generates revenue, and argued that the same logic should apply broadly. He proposed that the revenue from such an AI tax be sent directly to workers as checks, dismissing retraining programs as largely ineffective based on past efforts aimed at coal miners and warehouse staff. Yang's remarks also echoed concerns from sitting US senators about AI-driven job displacement, underscoring a bipartisan interest in addressing automation's economic impact. The proposal is a continuation of his 2020 campaign themes, where he warned of automation's disruptive potential and introduced a universal basic income plan called the Freedom Dividend. Yang emphasized that firms will need to weigh the costs of AI against payroll expenses, a calculation that could reshape hiring practices across industries. If implemented, the policy would mark a significant departure from payroll-based taxation, potentially setting a precedent for other technology-focused levies.

The debate is intensifying as fresh data highlight AI's potential impact on employment. A recent survey conducted by CNBC and Generation Lab, published on August 13, polled Americans aged 18 to 34 and found that 45% expect AI to harm their careers, while only 10% believe it will help. That pessimism aligns with an estimate from Bridgewater Associates executives Greg Jensen and Nir Bar Dea, who wrote an August 14 New York Times opinion piece projecting that AI could displace 18% of current US jobs within five years. The two executives used that estimate to support their own proposal for a tax on AI tokens, echoing Amodei's earlier idea. The labor market is already showing signs of this shift: the customer service sector, which employs approximately 2.9 million Americans according to the US Bureau of Labor Statistics, is increasingly relying on AI-powered tools. Yang's proposal to distribute tax revenues directly to workers as checks would bypass traditional retraining programs, which he argues have largely failed. He cited past efforts aimed at coal miners and warehouse employees as examples where government-assisted retraining did not lead to meaningful re-employment. The convergence of survey data, executive projections, and policy proposals suggests that AI's economic disruption is no longer a distant concern but a pressing issue for policymakers. As the debate over AI taxation gains momentum, its implications extend beyond traditional labor markets into the broader technology and digital asset sectors, where AI trading bots and crypto wallets are already reshaping how individuals interact with financial systems. The survey's 45% figure underscores a generational anxiety that could drive policy shifts, while the 18% job displacement estimate highlights the scale of disruption that policymakers must address.

The AI tax debate, which Yang has championed, carries significant implications for the cryptocurrency market, particularly Bitcoin (BTC). As a prominent figure who has repeatedly advocated for clear digital asset regulations, Yang's policy positions are closely watched by the crypto community. His push to tax AI rather than payroll could set a precedent for how emerging technologies are taxed, including digital assets. If such a tax framework were to be extended to blockchain-based systems and AI-driven crypto tools, it could influence investor sentiment and regulatory clarity for Bitcoin and other altcoins. The US Bureau of Labor Statistics reports that the customer service sector employs 2.9 million Americans, a figure that underscores the stakes of AI displacement and the urgency of policy responses. Given Bitcoin's sensitivity to regulatory headlines, this emerging policy discourse warrants close attention from market participants, and any shift toward a technology tax could potentially impact the distribution models of digital assets, including airdrops.

Add COINOTAG as a Preferred Source

Add COINOTAG to your preferred sources in Google News and Search to see our coverage first.

Add on Google
James Mitchell

James Mitchell

COINOTAG author

View all posts
AI-AssistedSenior Technical Analyst·James Mitchell is a senior technical analyst with over six years of dedicated cryptocurrency market analysis experience.

AI-generated, AI-reviewed, under COINOTAG editorial oversight.

Comments

Comments