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Rich Dad, Poor Dad author calls for $1 million BTC by 2035

Rich Dad, Poor Dad author calls for $1 million BTC by 2035 WikiBit 2025-04-20 07:52

Financial educator, author of Rich Dad, Poor Dad, and investor Robert Kiyosaki recently forecasted a $1 million Bitcoin (BTC) price by 2035 as the US

“In 2025, credit card debt is at all-time highs, US debt is at all-time highs, unemployment is rising, 401ks are losing, and pensions are being stolen. The USA may be heading for a greater depression,” Kiyosaki warned.

Kiyosaki, like many other sound money advocates, has continually warned of an impending financial crash brought on by expansionist monetary policies and fiscal irresponsibility. Bitcoin maximalists argue that loose monetary policy will drive the price of Bitcoin to seven-figures.

Analysts eye $1 million BTC in the 2030s

In May 2024, Twitter co-founder Jack Dorsey forecasted that the price of a single BTC would be $1 million by 2030 and could appreciate further.

Trader and investor Michaël van de Poppe told Cointelegraph, in November 2024, that Bitcoin could go to $1 million. However, the price appreciation would come with hyperinflation and a broader economic collapse, the trader said.

Blockstream CEO Adam Back said the price of Bitcoin could rise to $1 million per coin if the Trump administration established a Bitcoin strategic reserve for the United States and started buying Bitcoin on the open market.

On Dec. 10, Eric Trump delivered the keynote speech at the Bitcoin MENA event in Abu Dhabi, United Arab Emirates (UAE), and predicted that Bitcoin would hit $1 million due to its scarcity.

More recently, in February 2025, Ark Invest CEO Cathie Wood said that Bitcoin could hit $1.5 million by 2030 if demand for the digital asset continues to grow.

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The views in this article only represent the author's personal views, and do not constitute investment advice on this platform. This platform does not guarantee the accuracy, completeness and timeliness of the information in the article, and will not be liable for any loss caused by the use of or reliance on the information in the article.

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