The NVIDIA CEO has announced his company will invest on American-made chips

5 months ago
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NVIDIA's CEO has made an announcement that represents a major boost for the US tech industry and an endorsement of former President Donald Trump's leadership. In a recent statement, Jensen Huang, CEO of the semiconductor giant, revealed that his company plans to invest ‘hundreds of billions’ of dollars in US chip manufacturing over the next four years under Trump.

This decision comes at a crucial time, when global competition for supremacy in artificial intelligence and semiconductors has intensified. With China and other countries moving aggressively in this area, NVIDIA's massive investment in domestic chip production strengthens US technological sovereignty and reduces dependence on foreign markets.

The announcement also underscores industry leaders' confidence in the economic and technology policies of Trump, who during his first term promoted domestic manufacturing incentives, tax cuts and regulations that facilitated business growth. Unlike the Biden administration, which has been criticised for its lack of focus on strengthening domestic manufacturing, Trump's potential return to the White House appears to be generating favourable expectations among major tech players.

NVIDIA's investment will not only strengthen the United States' position as a leader in advanced chip innovation, but will also create thousands of high-paying manufacturing and technology jobs. This is a significant boost to the US economy and a clear message that private industry responds with confidence to leadership that fosters competitiveness and technological independence.

In contrast, the Biden administration has been singled out for policies that have weakened domestic production and allowed foreign competition, especially from China, to gain ground in strategic sectors. NVIDIA's plan suggests that with strong, pro-business leadership in the White House, tech companies would be willing to redouble their efforts to maintain US supremacy in artificial intelligence and semiconductors.

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