Chip Tax Credits Get Boost in Trump Tax Bill | Bloomberg Tech 6/17/2025

Key Concepts:

• Semiconductor industry incentives (CHIPS Act, tax credits)
• Rare earth element supply chain and China's dominance
• Lithium battery technology and U.S. manufacturing
• AI infrastructure buildout and investment
• AI-generated ads
• U.S. smartphone manufacturing challenges
• Autonomous vehicle technology and investment
• AI in finance and expense management

G7 Summit and Rare Earths Dependence on China

• President Trump left the G7 summit early, but other leaders continued discussions on AI, rare earths, and the geo-economy.
• The summit aimed for treatment platforms on various issues instead of a joint communique.
• The G7 countries are trying to reduce their dependence on China for rare earths, which are essential for technologies like EVs.
• The West lacks the capacity to produce rare earths at scale, making them reliant on China.
• China dominates the production of rare earths and permanent magnets.
• Export licenses for rare earths from China remain a concern despite trade deals.

Trump's Tax Bill and Semiconductor Incentives

• Trump's draft proposal aims to boost the chip tax credit from 25% to 30% to incentivize building in the U.S.
• Companies receive grants through the CHIPS and Science Act, but tax credits are more significant.
• TSMC plans to invest $65 billion in the U.S. over the next four years, potentially receiving a $49 billion tax break if the Senate plan passes.
• The proposed increase in the tax credit could result in an almost $8 billion difference for companies.

Semiconductor Industry and Investment

• The semiconductor industry is strategically important globally, with each country wanting domestic capacity for domestic consumption.
• It is too early to tell if federal support of chips is good for profit margins because there is a supply and demand.
• The market is forward-looking, so revenue profit today is not the only factor.
• The competition for technology is picking up, and there is an upgrade fracture.
• There is underlying demand for AI, and geopolitical tension is pushing the domestic push.
• The AI buildout is still in the early innings, with significant changes happening in infrastructure.
• The entire AI supply chain is optimistic, with demand picking up and adoption reaching an infection point.
• The pace of innovation is picking up, and the shape of the future is being formed.
• Innovation is happening on the industrial and energy transition fronts.

Pure Lithium and U.S. Battery Manufacturing

• Pure Lithium has created a lithium battery with materials completely sourced in the U.S.
• The U.S. does not produce battery materials or rare earths at scale.
• Pure Lithium replaces graphite in lithium-ion batteries with lithium metal made from brine, which is abundant in the U.S.
• The company has invented a better battery made with materials sourced outside of China.
• Graphite mining and processing are not done in the U.S.
• Pure Lithium's innovation is a step change in energy density, replacing graphite with pure lithium metal.
• The battery is 62% less expensive on a materials basis than in China, costing about $27 per kilowatt-hour.
• Manufacturing costs should be substantially less than lithium-ion because formation cycles are not needed.
• Pure Lithium is building a prototype pilot facility and will send batteries to U.S. customers.
• There is broad support to have a U.S. domestic supply chain for batteries, especially for the military.

Meta and AI-Generated Ads

• Meta is pushing deeper into AI-generated ads to simplify the process for marketers.
• The company has updated tools that will let marketers use AI to turn product pictures into video ads.
• Mark Zuckerberg has made AI the top priority this year.
• Scale AI founder Alexandr Wang is set to join Meta's intelligence team.
• Wang is well-connected in Silicon Valley and has a close relationship with Zuckerberg.
• Other companies may cut ties with Scale AI because of the Meta deal.

U.S. Smartphone Manufacturing Challenges

• President Trump wants smartphones built in the U.S.
• Manufacturing the iPhone in America is not simple and would be very expensive.
• The Trump family announced the Trump Mobile service and U.S.-made T1 smartphone for $499, running on Android OS.
• Currently, one startup makes a smartphone in the U.S., costing $2000.
• The FTC may investigate the Trump family's claim because the phone is likely made by a Chinese company.
• It takes many years to build up the entire supply chain to manufacture in the U.S.
• Liberty handset is $2000, reflecting the challenge of sourcing components and assembly in the United States.
• The cost of goods sold for a phone produced in China was $600, while manufacturing in the U.S. costs $650.
• In China, they can throw bodies at the problem, while in the U.S., innovation and engineering are needed.
• Tariffs are a fantastic incentive if they are not changing every week.
• Finding skilled labor is key to building the supply chain.
• The Trump family has been in direct communication with a legal group about potentially white labeling or contracting to do true U.S. manufacturing.

Applied Intuition and Autonomous Vehicle Technology

• Applied Intuition closed a funding round that values the company at $15 billion.
• The company is expanding beyond the automotive industry.
• Industries share many components, and intelligence is the important component.
• The technology used in robo cars or robotaxis is the same as in infantry squad vehicles, tanks, jets, or planes.
• The company's compensation includes equity, so independent investors are needed to value the company accurately.
• An IPO is a possibility in the future.
• Both camera-based and multi-sensor approaches to autonomous vehicles will exist in the ecosystem.
• The passenger car version has a driver in the loop, while the Waymo version has no driver.
• The robustness of the software has to be greater if there is no driver in the front seat.

Ramp and AI in Finance

• Ramp raised $2 million with a valuation of $16 million.
• The company helps reduce the average company's spend by about 5% per year.
• AI can do expense reports, bill runs, and make procurement easier.
• Ramp is doubling down on the product line, building workers that will allow companies to do their own expenses on autopilot.
• The biggest bottleneck is the product, with 50% of the payroll spent on research and development.
• 35% of customers come from word-of-mouth.
• The company is growing at a faster and much larger scale this year, with the enterprise segment more than doubling each year.
• Raising money is not just about raising capital but looking at the outside business.
• New York has incredible talent density.

Talking TechTarget

• Softbank raised $4.8 billion after selling a stake of T-Mobile shares to fund AI plans.
• A Chinese AI startup released a new them that they claim is more efficient than competitors.
• XAI is in talks to raise $4.3 billion in addition to the $5 billion it is trying to raise from debt investors.

Synthesis/Conclusion:

The broadcast covers a range of technology and economic topics, highlighting the strategic importance of semiconductors and rare earth elements, the challenges and opportunities in U.S. manufacturing, the rapid advancements in AI and autonomous vehicle technology, and the evolving landscape of financial technology. The discussions emphasize the need for innovation, investment, and strategic partnerships to compete in the global market and address critical supply chain vulnerabilities.