IBM Pledges $150B US Investment, Apple Shakes Up AI Unit | Bloomberg Technology

Bloomberg TechnologyAbout 6 min readApr 29, 2025Watch original
THE SUMMARYAI-generated

Key Concepts

  • Earnings reports of Magnificent Seven companies (Meta, Microsoft, Apple, Amazon)
  • Impact of tariffs on tech companies and consumers
  • IBM's $150 billion investment in the U.S.
  • AI chip competition (Nvidia vs. Huawei, Intel)
  • Apple's AI and machine learning division shakeup
  • Generative AI platform Writer and its new Palmyra X5 model
  • Palo Alto Networks' acquisition of Protect AI
  • AI infrastructure and cybersecurity
  • VC funding for AI startups
  • Consolidation in the food delivery industry (Deliveroo, DoorDash)

Market Overview and Earnings Expectations

  • The market experienced a slight selloff after a strong rally last week.
  • Four of the Magnificent Seven companies are set to report earnings this week, holding a significant 20% weighting in the S&P 500.
  • Analysts are hesitant to downgrade expectations for these companies despite economic uncertainty.
  • Uncertainty surrounding the economic environment and company outlooks makes it difficult for analysts to peg their expectations and valuations.
  • Meta may feel the effects of Chinese companies like Temu and Shein reducing advertising spend.

Impact of Tariffs

  • President Trump's tariff announcements are impacting businesses and consumers.
  • Chinese apps have started passing on the costs of tariffs to consumers.
  • Shein has increased prices on some goods by as much as 300% due to tariffs.
  • Retaliatory programs by other trading partners (Canada, China, EU) have increased costs on goods from the U.S.
  • Tesla urged consumers to tap pre-tariff inventory before prices increased.
  • Amazon has about 77% of its products coming from China, which will have a long tail effect.
  • Economists warn of a potential COVID-like supply shock due to tariffs.
  • Cargo shipments from China to the U.S. have dropped in the wake of these tariffs.
  • China denies having any trade talks with the United States.
  • The Chinese want something much higher level, they want something launched formally.

IBM's Investment in the U.S.

  • IBM plans to invest $150 billion in the U.S. over the next five years.
  • This follows similar pledges from companies like Apple and Eli Lilly.
  • The investment is framed as "Made in America" initiative.
  • IBM will spend $30 billion in R&D in the U.S.
  • The question is whether this is an acceleration of existing spending or simply a "pretty bow" on planned investments.

AI Chip Competition

  • Huawei is testing a new AI processor to rival Nvidia.
  • Nvidia's stock is trading lower.
  • Nvidia acknowledges that if they are restricted from exporting chips to China, China will develop its own solutions over time.
  • Intel is trying to influence its company culture to improve its competitiveness.
  • Intel's CEO focused on fixing the company culture, which is seen as crucial for turning the company around.

Apple's AI Shakeup

  • Apple is breaking up its unified AI and machine learning divisions.
  • Siri launched in 2011, but by 2015-2016, Apple felt behind competitors like Google Assistant and Amazon's Alexa.
  • Apple hired John Giannandrea to consolidate AI efforts, but it hasn't worked out as expected.
  • Apple is going back to its functional organization, re-scattering AI teams across different divisions.
  • Siri is moved to the software engineering division, and robotics is moved to hardware engineering.
  • Apple is preparing for a world without a true AI chief.
  • Apple's upcoming earnings call will be important for addressing questions about AI, tariffs, and innovation.

Writer's Palmyra X5 Model

  • Writer, an enterprise AI platform, is launching a new adaptive reasoning model called Palmyra X5.
  • Palmyra X5 is built for Gentech AI and offers performance on par with other frontier models but is 3x faster and 4x cheaper.
  • It is available on AWS Bedrock.
  • Writer offers $.60 per one million input tokens and $6 per 10 million output tokens.
  • Writer has 100+ prebuilt agents built for the enterprise.
  • The model can process a full one million token prompt in 22 seconds and fire off multi-turn function calls in 300 milliseconds.
  • The model was trained on about $1 million of GPUs.
  • It uses a 100% synthetic-based approach, which is IP-friendly for enterprises.
  • It employs a hybrid attention mechanism, blending linear and other approaches, and a mixer of expert techniques.
  • Writer serves well-known companies like Uber, Fink, and Templeton.
  • Writer offers an end-to-end platform for building, activating, and supervising agents.
  • Writer is providing results in a time of economic uncertainty, similar to the explosion of collaboration tools during COVID.
  • CEOs are demanding to see if AI can perform tasks better before approving more headcount or software.
  • Writer is seeing M&A opportunities as other tech startups struggle with high expenses.

Palo Alto Networks' Acquisition of Protect AI

  • Palo Alto Networks is acquiring Protect AI to expand its capabilities in AI security.
  • The company is employing a "build and buy" strategy to build a platform for securely deploying AI.
  • Protect AI was working on scanning AI models to ensure there was no bad stuff lurking.
  • The combination of Palo Alto Networks and Protect AI allows for a more comprehensive offering to customers.
  • The next frontier of cybersecurity will be how to give control to AI agents and ensure they cannot be hijacked.
  • Palo Alto Networks sees cloud providers as partners, not competitors.
  • The company aims to provide an unbiased product that operates effectively on every cloud provider.
  • Palo Alto Networks believes the timing of AI adoption may not be perfect, but the overall direction is right.
  • In the short term (12-24 months), investment will go towards innovation and smarter models.
  • Once models are useful, the focus will shift to deploying them securely in businesses.

VC Funding and Startup Landscape

  • FPV has raised millions of dollars to find target startups.
  • FPV focuses on long-term founders and product-driven founders.
  • The current environment is tough, but FPV's investors are focused on the long term.
  • FPV advises founders to stay laser-focused on their mission and work with the times.
  • FPV's LPs are long-term thinkers with a 10-year liquidity time horizon.
  • FPV is looking for companies that are using AI to solve big problems and create things that were not previously possible.
  • FPV will invest wherever great founders are located, globally.

Food Delivery Industry Consolidation

  • Deliveroo shares are surging after DoorDash disclosed an acquisition offer of $3.6 billion.
  • DoorDash has had international expansion ambitions for some time.
  • A change in Deliveroo's share structure paved the way for consolidation.
  • European food delivery stocks have been well off their highs of three years ago.
  • Companies pumped huge investor cash during the pandemic, but growth has slowed as people dine more in restaurants.
  • Consolidation is seen as a way to ease up competition.

Synthesis/Conclusion

The technology landscape is currently shaped by several key factors: the upcoming earnings reports of major tech companies amidst economic uncertainty, the impact of tariffs on supply chains and consumer prices, and significant investments in AI infrastructure. Companies are strategizing around AI, with Apple reorganizing its AI divisions, Palo Alto Networks acquiring Protect AI to enhance AI security, and Writer launching a cost-effective AI model. The venture capital world remains active, with firms like FPV focusing on long-term investments in mission-driven founders. Finally, consolidation is occurring in the food delivery industry as companies seek profitability in a post-pandemic world. The overall sentiment is one of cautious optimism, with a focus on innovation, efficiency, and long-term growth despite short-term market volatility.

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