Tech Selloff Continues as Investors Question AI ROI | Bloomberg Tech 8/20/2025

Key Concepts

AI Valuation, Tech Selloff, Generative AI, Return on AI Investment (ROAI), AI Infrastructure, Large Language Models (LLMs), AI Agents, Cloud Computing, Data Centers, Government Investment in Tech, Restructuring, Productivity Metrics, Coding Agents, Vertical AI, Venture Capital, Zombie Unicorns, Custom Chips, On-Device LLMs, Personalized AI.

Market Selloff and AI Valuation Anxiety

The tech sector is experiencing a selloff, particularly impacting high-valuation AI-related stocks. Several factors contribute to this:

• Seasonal Trends: August historically sees market adjustments.
• Profit Taking: Investors are cashing in on gains from earlier in the year.
• High Valuations: Companies like Palantir, trading at 180 times future profits (down from 240 times just days prior), and NVIDIA have reached valuation levels difficult to justify.
• Slow News Environment: Outside of earnings season, there are fewer catalysts to drive positive sentiment.
• Macro Concerns: Uncertainty around the broader economic outlook contributes to investor anxiety.

Example: Palantir experienced its worst two days in at least four years, down 8%.

NVIDIA's Role: The upcoming NVIDIA results are a key event. Strong results could signal a buying opportunity, while weak guidance or concerns about China could exacerbate the selloff.

Intel's Situation

Intel is a special case, experiencing rallies based on potential government investment and Softbank interest. However, concerns remain about its ability to compete in chip design and manufacturing against companies like NVIDIA.

• Government Stake: Reports of the U.S. government considering a stake in Intel fueled a rally.
• Softbank Investment: Softbank's potential investment also contributed to the stock's rise.
• .COM Era Multiples: Multiples reached levels not seen since the .COM era.
• Competition: Intel lags behind NVIDIA in AI chip design and manufacturing.

Ryan: "There continues to be a lot of questions and concerns about whether Intel will be able to reestablish itself as a major player."

Microsoft's Cybersecurity Measures

Microsoft curtailed Chinese company access to advanced notifications about cybersecurity vulnerabilities after investigating a potential leak related to SharePoint hacks. This follows a campaign of cyberattacks attributed to state-sponsored hackers in China.

The Return on AI Investment (ROAI) Question

An M.I.T. study indicates that 95% of organizations are seeing zero return on their generative AI investments. This raises questions about the current state of AI adoption and its impact on productivity.

Anna: "I think you have to expect a lot of these efforts to fail in the beginning. You have to have failures before you can have -- that is why look at the AI numbers as incubation."

Oracle's Cloud Strategy and AI

Oracle has successfully reinvented itself as a key player in the AI boom, driven by its cloud infrastructure unit.

• Data Centers: Oracle is investing heavily in data centers, including a $1 billion+ per year investment in a West Texas facility.
• Key Customers: Oracle's cloud business is fueled by deals with companies like TikTok and OpenAI (Stargate project).
• Safra Catz (CEO): Initially hesitant, the CEO recognized the potential of cloud and AI after seeing the success of deals like TikTok.
• Revenue Projections: Wall Street expects cloud to be the largest share of Oracle's revenue by 2029.

Brady: "They have managed to reinvent themselves from a legacy company to one of the center of the AI boom."

Customer Concentration: Oracle's cloud business is somewhat concentrated, with a significant portion of the backlog tied to AI training deals.

Bank of America's AI Implementation

Bank of America is leveraging AI to improve customer service and employee productivity.

• Digital Transformation: 99% of customer interactions are digital, and 65% of account openings are done digitally (up from 0% a decade ago).
• Client Satisfaction: Client satisfaction scores have increased from the high 70s to 89.1.
• ERICA: The bank's AI-powered virtual assistant, ERICA, has facilitated 3 billion transactions.
• Employee Applications: Generative AI is used to assist high-net-worth advisors in preparing for client meetings, saving significant time.
• Patent Portfolio: Bank of America has 7800 patents.
• Multi-Level Approach: The bank is using a combination of commodity AI solutions and custom-built models.
• Coding Agents: 17,000 developers use coding agents to improve productivity and reduce defect density.

Hari Gopalkrishnan (Bank of America): "We have enough reality to know we are not going to build foundation models. Want to build upon all the investment happening in the industry."

Meta's AI Restructuring

Meta is restructuring its AI group, splitting it into four distinct teams, including a dedicated infrastructure team. This follows significant investments in AI talent and infrastructure.

• Super Intelligence Labs: The restructuring is led by the new chief of Meta Super Intelligence Labs.
• Infrastructure Investment: Mark Zuckerberg has pledged to spend hundreds of billions of dollars on AI infrastructure.
• Investor Analysis: Meta is seen as a leader in demonstrating returns on AI infrastructure investment, particularly in advertising.
• Long-Term Vision: Meta's AI investments are tied to augmented reality, virtual reality, and integrating its three major apps (Facebook, Instagram, WhatsApp).

Rohit: "Zuckerberg is investing as if it is an existential, once in a lifetime opportunity to even bigger than when iPhone was launched."

Comparison to Competitors: Meta is currently seen as a bigger winner in AI than Alphabet (Google) and Amazon, although Amazon has greater long-term potential due to its broader surface area for improvement.

EliseAI: Vertical AI in Housing and Healthcare

EliseAI, a startup founded in 2017, offers conversational AI solutions for the housing and healthcare industries.

• Series EE Round: The company recently raised a Series EE funding round.
• Focus on Specific Industries: Investors are excited about vertical AI solutions that address specific industry problems.
• Mission-Driven: The company's mission is to develop advanced technology for industries that serve fundamental human needs.
• Market Penetration: One in every eight apartments uses EliseAI software.
• Team Expansion: The funding will be used to expand the company's engineering, research, and operations teams.

Minna: "Investors are excited about investing in vertical AI that solstices -- specific problems for specific industries, which is what we do in the housing and health care industries."

Venture Capital Trends

The venture capital market is experiencing a divide, with AI mega-companies raising large rounds while other startups struggle.

• AI Mega-Rounds: AI companies are raising rounds frequently.
• Zombie Unicorns: Many unicorns minted in 2021, particularly non-AI native companies, are struggling and becoming "zombie unicorns."
• Industry Weakness: E-commerce, fintech, and cryptocurrency companies are facing challenges.
• Consolidation: Some consolidation is expected, but many companies will quietly disappear.

Kate: "VC's call these the non-AI native companies that are trying to incorporate AI but they were born before ChatGPT."

Google's Hardware Strategy

Google is showcasing new Pixel hardware at its Made by Google event, emphasizing its custom chip advantage and on-device LLM capabilities.

• Custom Chips: Google has an advantage in custom chips.
• On-Device LLMs: The new Pixel version will run LLMs natively.
• AI Agents: On-device LLMs are seen as key to the future of AI agents.
• Chrome Browser: Google's Chrome browser provides a unique advantage.
• Personalized AI: Google's combination of chips, data, and apps enables personalized AI.
• Wearables: Integration of AI into wearables is expected.

Mandeep: "At the end of the day, LLM's will be distilled into smaller versions that can do intelligent tasks, whether scheduling or voice assistants."

Conclusion

The tech landscape is currently characterized by both excitement and anxiety. While AI continues to be a major area of investment and innovation, questions remain about valuations, the return on investment, and the long-term impact on various industries. Companies like Oracle and Bank of America are demonstrating successful AI implementations, while others are struggling to adapt. The venture capital market is also experiencing a shift, with a growing divide between AI mega-companies and other startups. Google is positioning itself as a leader in personalized AI through its hardware and software ecosystem.