New Technology / Ai Development
Track AI development, model progress, product releases, infrastructure shifts and strategic technology signals across the artificial intelligence sector.
Meta to Deploy Homegrown Chips, Uber to Offer Zoox Rides | Bloomberg Tech 3/11/2026
Topic
AI and Technology Developments
Key insights
- Oracles $90 billion sales reflect strong AI demand, boosting investor confidence
- Oracle reported $90 billion in sales for the fiscal year, indicating strong demand for AI computing. The company's capital expenditures remain steady at $50 billion, reflecting confidence in its operational execution.
- AI capital expenditures remain high, indicating strong growth potential in the sector
- Oracle's earnings report indicates a strong demand for AI capital expenditures, reflecting growth potential in the sector. The overall economic outlook suggests a 10 percent earnings growth for the S&P 500 this year, driven by above-trend GDP growth.
- Meta will deploy four new generations of in-house AI chips by 2027 to enhance AI workloads, reflecting a commitment to efficient architecture and production
- Meta plans to deploy four new generations of in-house AI chips by 2027 to enhance AI workloads. This initiative reflects the company's commitment to developing efficient architecture and production capabilities.
Perspectives
Analysis of AI and technology developments in the current market.
Proponents of AI Integration
- Highlight strong demand for AI capital expenditures
- Claim Oracles earnings indicate growth potential in AI sector
- Argue Metas chip development will enhance AI workloads
- Propose Uber and Zooxs robotaxi launch will improve customer experience
- Emphasize Genie Codes role in automating machine learning model creation
Skeptics of AI Projections
- Question sustainability of Oracles growth amidst market competition
- Reject assumptions that AI capital expenditures will lead to uniform growth
- Warn about potential technological obsolescence of Metas chips
- Doubt effectiveness of data sharing in enhancing operational efficiency for Uber and Zoox
- Critique Genie Codes ability to democratize AI across varying skill levels
Neutral / Shared
- Acknowledge geopolitical risks affecting market dynamics
- Recognize the importance of capital expenditures in tech sector growth
- Note the evolving landscape of AI technology and its implications
Metrics
capital_expenditures
$50 billion USD
capital expenditures for the fiscal year
Steady capital expenditures indicate Oracle's commitment to growth and infrastructure.
Capital expenditures holding at $50 billion
growth
10 percent %
expected earnings growth for the S&P 500 this year
This growth is crucial for investor confidence and market stability.
we think earnings growth for the S&P 500 will be about 10 percent this year
GDP growth
2.4 percent %
expected real GDP growth for the US
Higher GDP growth can lead to increased corporate earnings and investment.
we're expecting 2.4 percent real GDP growth
job creation
25 to 30 million units
jobs either lost or destroyed each year in the US
This indicates a dynamic labor market where new opportunities arise despite job displacement.
there are about 25 to 30 million jobs either lost or destroyed
total jobs
170 million units
total jobs in the US each year
Understanding the scale of the job market helps gauge the impact of AI on employment.
there are 170 million jobs in the US each year
investment
not disclosed USD
investment in in-house chip development
Significant investment indicates Meta's commitment to AI technology.
they wouldn't give us a specific figure to how much they're spending on their own in house chip work
chip generations
four units
new generations of AI chips planned
The introduction of multiple chip generations suggests a strategic approach to meet evolving AI demands.
four new generations of chips planned over the next two years
employee acquisition
400 employees
new talent for chip development
Acquiring talent is crucial for enhancing Meta's chip development capabilities.
they were able to bring in more than 400 employees
Key entities
Timeline highlights
00:00–05:00
Oracle reported $90 billion in sales for the fiscal year, indicating strong demand for AI computing. The company's capital expenditures remain steady at $50 billion, reflecting confidence in its operational execution.
- Oracles $90 billion sales reflect strong AI demand, boosting investor confidence
05:00–10:00
Oracle's earnings report indicates a strong demand for AI capital expenditures, reflecting growth potential in the sector. The overall economic outlook suggests a 10 percent earnings growth for the S&P 500 this year, driven by above-trend GDP growth.
- AI capital expenditures remain high, indicating strong growth potential in the sector
10:00–15:00
Meta plans to deploy four new generations of in-house AI chips by 2027 to enhance AI workloads. This initiative reflects the company's commitment to developing efficient architecture and production capabilities.
- Meta will deploy four new generations of in-house AI chips by 2027 to enhance AI workloads, reflecting a commitment to efficient architecture and production
15:00–20:00
Meta plans to deploy four new generations of in-house AI chips by 2027 to enhance its AI workloads. Nvidia is investing $2 billion in Nebius to develop AI data centers, aiming for over five gigawatts of systems by 2030.
- Meta will deploy four new generations of in-house AI chips by 2027, enhancing its AI workloads
- Nvidia is investing $2 billion in Nebius to develop AI data centers, aiming for over five gigawatts of systems by 2030
- Nvidias investment led to an 18% rise in shares, indicating market confidence in its GPU leadership
- Databricks is launching Genie Code, an AI assistant to streamline coding and automate machine learning model creation
- Genie Code ensures production-ready code and monitors data pipelines, addressing reliability concerns
- Databricks acquired Quotient to enhance oversight of AI models in production
20:00–25:00
Genie Code automates machine learning model creation, making AI accessible to non-technical employees. Databricks Ventures' investment in Replete enhances AI adoption by enabling less technical staff to build functional software.
- Genie Code automates machine learning model creation, democratizing AI access for non-technical employees
- Databricks Ventures invested in Replete, enabling less technical staff to build functional software, boosting AI adoption
- Ali Ghodsi stated Databricks is focused on long-term AI developments, citing unfavorable market conditions for an IPO
- The integration of Genie Code with Cloud Code and Replete streamlines coding for data scientists, enhancing productivity
- Databricks employs around 10,000, with Genie Code assisting technical staff in automating complex data tasks
- Adoption of AI tools like Genie Code is expected to increase efficiency and innovation in data management
25:00–30:00
Meta plans to deploy four generations of in-house AI chips by 2027 to support its growing AI workloads. Uber and Zoox will launch robotaxis in Las Vegas this summer, marking a significant step in autonomous vehicle integration.
- Meta plans to deploy four generations of in-house AI chips by 2027 to support its growing AI workloads
- Uber and Zoox will launch robotaxis in Las Vegas this summer, marking a significant step in autonomous vehicle integration
- Ubers CEO highlighted the partnerships focus on enhancing distribution for Zoox, improving user experience