The U.S. government is significantly expanding its investment in artificial intelligence, awarding major contracts to leading tech companies. The Pentagon selected Alphabet's Google Cloud division to lead the new GenAI.mil platform, a key part of the White House's AI Action Plan. This initiative provides government workers with a suite of AI tools, leveraging Alphabet's Gemini platform for broader generative AI capabilities. Alphabet also secured a substantial $998 million, five-year contract from the Pentagon to develop and deploy AI services for the U.S. Army's Project Convergence, aiming to enhance battlefield awareness and decision-making. While Palantir Technologies has historically been a dominant force in defense AI with specialized tools like Foundry and Gotham, Alphabet's recent wins highlight increasing competition in the sector. Experts suggest that Alphabet's generative AI systems, such as Gemini, can complement Palantir's specialized AI Platform (AIP), indicating a potential for collaboration rather than outright replacement. This strategic approach allows the government to integrate diverse AI capabilities from various high-performance companies, ensuring a comprehensive and robust AI infrastructure for defense needs. Beyond government applications, AI is also making strides in industrial sectors. Velasea and SORBA.ai recently partnered to deliver scalable industrial intelligence globally. Velasea provides rugged, industrial-grade hardware platforms, which are optimized to run SORBA.ai's no-code AI platform. This collaboration enables manufacturers, energy companies, and other industrial operators to quickly and securely deploy AI applications like predictive maintenance, anomaly detection, and process optimization directly at the edge, simplifying complex deployments without requiring specialized data scientists. Despite these advancements, the rapid integration of AI into daily life and the economy raises significant societal concerns. Studies, such as the "Iceberg Index" by MIT and Oak Ridge National Laboratory, suggest that up to 12 percent of current U.S. jobs could be immediately susceptible to AI replacement. Major companies like Amazon.com Inc. are already cutting jobs and investing in automation, leading many Americans to worry about job displacement, potential biases, and the "black box" nature of AI. Google co-founder Sergey Brin acknowledged AI's coding abilities but cautioned about its potential for significant errors, advising students to leverage AI while pursuing computer science. Innovation continues with developments like a high school senior, Jacob Trentini, creating AI drone technology for first responders in San Jose, providing crucial "eyes on the scene" for emergencies. Meanwhile, AI company DeepSeek introduced a new concept, "manifold-constrained hyper-connections," on New Year's Day 2026, using a Birkhoff polytope to explain how complex systems maintain balance during internal change, relating to personal identity. In response to the evolving AI landscape, the White House updated its AI Action Plan, issuing an Executive Order on Safe, Secure, and Trustworthy AI and requiring federal agencies to ensure large language models adhere to unbiased AI principles by March 11. In related market news, BigBear.ai stock experienced a 2.7 percent drop in after-hours trading following regulatory filings that showed company executives, including CEO Kevin McAleenan, sold shares to cover tax obligations from restricted stock units. These dispositions occurred shortly after BigBear.ai announced plans to significantly reduce its outstanding convertible debt by approximately $125 million, reflecting ongoing financial adjustments within the AI industry.
Key Takeaways
- Alphabet's Google Cloud secured a $998 million, five-year contract from the Pentagon for AI services for the U.S. Army's Project Convergence and was chosen to lead the new GenAI.mil platform using its Gemini AI.
- Palantir Technologies, a traditional leader in defense AI, is expected to see its specialized tools like Foundry and Gotham complement Alphabet's broader generative AI capabilities.
- Velasea and SORBA.ai partnered to offer global industrial AI solutions, combining Velasea's rugged hardware with SORBA.ai's no-code platform for applications like predictive maintenance.
- Studies indicate that 12 percent of current U.S. jobs could be immediately replaced by AI, with companies like Amazon.com Inc. already investing in automation and cutting jobs.
- Americans express significant concerns about AI, including job displacement (nearly 75% worried), potential biases, and the creation of false information.
- Google co-founder Sergey Brin advises students to pursue computer science despite AI's coding skills, noting AI's potential for significant errors and its current suitability for creative tasks.
- A high school senior, Jacob Trentini, developed AI drone technology for Firebot Labs to assist first responders in assessing scenes like wildfires and car crashes.
- The White House's AI Action Plan includes an Executive Order on Safe, Secure, and Trustworthy AI, requiring federal agencies to ensure large language models follow unbiased AI principles by March 11.
- AI company DeepSeek introduced "manifold-constrained hyper-connections" on New Year's Day 2026, a concept using a Birkhoff polytope to explain how systems maintain balance during internal change.
- BigBear.ai stock dropped 2.7 percent after executives sold shares to cover tax obligations, following plans to reduce convertible debt by $125 million.
Pentagon picks Alphabet for new AI platform GenAI.mil
The Pentagon awarded Alphabet a major defense contract to lead the GenAI.mil platform. This new initiative provides government workers with a suite of AI tools as part of the White House's AI Action Plan. While Palantir Technologies often secures defense AI contracts with its specialized tools like Foundry and Gotham, Alphabet's Gemini platform offers broader generative AI capabilities. The article suggests Alphabet's win does not threaten Palantir's lead, as both companies' AI systems can work together for different defense needs. This move shows the government is increasing its AI investments across various top tech companies.
Alphabet wins 998 million dollar Army AI contract
The Pentagon awarded Alphabet Inc. a significant 998 million dollar contract over five years for AI services. Alphabet's Google Cloud division will develop and deploy AI capabilities for the U.S. Army's Project Convergence initiative. This project aims to improve battlefield awareness and decision-making. Palantir Technologies Inc. has long been a leader in defense AI, but Alphabet's strengths in cloud computing and AI research make it a strong competitor. This contract shows the defense AI sector is becoming more competitive, with major tech companies vying for these important deals.
Alphabet secures Pentagon AI platform contract
The Department of Defense created a new program called GenAI.mil as part of the White House's AI Action Plan. Alphabet was chosen to lead this initiative, featuring its Gemini AI platform. While Palantir Technologies has historically been a key AI provider for the U.S. Military with tools like Foundry and Gotham, Alphabet's Gemini is designed for broader generative AI tasks. The article suggests Palantir's specialized AI Platform AIP can work alongside Alphabet's Gemini ecosystem. This indicates the government is increasing its AI investments across various high-performance companies.
Velasea and SORBA.ai partner for industrial AI solutions
Velasea and SORBA.ai announced a partnership to bring scalable industrial intelligence to businesses. Velasea provides rugged, industrial-grade hardware platforms, while SORBA.ai offers a no-code AI platform. This collaboration allows manufacturers, energy companies, and other industrial operators to deploy AI applications faster and more securely. The combined solution helps teams build predictive maintenance, anomaly detection, and process optimization models without needing data scientists. This turnkey hardware-plus-software offering is available globally right away.
Velasea and SORBA.ai team up for industrial AI
Velasea and SORBA.ai have partnered to deliver scalable industrial intelligence by combining hardware and AI. Velasea offers rugged, industrial-grade hardware platforms, which will be optimized to run SORBA.ai's no-code AI platform. This allows industrial teams to quickly and securely deploy AI applications like predictive maintenance and anomaly detection closer to their operations. The joint solution simplifies edge AI deployments, ensuring strong performance and reliability for various industrial uses. This partnership is available globally for industrial and enterprise customers.
AI threatens jobs and changes the economy
Artificial intelligence is rapidly changing the job market, causing concerns similar to the Industrial Revolution. A study by MIT and Oak Ridge National Laboratory, called the "Iceberg Index," suggests that 12 percent of current US jobs could be replaced by AI immediately. Major companies like HP Inc., United Parcel Service Inc., and Amazon.com Inc. are already cutting jobs and investing in automation. This shift means companies are replacing human labor with AI, breaking the historical link between productivity and wage growth. Experts warn that a future recession could accelerate these job losses, leading to a recovery without new jobs. To adapt, people should consider investing in companies that build AI technology.
Americans worry about AI for many reasons
Many Americans feel uneasy about artificial intelligence, showing a new level of fear compared to past technological changes. AI tools like chatbots and autonomous agents are becoming common, leading to growing skepticism. People worry about AI taking jobs, with nearly three-quarters of Americans expressing this concern. They also distrust AI due to its "black box" nature, potential biases, and ability to create false information. Additionally, some feel they have no choice but to accept AI, as it impacts investments and is controlled by a few powerful companies.
East Bay teen creates AI drone tech for first responders
Jacob Trentini, a high school senior from Danville, developed artificial intelligence technology for drones used by first responders in San Jose. He works part-time at Firebot Labs, an AI startup, where he created the AI pipeline, including car detection and tracking algorithms. Firebot Labs' CEO, Jonathan Collazo, explains that this drone software helps first responders assess scenes like wildfires and car crashes before they arrive. This technology aims to provide "eyes on the scene" quickly, potentially saving lives and making a significant impact.
BigBear.ai stock drops after executive share sales
BigBear.ai stock fell 2.7 percent in after-hours trading after regulatory filings showed company executives sold shares. CEO Kevin McAleenan, CFO Sean Ricker, and General Counsel Carolyn Blankenship had shares withheld on December 31, 2025, to cover tax obligations from restricted stock units. For example, CEO McAleenan disposed of 4,663 shares at 5.50 dollars each. These share dispositions occurred shortly after BigBear.ai announced plans to significantly reduce its outstanding convertible debt by about 125 million dollars.
White House updates AI plan with new rules
The White House's AI Action Plan, released in July, aims to boost US leadership in artificial intelligence. Since then, federal agencies have made progress in procurement, regulation, and AI strategies. In December, the White House issued an Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence. The Office of Management and Budget also released a memo requiring federal agencies to ensure large language models they buy follow unbiased AI principles. Agencies must update their procurement rules by March 11, and departments like HHS and the U.S. Army have already launched their own AI strategies.
Google co-founder Sergey Brin advises students on AI
Google co-founder Sergey Brin spoke at Stanford University, offering advice to students about artificial intelligence. He encouraged students to pursue computer science, even though AI is skilled at coding. Brin noted that AI can make big mistakes in code, which has more serious consequences than errors in a literature essay. He suggested that AI is currently better suited for creative tasks. Brin advised students to use AI to their advantage, as it is a rapidly changing tool, and he personally uses it often for various tasks.
AI concept explains personal change and identity
This article explores how a new AI concept can help understand personal transformation. On New Year's Day 2026, AI company DeepSeek introduced "manifold-constrained hyper-connections," which use a mathematical structure called a Birkhoff polytope. This polytope acts like a stable container, allowing complex systems to change internally while maintaining overall balance, similar to how our sense of self remains stable despite life's changes. This idea connects to psychological concepts like "containment" in therapy. The article also uses the "Ship of Theseus" paradox and the caterpillar-to-butterfly transformation to show that identity lies in the structure and balance, not just individual parts.
Sources
- Did Alphabet Just Threaten Palantir's Artificial Intelligence (AI) Lead?
- Did Alphabet Just Threaten Palantir's Artificial Intelligence (AI) Lead?
- Did Alphabet Just Threaten Palantir's Artificial Intelligence (AI) Lead?
- Velasea and SORBA.ai Combine Hardware and AI to Power Scalable Industrial Intelligence
- Velasea and SORBA.ai Combine Hardware and AI to Power Scalable Industrial Intelligence
- How to Survive the AI Labor Crash That’s Already Accelerating
- Why Do Americans Hate A.I.?
- East Bay teenager creates AI tech used by first responders in San Jose
- BigBear.ai stock falls after executives disclose share dispositions By Investing.com
- White House AI Action Plan: Policy Changes Since July
- Sergey Brin Has One Piece of Advice for Students in the Age of AI
- How AI Illuminates the Architecture of Personal Transformation
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