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Sanders Proposes $7 Trillion AI Fund with 50% Stock Tax
AI News & Trends

Sanders Proposes $7 Trillion AI Fund with 50% Stock Tax

Senator Sanders has proposed creating a $7 trillion fund to give the public a 50% ownership stake in major AI companies by having them issue new shares to the government. An independent commission would manage the fund, focusing on worker rights, safety, fair competition, and environmental goals. The proposal might raise about $350 billion per year, possibly paying over $1,000 per person, but experts say actual payouts could be small at first since many AI companies are not yet profitable. The plan appears to face strong political opposition and legal questions, and some industry leaders suggest smaller alternatives. Early returns from the fund may depend more on long-term growth than immediate profits.

DOE Targets 2028 for First Fault-Tolerant Quantum Computer
AI News & Trends

DOE Targets 2028 for First Fault-Tolerant Quantum Computer

The Department of Energy plans to build the first fault-tolerant quantum computer for scientific discovery by 2028, following new executive orders signed by President Trump. This computer may have 150-250 logical qubits and must meet strict error rates, but experts note that error correction is still a big challenge. Private companies like IBM and PsiQuantum might reach similar milestones around the same time, though success is not certain. The orders also call for faster work on quantum sensors, networks, and workforce training, with several government agencies assigned specific tasks. Some experts suggest the 2028 goal is ambitious and may only lead to a first demonstration rather than a full, ready-to-use system.

Google DeepMind CTO Unveils AI Strategy for Gemini 3.5, Agentic Software
AI News & Trends

Google DeepMind CTO Unveils AI Strategy for Gemini 3.5, Agentic Software

Koray Kavukcuoglu, Google DeepMind's CTO, will talk about AI model development and product integration at an event in San Francisco in September 2026. He may discuss topics like agentic AI, instruction following, multimodal media, and safety-first engineering, which he has mentioned before. The event appears to focus on new AI research and how it is used in products, including comparisons between big labs like DeepMind and smaller startups. Kavukcuoglu's team is updating the Gemini AI models every six months, guided by user feedback from billions of interactions. There may also be discussion about how talent and ideas are flowing between large tech companies and startups, and about the challenges both face with scaling, cost, and safety.

Core Automation targets $4B valuation months after $1B seed round
AI News & Trends

Core Automation targets $4B valuation months after $1B seed round

Core Automation, a new research lab, was valued at $1 billion just six weeks after starting in early 2026 and now may be seeking a $4 billion valuation, though no deal has been finalized yet. The company focuses on building new AI learning methods and a continual-learning model called Ceres, but it has not released any products or demos so far. Core Automation has hired top talent from labs like Anthropic and Google DeepMind, which appears to attract investor interest, especially given the current trend of large investments in AI startups. Some questions remain about whether the company will reach its funding goals and if its models will be ready before competitors. The situation suggests that alumni networks and investor excitement may be driving these high valuations for early-stage AI companies.

Mozilla's AI finds 271 Firefox bugs, some 15 years old
AI News & Trends

Mozilla's AI finds 271 Firefox bugs, some 15 years old

Mozilla engineers report that an AI harness using Anthropic's model found 271 old Firefox bugs, some dating back 15 years. The system may have sped up finding and fixing issues that survived previous testing methods. The process uses two separate AI agents: one to find crashes and another to verify them before humans check the results. Mozilla suggests this method keeps false positives low. The findings suggest that using advanced AI models could make fixing browser bugs much faster.

Studies show AI coding boosts speed, but review bottlenecks stall releases
AI News & Trends

Studies show AI coding boosts speed, but review bottlenecks stall releases

Recent research suggests that while AI helps developers write code faster, it does not always make software releases quicker because reviewing and integrating the extra code may create new delays. Studies show coding tasks may be finished 20 - 45 percent faster with AI, but review times for code appear to increase, and more bugs might be released. Only teams that change their workflows see big improvements, and most of a developer's time is still spent on tasks other than just writing code. Experts recommend updating work habits and tracking new metrics to get the most value from AI tools in software development.

Sanders proposes $7 trillion AI fund, wants 50% public stake in AI firms
Business & Ethical AI

Sanders proposes $7 trillion AI fund, wants 50% public stake in AI firms

Senator Sanders has proposed a plan where companies making at least $200 million a year from AI would give half their shares to a public fund, which might be worth about $7 trillion. A special commission would manage these shares and could give out about $1,000 a year to each person, but experts say this amount is not certain and depends on company profits. The bill does not have support from Republicans or other Democrats, and many say it is unlikely to pass in the current Congress. Some people worry the plan could lower company values and mix up government roles, while others say it could give the public more control over AI.

Unilever, PepsiCo Scale AI to Cut Costs, Accelerate Product Cycles
AI News & Trends

Unilever, PepsiCo Scale AI to Cut Costs, Accelerate Product Cycles

Unilever and PepsiCo are using AI to cut costs and speed up product development, and early results suggest these tools give them a lasting competitive edge. AI models may help companies launch products faster, forecast demand more accurately, and manage supply chains better. Some studies report that Unilever's use of AI raised sales by 30 percent and cut extra inventory by 15 percent, while PepsiCo shortened development time from months to weeks. Experts note that the biggest gains may come to companies that make AI a key part of their daily operations, rather than a side project. The impact of AI on profits and growth is still uneven, but experts believe that how deeply a company uses AI will matter more than its size.

Gartner: AI Accelerates Vulnerabilities, Exposure Management Needs Network Context
AI News & Trends

Gartner: AI Accelerates Vulnerabilities, Exposure Management Needs Network Context

Gartner's new guidance suggests that using network context is important for managing security exposure, since counting vulnerabilities alone may not show real risk. AI tools now find thousands of weaknesses much faster than companies can fix them, so old ways of making simple lists may not work anymore. The report recommends focusing on which systems are most important, how easy they are to attack, and whether the problems can really be exploited. Steps like tagging assets, linking vulnerabilities to real risks, and automating fixes may help teams keep up. Reports to leadership should focus on reducing risk to business, not just on how many patches were applied.

Kearney Study: 38% of CEOs See AI Hype, Prioritize Data Readiness
AI News & Trends

Kearney Study: 38% of CEOs See AI Hype, Prioritize Data Readiness

Kearney's study finds that 38% of CEOs believe there is still hype around AI and are focusing their budgets on careful rollouts instead of spending freely. The research suggests that companies get better results when they adopt AI in small, measured steps and make sure their data is clean and organized first. It appears that ongoing costs for data and maintenance can be as high as the initial setup. The study also recommends testing AI projects with clear goals before investing more money. While 62% of CEOs see AI as transformative, most think that real value only comes when data is reliable and workflows are improved.

ByteByteGo unveils AI playbook for engineering transformation at scale
AI News & Trends

ByteByteGo unveils AI playbook for engineering transformation at scale

ByteByteGo released a guide that may help big engineering teams use AI more effectively across their companies. The playbook suggests starting with small teams, led by a dedicated leader, who use AI in their daily work and then spread successful practices to the rest of the company. It warns about common mistakes, like treating AI as just another tool or focusing on the wrong metrics. Progress should be measured by real results, not just activity. The guide does not promise that every company will succeed, but it suggests that strong leaders and clear goals might help drive lasting change.

OpenAI Expands Enterprise Sales to 500, Boosts Recurring Revenue Push
AI News & Trends

OpenAI Expands Enterprise Sales to 500, Boosts Recurring Revenue Push

OpenAI has grown its enterprise sales team to over 500 people, which may signal a move toward larger and more regular contracts with big companies. The company appears to be shifting from simple API usage to more complicated, multi-year deals, and enterprises may soon see new pricing structures and rules. OpenAI's offers for big buyers include different types of contracts, such as seats for each user, usage by tokens, and custom solutions. Sources suggest that new contracts now require higher service availability, better data controls, and stronger security standards. Experts recommend that companies set clear rules and checks before buying AI, since deals are getting more complex and might involve several pricing models.

Investment Firms Adopt AI to Automate Research, Keep Humans In Loop
Institutional Intelligence & Tribal Knowledge

Investment Firms Adopt AI to Automate Research, Keep Humans In Loop

Investment firms are starting to use AI to make research faster, but they still keep humans in charge of final decisions. AI may help with tasks like summarizing documents, sorting large lists, and searching data, but analysts check and approve the results. Different tools have different strengths, so firms might use a mix of them. Best practices suggest that every AI output should be reviewed by a person, especially for important decisions. Firms measure things like speed, mistake rate, and user happiness to decide if new AI workflows are ready for regular use.

Salesforce acquires Fin for $3.6B, boosts AI customer service
AI News & Trends

Salesforce acquires Fin for $3.6B, boosts AI customer service

Salesforce has agreed to buy Fin, an AI customer service company, in a deal worth about $3.6 billion. The deal may close in late 2027 if regulators approve it. Salesforce says this purchase should make its Agentforce AI framework stronger and help customers launch support agents faster. Fin's AI handles support across many channels and reportedly solves most issues without a person. Some changes for Fin's customers might happen after the deal is final, but near-term disruption appears unlikely.

OpenAI burned $3.7 billion in Q1 2026, raising sustainability questions
AI News & Trends

OpenAI burned $3.7 billion in Q1 2026, raising sustainability questions

OpenAI reportedly spent $3.7 billion in the first quarter of 2026, which is over half of its $5.7 billion in revenue. Most of this spending appears to go toward running and training large AI models, with compute being the biggest cost. Although OpenAI has over $73 billion in cash, there are concerns about whether current spending can keep up with revenue growth. Some estimates suggest OpenAI's yearly cash burn could reach $27 billion, and break-even may not happen before 2030. These figures highlight the high costs and uncertainty around the sustainability of advanced AI development.