Figure AI CEO Brett Adcock revealed that for the first time, the company has more robot employees than human ones. The robotics startup, which develops advanced humanoid robots, shared a graph showing robots outnumbering humans as of 2026. Adcock also posted images of robots ready for deployment, highlighting rapid progress in autonomous capabilities. Figure 03 robots have demonstrated impressive performance, including processing nearly 250,000 packages with near-human sorting speeds and completing long autonomous operations without hardware failure. The company competes with Tesla, Agility Robotics, and others in scaling humanoid robots for industrial use. This milestone underscores the accelerating shift toward AI-powered physical labor in manufacturing and logistics environments.
The US government has reportedly asked OpenAI to slow the rollout of its upcoming GPT-5.6 model and release it in phases, starting with trusted partners instead of broad public access. According to Bloomberg, the Trump administration expressed growing concerns over advanced AI capabilities, especially following recent restrictions placed on Anthropic’s most powerful models. OpenAI CEO Sam Altman informed employees about the request during an internal meeting, noting the need to collaborate with the administration on safety measures. The development comes amid heightened national security discussions around frontier AI models and their potential risks. This intervention highlights increasing government scrutiny on the pace of AI advancement, balancing innovation with safety and strategic considerations in the global AI race.
Notion is shutting down its email product, Notion Mail, on September 22 as it goes all-in on AI agents. The company noted that more than half of Notion Mail users now manage their emails entirely through agents without ever opening the inbox, signaling a major shift in how people interact with email. Emails connected via Gmail will remain accessible, but users are advised to export drafts and scheduled messages. Notion’s AI agents will continue handling email workflows post-shutdown. This decision underscores the rapid rise of agentic AI in productivity tools. Notion is betting that autonomous agents represent the future of email management, moving away from traditional inboxes toward intelligent, automated systems.
OpenAI reports that 98% of its employees have shifted from using traditional chatbots to its Codex AI agents for daily work. The company claims this internal adoption has boosted productivity across technical and non-technical roles alike. However, all statistics shared are self-reported by OpenAI with no independent verification provided. The move reflects OpenAI’s strong belief in agentic AI as the future of work, positioning Codex agents as more capable collaborators that can handle complex, multi-step tasks autonomously. This internal transition is being presented as a leading indicator for broader industry adoption of agent-based workflows. While the high adoption rate is impressive, the lack of third-party validation raises questions about the true extent and measurable impact of the shift within the organization.
Agentic AI is fundamentally changing the role of CFOs by automating complex financial operations, enabling real-time decision-making, and shifting focus toward strategic value creation. According to PwC and OpenAI insights, autonomous AI agents are now handling treasury functions, forecasting, risk assessment, and compliance monitoring with minimal human intervention. CFOs are leveraging these agents to gain deeper predictive insights, optimize cash flow, and simulate multiple business scenarios instantly. This allows finance leaders to move from traditional reporting to proactive strategy and innovation leadership. The adoption of agentic systems is accelerating digital transformation in finance, demanding new skills in AI governance, data integrity, and ethical oversight while delivering unprecedented efficiency and competitive advantage for forward-thinking organizations.
Microsoft’s Chief Marketing Officer Paul Longo has stated that AI agents will soon determine which brands consumers encounter first in their decision-making journeys. As agentic AI becomes the primary interface for shopping, travel, and service discovery, these autonomous systems will evaluate options based on user preferences, past behavior, and real-time data before presenting choices. This shift moves marketing from competing for human attention to optimizing for AI agent preferences, requiring brands to focus on structured data, transparent pricing, reliability scores, and seamless API integrations. Longo emphasized that companies must prepare for an era where AI intermediaries control initial brand discovery and recommendations. This highlights a fundamental transformation in digital marketing and commerce, urging businesses to redesign strategies for an agent-driven future where visibility depends on machine-readable value propositions rather than traditional advertising.
LG CNS has introduced PerfecTwin ERP Edition, an agentic AI-powered solution for automating SAP ERP testing and migration. The platform uses real transaction data to generate test scenarios, detect anomalies, analyze root causes, and produce reports, dramatically reducing testing time from days to hours. It automates validation across finance, manufacturing, procurement, logistics, and HR modules, improving coverage and accuracy while enabling non-specialists to manage complex ERP projects effectively. LG CNS plans to evolve it into a fully autonomous testing system with multi-agent orchestration. Launched at SAP Sapphire 2026, the solution strengthens LG CNS’s global expansion in SAP cloud migrations and AI-driven enterprise transformation.
Oracle has announced the third cohort of its Defense Ecosystem, adding 10 emerging defense technology companies specializing in AI, cyber, autonomous systems, operational intelligence, and secure communications. The program connects these innovators with Oracle’s distributed cloud, sovereign cloud, and edge infrastructure to accelerate the transition from prototype to mission-ready capabilities for the US and allied nations. Partners include Defence Holdings and Shield Reply to provide acceleration, enablement, and deployment support. Notable deployments already include Whitespace’s Saga operational learning system on Oracle Roving Edge Devices for the Royal Navy. This initiative addresses the urgent need for faster integration of cutting-edge technologies into defense operations, helping national security organizations maintain technological superiority through secure, scalable cloud and AI infrastructure.
Unilever is scaling its AI-powered digital twin technology across more manufacturing facilities after achieving strong results at its North Carolina plant. The digital twins create virtual replicas of production lines, enabling real-time monitoring, predictive maintenance, and process optimization. At the North Carolina site, the technology delivered significant improvements in operational efficiency, reduced downtime, and enhanced quality control. The expansion will help Unilever drive sustainability goals and supply chain resilience globally. This move reflects growing industry adoption of digital twins for smart manufacturing. By simulating scenarios and analyzing vast operational data, Unilever can make faster, more informed decisions while minimizing waste and energy consumption in its production processes.
The Gujarat government has successfully leveraged AI-powered systems to identify potential school dropouts at an early stage, resulting in over 90,000 children being brought back to classrooms. The initiative analyzes attendance patterns, academic performance, and socio-economic indicators to flag at-risk students proactively. By combining data from multiple government departments, the AI model enables targeted interventions by teachers, counselors, and local authorities. This data-driven approach has significantly improved retention rates across primary and secondary schools in the state. The success demonstrates how AI can address critical social challenges in education, offering scalable solutions for other regions. It highlights the potential of technology to support inclusive learning while reducing dropout rates through timely and personalized support mechanisms.
Figure AI CEO Brett Adcock revealed that for the first time, the company has more robot employees than human ones. The robotics startup, which develops advanced humanoid robots, shared a graph showing robots outnumbering humans as of 2026. Adcock also posted images of robots ready for deployment, highlighting rapid progress in autonomous capabilities. Figure 03 robots have demonstrated impressive performance, including processing nearly 250,000 packages with near-human sorting speeds and completing long autonomous operations without hardware failure. The company competes with Tesla, Agility Robotics, and others in scaling humanoid robots for industrial use. This milestone underscores the accelerating shift toward AI-powered physical labor in manufacturing and logistics environments.
The US government has reportedly asked OpenAI to slow the rollout of its upcoming GPT-5.6 model and release it in phases, starting with trusted partners instead of broad public access. According to Bloomberg, the Trump administration expressed growing concerns over advanced AI capabilities, especially following recent restrictions placed on Anthropic’s most powerful models. OpenAI CEO Sam Altman informed employees about the request during an internal meeting, noting the need to collaborate with the administration on safety measures. The development comes amid heightened national security discussions around frontier AI models and their potential risks. This intervention highlights increasing government scrutiny on the pace of AI advancement, balancing innovation with safety and strategic considerations in the global AI race.
Notion is shutting down its email product, Notion Mail, on September 22 as it goes all-in on AI agents. The company noted that more than half of Notion Mail users now manage their emails entirely through agents without ever opening the inbox, signaling a major shift in how people interact with email. Emails connected via Gmail will remain accessible, but users are advised to export drafts and scheduled messages. Notion’s AI agents will continue handling email workflows post-shutdown. This decision underscores the rapid rise of agentic AI in productivity tools. Notion is betting that autonomous agents represent the future of email management, moving away from traditional inboxes toward intelligent, automated systems.
OpenAI reports that 98% of its employees have shifted from using traditional chatbots to its Codex AI agents for daily work. The company claims this internal adoption has boosted productivity across technical and non-technical roles alike. However, all statistics shared are self-reported by OpenAI with no independent verification provided. The move reflects OpenAI’s strong belief in agentic AI as the future of work, positioning Codex agents as more capable collaborators that can handle complex, multi-step tasks autonomously. This internal transition is being presented as a leading indicator for broader industry adoption of agent-based workflows. While the high adoption rate is impressive, the lack of third-party validation raises questions about the true extent and measurable impact of the shift within the organization.
Agentic AI is fundamentally changing the role of CFOs by automating complex financial operations, enabling real-time decision-making, and shifting focus toward strategic value creation. According to PwC and OpenAI insights, autonomous AI agents are now handling treasury functions, forecasting, risk assessment, and compliance monitoring with minimal human intervention. CFOs are leveraging these agents to gain deeper predictive insights, optimize cash flow, and simulate multiple business scenarios instantly. This allows finance leaders to move from traditional reporting to proactive strategy and innovation leadership. The adoption of agentic systems is accelerating digital transformation in finance, demanding new skills in AI governance, data integrity, and ethical oversight while delivering unprecedented efficiency and competitive advantage for forward-thinking organizations.
Microsoft’s Chief Marketing Officer Paul Longo has stated that AI agents will soon determine which brands consumers encounter first in their decision-making journeys. As agentic AI becomes the primary interface for shopping, travel, and service discovery, these autonomous systems will evaluate options based on user preferences, past behavior, and real-time data before presenting choices. This shift moves marketing from competing for human attention to optimizing for AI agent preferences, requiring brands to focus on structured data, transparent pricing, reliability scores, and seamless API integrations. Longo emphasized that companies must prepare for an era where AI intermediaries control initial brand discovery and recommendations. This highlights a fundamental transformation in digital marketing and commerce, urging businesses to redesign strategies for an agent-driven future where visibility depends on machine-readable value propositions rather than traditional advertising.
LG CNS has introduced PerfecTwin ERP Edition, an agentic AI-powered solution for automating SAP ERP testing and migration. The platform uses real transaction data to generate test scenarios, detect anomalies, analyze root causes, and produce reports, dramatically reducing testing time from days to hours. It automates validation across finance, manufacturing, procurement, logistics, and HR modules, improving coverage and accuracy while enabling non-specialists to manage complex ERP projects effectively. LG CNS plans to evolve it into a fully autonomous testing system with multi-agent orchestration. Launched at SAP Sapphire 2026, the solution strengthens LG CNS’s global expansion in SAP cloud migrations and AI-driven enterprise transformation.
Oracle has announced the third cohort of its Defense Ecosystem, adding 10 emerging defense technology companies specializing in AI, cyber, autonomous systems, operational intelligence, and secure communications. The program connects these innovators with Oracle’s distributed cloud, sovereign cloud, and edge infrastructure to accelerate the transition from prototype to mission-ready capabilities for the US and allied nations. Partners include Defence Holdings and Shield Reply to provide acceleration, enablement, and deployment support. Notable deployments already include Whitespace’s Saga operational learning system on Oracle Roving Edge Devices for the Royal Navy. This initiative addresses the urgent need for faster integration of cutting-edge technologies into defense operations, helping national security organizations maintain technological superiority through secure, scalable cloud and AI infrastructure.
Unilever is scaling its AI-powered digital twin technology across more manufacturing facilities after achieving strong results at its North Carolina plant. The digital twins create virtual replicas of production lines, enabling real-time monitoring, predictive maintenance, and process optimization. At the North Carolina site, the technology delivered significant improvements in operational efficiency, reduced downtime, and enhanced quality control. The expansion will help Unilever drive sustainability goals and supply chain resilience globally. This move reflects growing industry adoption of digital twins for smart manufacturing. By simulating scenarios and analyzing vast operational data, Unilever can make faster, more informed decisions while minimizing waste and energy consumption in its production processes.
The Gujarat government has successfully leveraged AI-powered systems to identify potential school dropouts at an early stage, resulting in over 90,000 children being brought back to classrooms. The initiative analyzes attendance patterns, academic performance, and socio-economic indicators to flag at-risk students proactively. By combining data from multiple government departments, the AI model enables targeted interventions by teachers, counselors, and local authorities. This data-driven approach has significantly improved retention rates across primary and secondary schools in the state. The success demonstrates how AI can address critical social challenges in education, offering scalable solutions for other regions. It highlights the potential of technology to support inclusive learning while reducing dropout rates through timely and personalized support mechanisms.