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Fable 5 and Mythos 5 remain offline under US export controls

A Department of Commerce directive issued June 12 has placed these frontier models under trade restrictions, treating them like weapons systems rather than software products.

The ban marks what some call the "most politically charged AI shutdown in history," with Fable 5 and Mythos 5 unavailable globally as of mid-June. Anthropic's Chris Ciauri predicted models would return "in the coming days," and prediction markets showed 57% odds of restoration before July 1. The situation underscores the growing geopolitical dimension of frontier AI access, with countries like South Korea's SK Telecom identified as security risk partners.

President Trump signs Executive Order 14409 on AI innovation and national security

The order balances advancing AI capabilities with national security considerations, directing federal agencies to modernize systems and enhance cyber defense within 30 days.

The White House emphasized the US aims to maintain global AI leadership without "stifling innovation with overly burdensome regulation." Key directives include the Department of the Treasury forming an AI cybersecurity clearinghouse, the Secretary of Homeland Security releasing binding operational directives for federal cyber defense, and a 60-day framework for "covered frontier models" that allows developers voluntary access to government review 30 days before public release. The order does not create mandatory licensing or permitting requirements for AI model development.

DeepSeek V4 Pro previewed with 1.6 trillion parameters

The new Mixture-of-Experts model represents a significant leap in model scale and capability, particularly for long-context workflows.

The V4-Pro's parameter count signals continued scaling in the industry, with DeepSeek positioning it as a low-cost option for AI agents and coding tools. The model is part of June 2026's record concentration of major AI model launches, which also included OpenAI's ChatGPT-5 and various advancements from Google, Microsoft, and xAI.

ServiceNow stock rallies 5.69 percent as AI momentum builds

Trading at $94.61 on June 26, the stock sees analyst targets raised to $130–$140.63 with strong fundamentals backing AI-driven growth.

ServiceNow shares climbed 5.69 percent on June 26, 2026, with analysts calling it "one of the cleanest SaaS operators" and raising price targets to $130 from $125. Wall Street consensus shows a Buy rating with a mean target of $140.63. The company reports approximately $13.28 billion in annual revenue with 22–24 percent growth over three to five years, and gross margins near 76.6 percent.

Key strategic drivers include expanded partnerships with IBM, Inspira Enterprise, Hackett, and Hewlett Packard Enterprise, positioning ServiceNow as the "operating layer for enterprise AI." A Form 144 filing indicates an insider or large shareholder plans to sell shares, noted as a potential near-term consideration. Quarterly operating cash flow stands at $1.67 billion with a P/E near 17.4.

Inspira Enterprise becomes full-spectrum ServiceNow delivery partner

The June 22 announcement marks a strategic expansion across AI, cybersecurity, and identity with 200+ ready-to-deploy use cases.

Inspira Enterprise, with 1,600+ professionals and 550+ clients globally, expanded its partnership with ServiceNow to cover the full portfolio including AI governance, Veza identity governance, and Armis asset intelligence. The company has deployed ServiceNow's AI Control Tower internally, onboarding 50+ AI agents and achieving a 40 percent increase in AI adoption with 35 percent productivity improvement.

The new ICNOW Centre of Excellence offers 200+ ready-to-deploy use cases across six industries, with pre-built cybersecurity accelerators reducing implementation effort by 60–70 percent. ServiceNow's Adrian Johnston, President APAC, noted that Inspira's dual role as customer and delivery partner gives enterprises a trusted implementation partner across the full ecosystem.

ServiceNow expands Autonomous Workforce across business functions

New AI specialists for IT, CRM, Employee Services, and Security now available, processing 100+ billion workflows annually.

At Knowledge 2026, ServiceNow announced expansion of its Autonomous Workforce with new AI specialists covering IT, Customer Relationship Management, Employee Service Teams, and Security and Risk. These specialists work alongside humans to complete end-to-end processes, not just tasks. The L1 IT Service Desk AI Specialist resolves cases 99 percent faster than human agents, while CRM specialists handle 100 million customer cases, 16 million orders, and 7 million quotes monthly.

All AI specialists run on the unified ServiceNow AI Platform with shared operational intelligence and governance. Early customer results include the City of Raleigh achieving a 98 percent deflection rate with virtual agent Ral-E, and Docusign targeting 90 percent autonomous ticket handling. The platform processes more than 100 billion workflows annually across AWS, Google Cloud, Microsoft, and NVIDIA partnerships.

IBM and ServiceNow deepen collaboration for enterprise AI at scale

June 11 partnership targets AI-ready data and legacy application modernization with joint solutions coming in H2 2026.

IBM and ServiceNow announced an expanded collaboration addressing two primary barriers to enterprise AI: the AI-ready data problem and the legacy application layer. The partnership combines IBM's AI, data, and automation capabilities with ServiceNow's platform to help enterprises evolve existing systems rather than replace them. Joint solutions focus on application modernization with IBM Bob and watsonx.data, enterprise data governance extending ServiceNow's Workflow Data Fabric, and autonomous infrastructure operations integrating Red Hat Ansible, Instana, and Hashicorp tools.

The collaboration aims to help enterprises move from AI ambition to scalable, real outcomes while maintaining control and trust. Joint solutions are expected to be available in the second half of 2026. ServiceNow CEO Bill McDermott noted the platform now "manages everyone else's board" as governance becomes the real barrier to enterprise AI adoption.