Meta loses 20M users while pumping billions more into AI infrastructure

Meta reported losing 20 million users in Q1 2026 during its earnings call Wednesday. The company announced plans to increase AI infrastructure spending by billions more this year despite the user decline.

CFOs and marketing leaders should audit their Meta ad spend efficiency metrics. Calculate cost-per-acquisition trends over the last two quarters to determine if declining reach is inflating your customer acquisition costs.

OpenAI CEO Sam Altman announced GPT-5.5-Cyber, a new frontier cybersecurity model that will not be available to the general public. The model will first roll out to a select group of critical cyber defenders only.

CISOs should contact OpenAI directly to determine qualification criteria for access. Security teams at critical infrastructure companies should prepare use case documentation for potential early access requests.

Slaughter and May announced a firmwide rollout of Harvey's AI platform after a long evaluation period. The Magic Circle law firm becomes the latest major legal practice to select an enterprise legal AI tool.

General counsels should benchmark their current legal AI tools against Harvey's capabilities before renewal cycles. Law firm clients should ask their outside counsel which AI tools they're using and how it affects billing rates.

Legora completed a $50 million Series D extension with NVIDIA's NVentures and Atlassian as new investors. The extension brings Legora's total Series D round to $600 million in equity.

Legal operations teams should evaluate Legora's platform against current contract management and legal intelligence tools. IT procurement should assess whether Legora's NVIDIA partnership creates GPU infrastructure requirements for deployment.

Mayo Clinic validated an AI model that flags pancreatic cancer up to three years before standard clinical diagnosis. The landmark validation study demonstrates the model's ability to identify high-risk patients significantly earlier than current screening methods.

Chief medical officers should review their current cancer screening protocols and AI diagnostic tool budgets. Health system IT leaders should assess radiology infrastructure requirements for implementing early detection AI models.