OpenAI Previews GPT-5.6 Sol — A "Next-Generation" Model
OpenAI just dropped a preview of its next major model, GPT-5.6 Sol. Details are light, but the naming suggests a generational leap beyond the current 5.x line. With OpenAI's IPO looming and Anthropic filing its S-1, the frontier model race is intensifying — and enterprise teams should expect new capabilities to trickle into tools within months.
Read on OpenAI →PwC: AI-Exposed Companies See 40% Higher Productivity Growth
PwC's 2026 Global AI Jobs Barometer reveals a stark two-track economy. Companies most exposed to AI are seeing 40% higher productivity growth vs. the least exposed. The top quintile? A staggering 163% productivity gain. Meanwhile, skills for AI-exposed roles are changing 2x faster — and junior roles now demand leadership skills 7x more often. The gap between AI-ready and AI-lagging organizations is widening fast.
Read PwC Report →Chinese AI Models Gain Ground on OpenAI and Anthropic
Z.ai's GLM-5.2 is now the third most-used AI model globally, according to new NYT reporting. The model excels at code generation and powering AI agents — the exact capabilities enterprise buyers care about. This signals a real competitive shift: the "frontier model" conversation is no longer a two-horse race.
Read on NY Times →Amperity Named Leader in AI-Enabled CDPs
IDC MarketScape recognizes Amperity as a leader in AI-enabled Customer Data Platforms for B2C. Snowflake separately named them a leader in "Governing the Agentic Enterprise" — a telling phrase. The CDP market is no longer about data unification alone; it's about enabling AI agents to act on unified data.
Read on Business Wire →CRN: The 10 Hottest AI Startups of 2026
$300B poured into 6,000 AI startups in Q1 alone — 80% of all venture funding globally. CRN's top 10 includes Writer (AI agents for marketing teams), Cognition (autonomous coding with 90% self-written code), and Helix Digital (former AWS CEO's $20B infrastructure play). The theme: agentic AI is moving from hype to headcount replacement.
Read on CRN →💡 My Take
Read this one: The PwC Jobs Barometer. The 40% productivity gap is the number that should focus minds. This isn't about AI replacing jobs — it's about AI-equipped teams outrunning everyone else. The "professionalizing" vs. "democratizing" split they identify maps directly to knowledge work: will AI make your work more valuable, or more commoditized? Your answer depends on where you invest your learning.