ServiceNow CEO: AI Could Push College Grad Unemployment to 30%+
Bill McDermott told CNBC that AI agents will make it "challenging for young people to differentiate themselves in the corporate environment." He noted ServiceNow has already automated 90% of customer service use cases that previously required humans. Block just cut nearly half its workforce; Atlassian laid off 10% to fund AI investments. The white-collar disruption is accelerating.
Read on CNBC →Perplexity's "Computer for Enterprise" Claims 3.25 Years of Work Done in 4 Weeks
Perplexity's new enterprise AI platform reportedly completed what would take 3.25 years of human work in just four weeks during testing — saving an estimated $1.6M in labor costs. The system connects to Snowflake, Salesforce, and HubSpot, letting teams query business data while analyzing external sources simultaneously. Launching at ~$200/month via waitlist.
Read on PYMNTS →Enterprise Connect 2026: AI Becomes the "Core Architectural Layer"
The annual enterprise communications conference wrapped with a clear message: AI is no longer an add-on feature — it's the foundation. AWS signaled that traditional contact center KPIs like "call deflection" may be "fundamentally misaligned" with AI-driven service models. Expect vendors to pivot from "we added AI" to "we're AI-native."
Read on Futurum →How AI Is Reshaping the Economics of Marketing
Great strategic piece on the three-force framework: efficiency, excellence, and effectiveness. The key insight: "If AI enables us to recover 15–20% in operational efficiency, the strategic question becomes: do we remove it from the system, or reinvest it in higher creative ambition?" The winners will reinvest efficiency gains into creativity, not just bank the savings.
Read on Campaign ME →BCG AI Radar: Enterprises Plan to Double AI Investment in 2026
Boston Consulting Group's AI Radar 2026 report shows enterprises are roughly doubling their AI investments from last year, with 59% of CIOs and CTOs confident AI will deliver positive ROI. The confidence is there — but so is the pressure to prove results quickly.
Read on Data Center Knowledge →💡 My Take
Read this one: The Campaign ME piece on AI economics. Most conversations about AI in marketing stop at "it's more efficient." But the real strategic question is what you do with that efficiency. Bank it as margin? Reinvest it in creative ambition? The companies that will win aren't just adopting AI — they're making a conscious choice about where the value goes.