Australia's $335B sovereign wealth fund is reviewing 10 investment and ops roles after deploying new data systems. Expected savings: $10-15M in FY26/27, or 5-7% of costs. CEO Raphael Arndt says tech investment since COVID is now 'baked in.' This mirrors Bendigo Bank's recent AI-driven cuts and signals broader government sector automation.
Jason Lemkin's SaaStr replaced a 20-person GTM team with AI agents managed by 3 humans, driving revenue from -19% to +47% YoY. Most implementations fail because teams treat AI like set-and-forget software, not sales reps that need daily coaching. Here is what actually breaks.
HubSpot is moving Breeze AI agents to outcome-based pricing from April 14: $0.50 per resolved conversation, $1 per qualified lead. The play follows Sierra's $150M ARR outcome model and Intercom's $100M+ Fin growth. For sales teams, this means paying only when AI actually ships leads or closes tickets, not for attempts.
Jason Lemkin's SaaStr scaled from 20+ employees to 3 humans and 20 AI agents while maintaining revenue. First AI SDR sent 15,000 outbound messages in 100 days at 5 to 7% response rates. One agent closed a $70k sponsorship deal on its own. The math: $500k AI investment returned $1.5m in two months.
Redpoint surveyed 141 CIOs in March 2026. One in four has seriously considered replacing their customer service vendor in the last year. Sales automation sits at 19%, with some enterprises choosing to build their own CRM instead. The money is coming from existing software budgets, not new line items.
Three revenue leaders from Salesforce, Momentum, and Mangomint shared what is actually working with AI in sales. The takeaway: your CRM data is worse than you think, nobody is following up with 40% of leads, and raising quota now would be a mistake.
Jason Lemkin's SaaStr scaled from zero to 25+ AI agents in production, cutting headcount from 20+ to 3 humans while closing $2.4M and building $4.8M pipeline. The reason is not just cost: agents are operationally easier than hiring, onboarding, and managing human teams.
Jason Lemkin's team deployed 20+ AI agents, sent 60,000+ emails, and now sources half their revenue through AI SDRs. The tool matters less than you think: training and ownership drive 80% of results. Here is what actually worked.
The trust objection to AI account executives assumes buyers prefer human relationships. Reality: most B2B deals happen with strangers on Zoom who know 20% of the product. AI AEs answer every question accurately, no quota pressure, no overpromising. SaaStr data shows higher close rates when the AI is well-trained.
Jason Lemkin's B2B SaaS community replaced nearly its entire sales team with AI agents after the last salesperson quit. The new structure: 4 AI SDRs, Salesforce Agent Force, Qualified AI BDR, plus support and research agents. Lemkin now says the only hiring question that matters is what AI tool you deployed in the last 30 days.
Jason Lemkin's B2B media company hit 140% of Q1 2025 revenue with a skeleton GTM crew: 1.25 humans and 5 AI agents doing SDR, BDR, and RevOps work. The agents closed deals, including a $70k sponsorship with zero human involvement. But Lemkin is clear: the results were not all AI magic.
Jason Lemkin's team deployed AI SDRs across multiple platforms for 12 months, generating real pipeline from CRM contacts human reps wouldn't touch. The data: 11 to 40x volume increase, $1M closed in 90 days from inbound AI, and highest performance came from reactivating ghosted leads, not replacing top performers.