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$1.1 Billion in Art Sold in Less Than Three Hours
A single evening only brought in $1 billion at auction one other time, Paul Allen’s estate in 2022.
Christie’s May 18 evening sale was headlined by:
Pollock: $181.2M, nearly 3x his previous record
Brancusi: $107.6M, second highest sculpture price ever
Rothko: $98.4M, a new record for the artist
Obvious outliers, but the evening capped a spring auction season that totaled $2.5 billion (roughly 2x last year). This follows a Q1’26 that saw the postwar contemporary art market grow 23.1%.
Masterworks offers investors the opportunity to invest in blue-chip contemporary and post-war art. Since 2017, it has offered over 500 artworks and raised over $1 billion in total investments.
29 exits to-date have delivered net annualized returns like 16.5%, 17.6% and 17.8% on sold works held over 12 months.
Join 70,000+ members in adding art to their portfolios.
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*According to Masterworks data. Past performance is not indicative of future performance. Investing involves risk. See important disclosures at masterworks.com/cd
The New AI Sales Stack Top Teams Are Quietly Adopting
The technology shift changing pipeline generation right now
Most sales teams are using AI like a shortcut. Elite teams are using it like infrastructure. That’s the difference.
Average organizations are asking AI to write cold emails or summarize meetings. Helpful? Sure. But top-performing sales teams are building entire pipeline generation systems around AI-assisted workflows that reduce admin work, increase speed-to-lead, and improve qualification quality dramatically. And it’s happening quietly.
The biggest shift right now is not “AI replacing reps.” It’s AI removing low-value manual tasks so reps can spend more time in high-conversion conversations.
Here’s what elite teams are actually implementing:
AI call analysis tools are reviewing sales calls automatically and identifying objection patterns, talk ratios, missed buying signals, and coaching opportunities. Managers no longer rely only on random call reviews they coach from real conversation data at scale.
AI prospecting platforms are building personalized outbound sequences faster by pulling company insights, role changes, hiring activity, and intent signals automatically. This shortens research time while improving relevance.
AI CRM automation is also eliminating a massive operational problem: inconsistent data entry. Notes, follow-ups, and next-step summaries are now captured automatically after meetings, keeping pipeline visibility far more accurate.
REPLY “FLOW” FOR CURATED LINKS TO THESE STACKS!
But here’s the critical part most companies miss:
The best teams are not adding random AI tools everywhere. They are simplifying around one connected workflow. Less manual work. Faster response times. Cleaner pipeline data. More coaching visibility. That’s the real advantage. Because AI does not fix broken sales systems.
It amplifies whatever system already exists. And the teams building structured AI workflows right now are creating a speed advantage that will compound aggressively over the next 12 months.
ACTION STEPS: Build a Smarter AI Sales Stack
Audit Repetitive Sales Tasks
Identify where reps lose time on manual admin work.Implement AI Call Review Software
Use conversation intelligence to coach at scale.Automate CRM Updates and Follow-Ups
Improve pipeline accuracy automatically.Use AI for Research, Not Relationships
Let reps spend more time selling live.Consolidate Around One Workflow
Avoid tool overload and operational complexity.
The future of sales isn’t less human.
It’s fewer humans wasting time on low-value work.
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I can’t believe they are practically giving this information away for free. Unbelievably worth every penny!
