One-Line Summary

DeepMind teams up with A24 to build artist-shaped AI tools for filmmaking, while Alphabet faces talent churn and new data shows firms risk revenue and staff if AI stays stuck in pilots.

Big Tech

DeepMind partners with A24 on filmmaking AI; $75M stake reported

Google DeepMind, the unit behind leading AI research at Alphabet, enters a partnership with indie studio A24 to explore how AI can support filmmakers and creative professionals through new workflows and techniques. The collaboration focuses on building tools with direct input from creators so the tech fits real production needs. ¹

TechCrunch reports the partnership is framed by DeepMind as a “first-of-its-kind,” and cites the Wall Street Journal that Google is investing $75 million in A24; DeepMind’s Demis Hassabis says the goal is to build features by working directly with artists. These details suggest Google is seeking hands-on feedback loops with working filmmakers. ²

According to Reuters, the arrangement is not an intellectual property or data‑training deal, and filmmakers retain full creative control. The companies plan multiple R&D projects over time, with A24 gaining access to DeepMind’s research, infrastructure, and global reach. ¹

Context for the tie-up: PitchBook reports that content creation and prosumer AI startups raise $5.4 billion across 48 deals year-to-date, a 50% increase in deal value versus 2025’s $3.6 billion from 76 deals, with recent rounds including Odyssey ($310 million at a $1.45 billion valuation) and Suno ($400 million at a $5.4 billion valuation). That funding momentum underscores why tech and studios are aligning on production-grade AI. ³

Industry & Biz

Alphabet shares fall after second AI leader exits

Alphabet shares fall as much as 7.2% on June 22 after Google DeepMind Vice President John Jumper says he is leaving for Anthropic, following last week’s move by prominent researcher Noam Shazeer to OpenAI. These back-to-back departures raise questions about Google’s ability to retain top AI talent. ⁴

Bloomberg reports Google has struggled to sell AI coding tools to businesses, according to former employees, as market momentum favors Anthropic and OpenAI. Broader pressure also hits megacaps: a Bloomberg index of the “Magnificent Seven” drops as much as 2.2%, with Amazon down 4.9% and Meta and Microsoft both more than 2% lower. ⁴

Thomson Reuters: firms risk revenue and talent without AI execution

Thomson Reuters’ 2026 Future of Professionals report, based on a survey of 1,816 professionals, warns that up to $143 billion in U.S. client revenue is at risk as buyers expect AI-enabled quality from providers. While 74% of professionals use AI weekly, 91% say their organizations fall short of what AI can deliver. ⁵

One-third of lawyers, accountants, and compliance pros use unsanctioned AI; 24% consider leaving within two years if the gap persists; and 32% of clients plan to reassess providers within 12 months, with only 6% saying most providers deliver on AI. The report backs “Fiduciary-Grade AI” standards: authoritative content, rigorous privacy and security, explainable outputs, and real-time human support. ⁵

What This Means for You

Studios and tech are co-developing “artist-in-the-loop” tools, signaling that usable AI for storyboarding, pre‑viz, VFX, and editing will be shaped by creators’ constraints. The DeepMind–A24 setup explicitly avoids IP or data‑training terms and states filmmakers retain creative control—useful precedent if your team negotiates rights or data boundaries with AI vendors. ¹

For product and engineering leaders, Alphabet’s June 22 stock move alongside two high-profile exits underlines a tougher environment for attracting and keeping AI talent. Bloomberg’s note on struggles selling AI coding tools suggests buyers want fit-for-purpose outcomes over demos—a reminder to build tight feedback loops with actual users. ⁴

For legal, tax, finance, and compliance teams, Thomson Reuters’ data shows “shadow AI” is already in your org and clients are ready to switch providers for measurable AI quality gains. Providing sanctioned, professional-grade tools—and clear guardrails—can reduce unmanaged risk while retaining accounts and talent. ⁵

Hiring and careers are shifting: access to professional-grade AI influences job decisions, and teams that enable safe, explainable tools have an edge. If you’re job-seeking, highlight experience deploying AI with privacy and provenance controls; if you manage a team, budget for approved tools and training. ⁵

Action Items

1. Run a 60‑minute “shadow AI” audit: Ask your team to list every AI tool used weekly, tag by task sensitivity, and replace unsanctioned tools with approved options.
2. Draft an AI acceptable‑use one‑pager: Define data handling, content rights/provenance, disclosure for generated media, and the approval path; align it with legal/compliance in a short review.
3. Pilot an artist‑in‑the‑loop workflow: For an upcoming video or campaign, test an AI storyboard or rough cut with an approved tool and capture creator feedback and time saved.
4. Upgrade your vendor RFI: Add questions on training‑data provenance and opt‑outs, privacy and retention, explainability, allowed uses, human support, and auditability.
5. Tune hiring and onboarding: Add proficiency with sanctioned AI tools to job descriptions and schedule a 90‑minute onboarding on approved workflows and dos/don’ts.