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🎥 AI Trust?
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A Better Way to Deploy Voice AI at Scale
Most Voice AI deployments fail for the same reasons: unclear logic, limited testing tools, unpredictable latency, and no systematic way to improve after launch.
The BELL Framework solves this with a repeatable lifecycle — Build, Evaluate, Launch, Learn — built for enterprise-grade call environments.
See how leading teams are using BELL to deploy faster and operate with confidence.
AI Trust? 🎥
💰 AI DEALS TRACKER: "Follow The Money"
Accenture-Anthropic Enterprise AI Deployment
💰 The Deal: Three-year partnership (financial terms undisclosed). Forms "Accenture Anthropic Business Group"—training 30,000 Accenture employees on Claude, deploying Claude Code to tens of thousands of developers. Makes Anthropic one of Accenture's top 3 strategic partners.
🎯 Strategic Implication: Anthropic's enterprise market share jumped from 24% to 40%, now holds 54% of AI coding market. This partnership targets regulated industries (finance, healthcare, public sector) where compliance complexity is the real barrier. Accenture's selling packaged AI deployment as enterprise clients demand measurable ROI after pilot fatigue.
âš¡ Hot Take: Consulting firms are in an arms race to own enterprise AI implementation. The 30K training commitment signals where professional services revenue is headed: away from traditional consulting, toward AI-powered transformation. Studios need similar packaged AI adoption frameworks.
Warner Bros Discovery — Netflix vs. Paramount Bidding War
Status: ONGOING (December 5 → present)
💰 The Deal: Netflix offers $82.7B for WBD's studios/streaming (HBO, Warner Bros, HBO Max). Paramount counters with $108.4B hostile takeover for ENTIRE company. Larry Ellison personally guarantees $40.4B. Both offers include $5.8B breakup fees—among the largest ever.
🎯 Strategic Implication: This consolidation eliminates one major studio buyer regardless of winner. Netflix gets prestige content without the cable baggage. Paramount gets vertical integration.
âš¡ Hot Take: December 2025 is Hollywood's inflection point. This will come down to who can be trusted with Warner Bros during this era of AI?
🎯 THE FRAMEWORK: "Strategy You Can Use"
Who Owns AI Strategy—And Do They Have Budget Authority?
Why It Matters: If your AI strategy lives in IT or "innovation labs," you're building demos, not business value. Disney didn't put their $1B OpenAI deal in the CTO's hands—it went straight to Bob Iger and the business strategy team.
Your Action Item: Map your current AI org chart. If the person leading AI can't kill a project or redirect resources, you don't have strategy—you have a committee.
How I Can Help: The disconnect I see most often? Technical teams understand the tools but can't speak to creative stakeholders. Creative leaders know what they need but don't understand what's possible. Executives want strategic ROI but both groups are speaking different languages. No one has clear authority because no one has shared understanding.
I work as a creative AI consultant and educator, helping studios and agencies bridge that gap through hands-on workshops and strategic training sessions that get your technical teams, creative professionals, and executives aligned on what AI can actually do—and who should be making decisions about it.
My workshops ($12K-$45K depending on scope and format) help you:
Educate cross-functional teams on generative AI video tools and their practical applications in your workflows
Build shared vocabulary so creative leaders and technical teams can communicate effectively about AI capabilities and limitations
Identify decision-makers by clarifying which AI initiatives need creative authority vs. technical authority vs. business authority
Create coalition-compliant frameworks that maintain trust with talent while enabling strategic partnerships
The outcome?
Your teams stop talking past each other. Creative professionals understand what's possible. Technical teams understand creative constraints. Executives can make informed decisions.
Right now, with $191B in deals reshaping Hollywood, you need teams that can evaluate AI opportunities intelligently and move fast.
The Roles Studios Are Actually Hiring (And What They Pay)
1. AI Product Manager — Netflix
Salary Range: Up to $900,000/year
What They Want: Product managers who can develop AI-powered features for content recommendation, gaming applications, and user personalization. Netflix has been advertising 18+ AI/ML positions.
Link: Netflix AI Jobs on LinkedIn
Why It Matters: This is the headline-grabber salary that made waves during the 2023 strikes. Netflix is betting big on AI to maintain its competitive edge in streaming, and they're willing to pay almost $1M for the right person to build it.
2. Generative AI Specialists — Disney
Salary Range: $200,000+ (estimated based on tech role averages)
What They Want: Multiple positions across Disney divisions focusing on generative AI implementation, from content creation tools to guest experience personalization. Disney has 367+ tech-related openings listed.
Link: Disney AI Jobs on LinkedIn
Why It Matters: Disney's $1B OpenAI investment isn't just about partnerships—it's about building internal capability. They're hiring across the board: engineers, strategists, implementation specialists. This is infrastructure hiring, not experimentation.
💬 ASK THE CONSULTANT: "Your Questions, Answered"
Q: "Our creative teams are already nervous about AI. How do we explore partnerships without causing a full revolt?"
A: This is the question every studio should be asking—but most aren't. Here's the truth: you can't hide AI exploration anymore. The news is public. Disney's deal is public. Your team already knows AI is coming. The question is whether they hear about your AI strategy from you, or from headlines that make them panic.
The studios getting this right are doing three things:
1. Lead with protection, not replacement. When you talk about AI partnerships, lead with how you're protecting IP and creating new revenue streams—not how you're "exploring efficiencies." Efficiency means job cuts. Revenue means opportunity. Frame it right.
2. Separate exploration from implementation. Make it clear: "We're evaluating AI partnerships to understand the landscape and protect our IP" is very different from "we're replacing your job with AI." Your creative teams need to know you're doing due diligence, not making decisions behind their backs.
3. Create a coalition-compliant framework BEFORE announcing anything. This means: talent rights protected, union agreements respected, human creativity celebrated. Disney's OpenAI deal specifically excludes actor likenesses and voices. That's not an accident—that's governance that enables partnerships without alienating talent.
What to do right now: Host a town hall. Say this: "You've seen the Disney news. Here's what we're doing, here's what we're NOT doing, and here's how we're protecting your work." Transparency beats secrecy every time.
If you need help facilitating that conversation without triggering panic or making promises you can't keep, that's exactly what my AI Strategy & Governance Workshops are designed to do—get your teams aligned before the headlines do it for you.
Got a strategic questions? Let’s talk strategy. Send me a DM
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