The 5 AI Governance Decisions Casino Operators Need to Make

The Second AI Conversation

We’ve already shown that AI is changing how guests discover and choose your property. That’s the customer-facing side of the story: AI search, editorial visibility, and the shift from links to answers. If your property isn’t included in recommendations, you’re invisible to the guests making decisions tonight.

But there’s a second AI conversation that needs to happen, and it’s not about your customers. It’s about your team.

Your marketing department is using AI right now. Not in some future state you’re planning for. Right now. And in most regional casino operations, nobody authorized it, nobody trained on it, and nobody set boundaries for what it should and shouldn’t touch.

That’s the conversation that matters most before G2E.

Every Vendor at G2E Is Selling AI. Your Team Has Already Bought Some.

G2E’s show floor will be wall-to-wall AI. AI-powered player development. AI-driven analytics. AI-generated content. AI-optimized campaigns. Every vendor pitch will assume you’re starting from zero and that you need their solution to get in the game.

You’re not starting from zero. Your team has been in the game for months, possibly years, and they just used their own credit cards to get there.

Social Media Examiner’s 2026 AI Marketing Industry Report surveyed 681 marketers across industries and found that AI adoption isn’t an emerging trend. It’s the baseline.

73% of marketers now use AI daily. That’s nearly double the 37% who reported the same in 2024. When you include those who use it weekly, the total reaches 90%. Only 7% say they rarely or never use it.

The adoption numbers aren’t the problem. The issue is how these tools are funded.

53% of marketers are spending their own money on AI tools. Only 32% are fully company-funded. And 85% taught themselves to use it by experimenting. No curriculum. No guidelines. No guardrails.

That means more than half the marketing workforce is paying out of pocket for tools their companies neither purchased nor vetted, and in many cases don’t even know about.

The Social Media Examiner survey isn’t casino-specific. It skews toward small businesses, senior marketers, and U.S.-based companies. But that actually strengthens the point. These aren’t early adopters on the bleeding edge. They’re experienced marketers (65% have two or more years of AI experience) at organizations that resemble regional casino marketing departments: small teams, limited budgets, under-resourced but determined. If they’re already this deep into AI adoption, your team almost certainly is too.

Shadow AI in a Regulated Industry Isn’t a Productivity Issue

In retail or SaaS, a coordinator using ChatGPT on a personal account to draft social captions is a minor governance issue. In gaming, the same behavior carries different weight.

Casino marketing teams work with player data every day. Mailing lists. Segmentation criteria. Offer thresholds. Reinvestment tiers. Player development notes. Promotion terms and conditions. When a marketing coordinator pastes a segment description into a personal AI account to help write targeted email copy, that’s player-adjacent data entering an uncontrolled environment.

The industry is practically inviting it. 76% of companies in the Social Media Examiner survey encourage AI use. But encouragement without training is abdication. When only 7% of companies provide AI training while 76% tell their teams to go ahead and use it, you don’t have a policy. You have plausible deniability.

In a regulated industry where gaming commissions set data-handling standards and compliance teams review promotional materials, the stakes are high. A promotion built with AI that contains a hallucinated earnings rule, an inaccurate point threshold, or a term that contradicts the filed version isn’t a typo. It’s a compliance incident. And “the AI wrote it” won’t satisfy a regulator.

The concern is real and growing. 77% of marketers in the survey are concerned about AI-related data privacy and security, up from 67% in 2024. And 78% are concerned about accuracy and reliability. Those numbers didn’t rise because people became more cautious. They rose because people began using AI in higher-stakes situations and saw what can go wrong.

The risk isn’t that your team is using AI. The risk is that they’re using it without boundaries in an environment where those boundaries exist for a reason.

Measuring AI ROI in Casino Marketing: The Problem Your GM Will Ask About

Here’s a number that will sound familiar to any VP of Marketing who has sought budget approval for something new: 86% of marketers say AI saves them time and boosts productivity.

Now here’s the number that makes the conversation harder: only 30% can document measurable results. Another 39% report seeing results but can’t quantify them.

Conviction outpaces measurement. That’s the state of AI in marketing right now.

This matters for two reasons if you’re the VP of Marketing making a case for AI investment.

First, you’re already spending on AI (even if it’s through your team’s personal subscriptions) without any way to demonstrate the return. When the GM asks what the department is getting from it, “we think it’s saving time” is not the answer that gets the next budget line approved, especially not after years of industry conversation about accountability in marketing spend.

Second, when a vendor at G2E pitches you an AI-powered platform with a projected ROI, ask how they’re measuring it. The industry hasn’t solved this yet. Among 681 marketers across industries, 65% have two or more years of AI experience, yet the vast majority still can’t connect AI use to measurable outcomes. If they can’t, the vendor selling you a dashboard at the convention isn’t ahead of the curve. They’re selling ahead of the evidence.

That doesn’t mean AI isn’t delivering value. It probably is. But the measurement infrastructure hasn’t kept pace with adoption, and anyone who tells you otherwise is either selling something or not tracking closely enough.

For General Managers, the question isn’t whether to invest in AI. Your team already did that for you, using their own money. The question is whether you’ll know what you’re getting for it before the next budget cycle or after it.

AI Video in Casino Marketing: The Biggest Content Opportunity Nobody’s Using Yet

One data point from the Social Media Examiner report warrants its own conversation.

95% of marketers are using AI to create written content. That’s functionally universal. Images come in at 67%. But only 37% are using AI for video, and 74% want to learn how.

The report’s biggest content opportunity is the 37-point gap between demand and adoption.

For a regional casino with a lean marketing team, this deserves your attention. Casinos are visual-first businesses. Winners. Entertainment. Dining. Promotions. The floor. The energy. Every one of those stories is better told on camera than in a caption.

But lean teams don’t have video producers or editors. They barely have time to send the email campaign and print the signage. So video stays on the wish list.

AI is closing that gap faster than most operators realize. Tools for script generation, caption creation, basic editing, and short-form production are improving each quarter. A marketing coordinator who can write a solid promotional email can learn to produce a 60-second video with AI assistance in less time than it takes to finalize a direct mail piece.

The property that figures out how to use AI-assisted video with a lean team won’t just produce more content. It will produce the kind of content that drives engagement on the platforms where guests spend time between visits.

AI Agents Are Coming. Do You Have Governance in Place for the Tools You Already Have?

Social Media Examiner found that 11% of marketers already use autonomous AI agents regularly, 24% are experimenting, and another 44% plan to adopt them. That’s 79% of the marketing world either using or planning to use AI that can take action on its own.

AI agents will be a major theme at G2E. Vendors will pitch agents that automate campaign scheduling, personalize offers in real time, generate segmented email copy, and manage social calendars without human intervention.

Some of those tools will be genuinely useful, while others will be a solution looking for a problem. The question for any operator evaluating them is the same one you should ask about the tools your team already has: Who decides what the AI can and can’t do? Who reviews the output? What happens when it gets something wrong?

If you don’t have answers for the AI tools your team uses today, adding autonomous agents to the stack is accelerating without steering.

Your Team Is Worried. That’s Worth Addressing Out Loud.

One more finding from the report, because it affects something that doesn’t appear on a P&L but shapes everything that does.

46% of marketers believe AI will eliminate more jobs than it creates, while only 23% expect net job growth.

Your marketing team has seen the same headlines as everyone else. They’re watching their industry shift and wondering whether they’ll be part of what comes next or be replaced by it. That anxiety doesn’t stay theoretical. It shows up as resistance to new tools, reluctance to share how they’re already using AI (which reinforces the shadow AI problem), and a drag on their willingness to experiment openly.

This is a leadership conversation, not a technology one. The team doesn’t need a speech telling them AI won’t replace them. They need evidence. When you invest in their skills instead of shopping for their replacement, when you budget for a shared AI subscription instead of making them pay out of pocket, and when you designate an AI point person and give them real time to learn, you communicate something no vendor pitch ever will: we’re building this together.

Ignoring the anxiety doesn’t make it go away. It only makes the team less likely to share what they’re doing with AI, which circles back to the governance problem. If you’re looking for a structured way to approach team development across your marketing department, the guide to training your casino marketing team is a good starting point.

F5 AI Governance Decisions for Casino Operators Before G2E

The temptation with AI is to jump to tools. Which platform? Which features? Which vendor? But for a regional casino operator, the strategic decisions come first. Get these right, and the tool conversation gets simpler. Skip them, and every tool you add inherits the same governance gap you already have.

1. Know what your team is already using.

This is not a gotcha exercise. It’s an inventory. Ask without judgment: what AI tools are you using, how often, and for which tasks? You will likely be surprised by the answers. The goal is to understand the current state before setting expectations for the future.

2. Set a policy. It doesn’t need to be lengthy.

A one-page AI use policy that outlines which types of content AI can help draft, which require human review before publishing, and which data categories never enter an AI tool. The goal isn’t to restrict use. It’s to make use intentional and visible.

3. Draw a clear line around player data.

This is non-negotiable. Player data, PII, segmentation criteria, offer structures, and anything that touches a gaming commission filing must stay out of personal AI accounts. Period. If your team needs AI help with data-adjacent work, that’s a case for a company-managed tool with appropriate security, not a workaround on someone’s phone.

4. Pick a measurement starting point.

You won’t have a complete AI ROI model by next quarter. That’s fine. Nobody does. Start with what you can track: time saved on recurring tasks, content output volume, campaign turnaround time, and whether AI-assisted content performs differently than non-assisted content. Build the habit of measuring before you need the data for a budget presentation.

5. Designate an owner.

Not a committee. A person. Someone who stays current on AI developments in marketing, evaluates new tools against your policy, and serves as the team’s internal resource. In a lean department, this is likely a coordinator who’s already experimenting on their own. Give them permission, time, and a direct line to leadership. Turn the shadow into a spotlight.

We’ve built a companion workbook that guides your leadership team through each of these five decisions, plus a data governance audit, a regulatory environment check, a vendor evaluation scorecard, and a one-page readiness snapshot you can bring to your next executive meeting. Download the Casino Marketing AI Readiness Workbook from the Casino Marketing Toolkit Collection.

What G2E Won’t Tell You

G2E will sell you the future of AI in gaming. New platforms. New integrations. New capabilities. Some of it will be transformative, and some will be premature.

What G2E won’t tell you is what’s already happening inside your marketing department. The tools your team already uses. The training they never received. The data that may already be in environments you don’t control. The measurement gap that will make it hard to justify the next investment. Team anxiety that shapes adoption speed, whether you address it or not.

We’ve already made the case that AI is changing how guests find your property. The external conversation matters, but the internal one is more urgent. The risks of unmanaged AI use compound every week you don’t address them, and the opportunity to build a smarter, better-equipped marketing team is right in front of you.

Before you walk the show floor, take stock of what’s inside your walls. The AI conversation that matters most right now isn’t about what to buy. It’s about what to govern, measure, and build.

If your team is already using AI and you’re unsure where to start with governance, measurement, or training, J Carcamo & Associates helps regional and tribal casino operators build marketing strategy, team capability, and the operational foundation that enables new technology to work. Start the conversation before G2E, not after.

Julia Carcamo is a casino brand strategist, author of Reel Marketing: The Art of Building a Casino Brand, and founder of J. Carcamo & Associates. She works with regional and tribal casino operators on brand positioning, marketing strategy, and guest experience. Catch her on the Drivetime Marketing podcast or connect with her on LinkedIn.

FAQs – Frequently Asked Questions

What is shadow AI in casino marketing?

Shadow AI refers to AI tools that employees use on personal accounts without company authorization, training, or oversight. In casino marketing departments, this often means team members using tools like ChatGPT or Claude on personal subscriptions to draft email copy, create social content, or analyze campaign data. According to the Social Media Examiner’s 2026 report, 53% of marketers spend their own money on AI tools and 85% are entirely self-taught. In a regulated industry where marketing teams routinely handle player data and promotion terms, ungoverned AI use creates compliance and data privacy risks.

How should a casino create an AI use policy for its marketing team?

Start with a one-page document that covers three areas: what types of content AI can help draft, what requires human review before publishing, and what data categories must never enter an AI tool. Player PII, segmentation criteria, offer structures, and anything filed with a gaming commission should be explicitly excluded from personal AI accounts. The goal is to make AI use intentional and visible rather than to eliminate it.

What are the compliance risks of AI in casino marketing?

The primary risks involve player data entering uncontrolled environments and AI-generated promotional content containing inaccurate information. When a marketing coordinator pastes segment descriptions or offer details into a personal AI account, that data enters a platform the organization does not control. Additionally, AI tools can generate hallucinated earning rules, inaccurate point thresholds, or promotion terms that contradict filed versions. In a regulated industry where gaming commissions set data-handling standards, these errors become compliance incidents, not typographical mistakes.

How can casinos measure AI ROI in marketing?

Complete AI ROI models are uncommon across all industries, not just gaming. Start with four metrics: time saved on recurring tasks like email drafting and campaign reporting, content output volume before and after AI adoption, campaign turnaround time from concept to deployment, and whether AI-assisted content performs differently from non-assisted content. Build the measurement habit before budget season rather than trying to prove ROI retroactively.

What should casino operators ask AI vendors at G2E?

Use a scorecard approach covering data ownership, model training practices, on-premise deployment options, regulatory compliance, recommendation explainability, algorithm update transparency, responsible gaming alignment, measurable results expectations, and data portability if the relationship ends. Any question that scores poorly is a conversation-stopper until resolved. The Casino Marketing AI Readiness Workbook in the Toolkit Collection includes a complete vendor evaluation scorecard.

How can regional casinos use AI for video marketing?

AI is closing the gap between the demand for video content and the capacity of lean casino marketing teams to produce it. Tools for script generation, caption creation, basic editing, and short-form production are improving rapidly. A marketing coordinator who can write a promotional email can learn to produce a 60-second video with AI assistance relatively quickly. Casinos are visual-first businesses, and the property that figures out AI-assisted video production with a small team will produce content that drives engagement on the platforms where guests spend time between visits.