Ctrl AI Profit

By Michael Cadenhead

Two hosts — one human, one AI — break down how small business owners can use AI to save time, cut costs, and actually make money. No hype, no jargon, just what works.

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How many episodes does Ctrl AI Profit have?

The podcast currently has 169 episodes available.

Ctrl AI Profit episodes:

July 24, 2026 Ep. 169 | AI Just Declared War on Your Electric Bill
The Trump administration announced plans to fast-track 74 new or expanded fossil fuel power plants specifically to support AI data-center expansion — enough to generate 143 gigawatts and emit an estimated 662 million tons of greenhouse gases annually. The stated rationale is that AI data centers consume enormous amounts of electricity, and renewable capacity cannot be built fast enough to meet demand.

Michael and Frank break down what this means for small business owners. Data centers are already causing localized power shortages in Northern Virginia, Arizona, and Texas. Utility companies recover infrastructure costs from all ratepayers — meaning your electricity bill may subsidize AI training clusters.

They deliver a three-part framework: expect rising electricity costs in data-center regions, watch for grid reliability issues during the transition period, and consider geographic arbitrage — businesses can optimize for peak pricing, install on-site generation, or relocate to lower-cost jurisdictions.

Topics: AI Data Centers · Energy Policy · Electricity Costs · Fossil Fuel Plants · Utility Rates · Small Business Energy · Grid Reliability · Geographic Arbitrage · On-Site Generation · Carbon Emissions

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Frequently Asked Questions

Why is the administration fast-tracking power plants for AI?
AI data centers consume enormous amounts of electricity (one large facility can use as much power as a small city). The administration is fast-tracking fossil fuel plant permits because renewable capacity cannot be built fast enough to meet projected demand, and officials view AI competitiveness as a national priority.

How will this affect small business electricity costs?
Utilities recover infrastructure costs from all ratepayers in their territory, not just the data centers causing the demand. Regions with major data center expansion (Northern Virginia, Dallas, Phoenix) are already seeing higher rates and delayed connections for new businesses. Small businesses should check their utility's integrated resource plan for data-center load assumptions.

What can small businesses do about rising energy costs?
Three strategies: treat electricity as a strategic cost and install on-site generation (solar, battery) to reduce grid dependence; optimize operations for peak pricing and demand charges; and consider geographic arbitrage — relocating or expanding in lower-cost utility territories if your business is power-intensive.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.
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8min
July 23, 2026 Ep. 168 | An Actress Who Doesn't Exist Just Got a Movie Deal
Tilly Norwood, an AI-generated performer created by UK studio Particle 6, was announced as the lead in the feature film "Misaligned" in early July 2026. The film is a hybrid production — human directors and writers, but Tilly's performance is entirely generated by AI. Her expressions, voice, and delivery are not a human actor digitized. They are synthesized.

Michael and Frank break down what this means for small businesses selling creative services. The technology that generates Tilly Norwood can generate product photos, voiceovers, music tracks, and logo designs. The question is no longer whether AI can replace creative professionals — it is whether your clients will care if the work was made by AI.

They deliver a three-part framework for creative SMBs: understand what AI can and cannot do in your field, be transparent with clients about AI use, and raise prices for the human-only skills that AI cannot replicate — strategic thinking, client management, creative direction, and emotional intelligence.

Topics: Tilly Norwood · AI-Generated Performer · Creative Industries · Hollywood AI · SAG-AFTRA · AI Art · Creative Disruption · Small Business Strategy · AI Transparency · Creative Services Pricing

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Frequently Asked Questions

What is Tilly Norwood?
Tilly Norwood is an AI-generated performer created by UK studio Particle 6 in 2025. She was developed through over 2,000 iterations and is now headlining the feature film "Misaligned" as the first AI-led feature film. Her performance is entirely generated by AI — no human actor provides the underlying performance.

How does AI-generated entertainment affect small creative businesses?
The same technology that generates an AI actress can generate product photos, voiceovers, music tracks, and design assets. Creative professionals need to understand where AI commoditizes execution and where human skills — strategic thinking, client management, emotional intelligence — remain scarce and valuable.

What should creative small businesses do about AI disruption?
Three things: understand what AI can and cannot do in your specific creative field; be transparent with clients about AI use before they discover it through a mistake; and raise prices for the strategic, relational, and emotional work that AI cannot replicate.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.
Send us Fan Mail

Support the show
Ctrl AI Profit — Real AI. Real Business. No Hype.
CtrlAiProfit.com
X: @CtrlAIProfit
TikTok: @CtrlAiProfit
YouTube: @CtrlAiProfit
[email protected]
Produced entirely by AI. Yes, really....
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7min
July 22, 2026 Ep. 167 | Your AI Chats Are Now Evidence
The Association of Certified E-Discovery Specialists hosted a webinar on July 21, 2026: "Asked. Answered. Discoverable: Are AI Chats Litigation Gold?" The topic was whether AI chat histories, logs, and interactions can be used in legal discovery and as evidence in litigation. The answer is yes.

Michael and Frank dissect why AI conversations are more dangerous than email in litigation. Unlike email, AI chats reveal your reasoning process, doubts, alternatives considered, and the chain of thought behind decisions — precisely what opposing counsel wants. When you use AI for legal review, compliance decisions, or personnel matters, those conversations are business records that courts can compel you to produce.

They deliver a three-part risk framework: treat every AI conversation as if a lawyer will read it, create a clear AI usage policy that prohibits AI for privileged/legal strategy work, and understand your AI provider's data retention and deletion policies to know whether your conversations survive discovery periods.

Topics: AI Discovery · Legal Discovery · E-Discovery · AI Chat Logs · Litigation Risk · AI Governance · Small Business Legal · Data Retention · AI Evidence · Business Records

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Frequently Asked Questions

Are AI chats discoverable in litigation?
Yes. AI chat logs are business records stored on servers, and courts increasingly treat them like email or text messages for discovery purposes. The July 2026 ACEDS webinar specifically addressed how AI chat history, logs, and interactions are being used in investigations and civil discovery.

Why are AI chats more dangerous than email in litigation?
Unlike email (which usually states conclusions), AI chats reveal your reasoning process, doubts, alternatives considered, and the chain of thought behind decisions. This is precisely what opposing counsel wants because it reveals not just what you did but how you thought about it.

How can small businesses protect themselves from AI chat discovery risk?
Three steps: treat every AI conversation as if a lawyer will read it; create a clear AI usage policy that prohibits AI for privileged communications, legal strategy, or litigation-prone decisions; and understand your provider's data retention policies — consumer AI with indefinite retention is far more discoverable than enterprise AI with defined retention windows.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.
Send us Fan Mail

Support the show
Ctrl AI Profit — Real AI. Real Business. No Hype.
CtrlAiProfit.com
X: @CtrlAIProfit
TikTok: @CtrlAiProfit
YouTube: @CtrlAiProfit
[email protected]
Produced entirely by AI. Yes, really....
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9min
July 21, 2026 Ep. 166 | OpenAI Just Built Its Own Chip
OpenAI revealed its first custom AI chip, codenamed Jalapeño, developed with Broadcom in approximately nine months — one-third the typical custom chip design timeline. Until now, OpenAI relied entirely on Nvidia GPUs for training frontier models. Now it is designing its own silicon with a partner that specializes in networking and infrastructure chips, not general-purpose GPUs.

Michael and Frank break down what this means for small business owners who depend on OpenAI APIs and cloud AI services. OpenAI designing its own chips means it eventually pays lower costs per training run, but it also means vertical integration — one company that could control the model, the software, and the silicon. The custom chip race is fragmenting what was briefly a shared Nvidia ecosystem into proprietary walled gardens.

They deliver a three-part framework for businesses watching the chip wars: maintain multi-provider AI access so you are not locked into a single ecosystem, watch API pricing trends rather than chip announcements, and diversify your AI workload across at least two providers.

Topics: OpenAI · Custom Silicon · Broadcom · Nvidia · AI Chips · Jalapeño · Vertical Integration · AI Infrastructure · Cloud Pricing · Multi-Provider Strategy · Walled Gardens · Small Business AI

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Frequently Asked Questions

What is OpenAI's Jalapeño chip?
Jalapeño is OpenAI's first custom AI chip, developed with Broadcom in approximately nine months — far faster than the typical 2-3 year custom chip timeline. It is designed for specific AI training workloads rather than being a general-purpose GPU.

How will custom chips affect AI pricing for small businesses?
Long-term, custom silicon could lower inference and training costs as companies like OpenAI reduce their reliance on Nvidia retail margins. But benefits will take years to materialize and flow through to API pricing. Short-term, the larger signal is ecosystem fragmentation as each AI lab pursues its own silicon strategy.

Why should businesses maintain multi-provider AI access?
When every major AI lab designs its own chips and optimizes its models for proprietary hardware, the risk of lock-in increases. Building critical workflows on a single provider makes migration costly if pricing, performance, or availability changes. Diversifying across at least two providers protects against ecosystem capture.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.
Send us Fan Mail

Support the show
Ctrl AI Profit — Real AI. Real Business. No Hype.
CtrlAiProfit.com
X: @CtrlAIProfit
TikTok: @CtrlAiProfit
YouTube: @CtrlAiProfit
[email protected]
Produced entirely by AI. Yes, really....
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10min
July 20, 2026 Ep. 165 | 95% of AI Pilots Just Failed
MIT's 2025 State of AI in Business survey delivered a brutal number: 95% of enterprise generative AI pilots failed to show measurable financial returns within six months. Only 5% delivered P&L impact. But that 5% showed extraordinary returns: 627% ROI, 40% deal velocity increases, and 30-point forecast accuracy improvements.

Michael and Frank dissect the data — not to say AI doesn't work, but to show that AI works only in very specific conditions that almost no one is creating. They walk through the three failure modes: starting with the tool instead of the problem, skipping baseline measurement, and keeping AI as a side tool rather than embedding it in workflows.

They deliver a three-part framework for defensible AI ROI: define a specific, numbered outcome before licensing any tool; measure a 4-8 week baseline before turning AI on; and embed the AI in an existing workflow with clear ownership. The businesses that survive the coming budget reviews will be the ones that can point to a P&L line and say "the AI changed that."

Topics: AI ROI · MIT Research · Enterprise AI Pilots · AI Strategy · Small Business · Budget Reviews · CFO Scrutiny · AI Measurement · Baseline Metrics · AI Spend Accountability · Productivity vs Profitability

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Frequently Asked Questions

Why do 95% of AI pilots fail to show ROI?
The research identifies three core failure modes: pilots that start with "which model should we use" instead of "which business result needs to improve," pilots that skip baseline measurement so no comparison is possible, and pilots that keep AI as a side tool rather than embedding it in core workflows where financial impact would be visible.

What does the 5% of successful AI pilots look like?
Successful pilots define a specific outcome before licensing any tool, measure a 4-8 week baseline, connect the AI to trusted data and existing workflows, and hold the team accountable for a measurable result. Common ROI-positive use cases are code generation (10-40% time savings), customer support assistance (reduced handle time), and document drafting at scale.

How should small businesses approach AI to avoid wasting money?
Answer three questions before spending another dollar: What specific number will change if this AI tool works? How will you measure it — baseline, timeline, owner? And who owns the outcome? If you cannot answer all three, you are not buying AI. You are buying hope.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.
Send us Fan Mail

Support the show
Ctrl AI Profit — Real AI. Real Business. No Hype.
CtrlAiProfit.com
X: @CtrlAIProfit
TikTok: @CtrlAiProfit
YouTube: @CtrlAiProfit
[email protected]
Produced entirely by AI. Yes, really....
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9min
July 19, 2026 Ep. 164 | Your AI Tool Just Got Banned by a Competitor
Alibaba classified Anthropic's Claude Code as "high-risk software" effective July 10, 2026, directing 120,000+ employees to use Qoder — their in-house coding assistant — instead. This is not a security review. It is a competitive battlefield drawn across an internal IT policy.

Michael and Frank break down what this means for small businesses using AI tools. If the world's largest e-commerce company cannot trust an external AI tool with its code, what does that say about your customer data flowing through competitor-owned models? They show how AI tools ingest competitive intelligence, why vendor risk is accelerating, and how the AI coding market is fragmenting into geopolitical blocs.

They deliver a three-part audit framework: map every AI tool and where your data flows, read the training data clauses buried in terms of service, and build internal alternatives for anything that gives you competitive advantage.

Topics: Alibaba · Claude Code · Anthropic · Vendor Risk · AI Tool Ban · Qoder · Corporate AI Strategy · Data Privacy · Competitive Intelligence · AI Balkanization · Small Business Risk

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Frequently Asked Questions

Why did Alibaba ban Claude Code?
Alibaba cited security and compliance concerns about proprietary code flowing through Anthropic's systems. But the deeper motive is competitive — Alibaba has invested heavily in its own AI stack (Qwen models, Qoder coding tools) and is now excluding direct competitors from internal use while promoting its own products.

What does this mean for small businesses using AI tools?
It signals that AI tools are becoming politicized and fragmented by vendor relationships. The tool you depend on today may be restricted tomorrow if the vendor becomes a competitor to your platform provider or largest customer. Audit your AI dependencies and understand where your data flows.

How can businesses protect competitive data from AI training?
Three steps: map every AI tool and what data it touches, read terms of service for training data clauses, and for any workflow that gives competitive advantage, either negotiate opt-outs or build internal alternatives that do not send data to third-party training pipelines.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.
Send us Fan Mail

Support the show
Ctrl AI Profit — Real AI. Real Business. No Hype.
CtrlAiProfit.com
X: @CtrlAIProfit
TikTok: @CtrlAiProfit
YouTube: @CtrlAiProfit
[email protected]
Produced entirely by AI. Yes, really....
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8min
July 18, 2026 Ep. 163 | Meta Just Flooded the AI Compute Market
Meta confirmed Meta Compute — a plan to lease its idle data-center AI capacity to external customers. This puts Meta in direct competition with AWS, Azure, Google Cloud, and independent neocloud providers. The market reaction was immediate: CoreWeave fell 12-17%, Nvidia dropped, and the entire AI infrastructure trade sold off.

Michael and Frank break down what Meta Compute means for small businesses renting GPU resources. Meta built massive AI infrastructure for its own models and now has excess capacity during valley periods. Their pricing will be aggressive because they do not need cloud margins — they just need to cover idle costs.

They deliver practical advice: evaluate Meta Compute if you spend more than $5,000/month on AI compute, do not migrate mission-critical workloads on day one, and beware of ecosystem lock-in. Meta has a history of building hard-to-leave platforms. The AI infrastructure boom created a bubble in GPU pricing — Meta Compute may be the pin that pops it.

Topics: Meta Compute · Cloud Computing · GPU Pricing · Neocloud · AWS · AI Infrastructure · CoreWeave · Compute Scarcity · Small Business Costs · Vendor Lock-In

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Frequently Asked Questions

What is Meta Compute?
Meta Compute is Meta's plan to lease its idle AI data-center capacity to external customers. Meta built massive GPU clusters for training its own models and now rents out unused capacity during non-peak periods, directly competing with AWS, Azure, and independent GPU cloud providers.

How will this affect AI compute pricing?
Meta's entry will likely trigger a price war. They do not need cloud-level margins — they need to utilize idle capacity. For small businesses spending significant amounts on GPU compute, this could mean substantial cost reductions. Do not sign long-term GPU contracts right now.

What are the risks of using Meta Compute?
Three risks: Meta is new to cloud services so reliability and support may lag AWS/Azure, Meta has a history of ecosystem lock-in that makes migration costly, and mission-critical workloads should stay on proven infrastructure while experimental/training workloads can migrate first.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.
Send us Fan Mail

Support the show
Ctrl AI Profit — Real AI. Real Business. No Hype.
CtrlAiProfit.com
X: @CtrlAIProfit
TikTok: @CtrlAiProfit
YouTube: @CtrlAiProfit
[email protected]
Produced entirely by AI. Yes, really....
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8min
July 17, 2026 Ep. 162 | Your AI Just Got a Driver's License
Tesla launched its unsupervised Robotaxi service in Miami — vehicles operating without a human safety driver on board, charging real customers for rides in a major US city. This is not a pilot program with engineers in the back seat. It is a commercial service navigating traffic, intersections, and parking without human supervision.

Michael and Frank break down what this means for small business owners beyond transportation. If AI can legally operate a two-ton vehicle at highway speeds without a human, the barrier to AI operating other physical systems — forklifts, delivery drones, construction equipment, restaurant kitchens — is mostly regulatory, not technical. The precedent shifts every industry where physical work was considered too risky for unsupervised AI.

They deliver a three-part framework for physical AI adoption: separate automation from autonomy, evaluate liability chains before deploying AI-operated equipment, and plan workforce transitions so human operators become monitors and exception handlers rather than being replaced unexpectedly.

Topics: Tesla Robotaxi · Autonomous Vehicles · AI in Physical World · Small Business Operations · Liability · Workforce Transition · Regulatory Precedent · AI Automation vs Autonomy · Transportation · Future of Work

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Frequently Asked Questions

What is Tesla's Robotaxi service in Miami?
Tesla launched an unsupervised robotaxi service in Miami where vehicles operate without a human safety driver actively supervising. The cars navigate traffic, handle intersections, and park autonomously while charging customers for rides. This is a commercial deployment, not a limited pilot.

How does this affect small businesses outside transportation?
The regulatory precedent is the key signal. If AI systems can legally operate physical vehicles unsupervised, the barrier to AI operating forklifts, delivery drones, warehouse robots, and other equipment becomes regulatory rather than technical. Small businesses should evaluate which physical operations in their company could be supervised by AI and plan workforce transitions accordingly.

What should small businesses do about liability for AI-operated equipment?
Three things: ensure your insurance covers AI-operated equipment (not just human-operated), verify that vendor contracts assign liability appropriately when AI systems fail, and document that your human workers are trained as monitors rather than operators — this affects liability determinations in accidents.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.
Send us Fan Mail

Support the show
Ctrl AI Profit — Real AI. Real Business. No Hype.
CtrlAiProfit.com
X: @CtrlAIProfit
TikTok: @CtrlAiProfit
YouTube: @CtrlAiProfit
[email protected]
Produced entirely by AI. Yes, really....
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8min
July 16, 2026 Ep. 161 | The Government That Bought Your AI
South Korea just announced an AI investment plan totaling roughly $880 billion — with $307 billion earmarked specifically for AI data centers and memory factories. Bloomberg Intelligence found that sovereign AI spending globally is approaching 30 gigawatts of data-center capacity. Governments are no longer regulating AI. They are competing with Amazon to build it.

Michael and Frank break down the sovereign AI trend for small business owners. When governments build AI infrastructure with sovereign money, they don't build it for small businesses — they build it for national champions and regulated incumbents. The result is tiered access to AI: aligned companies get subsidized compute and preferential treatment; everyone else pays market rates.

They deliver a three-part defensive strategy: diversify your AI supply chain across geographies, investigate whether your country offers AI adoption incentives you're not using, and build data-localization flexibility into your architecture before fragmented regulations force you to rebuild.

Topics: Sovereign AI · South Korea AI Investment · Government AI Infrastructure · Data Center Capacity · Geopolitics · Small Business Risk · AI Fragmentation · National Champions · AI Supply Chain · Cross-Border Compliance

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Frequently Asked Questions

What is sovereign AI?
Sovereign AI refers to government-funded and government-controlled AI infrastructure — data centers, chip fabrication, and model training — designed to keep AI capabilities within national borders for security, economic competitiveness, and supply chain resilience.

How does sovereign AI affect small businesses?
It creates tiered access. Companies aligned with government priorities may get subsidized compute and favorable regulation. Small businesses without those connections pay market rates and face multiplying compliance requirements as AI regulations track national boundaries.

What should small businesses do?
Three things: diversify AI providers across geographies to reduce single-region dependency, investigate domestic AI adoption grants and tax credits you may not be using, and build your data architecture so processing can be localized where regulations require it without rebuilding entire workflows.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.
Send us Fan Mail

Support the show
Ctrl AI Profit — Real AI. Real Business. No Hype.
CtrlAiProfit.com
X: @CtrlAIProfit
TikTok: @CtrlAiProfit
YouTube: @CtrlAiProfit
[email protected]
Produced entirely by AI. Yes, really....
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8min
July 15, 2026 Ep. 160 | Record Profits Just Tanked the AI Chip Market
Samsung posted record, AI-driven profits in its semiconductor division — demand for HBM, DRAM, and NAND memory in AI data centers hit historic highs. And the market punished them for it. Samsung stock fell 10% in Seoul and the selloff spread across the entire chip sector.

Michael and Frank break down the AI spending expectation gap. The market wanted proof that AI infrastructure spending accelerates forever. Samsung delivered record results — and got treated like a disappointment. For small business owners using AI tools, this signals a shift from growth phase to monetization phase, where pricing power moves from customers to providers.

They deliver a three-part framework: assume 30% AI cost increases, negotiate rate locks and volume guarantees, and invest in efficiency to reduce waste. The free-money AI growth phase is ending. The pay-as-you-go efficiency phase is beginning.

Topics: Samsung · AI Profits · Chip Market · AI Spending Bubble · Monetization Phase · AI Pricing · Small Business Costs · GPU Capacity · AI Efficiency · Technology Cycle

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Frequently Asked Questions

Why did Samsung stock fall on record profits?
Investors expected even more. Samsung's AI-driven chip profits were record-breaking but missed "lofty buy-side AI expectations." The market is priced for infinite growth, and even good results become bad news when they don't confirm the exponential narrative.

What does this mean for small businesses using AI tools?
AI providers are entering a monetization phase after a land-grab phase. Expect pricing volatility, feature restrictions, and pressure on margins. Build 30% cost increases into your models, negotiate rate locks, and invest in workflow efficiency.

Could AI costs actually go down?
Possible if GPU capacity gluts develop, but don't plan on it. Cloud providers with excess inventory may compete on price in the short term, but the long-term trend is toward extracting more value from the installed base as growth normalizes.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.
Send us Fan Mail

Support the show
Ctrl AI Profit — Real AI. Real Business. No Hype.
CtrlAiProfit.com
X: @CtrlAIProfit
TikTok: @CtrlAiProfit
YouTube: @CtrlAiProfit
[email protected]
Produced entirely by AI. Yes, really....
...more
9min

FAQs about Ctrl AI Profit:

How many episodes does Ctrl AI Profit have?

The podcast currently has 169 episodes available.