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Humanizing AI Technology with CEO Christian Perry from Undetectable.ai May 22, 2025

Show notes

Christian Perry, CEO of Undetectable.ai, discussed the importance of humanizing AI content to avoid detection by AI detectors. He highlighted the rise of AI detectors post-ChatGPT and their impact on content distribution platforms like Facebook and YouTube. Christian recommended Lovable.ai for AI-powered website creation. Undetectable.ai helps remove AI markers from content to prevent it from being flagged as AI-generated. Christian also mentioned their new authorship replication tool to match human writing styles. The conversation emphasized the need for AI tools to evolve from humanizing to detecting non-human content, addressing issues like deep fakes and content authenticity.

🔑 Key Topics:

The Rise of AI Content Filters: Why platforms like YouTube, Google, and Instagram are cracking down on AI-generated content — and how it affects marketers.
Humanizing AI = The Competitive Edge: Christian explains why content that "feels" human gets better reach and engagement — and how Undetectable.AI helps you get there.
Introducing Authorship Replication: A new tool that mimics your personal writing voice — especially useful for professionals trying to maintain authenticity.
Why AI Tools Are Misunderstood in Academia and Workplaces: Christian and Mark debunk the stigma around using AI in writing, marketing, and education.
Lovable.dev – Build Sites with Prompts: No-code AI site builder Christian recommends for entrepreneurs and small teams.
The Future of AI Agents & Undetectable's Roadmap: From text detection to deepfake defense — Undetectable.AI is evolving into a digital trust guardian.
Deepfake Detection with TrueScan: Their next frontier — helping users and platforms detect scams using AI-generated video and likenesses.

Timestamps: 00:00 -
Podcast Introduction
00:40 - Christian Perry's Background
02:34 - Why Undetectable.ai Was Created
07:22 - Overcoming AI Content Stigma
10:00 - AI Agents and Marketing Automation
12:47 - Future of Deep Fake Detection

💡 Notable Quotes:

"Anyone banning AI tools today is doing their company or classroom a disservice. This isn't the future — it's the now." – Christian Perry "Undetectable.AI helps you write faster, better — and actually get your content seen by real people." – Mark Fidelman "If your content smells like a bot, social media buries it. We fix that." – Christian Perry

🔧 Tools Mentioned:

Undetectable.AI – Humanizes AI-generated content
Lovable.dev – AI-driven no-code app/site builder
TrueScan – Deepfake and synthetic content detector (in development)

Recommended Resources:

- Chrome Extension: Undetectable.ai Humanizer
- True Scan: Deep Fake Detection Platform

📌 Connect with Christian:

LinkedIn: Christian Perry – Undetectable.AI
Website: https://www.undetectable.ai

AI Marketing Podcast Weekly Roundup May 29 2025 May 07, 2025

Show notes

Episode Date: May 7, 2025 Host: Mark Fidelman Length: ~10 minutes

🔥 Episode Summary:

This week, Mark dives into the biggest and boldest updates in AI marketing – from OpenAI's attempt to unseat Google Shopping, to a hilarious campaign where real grandmas outshine machine learning.

Tune in to hear how:

ChatGPT just became your personal shopping assistant (and possibly Google's worst nightmare)
Meltwater's new AI teammate Mira is changing how marketers do their jobs
Google's AI answers are stealing your SEO clicks
A Mexican food brand launched "Abuela Intelligence" to roast AI hype with old-school wisdom

Buckle up – this is AI news with a sharp edge, told in classic Mark Fidelman style: funny, fast, and fearlessly bold.

🧠 Key Topics Covered: 🛍️ ChatGPT Goes Shopping

OpenAI rolls out product search + recommendations
No ads, no affiliate links — just pure AI shopping curation
What this means for brand marketers and SEO

"It's SEO meets QVC, but with AI running the show."

🤖 Meet Mira: Your AI Marketing Sidekick

Meltwater's AI-powered agent now automates research, monitoring, and analysis
Turns billions of data points into real-time brand intelligence

"Think of Mira as Jarvis, but for CMOs."

📉 Google's AI Kills the Click

New data shows AI snippets reduce clicks to top results by 34.5%
Pichai says it boosts engagement — but the numbers say otherwise
Marketers need new ways to win in a zero-click world

😂 Abuela Intelligence Outsmarts AI

Del Real Foods launches "Abuela Intelligence" instead of artificial intelligence
Grandma-powered advice centers, sassy campaigns, and cultural genius

"Hasta la vista, Chatbot — Grandma's got this."

🔗 Mentions & Resources:

OpenAI's Shopping Features: TechCrunch
Meltwater's Mira Launch: Adweek
Ahrefs SEO Study: Search Engine Journal
Del Real's Abuela Intelligence Campaign: Marketing Brew

🔁 Episode CTA:

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And remember — you don't need a supercomputer to be brilliant, sometimes a grandma's advice will do just fine 😉

Could Quantum Computing Destroy Nvidia's AI Dominance? Apr 26, 2025

Show notes

Featuring: Matt from Light Writer & Envoy Design

Episode Overview: In this high-energy episode, Mark and Matt ditch the typical buzzword bingo and get into the real meat of AI and quantum computing. After a fun kickoff swapping Spring Break stories (Ferraris, Vegas, the San Diego Zoo, yes, it got wild), the two dive into quantum computing's practical, real-world impact on AI, synthetic data, and the massive wave of innovation that's about to crush traditional tech models.

Highlights:

Spring Break Shenanigans: Ferraris, Lamborghinis, and family adventures in San Diego and Vegas.
Matt's 26-Year Tech Journey: From Apple II and Basic programming to Shopify builds and now Quantum AI.
Quantum Computing Reality Check: Why quantum computers aren't just "faster laptops" — and why that's a good thing.
Quantum + AI = Synthetic Data Revolution: How quantum computers will create human genome data and radically supercharge AI learning models.
Healthcare and Scientific Breakthroughs: Why pharma, biotech, and aging research will never be the same once quantum computing hits full stride.
Light Writer & Envoy Design's Next Big Leap: Six new quantum-based products launching in the next 3–4 weeks. Stay tuned.

Next Moves:

Matt to launch 6 new quantum computing products in ~4 weeks.
Mark to drop this podcast episode like it's hot within the week.
Matt to spread the word and keep Mark posted on any major AI or quantum breakthroughs.

Key Takeaways:

Quantum computers can generate truly random numbers and synthetic data — a game-changer for machine learning models.
Combining quantum computing with GPUs could lead to major leaps in healthcare, aging, and complex problem-solving.
AI is not just evolving — with quantum's help, it's about to revolutionize every major industry.
It's early, but if you're not paying attention to quantum and synthetic data, you're already behind.

Guest Spotlight: Matt Hampton, representing Light Writer and Envoy Design a cutting-edge team at the crossroads of quantum computing and AI innovation.

The Rise of GPU Investing: Owning the Backbone of AI Apr 25, 2025

Show notes

AI Marketing Podcast Schedule (Nikolay Filichkin) with Mark E Fidelman

Quick recap Mark and Nick discussed the topic of Gpu alternative investments, with Nick explaining the process of funding deals and the financial aspects of investing in GPUs. They also discussed the progress of their website, the regulatory aspects of their business, and the potential of considering Dubai for their business due to its growth in tokenization and AI. The conversation concluded with an agreement to reconnect in about 90 days to assess the progress of their business. Summary Gpu Alternative Investments in AI Industry Mark and Nick discussed the topic of Gpu alternative investments. Nick, co-founder and chief business officer at Compute Labs, explained that their business helps data center operators scale their business and allows investors to invest in Gpus or compute products as a new emerging asset class. He emphasized the importance of this investment due to the massive growth of the AI industry, and the lack of direct access to the growth of the compute space. Nick also mentioned that they provide market education and use a platform to present specific Gpu offers. GPU Funding Process Explained Nick discussed the process of funding deals, including the capital expenses, operational expenses, and projected revenue. He explained that investors receive a share in an SPV that holds rights to the GPUs, which is represented by an NFT. Mark questioned the type of GPU and the payout process, to which Nick clarified that the investor receives the specific GPU they're interested in and the payout is in USDC. Nick also addressed the GPU provider's benefits, stating they receive capital to scale their business and manage net revenue. Mark inquired about purchasing multiple GPUs, to which Nick confirmed that each GPU would be represented by an NFT. GPU Investment Financials and Returns Nick and Mark discussed the financial aspects of investing in GPUs. Nick clarified that they target a minimum 20% internal rate of return (IRR) for their projections, and they manage the assets, including hardware issues, upgrades, and liquidation. Mark inquired about the average return on investment and the role of the investor in the process, to which Nick explained that the investor collects a monthly dividend, but the cash flow and dividend depend on utilization and contracted revenue. They also discussed the minimum investment amount, with Nick stating that there is no minimum at this time, but it may vary for certain deals. Follow or Contact me on X www.x.com/markfidelman

The Death of Traditional Marketing Automation and Rise of AI Agents Apr 11, 2025

Show notes

Mark Fidelman and Eugene Vyborov discuss the differences between traditional automation and agentic AI in marketing. Eugene, founder of Ability AI, explains that agentic AI can make decisions and execute them, unlike traditional automation, which is rule-based.

Ability AI's media buying agent simulates a media buyer's work, understanding audiences, creating value propositions, and launching campaigns on Facebook. Eugene highlights that agentic AI is a paradigm shift, with potential for significant efficiency gains.

He advises marketers to learn about AI to stay competitive and suggests testing AI for competitive intelligence. Ability AI's media buying agent is in beta, with general availability soon.

Introduction and Guest Introduction

Mark Fidelman introduces the topic of the discussion, focusing on the differences between traditional automation and agentic AI in marketing.
Mark Fidelman introduces Eugene Vyborov, a serial entrepreneur and founder of Ability AI, who is currently in Portugal.
Eugene Vyborov provides a brief introduction about himself and his company, Ability AI, which focuses on AI automation for marketing, particularly media buying with Facebook.
Eugene Vyborov explains his interest in agentic AI and entrepreneurship, highlighting his expertise in this area.

Differences Between Traditional Automation and Agentic Automation

Eugene Vyborov explains that traditional automation is rule-based and lacks intelligence, while agentic automation can make decisions and execute them.
Agentic automation can analyze information, make judgments, and take actions to achieve better results.
Eugene Vyborov emphasizes the importance of content creation in marketing and how agentic automation can create content at scale.
Mark Fidelman asks for clarification on the term "agentic," and Eugene explains that an agent can be proactive or follow instructions, depending on the business use case.

Paradigm Shift in Marketing Automation

Eugene Vyborov believes that agentic automation represents a full paradigm shift, larger than the introduction of the internet.
Mark Fidelman shares a statistic from a previous episode where only 10% of marketers were using ChatGPT a year ago.
Mark Fidelman and Eugene discuss how agentic automation can make marketing more relevant and directed to individuals in real-time.
Eugene Vyborov provides examples of how agentic automation is already being used in media buying, SEO, and cold emailing.

Case Studies and Practical Examples

Eugene shares that his own marketing for Ability AI is run by their agent, which books demos at a decent cost.
Mark Fidelman provides an example of how agentic automation could personalize emails in real-time based on information found on the internet.
Eugene discusses how agentic automation can create SEO-optimized content at scale, leading to significant traffic for websites.
Eugene explains how their media buying agent works, from understanding the audience to launching and optimizing campaigns on Facebook.

Autonomy and Trust in AI Agents

Mark Fidelman asks about the level of autonomy marketers should allow their AI agents to have.
Eugene explains that currently, the level of autonomy is relatively low due to the need for trust and the risk of mistakes.
Eugene believes that over time, agents will become more autonomous and take over more decision-making responsibilities.
Mark Fidelman and Eugene discuss the performance metrics and KPIs used to judge agentic automation, such as return on ad spend and CPC.

Technical Stack and Market Trends

Eugene explains that there is no single tech stack for agentic automation, with various solutions available.
Eugene mentions generic solutions like Make and Natin that can help build agentic workflows.
Mark Fidelman asks about the biggest objections or misconceptions marketers have about agentic automation.
Eugene identifies mistrust, desire to control, and fear of replacement as major concerns among marketers.

Future of Marketing with Agentic Automation

Eugene believes that agentic automation will introduce more opportunities than it will take away, leading to a fragmented market with more solopreneurs and small teams.
Mark Fidelman and Eugene discuss the potential impact of AGI on marketing and the importance of marketers learning to work with AI.
Mark Fidelman suggests a use case for marketers to test: having an agent constantly scour the internet for competitive moves.
Eugene advises marketers to spend time learning about and working with agentic systems to stay ahead of the curve.

Rapid Fire Questions and Closing Remarks

Eugene identifies ChatGPT as the most overhyped AI tool, as it may limit exploration of other AI capabilities.
Eugene Vibraf suggests that the role of go-to-market engineer will become more important in the future.
Eugene believes that while AI can handle basic strategy, humans will still be needed to approve and commit to the strategy.
Eugene expresses concern about the uncertainty and potential misuse of agentic AI, emphasizing the need for control.

Contact Information and Final Thoughts

Eugene provides information about Ability AI and their media buying agent for Meta.
Mark Fidelman shares his contact information and encourages listeners to reach out to Eugene and test Ability AI's products.
Mark Fidelman concludes by emphasizing the importance of agentic automation in marketing and the potential it has to revolutionize the industry.

The Death of SEO and Rise of AI Search Apr 10, 2025

Show notes

Mark Fidelman and Chris Andrew discuss the shift from traditional SEO to AI-driven search. Chris, co-founder and CEO of Scrunch AI, emphasizes that AI search is becoming more prevalent, offering personalized and less biased answers.

He highlights the importance of optimizing for AI models by focusing on text-based content and understanding customer personas. Chris notes that AI search is driving significant conversion rates, often outperforming traditional SEO.

Scrunch AI helps businesses monitor and improve their AI search presence, with an average 40% growth in AI referral traffic. They also discuss the potential for AI to introduce new ad formats and the need for marketers to adapt to these changes.

Introduction and Participant Backgrounds

Mark Fidelman introduces the topic of AI marketing and expresses his preference for AI search over traditional SEO.
Chris Andrew introduces himself as the co-founder and CEO of Scrunch AI, emphasizing the shift towards AI-first customer journeys.
Mark Fidelman shares his personal experience of using AI for searches, noting the custom and direct answers provided by AI.
Chris Andrew mentions his favorite AI tools for marketing and sales, including Google's LM product, Granola note-taking app, and various GPT models.

The Shift from Traditional Search to AI Search

Chris Andrew explains why he believes search will be replaced by AI, highlighting the simplicity and personalization AI offers.
He discusses the limitations of traditional browsing and the advantages of AI in providing direct answers and understanding user intent.
Chris Andrew shares his personal experience of relying on AI for research and how it has changed his customer journey.
He emphasizes that AI is better for humans as it provides less biased and more accurate information.

Impact of AI on SEO and Customer Journey

Chris Andrew clarifies that SEO is not dead but has evolved with AI, which now evaluates content based on human intent.
He explains the importance of text-based content like FAQs, knowledge bases, and glossaries for optimizing AI models.
Chris Andrew discusses the role of large language models in evaluating content and the need for organizations to bring new data sets online.
He highlights the importance of understanding customer personas and how AI can provide personalized results based on user background and sophistication.

Optimizing for AI Models and Privacy Considerations

Chris Andrew explains how AI models rely on traditional search indices to determine credibility and relevance.
He discusses the role of Google's index and the introduction of OpenAI's own index in the AI search landscape.
Chris Andrew emphasizes the need for organizations to bring up-to-date and relevant data sets online to improve their AI presence.
He addresses privacy concerns by focusing on non-confidential internal data sets that can enrich AI models' understanding of brands and products.

The Role of AI in Customer Journey Mapping

Chris Andrew discusses the importance of understanding customer personas and how AI can provide personalized results based on user background.
He shares examples of how AI models can cater to different user needs, such as high-end fashion shoppers versus budget-conscious consumers.
Chris Andrew highlights the potential for AI to create deeply personalized experiences and the need for organizations to map their customer journeys accordingly.
He mentions his participation in a panel on neurodiversity in AI, which explores how models can help people with different thinking styles.

Marketing Strategies for AI-First Customer Journeys

Chris Andrew advises marketers to monitor and understand AI search trends, including the frequency of AI agent visits to their websites.
He emphasizes the importance of tracking referral visits, conversion rates, and citations in AI search results.
Chris Andrew suggests that marketers should focus on providing content that aligns with AI models' language-based processing.
He highlights the need for organizations to adapt their content strategies to cater to AI models and improve their AI presence.

Introduction of Scrunch AI and Its Value Proposition

Chris Andrew introduces Scrunch AI, a platform that helps organizations optimize for AI-first customer journeys.
He explains how Scrunch AI provides deep monitoring, insights, and recommendations to improve AI presence.
Chris Andrew shares that Scrunch AI's average customer sees a 40% growth in AI referral traffic and a 3-4x improvement in overall AI presence.
He encourages marketers to book a meeting with Scrunch AI to understand their AI search performance and receive actionable recommendations.

Final Thoughts and Future Trends

Mark Fidelman and Chris Andrew discuss the potential for AI models to introduce ads and the importance of maintaining neutrality.
Chris Andrew shares his thoughts on the future of AI search, including the potential for micro-transactions for referral visits.
Mark Fidelman emphasizes the need for marketers to start thinking about AI optimization and the potential impact on customer journeys.
Chris Andrew concludes by expressing his excitement about the future of AI in marketing and the importance of understanding and adapting to AI search trends.

The $100K Sales Secret: AI Agents That Never Sleep Apr 08, 2025

Show notes

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Podcast Overview:

Host: Mark Fidelman
Guest: June Louisa, Founder and CEO of Constant Closer
Topic: AI's Impact on Sales and Marketing

Key Highlights:

AI in Sales Evolution

AI can create 24/7 sales agents
Potential to personalize content at scale
Current limitations still require human oversight

June's AI Journey

Started with "Hit Me Up" CRM for content creators
Pivoted to focus on email audience conversion
Developed Constant Closer to help online course creators

AI Sales Technology Insights

AI currently enhances sales processes, not completely replacing humans
Tools like Constant Closer can:

* Generate personalized email campaigns * Improve conversion rates * Provide analytics on sales effectiveness

Future Predictions

AI will become increasingly integrated into sales processes
Humans who effectively use AI will have competitive advantage
Expect more sophisticated AI agents in 3-5 years

Recommended Tools:

Constant Closer
Gong
Manus.im
AI-powered CRM platforms

Actionable Takeaways:

Dedicate time to researching AI sales tools
Experiment with AI-driven marketing strategies
Stay informed about emerging AI technologies

Contact Information:

Guest: Jun Loayza
Website: constantcloser.com
X (Twitter): @junloayza

The AI Jobpocalypse: How AI Agents & AGI Will Change Everything Mar 19, 2025

Show notes

AI isn't coming—it's already here, and it's moving faster than anyone expected. Autonomous AI agents are being deployed right now, AGI (Artificial General Intelligence) could be here by 2027, and 80% of today's jobs could be gone within the next decade.

In this episode, Mark Fidelman, CMO of Exabits, breaks down: ✅ AI Agents: How OpenAI's latest SDK and China's Manus AI are leading the charge in fully autonomous AI workers. ✅ AGI's Timeline: Why experts like Sam Altman and Elon Musk think AGI could be here before 2030—and what happens when it arrives. ✅ The Death of Human Jobs: Why most jobs will disappear, which industries will be hit first, and what this means for your career. ✅ How to Stay Ahead: The three things you MUST do to thrive in the AI-driven economy. ✅ The Role of Exabits: How high-performance compute will power the next AI revolution, and why cloud giants like AWS, Google, and Microsoft can't keep up.

Key Takeaways:

🔹 AI agents aren't just chatbots—they're autonomous workers running businesses, optimizing supply chains, and replacing human labor. 🔹 AGI could arrive within the next five years, completely reshaping industries, innovation, and the global economy. 🔹 The first jobs to go: Coders, lawyers, analysts, and financial traders. Next? Manufacturing, logistics, and white-collar roles. 🔹 The new economy belongs to those who OWN AI infrastructure—compute power is the new gold. 🔹 If you're not learning AI, investing in AI, or building with AI right now, you're already falling behind.

Resources Mentioned:

📌 OpenAI's AI Agent SDK – The framework allowing developers to build fully autonomous AI agents. 📌 Manus AI – China's breakthrough in AI automation, pushing the boundaries of self-executing AI workflows. 📌 Tesla's Optimus Robot – A look at AI-powered robotics set to replace human labor in factories. 📌 Exabits – The AI compute backbone, providing faster, cheaper, and scalable GPU power to fuel AI's future.

Connect with Us:

🚀 Follow me on X: @markfidelman 📢 Join the Conversation on LinkedIn: Exabits 🌐 Learn More About AI Compute Power: www.exabits.xyz

The Real Reason DeepSeek Went Viral Feb 01, 2025

Show notes

What You'll Learn in This Episode

DeepSeek's AI breakthrough didn't just happen—it was engineered for maximum impact. This episode dives into the real reasons DeepSeek went viral, why their approach is a direct threat to OpenAI and Anthropic, and how AI compute demand is about to explode by 1000X.

If you think Big Tech is in control of AI's future, think again. The battle for Artificial General Intelligence (AGI) and AI compute power is just beginning, and you need to know who's really in charge.

🔹 Topics Covered: ✅ How DeepSeek became an AI sensation by open-sourcing their models (DeepSeek on Hugging Face) ✅ Why DeepSeek's $5.6 million training cost was a marketing masterstroke ✅ How Jevons' Paradox proves AI compute demand is about to skyrocket ✅ Why you can't trust Google, Amazon, or Microsoft to power the future of AI ✅ The real future of AGI & AI Agents – and how much compute we'll need to make them work ✅ The rise of Exabits as an independent AI compute provider (Exabits)

🧩 Segment Breakdown & Links 1️⃣ The DeepSeek Disruption – What Happened?

🔹 DeepSeek is a Chinese AI company that trained a ChatGPT-4 level model for just $5.6 million—while OpenAI and Anthropic spend hundreds of millions. 🔹 Their strategy? Go open-source, build a community, and make AI cheaper. 🔹 The result? Mass panic in Big Tech & a 17% drop in Nvidia's stock price. 🔗 DeepSeek on Hugging Face 🔗 DeepSeek R1 Model on GitHub

2️⃣ How DeepSeek Engineered Their Own Virality

🔹 They didn't just launch a model—they launched a movement. 🔹 Their secret sauce? A "David vs. Goliath" narrative against OpenAI & Anthropic. 🔹 Twitter (X) exploded with comparisons to Sputnik, fueling the story. 🔹 The now-infamous tweet from Wall Street Engine (@wallstengine) compared DeepSeek's launch to the AI "moonshot" moment. 🔗 Original viral tweet

3️⃣ The $5.6M AI That Exposed OpenAI's Bloated Costs

🔹 Compare the costs:

DeepSeek R1 Model – $5.6M
Anthropic Claude – $50M+
OpenAI GPT-4 – Estimated $100M to $1B 🔹 This fueled investor panic, leading to market sell-offs for Nvidia and Big Tech. 🔗 OpenAI GPT-4 Overview 🔗 Anthropic's Claude

4️⃣ Jevons' Paradox: Why AI Compute Demand is About to Skyrocket

🔹 The Cloud Storage Parallel: When storage got cheap, demand exploded 1000X. 🔹 The same thing is happening with AI compute: More efficiency → More AI adoption → More GPU demand. 🔹 AI compute demand is now doubling every 6 months. 🔗 Nvidia H100 GPU Specs 🔗 Morgan Stanley Report on AI Compute Demand

5️⃣ Why You Can't Trust Google, Amazon, or Microsoft with AI Compute

🔹 Amazon Web Services (AWS) deplatformed Parler overnight—so what happens if they don't like your AI startup? 🔹 Google already has a history of politically-motivated censorship. 🔹 Microsoft Azure is deeply embedded in OpenAI's operations and prioritizes corporate/government interests over startups. 🔹 The only solution? Independent AI infrastructure like Exabits. 🔗 AWS Censorship Controversy 🔗 Google Free Speech Controversy 🔗 Microsoft OpenAI Partnership

6️⃣ The Future: AGI, AI Agents, and the Race for Compute Power

🔹 AGI (Artificial General Intelligence) is the AI that can think, reason, and learn like a human. 🔹 AI Agents will run businesses, negotiate deals, and replace entire industries. 🔹 To train AGI, we'll need 1000X more compute than today—the equivalent of a small country's energy output. 🔹 Exabits & Other Independent Compute Providers will be the only alternative to Big Tech monopolies. 🔗 Exabits AI Compute Solutions 🔗 DeepMind's AGI Research

💡 Key Takeaways

✅ DeepSeek didn't just go viral—it was engineered to disrupt AI's biggest players. ✅ The $5.6M training cost exposed OpenAI & Anthropic's bloated spending. ✅ AI compute demand is about to skyrocket—Jevons' Paradox proves it. ✅ Google, Amazon, and Microsoft can't be trusted with AI's future. ✅ Independent compute providers like Exabits are the real future of AI.

📢 Get Involved:

🔹 Follow Mark Fidelman on Twitter (X): @MarkFidelman 🔹 Join the AI Marketing Podcast Community – Sign Up Here 🔹 Learn More About AI Compute Alternatives: Exabits

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🎙️ Rate & Review: Enjoyed this episode? Leave a 5-star review and let us know what you think!

4 Steps to Accelerate AI Innovation Jan 24, 2025

Show notes

Host: Mark Fidelman Guest: Matt Leta, Author of The Leap Guide and Founder of Future Works

In this episode of AI Marketing, we sit down with Matt Leta, a tech entrepreneur and AI strategist, to discuss his 4 steps to accelerate innovation in the age of AI. Matt shares insights from his book, The Leap Guide, and provides actionable strategies for organizations looking to embrace AI and drive innovation.

Episode Highlights: 1. Meet Matt Leta

Matt's journey from starting his first startup at 19 to working with industrial, energy, and aerospace companies.
How his experience in AI and digital product development has shaped his approach to innovation.

2. The 4 Steps to Accelerate Innovation

Matt introduces a practical, repeatable 12-week framework to help businesses successfully implement AI-driven innovation:

Locate:
- Find an innovation champion within the organization.
- Form diverse groups to identify AI opportunities.
Evaluate:
- Use a proven framework to quickly assess and prioritize ideas.
- Focus on high-impact opportunities that align with business goals.
Action Planning:
- Develop a roadmap to gain stakeholder buy-in and present AI initiatives effectively.
Progress:
- Prototype solutions and communicate value to drive organizational adoption.

3. Matt's Favorite AI Tool

Matt shares his current favorite AI solution: OpenAI's GPT-4o Pro, which he uses for strategic thinking, idea generation, and problem-solving.

4. Key Takeaways

AI success is not just about technology—it's about people, communication, and buy-in.
The importance of a structured yet flexible approach to AI adoption.
How small AI-driven wins can lead to company-wide transformation.

Resources Mentioned: