What happens when women stop waiting to be represented in AI and start building it themselves?

In this episode, I sit down with Nathania and Stephanie, co-founders of Awedacity, who are creating something most people are still talking about but not actually doing. They are building woman-centered AI tools from the ground up using real conversations, real experiences, and real data from women around the world.

This is not theory. This is what it looks like when women step into the room and start shaping the future of AI instead of reacting to it.

Nathania and Stephanie are the co-founders of Awedacity, a women-led initiative focused on building AI tools that reflect women’s lived experiences. Their work blends community-driven data collection, AI customization, and a clear mission: use technology to center women, not sideline them.

00:01:00 – How Awedacity Started

A three-year friendship built entirely online turns into a shared mission to advance women through technology.

00:03:00 – The First Women’s Empowerment Conference in the Metaverse

They pulled off a global, hybrid event combining Zoom and the metaverse. Complex, messy, and worth it.

00:05:30 – The Shift from Metaverse to AI

They stopped chasing tools and focused on what matters: using tech to advance women.

00:06:30 – The Problem: AI Feels Biased Out of the Box

Early AI tools reflected a default that many women did not see themselves in.

00:07:30 – Collecting Real Data from Women

Global conversations with women became the foundation for building a new kind of AI experience.

00:10:30 – What “Data” Actually Means in This Context

Audio, transcripts, themes, and lived experiences turned into structured AI inputs.

00:12:00 – Building the “Prompt Disco” Brain

Using ChatGPT to analyze conversation data and generate themes that shape a woman-centered AI model.

00:13:30 – From Prompt Disco to Feminine Intelligence Agency

The evolution from a concept to a product with defined use cases and tools.

00:15:00 – AI Personas Built for Women

Tools like monetization support, social media guidance, and boundary-setting agents designed with intention.

00:17:00 – Real Use Cases and Beta Testing

Iterating through feedback, watching how women actually use the tools, and refining from real behavior.

00:20:00 – Why They Refuse to Rush This

They chose depth over speed in a space obsessed with constant updates and noise.

00:28:00 – The AI Noise Problem

New tools, new updates, constant pressure. Their approach cuts through that by staying grounded.

00:30:00 – The Real Question: Who Is Shaping AI?

If women step back, someone else decides what AI becomes.

00:32:00 – The Goal: Women Feeling Seen in AI

Not just using AI. Seeing themselves reflected in it.

00:39:00 – Where to Find Their Work

Feminine Intelligence AI platform and how to get involved.

This episode is a clear example of what happens when women move from awareness to action.

Nathania and Stephanie are not waiting for better tools. They are building them.

If this conversation sparked something for you, don’t sit on it. Explore what they’ve created. Test it. Question it. Contribute to it.

Because if women are not shaping AI, we already know how that story ends.

Listen, take action, and then come join me on YouTube for demos and deeper breakdowns.

https://innovativeaistudio.com/podcast

Most leaders think their biggest AI problem is choosing the right tools. It’s not.

In this conversation, Jelena M. breaks down what’s actually getting in the way of AI adoption inside organizations and for solo entrepreneurs. From decision fatigue and failed pilots to over-engineered governance, this episode reframes how to approach AI with clarity, confidence, and control.

If you’ve felt behind, overwhelmed, or unsure where to start, this one will ground you fast.

00:00 – Welcome + What This Season Is About

Why this season focuses on readiness, literacy, and action you can take immediately.

03:00 – Why Leaders Feel Stuck with AI Decisions

Too much noise. Too many tools. Not enough clarity on what actually matters.

04:30 – The Real Gap in AI Adoption

It’s not tools. It’s the lack of human skill development and structured support.

05:45 – Governance vs. Guardrails

When you actually need formal AI governance and when it’s overkill.

07:30 – Why 95% of AI Pilots Fail

And why that failure is expected, not a signal to stop.

09:00 – AI Agents vs. “Agentic Behavior”

Why most teams are buying into hype instead of understanding what AI can realistically do today.

11:30 – What Healthy AI Leadership Actually Looks Like

Involve your team. Ask better questions. Stop forcing tools into workflows.

13:00 – What Work Should Stay Human

Strategic decisions, context-heavy thinking, and anything tied to values and judgment.

15:00 – Women, AI, and the Confidence Gap

Women use AI 10–40% less. Here’s how that changes and why it matters.

16:30 – AI as a Safe Practice Space

Using AI to rehearse leadership moments before they happen in real life.

18:00 – A Practical AI Exercise You Can Do This Week

Map your workflow. Decide what to automate, draft, or keep human.

22:00 – Final Advice: You’re Not Behind

Most people are still at the beginning. Ignore the hype and focus on skill-building.

If you take one thing from this episode, make it this:

You don’t need more tools. You need better decisions about how you use them.

Start small. Map one task. Decide what AI should do, what it should start, and what stays yours.

Then test it.

If you want to go deeper, head over to the podcast page:

innovativeaistudio.com/podcast

What happens when you stop treating AI like a tool… and start using it as a thinking partner?

In this episode, Diane Whiddon breaks down how AI is reshaping brand strategy in real time. Not in a hypey, tech-bro way. In a practical, client-facing, “this is what’s actually working” way.

If you’ve been feeling like branding is something that happens for you in fits and spurts, there’s a smarter way to approach it.

This conversation shows you what that looks like.

About Diane

Diane Whiddon is a brand strategist and AI educator helping entrepreneurs rethink how they position, communicate, and scale their work using AI. She transitioned from web design and client boundaries into AI-driven brand strategy and now runs an AI membership focused on practical implementation.

[00:01:00]

Diane shares her pivot from client boundaries and web design into brand strategy and AI integration.

[00:02:00–00:04:00]

The realization that branding is bigger than design. It’s strategy, positioning, and how AI is expanding that work.

[~00:05:00]

Diane launches her AI membership and shifts fully into AI-driven strategy work.

[~00:08:00–00:12:00]

How AI is changing the way brand strategy is developed for clients. Faster insights, deeper clarity, better positioning.

[~00:15:00]

The difference between using AI for tasks versus using it to think.

[~00:20:00+]

Why entrepreneurs need to stop treating AI like a shortcut and start using it as a strategic partner.

[~00:25:00+]

How Diane is using AI in real client work and what’s actually working right now.

[~00:30:00+]

The bigger shift happening in business. Strategy is becoming more dynamic, iterative, and AI-supported.

AI is not making branding easier. It’s making shallow branding obsolete.

If you’re still relying on surface-level messaging, you’re going to feel stuck.

But if you start using AI to think deeper, test faster, and refine your strategy in real time, everything changes.

This episode gives you a clear look at what that shift actually looks like in practice.

If this episode made you rethink how you’re using AI in your business, share it with someone who’s still stuck in “content mode” instead of strategy.

And if you’re ready to go deeper, connect with Diane and explore how she’s applying this work with real clients.

You can find her at https://swayrisecreative.com/ or over on LinkedIn at https://www.linkedin.com/in/dianewhiddon/

Do not miss her community https://www.skool.com/ai-designers-academy/about

What happens when the people building AI don’t reflect the people it impacts?

In this episode, I sit down with Dr. Julia Stamm, sociologist, founder of She Shapes AI, and global thought leader working at the intersection of technology, policy, and society.

We get into the real conversation most people are still avoiding. Who is building AI. Who is being left out. And why that gap is not just a diversity issue, but a systems-level risk.

If you’ve ever felt like the AI conversation wasn’t built for you, this episode will hit home.

[00:01:00]

Dr. Stamm introduces her background as a sociologist working across tech, policy, and innovation.

[00:02:00]

The conversation shifts to women in AI and why representation is not optional.

[00:03:00]

Key stat: women are three times more likely to build impact ventures. This changes how AI should be built.

[00:04:00]

Overview of She Shapes AI and the global awards recognizing women building in AI.

[00:06:00]

The larger mission: using AI to solve real societal problems, not just optimize business outputs.

[00:08:00]

Why a thoughtful approach to AI builds trust. And why that trust matters more than speed.

[00:09:00]

The danger of “rose-colored glasses” in AI. Critical thinking is an asset, not a blocker.

[00:10:00]

Trust gaps between leadership and teams. Also between men and women in AI adoption.

[00:11:00]

How to get involved with She Shapes AI and join the movement.

[00:12:00]

Future vision for the awards and ongoing global initiatives.

[00:13:00]

Closing reflections on leadership, responsibility, and shaping the future of AI.

AI is not neutral. It reflects the people building it.

If women are not in the room, the outcomes will not serve them. And that is not a future any of us should accept.

Dr. Stamm makes it clear. This is not about catching up. It is about stepping in and shaping what comes next.

If you are building something right now, you are already part of that shift.

What happens when education stops being boring and starts being driven by curiosity?

In this episode, Michelle sits down with educator, author, and speaker Olivia Odileke to talk about what’s broken in traditional learning and how AI is creating a real opportunity to rebuild it.

Olivia shares how she pivoted her business from consulting to building AI-powered tools that help educators and leaders bring curiosity back into the room. This is not theory. This is what it looks like to rethink how we learn, teach, and lead in real time.

If you’ve ever felt like the current system isn’t working, you’re not wrong. This conversation shows you what to do about it.

[00:01:00] Meet Olivia Odileke

Olivia shares her background as an educator, consultant, and now builder of AI-driven tools designed to reshape learning.

[00:02:00] Why Education Needs to Change

Olivia explains why traditional learning models are no longer working and how AI is exposing the gaps.

[00:05:00] From Consulting to Building with AI

The decision to stop trading time for services and start creating scalable tools that support educators and leaders.

[00:09:00] Curiosity as the Missing Link

Why curiosity has been stripped out of education and how bringing it back changes everything.

[00:14:00] Using AI to Make Learning Engaging Again

How AI can support personalized, curiosity-driven learning instead of reinforcing outdated systems.

[00:20:00] What Leaders Are Getting Wrong About AI

A direct look at where institutions and organizations are hesitating or misusing AI.

[00:26:00] Practical Ways to Start Using AI in Education

Simple, realistic ways educators and entrepreneurs can begin integrating AI today.

[00:32:00] The Bigger Opportunity

How AI is not just a tool, but a chance to rethink how we learn, work, and build going forward.

This episode is a clear reminder that AI is not the point. What we do with it is.

If you’ve been feeling stuck, overwhelmed, or unsure where you fit in this shift, start here. Curiosity is your entry point. Not expertise. Not perfection.

And if the current system doesn’t work for you, you’re allowed to build a better one.

Subscribe, share this episode with someone rethinking their path, and start experimenting with one small change this week.

What if AI is not the most important shift happening right now? What if the real shift is how you understand yourself?

In this episode, Michelle sits down with Charity Youngblood to explore a deeper layer of entrepreneurship. This is not about tools first. It is about identity, energy, and alignment. Charity brings over 15 years of experience helping women protect their time, energy, and peace, and shows how that work translates into building a business that actually fits your life.

This conversation challenges a common assumption. AI is powerful, but without self-awareness, it amplifies the wrong things. If you are building something new, this episode will help you slow down, think clearly, and move with intention.

00:00 – Welcome to Season 6

Michelle frames the podcast around AI literacy, readiness, and action. This season focuses on people who are using AI with intention, not noise.

01:00 – Meet Charity Youngblood

Charity introduces herself and shares her core identity. She prioritizes who a person is over what they do. That lens shapes everything in her work.

02:00 – The Real Work: Protecting Time, Energy, and Peace

Charity explains her 15-year focus. Most people try to optimize output. She focuses on protecting inputs. That shift changes everything.

03:00 – From One Path to Infinite Paths

Michelle reflects on how previous generations followed a narrow definition of success. Today, there are more options, but also more confusion.

04:00 – Why Traditional Career Paths No Longer Fit

Both discuss the tension between what they were told to do and what actually worked. Corporate paths did not align with who they were.

05:00 – Building a Business from Who You Are

Charity explains how her curiosity about people became her business. She did not plan it. She followed what consistently showed up.

06:00 – The Hidden Advantage of Self-Awareness

Most people chase strategy first. Charity argues that understanding yourself is the real leverage point. Strategy without alignment creates burnout.

07:00 – AI and the Expansion of Possibility

Michelle connects this shift to AI. AI lowers barriers, but it also increases the need for clarity. Without it, you scale confusion faster.

Key Takeaways

1. AI is a multiplier. It will amplify clarity or confusion depending on what you bring into it
2. Most people are trained to focus on output. The real leverage is protecting time, energy, and attention
3. Career paths are no longer fixed. That creates opportunity, but also requires stronger self-direction
4. Building a business from identity leads to sustainability. Building from trends leads to exhaustion

If this conversation made you think differently about how you are building, take that seriously. This is the work that lasts.

And if you want to represent that mindset in a simple, visible way, head over to the shop and grab your Empowered by AI sweatshirt:

https://empowered-by-ai.printify.me/

Wear the reminder. Build with intention.

What happens when AI moves from being a writing tool to becoming a true thinking partner?

In this episode of Empowered by AI, Michelle Muncy-Silva sits down with transformation strategist Suzel W. Jones to explore how entrepreneurs can use AI to think through ideas, prototype tools, and even build working applications faster than ever before.

Suzel brings decades of experience leading transformation and agile initiatives in telecom and tech. In this conversation, she demonstrates how AI can support real business problem-solving and product creation. The episode includes a live demonstration using the AI development platform Lovable, showing how a simple prompt can begin building a working application in real time.

This conversation is especially relevant for women entrepreneurs who want to move from curiosity about AI to actually building with it.

00:00 Introduction to Empowered by AI

Michelle introduces the show and the mission of helping women entrepreneurs use AI intentionally in their work and businesses.

01:00 Meet Suzel W. Jones

Suzel shares her background leading large transformation initiatives in telecom and tech and explains how her work has evolved alongside emerging AI tools.

05:30 Moving Beyond AI as a Writing Tool

The conversation explores how AI can function as a strategic thought partner for ideation, research, and problem solving.

09:40 Why Iteration Matters When Working With AI

Suzel discusses the importance of experimenting, refining prompts, and learning through cycles of testing and improvement.

14:30 AI as a Builder, Not Just an Assistant

The discussion shifts to how AI tools can now help users move from ideas to prototypes much faster than traditional development cycles.

18:40 Designing a Simple AI-Powered Product Concept

Suzel walks through how she begins thinking about an application idea and the type of prompt she gives ChatGPT to structure the concept.

22:00 Live Lovable Demonstration

Suzel demonstrates the platform Lovable and shows how a prompt can initiate the creation of a working app, including database setup and feature design.

23:00 Watching AI Build in Real Time

The group discusses how Lovable continues working in the background while the user focuses on other tasks, illustrating the new pace of AI-assisted development. EBAI Branding Transition

24:00 Michelle’s Experience Iterating With AI Tools

Michelle shares her own experiment using AI to build a tool that could scrape saved posts from TikTok and Instagram, highlighting the iterative collaboration between human and AI.

You can grab Suzel's book here https://bit.ly/4bxanGr

If you enjoyed this conversation and want to show your support for the Empowered by AI community, check out the Empowered by AI merch shop. Every purchase helps support the podcast and the work of amplifying women using AI to build what’s next.

Visit the shop here

https://empowered-by-ai.printify.me/

And don’t forget to subscribe to the podcast and watch full episodes on YouTube so you never miss a conversation with women leading the future of AI.

What happens when AI innovation moves fast… but representation lags behind?

In this powerful conversation, Ricquel Harper joins me to unpack the tension so many of us feel but don’t always have language for. From ethical AI and global policy gaps to archetypes, voice, and authentic co-creation, this episode is about more than tools. It’s about power, presence, and making sure women and underrepresented communities are not just users of AI—but shapers of it.

Ricquel brings her background in investment banking and compliance into the world of ethical AI, and what unfolds is a grounded, honest discussion about guardrails, bias, leadership, and how we use AI without losing ourselves in it.

If you’ve ever thought, “Something feels off,” but couldn’t quite name it—this one is for you.

Timed Key Moments

00:00 – Welcome to Season 6

Why this podcast exists and who it’s for: women building what’s next with AI, intentionally.

01:00 – Ricquel’s Journey into Ethical AI

From investment banking and compliance to becoming an ethical AI specialist and “optimist of ethical AI.” Empowered by AI Interview Ricqu…

03:30 – Why Underrepresented Communities Are Leaning In

Ricquel shares why historically overlooked communities are not waiting to be included—they’re inserting themselves into the AI narrative. Empowered by AI Interview Ricqu…

05:00 – The Guardrail Problem

A candid look at the lack of global consensus on AI governance, including references to differing international priorities like the EU AI Act. Empowered by AI Interview Ricqu…

07:30 – Representation in the Rooms Where AI Is Built

The disconnect between companies claiming inclusion and the reality of homogeneous teams building the tools. Empowered by AI Interview Ricqu…

12:30 – Why Women Stop Speaking Up

Ricquel names two powerful forces: lack of confidence and exhaustion. And why continuing to speak—and build—still matters. Empowered by AI Interview Ricqu…

15:00 – Archetypes in the Age of AI

Why archetypes matter more than ever when AI-generated content can flatten identity. Ricquel explains how she uses archetypes to shape authentic voice. Empowered by AI Interview Ricqu…

18:00 – Co-Creating with AI Instead of Outsourcing Your Voice

How Ricquel assigns personas to ChatGPT and Claude, trains them intentionally, and reviews output to ensure it still sounds like her. Empowered by AI Interview Ricqu…

21:00 – The Red Flag Test

If you read your AI-generated content and think, “That sounds good, but I’d never say that,” that’s your signal. Empowered by AI Interview Ricqu…

24:00 – Live Archetype Exercise

Ricquel walks through a beginner-friendly archetype discovery prompt. We uncover “The Weaver” and “The Listener” in real time—and explore how that shapes messaging and leadership. Empowered by AI Interview Ricqu…

31:00 – Using Your Archetype Strategically

How to align your brand archetype with your audience’s archetype to craft messaging that connects instead of performs. Empowered by AI Interview Ricqu…

33:00 – Where to Connect with Ricquel

Ricquel shares how to find her on LinkedIn and continue the conversation. Empowered by AI Interview Ricqu…

Conclusion

This conversation is a reminder: AI is not neutral. And neither are we.

You have a voice. You have lived experience. And you have the ability to shape how these tools evolve—whether through speaking up, building differently, or simply refusing to let your voice be flattened into something generic.

If this episode sparked something in you, don’t let it stop here.

Head over to my Empowered by AI merch shop and grab something that reminds you you’re part of this movement:

https://empowered-by-ai.printify.me/

Wear the message. Start the conversation. Keep showing up.

And if you haven’t yet, be sure to subscribe to the podcast and check out the YouTube channel for demos and walkthroughs connected to these conversations.

We’re not spectators in this AI era.

We’re shaping it.

What if AI isn’t an output machine… but a thinking companion?

In this episode of Empowered by AI, I sit down with Kimberly Inez Mays, who helps service-based businesses demystify AI and technology in ways that create real “aha” moments. This is not a conversation about chasing the latest tool.

It’s about reframing AI as a thought partner.

We talk about what breaks first inside organizations when AI is introduced, why teams resist, how to lower the temperature around tech adoption, and how to use tools like Perplexity for powerful market research.

If you’ve ever felt overwhelmed, under-supported, or unsure how to move beyond “glorified search engine” use, this episode is for you.

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Time-Stamped Key Moments

00:00 – Welcome to Season Six

A reminder that this podcast is about readiness, literacy, and real action with AI.

00:01 – Kimberly’s Mission

Kimberly shares how she demystifies AI for service-based businesses and why empowerment matters more than hype.

00:02 – Why AI Breaks in Organizations

We unpack the disconnect between leadership expectations and actual support. Is resistance about trust, skill, or decision-making? Kimberly says it’s all three.

00:04 – Lower the Stakes First

Why your first AI experiment should not be your most important deliverable. Kimberly explains how starting with recipes, poems, or vacation planning builds comfort and confidence.

00:06 – What “AI as Thought Partner” Really Means

AI is not smarter than you. It just has access to more information. Kimberly explains how humans remain in control and how AI can surface blind spots and assumptions.

00:08 – Bias, Hallucinations, and Model Awareness

A candid discussion about vetting outputs, understanding data bias, and using different models to cross-check results.

00:10 – Why Perplexity Is Underrated

Kimberly shares how she uses Perplexity for research, competitor analysis, client avatars, and voice-of-customer insights—complete with source citations.

00:13 – Action Steps: Beginner, Intermediate, Advanced

Beginner: Plan meals using what’s already in your fridge.

Intermediate: Run a SWOT or gap analysis on your offer.

Advanced: Ask AI to identify blind spots in your positioning and explain its reasoning.

00:16 – Women in AI-Heavy Workplaces

Kimberly shares what it’s like to be the only woman in a technical department and offers one mindset that matters most: you belong.

00:17 – Confidently Wrong Humans

A powerful reminder that posturing happens in tech spaces—and that confidence doesn’t equal correctness.

00:18 – Where to Connect

Kimberly shares why LinkedIn is her primary home base for connection and conversation.

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Why This Episode Matters

For women 40+ navigating reinvention, AI can feel like both opportunity and threat. Kimberly reframes it as neither.

It’s a tool. A collaborator. A thinking companion.

But only if you stay in the driver’s seat.

This conversation reinforces Pillar 1 (Women-Led AI in Real Life) and Pillar 3 (Practical AI Education) from our content strategy Your Empowered by AI Podcast Cu…

—real stories, real use cases, no hype.

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Your Next Step

Don’t let this stay theoretical.

Take one idea from this episode and try it this week. Lower the stakes. Run a quick analysis. Ask AI what assumptions you’re making.

Then, if you want to go deeper and rep Empowered by AI while you’re building what’s next, head over to the Empowered by AI merch shop on Printify:

https://empowered-by-ai.printify.me/

Support the show. Wear the mindset. And keep building with intention.

I’ll see you next time.

What happens when learners reach for AI before they reach for understanding?

In this episode of Empowered by AI, Michelle sits down with Devika Toprani, creator of the IP-protected Sonographic Learning framework, to explore what might be missing in today’s AI-integrated education landscape.

With a background in psychology and quantitative sciences from the University of Illinois, and global academic experience across Oman, Dubai, India, and the United States, Devika brings both data and lived insight to a pressing question:

Are we moving too fast for real learning to happen?

Together, they unpack what it means to slow down thinking before refining with AI — and why that sequence matters more than ever.

Time-Stamped Highlights

[00:01:00] Devika’s global journey and the origin of Sonographic Learning

[00:03:00] The data behind AI disruption: workforce impact and Gen Z questioning degree value

[00:04:00] The overwhelm problem: dense text, speed culture, and procrastination

[00:06:00] What goes wrong when learners use AI too early

[00:07:00] “Learning is not AI-made. It is soul-made.”

[00:08:00] The sense-making gap: reels vs. 150-page textbooks

[00:10:00] Attempt → Map → Refine: the Sonographic Learning sequence

[00:11:00] AI-enabled observation and academic integrity considerations

[00:12:00] The medical student example: what happens if we skip foundational understanding

[00:15:00] When AI should enter the learning process — as a follower, not a leader

[00:16:00] Shape-emotion grammar: circles, squares, spirals, and meaning-making

[00:18:00] Gartner’s prediction on critical thinking atrophy and AI-free assessments

[00:20:00] What Sonographic Learning is not — and how it scaffolds traditional education

[00:21:00] What about learners who “don’t draw”? Universal shapes and cognitive mapping

[00:22:00] Where to connect with Devika

[00:23:00] A parent’s concern about AI dependency in young children

[00:24:00] Who this framework is truly for — institutions and learners who need structured struggle

Conclusion + Call to Action

If this conversation shifted how you think about AI and learning, don’t let it stay theoretical.

Try one simple thing this week:

Before prompting AI, draw your understanding first.

Then refine.

If you want to see demos and additional walkthroughs from guests, head to the Empowered by AI YouTube channel and subscribe so you don’t miss what’s next.

And if you’d like to support the show and represent this movement of women building with AI intentionally, explore our merchandise here:

https://empowered-by-ai.printify.me/

Every conversation builds the culture.

Thanks for being part of it.