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Three Game-Changing Trends in Health, AI & LinkedIn

Analie Rose Derequito Aug 7, 2025 9:00:00 AM
AI in health tech, LinkedIn strategy & digital growth

In a month packed with innovation, insight, and powerful calls to action, Top Voices Unite brought together frontline thinkers across healthcare, digital strategy, and the future of AI. From Dr. Harvey Castro’s urgent case for prevention-first health systems powered by enterprise AI, to Denise Murtha Bachmann’s data-backed guide for growing on LinkedIn with intention—not just impressions—these sessions challenged status quos and offered practical steps forward. Meanwhile, Cory Warfield’s provocative metaphor of “AI Zombies” invited us to examine the human cost of automation in a quantum-powered world. Whether you're a clinician, tech founder, strategist, or simply AI-curious, this July recap delivers the key ideas and action items you need to lead in what’s next.

This evolving conversation around AI’s influence—especially in content creation—echoes recent reflections on how to strike the right balance when using AI in blog writing, emphasizing that smart usage should enhance creativity, not replace it.

Why Health Tech Must Prioritize Prevention: A Look Inside Enterprise AI, Medical Imaging & Leadership Shifts

Despite $4.5 trillion spent annually, the U.S. healthcare system is still dominated by preventable illness. What’s missing? A leadership-led focus on prevention.

On July 29, 2025 at 12 PM ET, our latest Top Voices Tuesday featured a critical conversation hosted by Michael Lopez, spotlighting Dr. Harvey Castro—ER physician, author, and Chief AI Officer at Phantom Space Corporation. Together, they unpacked how AI & Technology, particularly enterprise AI and AI medical imaging, can rewrite how we lead, heal, and decide in healthcare.

From personalized diagnostics to orbit-enabled health monitoring, this conversation offers actionable insights for digital health leaders, tech founders, and clinical innovators. Dive in to explore where health tech is heading—and how you can lead the shift.

Dr. Harvey Castro and Michael Lopez discussed about AI and healtcare innovation

“In emergency medicine, people act when they feel danger. But prevention requires a leadership mindset shift—one that AI can help us see sooner.” — Dr. Harvey Castro

Dr. Castro emphasized the importance of proactive data and leadership structure. He drew on both personal and professional experience to reveal how the current system delays action until it’s too late—something AI, medical imaging, and leadership innovation can change.

The Reality Check: Prevention in Data

Personalized Prevention: From Kettlebells to Retina Scans

From AI-powered fitness programs to Singapore's genome-based screenings for teens, the prevention narrative is no longer hypothetical. It’s here.

“Digital twins and real-time biofeedback will define the next phase of human performance optimization.” — Dr. Harvey Castro

enterprise AI health dashboard

What You Can Do Now 

Prevention is no longer just clinical—it’s technical, strategic, and cultural. The tools exist. The shift must now come from leadership decisions and aligned incentives.

Whether through AI medical imaging, enterprise AI platforms, or smarter wearables, the next frontier in health tech will be driven by intelligent prevention systems.

✔️ For Health Executives: Reevaluate how your systems incentivize early detection versus emergency response.
✔️ For Tech Leaders: Pilot enterprise AI frameworks that track prevention-based KPIs.
✔️ For Clinicians: Integrate imaging tools and wearables that provide pre-symptomatic feedback.
✔️ For Everyone Else: Engage with tools that decode your own health trends—start by asking, “What can I do today to prevent tomorrow?”

Replay + Resources

📺 Watch the Full Episode

📬 Get the most of the insights from our featured Top Voices in this episode!

From Blind Posting to Data-Driven Influence That Connects

Denise Murtha Bachmann in Blue TV livestream discussing how to Stop Guessing and Use LinkedIn Data to Drive Strategy Flow

Engagement Looks Good—But Is It the Right Kind?

That was the focus this week on Blue TV’s Stop Guessing: Use LinkedIn Data to Drive Strategy Flow, where our host Denise Murtha Bachmann (CEO, Sellovatorz, Inc.) unpacked how to make sense of LinkedIn analytics so you can stop guessing and start growing intentionally.

“We’re not here for views. We’re here for results. And those are two very different things.”
— Denise Murtha Bachmann

The Guest-work Strategy Guide

Denise’s Guide for Guess-Work Strategy

Most people treat metrics as proof of visibility. Denise reframed them as strategy tools—especially when aligned with clear business objectives.

From Guesswork → To Data-Led Decisions

Here’s how she broke it down:

✅ Start with Purpose
Are you selling a service? Building thought leadership? Networking? Your LinkedIn “why” should guide which metrics matter most.

✅ Content Isn’t One-Size-Fits-All
Videos, carousels, and text posts each attract different audiences. Test consistently for 2–3 weeks to see what lands—and mix it up intentionally.

✅ Focus on Profile Views + Engagement Quality
A viral post feels good, but did it attract your target decision-makers? Look beyond reactions—who’s actually checking your profile and leaving thoughtful comments?

✅ Format + Timing Matter
Test everything: one-line posts vs. paragraphs, weekday vs. weekend timing. Denise pointed out Saturdays can be surprisingly effective for personal content.

✅ Track Your SSI Score—But Don’t Worship It
Your Social Selling Index (SSI) is a helpful barometer, but not a content guide. Use it as a pulse check—not a strategy.

Stats to Know:

  • Video content drives 1.4× more engagement than other LinkedIn formats, with impressions rising 36% year-over-year ( socialmediatoday )

What You Can Do Now

  • Clarify Your LinkedIn Goal
     Before checking stats, ask: What am I trying to achieve?
  • Review Who’s Engaging
     Are the commenters your ideal clients, partners, or referrals?
  • Improve Your Content’s First 10 Seconds
     Retention drops fast—lead with something irresistible
  • Test Posting on “Off” Days
     Try Saturdays for lighter or personal content that builds trust

Replay + Resources

📺 Watch the Full Episode

Stop Guessing: Use LinkedIn Data to Drive Strategy Flow 

📬Learn from our Top Voice Denise Murtha Bachmann

How ‘AI Zombies’ Reflect Society’s Digital Drift: GPT-5, Quantum Shifts & UBI Dreams Unmasked

Are we turning into drones of our own making? In a world run by GPTs and predictive tools, human agency is fading fast.

In Silicon Zombies Ep. 189, streamed live on July 31, 2025 at 12 PM ET, host Nick Larson sat down with futurist and entrepreneur Cory Warfield to explore a jarring metaphor: AI Zombies—humans slowly surrendering autonomy to algorithmic suggestion. Together, they explored tech disruptions like GPT-5, Universal Basic Income (UBI), AI music generators, Universal Basic Compute, and room temperature quantum computing but through a cultural and philosophical lens.

Nick and Cory do not intend to take the stage and give just another “tech talk.” They intend to challenge creators, leaders, and users of AI to resist blind automation of everything, rewriting our existing humanity. 

Silicon Zombies AI culture livestream conversation

“We're not afraid of the tech—we're afraid of what it's doing to our autonomy.” — Cory Warfield

In this livestream, Cory unpacked his metaphor: we aren't just using AI. We're often becoming dependent on it—scheduling our days, editing our thoughts, and even forming beliefs based on machine recommendations.

Nick Larson guided the session with questions about the implications of GPT-5’s default integrations into creative, corporate, and civic workflows. The episode struck a chord with listeners across tech and education sectors.

Why did it resonate? The conversation hit a nerve because it reframed GPT-5 not as a tool to "replace" human effort, but as a partner in idea generation, strategic thinking, and global systems design. For tech professionals, it challenged the automation narrative. For educators, it opened new questions about digital equity, creative cognition, and AI ethics across geopolitical boundaries.

Verified Data Supporting the ‘AI Zombie Thesis’

future tech strategies GPT-5 UBC BRICS creativity

“We shape the tools, and they reshape us. Let’s at least choose how.” — Cory Warfield

Key takeaways:

  • Treat GPT‑5 features as collaborators—not editors.
  • Advocate for Universal Basic Compute as digital infrastructure and equity.
  • Encourage strategic use of off‑screen creativity: journaling, art, dialogue.
  • Monitor technology environments shaped by BRICS nations, which may diverge from Silicon Valley norms.

Next Steps: How to Lead Now 

✔️ For Corporate Leaders: Launch “ethical tech literacy” sessions to unveil default settings and hidden biases.
✔️ For Educators: Expand curricula to include GPT‑5 literacy and AI mindfulness practice.
✔️ For Policy Advocates: Support Universal Basic Compute infrastructure for underserved regions.
✔️ For Individuals: Conduct a weekly digital audit—highlight where AI assists vs. where you innovate.

Replay + Resources

📺 Watch the Full Episode

📬 Get the most of the insights from our featured Top Voices in this episode!

  • Follow @Cory’s journey and insights on LinkedIn as he explores AI, Universal Basic Income, and a purpose-driven post-labor economy.
    https://www.linkedin.com/in/corywarfield/
  • Subscribe for future Silicon Zombies episodes via Nick Larson’s channel on LinkedIn

Future Forward: How AI in Healthcare & Retail Is Rewriting the Rules of Experience and Efficiency

Healthcare is reactive. Retail is fragmented. Both suffer from inefficient data use.

As industries race to digitize, few are thinking strategically—until now. On July 29, 2025, the livestream “Live with Top Voices Unite: What’s Fueling the Future of Health, Retail, & AI” brought together two powerhouse hosts:

  • Nitin Gupta– LinkedIn Top Voice and global AI strategist, renowned for helping Fortune 500s and startups transform data into measurable enterprise success.
  • Dr. Beate Lloyd– Senior executive and portfolio strategist in food, nutrition, and health innovation, with a gift for translating science into scalable consumer outcomes.

Together, they led a high-impact conversation exploring not just how AI is transforming industries—through customer experience, clinical decision support systems, and retail analytics—but how trust is reshaping the way we lead these changes.

Whether you're in tech, medicine, or commerce, this event revealed a clear message: predictive, personalized, and proactive systems aren’t just coming—they’re already here.

Virtual health AI talk with Beate Lloyd and Nitin Gupta

Data Isn’t Just a Tool—It’s a Responsibility.

“The more personalized the insight, the more trust we can earn. Whether that’s in a hospital bed or a checkout line.” — Dr. Beate Lloyd

The session highlighted how AI in healthcare is expanding beyond diagnostics to enable full-cycle patient journeys through clinical decision support systems, real-time data, and population health models.

In retail, Nitin emphasized how predictive analytics and AI for customer experience are powering operational agility and intimacy at scale.

“We’re not just talking about AI anymore—we’re talking about intent.” — Nitin Gupta

But alongside the innovation came a question that grounded the conversation in something deeply human:

Can trust be achieved through title or rank, or is it earned through leadership marked by clarity, consistency, and connection?

Loes Pijpers, one of the other CEOs in the audience representing the Emerging Voices Unite community, posed this reflection during the session—and the response was powerful.

Dr. Beate Lloyd responded candidly:

“I don’t think you can have a title and make that be somebody you trust. I think it’s in how you’re performing. It’s how you set the example.”

Nitin added,

“If we provide more clarity and consistency to our team—that okay, this is the larger picture that you are aiming for, that we are looking out for—that builds trust.”

Their message was clear: as AI accelerates growth, it’s leadership that ensures we don’t lose our footing.

Trust is not automatic. It is not granted by hierarchy. It is cultivated—through vision, communication, and action.

In an age where AI systems are becoming more predictive, personalized, and proactive, this session reminded us:

Technology may move the needle, but people move the mission.

Data Fueling the Change

As leaders guide their teams through digital transformation, AI is no longer just an optional enhancement—it’s the backbone of scalable, strategic decision-making.

The numbers speak for themselves:

  • Predictive analytics in retail will hit $23.8B by 2027, growing at 21.5% CAGR. (MarketsandMarkets)
  • The global AI in healthcare market is projected to exceed $188B by 2030, driven by clinical decision tools. (Statista, 2024)

future leadership ethics data experience design

future leadership ethics data experience design

These figures aren’t just financial forecasts—they’re indicators of where leadership focus must shift.

Because while AI fuels the systems, it’s clarity and trust from leaders that guide how those systems serve people.

Nitin hosted Beate to show us that the intersection of data, ethics, and experience design will define tomorrow’s leaders. The main takeaways from this livestream?

  • Innovation isn't just about scale—it's about human insight.
  • Predictive systems must enhance decisions, not just accelerate them.
  • The future belongs to organizations that make AI empathetic and transparent.

What You Can Do Next 

✔️ Healthcare Teams: Assess your EHR and diagnostic tools for AI decision layers.
✔️ Retail Leaders: Integrate real-time analytics dashboards for dynamic pricing and stock control.
✔️ Founders & Innovators: Develop CX-first tech—not just feature-rich tools.
✔️ Everyone: Push for transparency in every algorithm that influences your team or customer.

Replay + Resources

📺 Watch the Full Episode

📬 Learn from Today’s Top Voices

🌱 Dive deeper into Beate’s work at the intersection of nutrition, innovation, and strategy:
https://healthstrategiesfoodsolutions.com/

📖Further Reading

  • For those thinking about AI and human connection
    “Digital Wellbeing: Empowering Connection with Wonder and Imagination in the Age of AI” by Caitlin Krause
    https://a.co/d/dQewnxT
  • For boardroom-ready conversations on AI, risk, and resource allocation
    “Prediction Machines” by Ajay Agrawal & Joshua Gans
    https://a.co/d/5QN3Axj
  • Want to understand AI in food systems?
    Check out “The AI for Food Movement” by Vinay Indraganti & Michael Walton
    https://a.co/d/iz1HOs1

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