Jordan Wilson

'Everyday AI' Show host | AI Strategist and Consultant | Startup scaler and investor | Digital Agency Owner | Strategy > Marketing

Accelerant Agency scales small businesses by developing and executing their digital strategy. After a decade of partnering with Fortune 500s, Accelerant’s CEO wanted to bring those bring enterprise-level strategies to small businesses. 

Accelerant Agency takes the guess work out of growing online. We take a different approach: selectively seeking out ideal small business partners with enormous growth potential. We meticulously pair your online blind spots with the right digital strategy to explode your potential.

ChatGPT Strategist

- Developed and executed ChatGPT strategies, enabling businesses to scale operations and enhance customer experiences.
- Leveraged generative AI to refine software engineering practices, overseeing teams where one engineer supports the productivity of hundreds.
- Instituted AI governance measures, controlling AI usage within the workplace and mitigating risks associated with personal AI applications.
- Drove the implementation of autonomous agents, reducing the need for user prompting and enabling higher-level problem-solving capabilities.
- Championed the integration of open-source and multimodal AI models, paving the way for more sophisticated, application-centric AI solutions.

Why can't most companies show their ROI on GenAI? 

Because their implementation is backwards.

If you're using the same digital transformation playbook that you used for the social media and cloud eras, you're in trouble. 

On this 'Start Here Series' episode, we break down what your company is doing wrong and the 7 Step process to properly calculate ROI on your AI efforts. 

Measuring AI ROI: Why you’re doing it wrong and the 7 Steps to fix it -- An Everyday AI Chat with Jordan Wilson

Measuring AI ROI: Why you’re doing it wrong and the 7 Steps to fix it

OpenAI dropped GPT-5.4 Thinking and Pro. 🚨

Annnnd? 

The usual. 

↳  Benchmarks are wild. 
↳ Performance is elite. 
↳ Everyone's impressed.

Cool. 

Now let's talk about what actually matters.

This wasn't a model update. It was a direction change.

OpenAI is going all-in on long-running tasks, computer use, deeper research, and serious AI workflows. That's not a chatbot play. That's a work system play. 

We break it down and dish 7 big takeaways on the new GPT-5.4 model. 

GPT-5.4 Released: 7 Takeaways you need to know about Openai’s New model -- An Everyday AI Chat with Jordan Wilson

GPT-5.4 Released: 7 Takeaways you need to know about Openai’s New model 

Spent hours testing AI models? ⏳

Same. 

Openclaw setup still broken, heartbeat still dead? ☠️

Yep, been there. 

Perplexity’s new agentic tool called Computer might’ve finally solved it. 

With no technical knowledge and a simple prompt, you can have agent swarms actually working for you and getting stuff done. 

Did we finally arrive in AI agent nirvana? 

Probably not. 

Because as impressive as it is, there’s one big caveat that will likely stop it dead in its tracks. 

Perplexity Computer: What it is, How to use it and is it better than OpenClaw? — An Everyday AI Chat with Jordan Wilson

Perplexity Computer: What it is, How to use it and better than OpenClaw?

While Anthropic and the Pentagon fought, OpenAI swooped in to secure a big deal. 

But at what cost? 

And while it seemed like the entire AI news world was wrapped up in the Anthropic-Trump-OpenAI drama, the rest of big tech went nuts. 

Microsoft teased something agentic, Claude actually shipped it, and Perplexity dropped probably its most important product to date. 

This week’s theme apparently: drama and agents. 

We’ll get you caught up on all of the AI News That Matters. 👇

Trump bans Anthropic, OpenAI signs Pentagon deal, big AI goes agentic and more AI news -- An Everyday AI Chat with Jordan Wilson

Trump bans Anthropic, OpenAI signs Pentagon deal, big AI goes agentic

Everyone's chasing the next big model drop.🫳
Meanwhile, the AI updates that actually change how you work? Flying completely under the radar.
The flashy headlines get the clicks. The incremental features, quiet rollouts, and "minor" updates? That's where the real compounding value lives, and almost nobody's talking about them.
We've been guilty of chasing the shiny objects too. That changes today.
New segment on Everyday AI: the AI updates that actually matter, without the hype.
Starting with 7 huge AI feature updates you probably missed.

7 Huge AI Feature Updates You Likely Missed: From AI Video and Gmail to Agents -- An Everyday AI Chat with Jordan Wilson

7 Huge AI Feature Updates You Likely Missed: From AI Video to Agents

If your entire company was using ChatGPT in 2022.... good chance you ended up in some trouble. 😬

Now if you're company is NOT using AI in 2026.... you'll definitely be in trouble. 

But a different kind. 

That's how quickly AI has changed the business landscape. What was once a megaviral party trick in 2022 is not the lifeblood of the American Enterprise. 

So.... how the heck did it happen so fast? 

In our 10th volume of the 'Start Here Series,' we break it all down. 

From AI Chatbot to Autonomous Coworkers: How Consumer AI Has Changed and  What's Next - An Everyday AI Chat with Jordan Wilson

From AI Chatbot to Autonomous Coworker: How AI Has Changed and What's Next

Facts: AI started mainly as a marketing tool. 📢

Sure, many marketers have been ahead of the curve when it comes to AI tools and creating high-quality, AI-driven outputs. 

But now they face a major problem: decades of marketing experience can no (largely) be achieved with a few reps of today's latest AI tools. 

So, what's your company supposed to do? And how can you possible build a team full of AI-savvy marketers? 

Join us and find out. 

How to Build a Team of AI-savvy Marketers -- An Everyday AI Chat with Jordan Wilson and  Scott Morris

How to Build a Team of AI-savvy Marketers

AI hasn't caused mass unemployment. Yet. 😳

Although Anthropic's new study on the labor market impacts of AI showed no real signs of massive job disruption in jobs exposed to AI, it did outline which sectors and job types might be first on the AI automation chopping block. 

On today's show, we'll not only break that down, but also dive deeper into a more immediately impactful job trend that AI has caused. And your company definitely can't afford to ignore it. 

Is AI creating a great recession for white collar workers? Inside Anthropic’s labor report -- An Everyday AI Chat with Jordan Wilson

Is AI creating a great recession for white collar workers? 

In between the Pentagon officially labeling Anthropic and then Anthropic threatening to sue the government, there were actual huge AI updates, releases and news that impacts us all. 

↳ OpenAI dropped the world's best AI model. 
↳ Google dropped the best fast and cheap model. 
↳ Jensen Huang sang the praises of OpenClaw. 

And a whole lot more. 

Dont' show up to work this week not knowing the big AI moments that are shaping work. 

We'll get you caught up with our weekly 'AI News That Matters' on Monday. 

OpenAI drops GPT-5.4, Pentagon and Anthropic drama continues, Jensen Huang praises OpenClaw and more -- An Everyday AI Chat with Jordan Wilson

OpenAI drops GPT-5.4, New Gemini, Jensen Huang praises OpenClaw and more

Harvey Castro, MD, MBA.

ChatGPT Healthcare Advisor • Physician with Executive MBA • AI in Healthcare Author Ex-CEO & Physician, aiding in AI's healthcare integration. Empowering physicians, patients, authoring the AI in healthcare revolution.

Confused on AI implementation? We help 👋 | Top AI Voice | Founder of Everyday AI, a Top 10 Tech Podcast | AI Strategist | AI Consultant | AI Keynote Speaker | Helping companies leverage GenAI

At 2 a.m. in the emergency room, seconds decide outcomes.
Soon, those same decisions will be shaped by AI models, planetary-scale data, and infrastructure that lives beyond Earth.

I’m Dr. Harvey Castro, an ER physician and Chief AI Officer at Phantom Space, working at the intersection of medicine, artificial intelligence, and space-based computing to help healthcare move from reactive to predictive without losing its humanity.

For over 20 years, I treated crisis after it walked through the door.
That experience shaped my conviction: the future of healthcare isn’t faster reactions, it’s earlier signals.

Today, I focus on how:

AI + clinical data

Edge computing, satellites, and orbital data centers

Human-centered design

can work together to anticipate illness, reduce burnout, and protect patient safety at scale.

What I’m working on now

Serving as Chief AI Officer at Phantom Space, helping design AI strategies that leverage space-based data pipelines and resilient orbital infrastructure for real-world health impact

Advising health systems, governments, and regulators on safe, ethical, deployable AI

Translating frontier technologies generative AI, ambient sensing, edge inference into tools clinicians can actually trust and use

Chief Executive Officer

Medical Intelligence Ops, where we are pioneering the integration of Large Language Models (LLMs) into healthcare. Our physician-led team is committed to transforming patient care and hospital operations through intelligent solutions.

We are automating decisions we haven’t fully defined.

That’s the risk hiding in plain sight.

Before automation, humans absorbed ambiguity.
Context.
Judgment.
Nuance.

AI doesn’t absorb gaps.
It locks them in.

If a decision isn’t clearly defined,
AI will still execute it.
At scale.
With confidence.

Healthcare learned this the hard way.

When criteria are vague, automation doesn’t clarify them.
It hardens them.

Memorable line:
If you can’t explain a decision, you shouldn’t automate it.

AI doesn’t remove ambiguity.
It forces it to choose.

The leadership question is simple and uncomfortable.
Do we actually agree on how this decision should be made?

If the answer is no,
automation will decide for you.

Best practices before automating decisions:

Define decision boundaries in plain language
Document assumptions and failure modes
Separate judgment from execution
Require human review where stakes are high
Refuse to automate what cannot be explained

AI doesn’t just execute decisions.
It exposes the ones we never fully understood.

Organizations that recognize this early will avoid scaling the wrong logic.

Harvey Castro, MD, MBA.  #drgpt
Follow me and repost

#AI #ArtificialIntelligence #Leadership #ResponsibleAI #AIGovernance
#DecisionMaking #DigitalTransformation #RiskManagement #HumanCenteredAI #DrGPT

Harvey Castro

AI isn’t coming to healthcare.

It’s already here and most leaders aren’t ready.

This morning, I had the honor of serving as the keynote speaker at the 2026 Executive Leadership Conference for the American Academy of Physician Associates.

In the room: 300+ #PA and #NP leaders from across the country.

Not beginners.

Decision-makers.

The people who determine whether AI becomes noise…
or becomes patient impact.

We didn’t talk about shiny demos.

We talked about consequences.

Here’s what we unpacked:

• The 10M global workforce shortage and why AI + Clinician is no longer optional

• Automation bias and the “GPS effect” quietly reshaping clinical judgment

• How AI hallucinations could create Medicare fraud exposure

• Dataset bias in dermatology and genomic blind spots

• The rise of shadow AI inside hospitals

• And why empathy remains the most advanced technology in medicine

But the most important conversation wasn’t technical.

It was responsibility.

AI moves exponentially.
Healthcare systems move linearly.

That gap creates pressure.

Pressure creates mistakes.

And mistakes in medicine cost lives.

For years, I’ve said:

AI + Clinician > AI alone or Clinician alone

Today, I updated it:

AI + Clinician = Survival
Not because AI replaces us.

But because the demand curve, burnout rates, and complexity of care are outpacing human capacity alone.

AI is not the captain of the ship.

You are.

AI is the lighthouse.

Grateful for the thoughtful questions on governance, regulation, and responsible implementation and for the leaders who stayed after to wrestle with the hard parts.

The future of healthcare won’t be written by algorithms.

It will be written by clinicians courageous enough to shape how those algorithms are used.

The real question is:

Will we design AI around medicine…

Or redesign medicine around AI?

#HealthcareAI #PAleadership #AIethics #DigitalHealth #FutureOfHealthcare #aapa

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Great interview! We talked about TEDx talks and more.

Interested in becoming a TEDx speaker? 


On GRASP Confidence Podcast, I sat down with Harvey Castro, MD, MBA. physician, healthcare innovator, and TEDx speaker to unpack what it really takes to step onto the red dot and how to turn it into momentum for your speaking career.

From refining your message to understanding how organizers choose speakers, Harvey shares insights every aspiring TEDx speaker should hear.

If you feel called to share an idea that could impact lives, this conversation will help you move from thinking about it… to pursuing it.


Your voice matters.



#GRASPConfidencePodcast

Everyone talks about AI making cities smarter.

Fewer people talk about what happens when those systems fail.

As AI becomes embedded across transport, energy, healthcare, and public services, something new emerges:

Interconnected intelligence.

But interconnected systems have a hidden property.

When one breaks…
others can fall with it.

This is one of the central questions we explored in this new whitepaper on AI governance for digital public services and smart cities.

Proud to contribute alongside an incredible group of global experts.

One insight stood out:

Smart city systems are becoming critical infrastructure.
And critical infrastructure must be designed for resilience not just efficiency.  

That means thinking about:

• interoperability across vendors
• transparency and explainability
• fallback modes when systems fail
• human oversight in high-risk decisions

From my perspective working on AI infrastructure at Phantom Space, resilience may also require rethinking where compute lives.

Edge.
Cloud.
And eventually space-based infrastructure designed to keep AI systems operating even when terrestrial systems fail.

Because the future of AI isn’t just smarter software.

It’s resilient intelligence infrastructure.

Curious what others think:

What is the biggest risk we face as cities become AI-driven?


#AI #SmartCities #AIgovernance #TrustworthyAI #Infrastructure #DrGPT

📢 𝐖𝐇𝐈𝐓𝐄𝐏𝐀𝐏𝐄𝐑: 𝐂𝐚𝐧 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐬𝐦𝐚𝐫𝐭 𝐜𝐢𝐭𝐢𝐞𝐬 𝐝𝐞𝐥𝐢𝐯𝐞𝐫 𝐞𝐟𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲 𝐰𝐢𝐭𝐡𝐨𝐮𝐭 𝐡𝐚𝐫𝐦𝐢𝐧𝐠 𝐑𝐄𝐒𝐈𝐋𝐈𝐄𝐍𝐂𝐄 [𝐇𝐢𝐧𝐭: 𝐢𝐧𝐭𝐞𝐫𝐜𝐨𝐧𝐧𝐞𝐜𝐭𝐞𝐝 𝐬𝐲𝐬𝐭𝐞𝐦𝐬 𝐜𝐫𝐞𝐚𝐭𝐞 𝐜𝐚𝐬𝐜𝐚𝐝𝐢𝐧𝐠 𝐁𝐈𝐆 𝐟𝐚𝐢𝐥𝐮𝐫𝐞𝐬.]

📜 𝐃𝐢𝐠𝐢𝐭𝐚𝐥 𝐏𝐮𝐛𝐥𝐢𝐜 𝐒𝐞𝐫𝐯𝐢𝐜𝐞𝐬: GOVERNANCE Challenges in AI-Enabled Smart Cities examines how Europe can build interoperable, trustworthy urban infrastructure as AI becomes core to transport, energy, HEALTH, and public administration - linked-high-risk sectors under European Commission's EU AI Act. 

As municipalities rapidly deploy AI-driven services—𝘧𝘳𝘰𝘮 𝘵𝘳𝘢𝘧𝘧𝘪𝘤 𝘮𝘢𝘯𝘢𝘨𝘦𝘮𝘦𝘯𝘵 𝘵𝘰 𝘴𝘮𝘢𝘳𝘵 𝘮𝘦𝘵𝘦𝘳𝘪𝘯𝘨 𝘵𝘰 𝘥𝘪𝘨𝘪𝘵𝘢𝘭 𝘩𝘦𝘢𝘭𝘵𝘩 𝘳𝘦𝘤𝘰𝘳𝘥𝘴—the challenges extend beyond individual systems. Tightly coupled platforms, cross-border data flows, and multi-vendor service chains create systemic RISKS that can cascade across sectors and jurisdictions, affecting millions of citizens simultaneously.

Developed by AI & Partners with a global network of legal, technical, policy, and civil-society experts, the whitepaper explores how regulatory frameworks can operationalise fairness, transparency, and operational resilience in smart city deployments—while enabling the efficiency and inclusion benefits of digital transformation.

𝐊𝐞𝐲 𝐈𝐧𝐬𝐢𝐠𝐡𝐭𝐬 𝐟𝐫𝐨𝐦 𝐭𝐡𝐞 𝐑𝐞𝐩𝐨𝐫𝐭
+++ 𝑰𝒏𝒕𝒆𝒓𝒐𝒑𝒆𝒓𝒂𝒃𝒊𝒍𝒊𝒕𝒚 𝒂𝒔 𝑰𝒏𝒇𝒓𝒂𝒔𝒕𝒓𝒖𝒄𝒕𝒖𝒓𝒆 – Why open standards, data portability, and cross-border coordination are essential to prevent vendor lock-in and enable seamless service delivery.
+++ 𝑹𝒆𝒔𝒊𝒍𝒊𝒆𝒏𝒄𝒆 𝒃𝒚 𝑫𝒆𝒔𝒊𝒈𝒏 – How AI systems supporting critical urban functions must include fallback modes, incident reporting, and graceful degradation to prevent cascading failures.
+++ 𝑷𝒓𝒊𝒗𝒂𝒄𝒚 𝒊𝒏 𝑴𝒖𝒍𝒕𝒊-𝑺𝒆𝒏𝒔𝒐𝒓 𝑬𝒏𝒗𝒊𝒓𝒐𝒏𝒎𝒆𝒏𝒕𝒔 – Why extensive sensor networks and data fusion require privacy-by-design and explicit safeguards for marginalised communities.

🙏 Special thanks to our contributors:
• Sean Musch, AI & Partners
• Michael Charles Borrelli, AI & Partners
• Dr. Don Liyanage
• Dr. Benedikt Kohn
• Harvey Castro, MD, MBA.
• Lisa Ventura MBE FCIIS MBCS
• Helen Yu
• Mariia Shcherbakova 
• Patrick Orsos 
• Shreyas Karanjkar
• Edward Cole 
• Neil Oschlag-Michael 
• Mitko Karushkov 
• Vibhav Mithal, FHCA
• Mateo Jarrin Cuvi
• Michael Boevink 布 纷 奇 , 마이클 보빈크, مايكل بوفينك
• Ina Schöne
• Richard Chiumento 
• Carolyn Harrison
• And the many global experts and partners shaping responsible, human-centric AI governance

—

💬 For policymakers, public authorities, and system designers: Where do you see the hardest trade-off today?

#Law #Policy #TrustworthyAI #government #publicservices

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