AI isn’t just transforming technology, it’s reshaping the very definition of talent. This episode of  Pure Signal examines why organizations need to change their hiring scope to focus on skills like adaptability, curiosity, and a real eagerness to embrace new technologies as AI adoption continues across today’s workforce.

As companies struggle to accelerate AI adoption, a new reality is emerging: technology alone won’t drive transformation. Leaders are realizing that success depends on people who can learn quickly, embrace change, and rethink how work gets done. From mid-market disruptors to global enterprises, the pressure is on to identify and develop teams built for continuous reinvention.

Join Vincent and Kevin as they explore what defines AI-ready talent, how leaders can nurture curiosity and resilience across their organizations, and why the ability to adapt is now a competitive advantage. Their conversation offers a candid look at the human side of AI transformation, and the stakes for companies that fail to evolve their workforce as fast as their tech.

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Quotes

“Everything goes back to simplistic elements and traits. Who's going to be successful in that model where you have to learn? Well, it's someone who has a learning mindset, a growth mindset. Someone who is curious, someone who's got the discipline to figure it out. Someone who's got the perseverance to work through things. Someone who gets excited about doing it in a different way." – Kevin Erickson

“In these moments, I think we're going to see the mid-market companies get a lot more aggressive. They have the agility, they have the conviction. Oftentimes they're still sort of founder-led or privately owned in some cases, and that gives them more flexibility. They want real growth." – Vincent Yates

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Time Stamps

00:00 Intro

00:30 Why AI adoption is uneven across organizations

03:00 Getting past the first hurdle

06:00 Carrots vs. sticks

10:00 Moving from faster work to better work

13:00 Redefining value when AI levels the field

17:00 Why mid-market companies have the advantage

23:00 Lessons from past tech transformations

28:00 Hiring for adaptability

36:00 Curiosity, resilience, and change as competitive advantage

42:00 Leading through change without burning out teams

46:30 Closing thoughts

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Links 

Connect with the hosts on LinkedIn!

• Vincent Yates

• Kevin Erickson

• Jason Goth

Learn more about Credera

AI projects are falling short across the tech industry and executives are losing their jobs because of it. This episode of Pure Signal explores the reasons behind boards’ new pressures, what CIOs and CEOs can do to right the ship, and how it is possible to balance speed with strategy in regards to AI. 

From the early days of AI adoption well through to today, workers everywhere have been worried about if their jobs will be replaced by their computer counterparts. And recently people have been losing their jobs..but not because they’re being replaced. High-profile CIO and CEO departures have been making headlines because they’ve been going too slow in their organization’s AI efforts. 

Join Vincent, Jason, and Kevin, as they unpack the rising tension in the C-suite as AI adoption becomes a board-level priority. With only 25% of enterprise AI projects delivering on ROI, companies are reckoning with years of tech debt, siloed systems, and a shortage of generative AI-ready talent. Their conversation dives into how to lead AI transformation from the top without sacrificing security, regulatory standards, or execution speed.

From risk-tolerant innovation and agile delivery to the debate over if titles such as “Chief AI Officer” even mean anything tangible, this episode lays out what forward-leaning organizations are actually doing to win, and why most of them aren’t talking about it publicly.

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Quotes

"We're asking CIOs to solve all of the tech debt for the past 10 years that organizations haven't invested in or paid for and then on top of that, deliver net new outcomes with AI. That's a really difficult spot. CEOs basically want miracles, and they want them now.”

– Vincent Yates

"Boards want to see bold action. If you're a little sloppy but you're showing demonstrated value in terms of velocity and acceleration, people will likely forgive that. But if you're too cautious and get fired for moving too slow, that’s a much harder story to recover from. Right now, this is a moment for action, not preservation."

– Kevin Erickson

"This idea that you have to choose between innovation and security is completely false. If you design things well and use AI and other automation tools, you can actually be more secure while moving faster. The tools can test for vulnerabilities, generate more secure code, and incorporate best practices by default. You get better outcomes at greater speed."

– Jason Goth

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Time Stamps

00:00 Intro

00:25 Holding executives accountable for slow AI adoption

02:35 Overcorrection? Or justified response?

09:55 Roles are shifting across organizations

13:40 Think slow but act fast

20:35 Lean on specific, measureable pursuits

25:25 Security is no longer a good excuse

29:35 It's okay to break things

38:00 Is it as easy as adding a new title to your executive team?

46:35 Empower your existing teams to orient around action

50:50 Recent AI wins to learn from

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Links 

Connect with the hosts on LinkedIn!

• Vincent Yates

• Jason Goth

• Kevin Erickson

Learn more about Credera

GenAI capabilities are in a state of constant acceleration, but without true memory, it also is starting from scratch with each use. In this episode of Pure Signal, you’ll hear why context is the next critical unlock in AI and what it means for both businesses trying to stay ahead and consumers craving personalization. 

Opening up with a breakdown of how current models are operating, Vincent, Kevin, and Jason weigh how these platforms will need to evolve in order to be fully customized at the user level in a safe and scalable way. They argue that while the most obvious benefit exists on the consumer side with increased user loyalty, executives and businesses would also be able to leverage this unlock to streamline many of their operations.

Is it technically feasible to carry context from app to app? Will vendors allow it, or fight to own it? And what are the strategic risks of letting someone else control your AI memory layer?

Whether you’re designing new products, leading AI integration, or shaping data architecture, this episode offers a timely look at what it takes to build differentiated experiences in a world of commoditized intelligence.

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Quotes

"What’s fascinating is that we’re revisiting the same challenges we’ve seen throughout 200 years of computing. General vs. Special Purpose. Memory vs. No Memory. It’s always been the same problem. AI today looks like early mainframes or punch cards in some ways. We’re going to need another evolution to figure out how memory and personalization really work.” – Kevin Erickson

"The way we've designed systems for the last 20 years is to be stateless. The AI models are no different. You either put memory into the model, which is basically not scalable—or you provide it as input every time. That’s why durable, long-term memory is such a hard architecture problem to solve." – Jason Goth

"We're going to move from a world where your data travels with you. That's the game-changer. I shouldn't have to reintroduce myself to every system I use. The intelligence isn't just in the model, it's in what it remembers about me and how seamlessly it can apply that context." – Vincent Yates

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Time Stamps

00:00 Intro

01:00 The value of being remembered

05:35 Will AI models be sought out for stored context?

14:05 Can each platform be fully customized per user?

19:30 Solving future problems with current technology

25:25 Increasing loyalty with added context

30:10 Where will customers see the impact

36:35 Are potential risks worth worrying over?

43:20 It all comes back to differentiation

47:40 Wrapping up

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Links 

Connect with the hosts on LinkedIn!

• Vincent Yates

• Jason Goth

• Kevin Erickson

Learn more about Credera

M&A processes are more efficient than ever before with AI streamlining complicated processes and offering in depth research at will. Today on Pure Signal, you’ll hear what this might mean for the future of services business, consulting firms, and even government systems.

The conversation kicks off with Vincent, Kevin, and Jason covering traditional rollup models from a pre-AI world. With original investment theses centered primarily around centralizing back office tasks and bringing incremental improvements to functions such marketing and IT, Gen AI is now lowering integration costs and accelerating system migrations in ways that reshape the calculus entirely.

From deconstructing tech debt to reinventing customer acquisition and marketing, the trio tackles big questions. Are legacy systems now strategic assets? What does risk management look like in the AI era? And is consulting still defensible when information advantage erodes?

Whether you're a CEO navigating digital transformation or a strategist rethinking your M&A lens, this episode offers a thought-provoking look into the tools, tactics, and mindsets required to lead in the AI-powered future.

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Quotes

“If things are cleaned up and there is less technical debt, then there's going to be opportunities to do things you wouldn’t have done otherwise because it would’ve been too costly.” – Jason Goth

“We’ve always onboarded customers this way, but do we need to anymore? The companies that will win are those questioning what’s possible and willing to rethink.” – Kevin Erickson

“You don’t need a 100% accuracy guarantee. What you need is a reserve model and a willingness to accept some errors because being too risk-averse is costing you money.” – Vincent Yates

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Time Stamps

00:00 Intro

00:55 Centralizing service businesses pre-AI

05:45 Where to consolidate first?

12:30 How does the landscape look now with AI?

20:35 The customer acquisition process is changing

24:45 Removing legacy roadblocks to upgrade systems

30:45 Balancing risk and efficiency

37:55 Reimagining what you thought was possible

41:10 Applying this lens of retooling at the societal level

45:00 Facing the new shift in consulting

49:40 CEOs’ adoption of AI

53:50 Wrapping up

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Links 

Connect with the hosts on LinkedIn!

• Vincent Yates

• Jason Goth

• Kevin Erickson

Learn more about Credera

Today on Pure Signal, Vincent, Jason, and Kevin tackle one of the most fundamental questions when looking at today’s technological landscape:  What do companies actually believe?

In a wide-ranging conversation that spans from post-war industrial America to the Gen AI frontier, the team explores how implicit belief systems, not mission statements, are truly driving corporate behavior. From Bell Labs and Silicon Valley's shifting ethos to the rise of bold, founder-led companies, the discussion reveals why full neutrality is an impossible hill to stand on.

As generative AI begins to reshape not just how companies operate but what they stand for, this episode offers a timely look at why leadership, taste, and strategic conviction are more critical than ever. Whether you're leading or building an organization, this conversation will challenge how you think about purpose, performance, and the future of AI-led business.

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Quotes

“AI is going to force organizations to define their taste. How they want to sound, look, and operate. You can’t outsource that to a committee. CEOs will have to make bold, unpopular decisions, and that requires a core belief system that doesn’t wobble with the wind.” – Vincent Yates

“I don’t think purpose is just about profits, but I also don’t buy into the idea that stakeholder capitalism alone creates value. The companies that last are the ones that tie employee experience and customer value into a shared mission. That’s where you find real nobility in work.” – Kevin Erickson

“The most successful companies I’ve seen rally around a clear mission. Something bigger than just making money. That sense of purpose drives innovation and attracts people who actually want to build. It’s not about marketing spin; it’s about having something real to stand behind.” – Jason Goth

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Time Stamps

00:00 Intro

01:00 Defining the true beliefs of organizations amidst global turbulence

02:45 Shifting priorities of Silicon Valley companies

06:25 How beliefs create a value prop for employees

08:55 Bell Labs case study11:20 The role of mission-driven innovation in business success

13:10 What companies can learn from a united past

17:15 What gives people purpose?

20:40 Why companies are choosing to stay private

23:55 How are CEOs winning loyalty?

35:30 The importance of defining your company's purpose

36:25 How do you define your company mission?

38:15 How will AI affect company core values?

39:20 The aesthetics of AI

51:10 Where does AI fit in your organization?

52:25 The Corporate AI Mandate 

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Links 

Connect with the hosts on LinkedIn!

• Vincent Yates

• Jason Goth

• Kevin Erickson

Learn more about Credera

Today on Pure Signal—our first episode since rebranding from Technology Tangents—the team dives into the major shifts reshaping the tech landscape. Vincent, Jason, and Kevin break down everything from crypto M&A and evolving tech policy to rapid AI advancements and the growing crisis in energy infrastructure.

As these forces converge, they explore what it means for businesses facing an increasingly volatile environment—and why adaptability, foundational tech, and clear strategic vision are more essential than ever. With AI’s insatiable demand for power testing infrastructure limits, the need for innovative, future-ready solutions is front and center.

If you’re looking to cut through the noise and stay ahead of what’s really driving tech forward, this episode is your starting point.

Today on Technology Tangents, the team has a very special announcement to share. Starting with our next episode, the show will be updated to Pure Signal, where we will cut through the noise to help you understand what matters in tech. Don’t worry, you won’t have to update anything on your end as a subscriber and you’ll hear more today as Jason, Kevin, and Vincent reflect on the show’s journey.

The big topics for today include recent travels for all three of our hosts as they share their insights from NVIDIA GTC, Adobe Summit, and Kevin’s recent trip to India. As AI continues to dominate all types of industry conversations, it in turn is impacting the conferences of organizations who are leading the charge. 

If you want to stay ahead of where enterprise AI is truly going, this episode offers a glimpse into the forces that will shape the next five years of strategy, talent, and technology.

In this episode, Vincent Yates and Jason Goth are joined by Kevin Erickson, Partner at Credera, to explore how generative AI is reshaping advertising and forcing businesses to rethink personalization, revenue models, and accessibility. Is traditional advertising on its way out? How will small businesses compete? And what strategies should leaders adopt to stay ahead? Tune in for a deep dive into the future of digital ads.

In this episode, Vincent Yates and Jason Goth are joined by Kevin Erickson, Partner at Credera, to explore hidden inefficiencies and operational waste within organizations, from AI-driven cost-cutting to modernizing legacy systems. The trio discusses why outdated processes persist, who should be responsible for fixing them, and how to balance cost-cutting with morale and innovation. Tune in for a candid conversation on leadership, efficiency, and smart decision-making.

Super Bowl LIX was a high-tech spectacle, showcasing how technology is reshaping live sports and entertainment.

In this podcast, our hosts discuss the technology advancements displayed in the Super Bowl, from a player perspective, to a fan safety perspective, to, of course, the advertisements. Whether you’re a sports fanatic, a tech enthusiast, or a business leader looking at the future of sports entertainment, this is a chance to appreciate the technology advancements in sports and explore how these innovations can be integrated into your organization's everyday operations.

Learn more about the podcast, or reach out to start a conversation.

Outline:

• 00:00 - Introductions
• 3:45 - Technology news from the Super Bowl
• 9:45 - The push towards 5G
• 13:30 - What changed in broadcasting?
• 15:20 - How much data was processed from the Super Bowl?
• 19:28 - Should we use more AI in sports? Or less?
• 24:48 - What technology are coaches and teams implementing to drive strategy and create safer practices?
• 31:33 - Super Bowl security advancements through technology
• 38:52 - AR at the Super Bowl & fan engagement technology advancements
• 40:25 - T-mobile and Starlink's announcement and the commercials
• 54:00 - Closing thoughts about the advancements of technology in sports