Using AI at Work

Using AI at Work The podcast that teaches YOU how to Use AI at Work.

10/11/2025

On the latest episode of Using AI at Work, Jim Curry compared the current wave of AI adoption to the rise of open source software.

Just like developers once started using open tools long before corporations caught on, AI adoption inside enterprises is being driven from the bottom up, by individuals experimenting, learning, and proving value on their own.

As Jim explained, that grassroots innovation is what he’s watching most closely.
Not just the technology itself, but how people are using it, what’s working, and where it’s adding real value.

He also raised one of the biggest questions on everyone’s mind:
👉 What happens to the human role as AI agents start handling more of the work?

From output evaluation to escalation tasks, the future of work isn’t fully clear, but understanding where humans fit alongside intelligent agents is now one of the most important conversations happening inside every company.

🎧 Link to the full episode is in the comments.

10/09/2025

On the latest episode of Using AI at Work, Jim Curry explored how the accessibility of AI is transforming what it means to build and operate a business.

In the early days, AI was complex and costly, limited to teams who could build advanced systems from scratch.
Today, it’s the opposite.

AI has become simple enough for anyone to adopt, across every part of the business, from products and operations to customer-facing experiences.

As Jim explained, this accessibility is lifting all boats in terms of innovation.
People who were never developers are now becoming builders.
And perhaps even more importantly, they’re becoming data scientists, gaining the ability to interact with data in real time and extract insights without depending on specialists.

That shift is redefining what teams can do, and who gets to do it.

👉 Link to the full episode is in the comments.

10/08/2025

AI is about to change the way companies engage prospects.

On Using AI at Work, Jim Curry described a future where intelligent agents replace static chatbots. These agents act as SDRs, collecting info, answering questions, even spinning up a demo instantly.

The key? Context persists. If a visitor leaves and returns later, the agent remembers where the conversation left off.

Meanwhile, human reps receive the data in real time, knowing exactly when to step in.
This balance of automation + human touch could redefine go-to-market, speeding up cycles and personalizing outreach without adding headcount.

Full episode, link is in the comments.

10/07/2025

AI isn’t just changing operations, it’s reshaping go-to-market strategy.

On Using AI at Work, Chris Daigle sat down with Jim Curry, co-founder of BuildGroup, to discuss how AI is lowering the marginal cost of growth and what that means for business models.

Jim explained that AI is making it possible to scale outreach and creativity at a fraction of the cost. That shift poses long-term challenges for venture capital, since high-growth companies may no longer need the same level of funding to achieve scale.

But while the tools are powerful, there’s still a gap. AI can generate prospect lists or outreach templates, but the results often feel spammy.

The real advantage comes when leaders take those AI-generated first drafts and refine them into targeted, custom outreach, messages that actually resonate instead of flooding inboxes with generic pitches.

Full episode, link is in the comments.

10/06/2025

AI isn’t the first wave of innovation, and it won’t be the last.

On Using AI at Work, Jim Curry compared today’s AI boom to earlier shifts in open source and data science. He shared the story of the OpenStack project, where global collaboration, including contributions from both U.S. and Chinese government agencies, drove massive software innovation.

AI, he explained, is the evolution of that same movement. Companies that understand their workloads generate unique, valuable data will be best positioned to capture the benefits.

We cover:
• Why open collaboration accelerates innovation
• How AI builds on the data science boom
• Why data-enabled companies have an edge

Full episode, link is in the comments.

10/03/2025

AI isn’t replacing SEO, it depends on it.

On Using AI at Work, Bruce Clay, the Father of SEO, reminded us that search optimization has never been limited to organic results. Done correctly, SEO strengthens every part of visibility, from organic listings to extensions that improve performance.

Google has spent 27 years building systems to detect spam, crawl content, and surface authority. With racks of servers and decades of refinements, there’s no reason for AI to reinvent this infrastructure.

Instead, AI relies on SEO. It depends on structured sites, expertise, and authority to filter out spam and hide garbage. Without strong SEO foundations, AI systems wouldn’t know which sources to trust.

Catch the full episode of Using AI at Work, link is in the comments.

10/01/2025

Not all AI-generated content is created equal.

On Using AI at Work, Bruce Clay, the Father of SEO, explained why content produced by chat tools often leaves a clear footprint.

Take the example of asking AI to “write a 1,500-word article on search engine optimization.” The output may look polished, even convincing. But under the surface, it’s just an assembled sequence of words drawn from across the web.

Bruce noted that detection tools like ZeroGPT can flag this kind of content as 92% AI-generated. Why? Because AI writing patterns are predictable. Sentences tend to be the same length. Sections often contain the same number of sentences. Bullet lists almost always repeat the same structure.

That uniformity is the giveaway, and it’s what makes obvious AI writing risky to publish without human refinement.

Catch the full episode of Using AI at Work, link is in the comments.

09/30/2025

AI is reshaping how search works, but it isn’t replacing SEO.

On the latest episode of Using AI at Work podcast, I sat down with Bruce Clay, widely known as the Father of SEO, to unpack how AI is influencing rankings, visibility, and content strategy.

Bruce explained a critical trap: most people using AI simply drop in a keyword, accept the output, and publish. Google can see it’s AI, and that’s risky.

When asked how search engines are treating obviously AI-generated content, Bruce pointed to a large survey by Ahrefs. The study looked at nearly a million keywords and the top 10 results. About 40% of those results were AI-generated.

What does that mean? Google either can’t always detect AI content, or it doesn’t care. What seems to matter most is whether the content is legitimate, useful, and provides a clear answer to the query.

We cover:
• Why AI isn’t replacing SEO fundamentals
• The risks of publishing obvious AI content
• What Ahrefs found across a million keywords
• Why Google values usefulness over how content is created

Catch the full episode of Using AI at Work, link is in the comments.

09/27/2025

What if 80–90% of your ad spend was not just wasted, but actually losing you money?

On Using AI at Work, Jeff Greenfield, CEO of Provalytics, explained why so many marketing budgets fall apart under scrutiny.

Marketers often rely on spreadsheets stitched together from 7 or 8 different platforms, each one taking credit for the same conversions. The result? Numbers that don’t add up, and CFOs who dismiss marketing’s analysis as unreliable.

Jeff described how Provalytics provides a single source of truth, using AI to unify data across platforms. This makes attribution accurate, conversations with finance credible, and wasted spend visible.

09/26/2025

Great marketing isn’t just about clicks and conversions, it’s about emotion.

On Using AI at Work, Jeff Greenfield, CEO of Provalytics, shared a story from BMW. Decades ago, their ads weren’t designed for buyers at all. They were designed for 16-year-old boys, planting the seed of aspiration so that, years later, those boys would want to drive a BMW.

That kind of long-term brand planning is rare today, as most marketers live quarter by quarter. But Jeff reminded us that true marketing power lies in the emotional, unconscious aspects of storytelling.

When people feel something for your brand, awareness and trust follow. That’s what drives both long-term aspiration and short-term results.

09/25/2025

Most marketers still chase clicks, but clicks are only the bottom of the funnel.

On Using AI at Work, Jeff Greenfield, CEO of Provalytics, explained why impressions are the true foundation of marketing. Dollars invested generate attention. Attention builds awareness. And only once awareness is strong enough do clicks and sales follow.

The problem? Too many teams skip over the awareness column in their reports, even though it’s sitting right there in the data. That column is impressions.

As Jeff put it, impressions are more than a metric: they represent placing an image of your brand, product, or service into someone’s mind. That’s the spark that makes all downstream activity possible.

09/23/2025

Clicks don’t always tell the real story.

On the podcast Using AI at Work, Jeff Greenfield, CEO of Provalytics, explained why impressions are often the key to understanding marketing impact. Every channel and product has what he calls a “time to conversion.”

For example: in the U.S., car buyers are typically in market for nine months before purchasing. Lease companies send letters offering pull-ahead deals, so smart auto marketers begin their campaigns ten months out, long before a single click.

Jeff emphasized that impressions today may not turn into clicks until weeks later, sometimes even months. That’s why attribution requires looking beyond campaign click data.

At Provalytics, his team uses machine learning and AI to analyze patterns at scale, identifying how impressions lead to downstream results across multiple channels.

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