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Learning

A blog dedicated to discussing Artificial Intelligence. Click here for thoughts on how exponential technology is changing life as we know it.

Speaking

Interested in presentations on recruiting technology, LinkedIn tips/tricks, or taking your team to the next level? Click here to request more info.

AI is changing the way we work, live, and even love. Click here to learn more about the upcoming, Turning On Machines and how you can take control as humanity experiences the rise, revolt, and reverence of AI.

Aschenbrenner, Kokotajlo, and Engler each illuminate a vital dimension of AI’s trajectory: the hardware race, the alignment challenge, and real-world adoption. Their overlapping timelines(“around 2027”) underline that the moment to prepare is now. Whether we face a crisis or opportunity depends heavily on the balance between fast compute, ethical alignment, and inclusive AI integration.

Podcast Features

Other Media Features

Forbes Online

Trifurcation of Work - By Tor Constantino

The risk, Engler says, is falling into the “efficiency trap”, focusing only on labor cuts because CFOs see productivity gains on paper. That approach may deliver a short-term margin boost, but it sacrifices long-term competitive advantage. By contrast, leaders who use the trifurcation model can reposition their workforce around market opportunity: letting AI handle the repeatable, using it to amplify human capability in the hybrid layer, and doubling down on the human skills that create differentiation.

CIO Magazine

Rethinking Cloud AI - By Grant Gross

Zac Engler argues that businesses shouldn’t view this as a “cloud exit” but rather a shift toward smarter, workload-specific decisions. He notes that public cloud remains ideal for experimentation, rapid scaling, and presentation optics, but once AI workloads mature, the calculus changes. Companies with sensitive or proprietary data, compliance obligations, or cost pressures are increasingly moving those workloads to private cloud or on-prem environments.

The Daily Upside

Shadow AI - By Nat Rubio-Licht

Zac Engler warns that the real danger isn’t using AI—it’s leaning on it too much without a strategy. Overuse creates security risks, fosters shadow AI, and can weaken critical thinking. He advises CIOs to teach employees when AI shouldn’t be used, keeping humans in the loop at critical decision points while letting automation handle tedious, low-stakes tasks.

ERE Media

You Don’t Need to Code to Use AI

As Zac Engler points out, automated scheduling isn’t a nice-to-have, it’s the grease in the recruiting machine. Tools like Calendly, free up hours a week by eliminating back-and-forth emails, giving teams space for six extra interviews and cutting time-to-fill by a week.

Disrupt HR Talks

A DisruptHR talk by Zac Engler - DisruptHR Minneapolis- St. Paul 2.0 - October 24, 2018

Title: Recruit With Robots Before They Replace You

Boomers, Millennials And AI — OH MY! - a DisruptHR talk by Zac Engler - Sr. Manager Talent Acquisition at Amplifon - DisruptHR Minneapolis-St. Paul 3.0 - November 6, 2019 in Minneapolis, MN #DisruptHRMSP