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1 episodes · 18 quoted claims
Cory Hymel said he has studied human-computer interaction for ten years, focusing on how AI affects developers.
“my background and I've studied for the past ten years the field of human-computer interaction and was with a specific focus on, like, how AI impacts developers.”
Cory Hymel dated the enterprise arrival of modern AI to around 2020.
“So, when AI kind of first, you know, hit the scene in 2020 and then kind of growing a little bit more”
Cory Hymel described a second wave of enterprise AI strategy, 'token maxing', which aimed to drive adoption and productivity statistics.
“oh, well, let's start doing token maxing and then we'll kind of drive adoption and that'll get us our productivity stats.”
Cory Hymel cited research that people are 2.4 times more likely to adopt AI after seeing a leader use it and 3.6 times more likely after seeing a peer.
“individuals are 2. 4 times more likely to adopt AI when they see a leader use it. They're 3. 6 times more likely to adopt when they see a peer use it”
Cory Hymel cited research that people are 5.6 times more likely to adopt AI after seeing a cross-functional peer use it.
“but they are 5. 6 times more likely to adopt when they see a cross-functional peer using it.”
Cory Hymel compared grassroots AI adoption to the way bring-your-own-device and mobile entered the enterprise.
“when BYOD and mobile came into the enterprise”
Cory Hymel said many CIOs tick the learning-and-development box with generic courses or a $500 annual stipend.
“We offered out these blanket, generic courses to the enterprise and people should go be doing it. Or we give them 500 dollar a year stipend.”
Cory Hymel cited a roughly $2 billion Windsurf deal for its top 20 engineers, and Meta paying an AI engineer $3 million a year, as examples of the AI talent war.
“Meta or Google buying Windsurf for 2 billion, only to get their top 20 engineers, or Meta paying AI engineer $3 million a year to come in”
Cory Hymel said Meta bought Scale mainly to get its CEO and a small group of top AI engineers.
“or them purchasing scale just to get the CEO and his, you know, little band of top”
Andela scraped about 2 million jobs and analysed nearly 70,000 tech postings to map them to skill taxonomies.
“we scraped like 2 million jobs and analyzed down like almost 70,000 tech postings”
Cory Hymel proposes allocating the overlap between an AI agent's skills and a human's skills to the agent, which is cheaper to run.
“I look at it as a Venn diagram, and an agent has these skills, a human has these skills.”
Cory Hymel said companies that tried to replace a whole role with an AI agent have seen it fail repeatedly.
“is to say, hey, we're gonna replace this role with an agent. And we've seen that catastrophically fail over and over and over.”
Andela keeps a large network of technologists and breaks all of them down by skills.
“Andela has like a big network of individuals. We break everything down by skills.”
Cory Hymel said many experienced engineers have not been formally tested since college, so most enterprises lack a skills baseline.
“most engineers that are kind of like deep into their career, you know, whether they're 20 years in or 30 years in or even 15 years in, they've never they haven't been tested since college.”
Cory Hymel said most Andela skills assessments take about 30 to 40 minutes.
“Most of them we've done in like 30 or 40 minutes”
Cory Hymel said Andela customers reassess skills quarterly, twice a year or annually.
“we see people do it quarterly, we see people do it twice a year, uh, we see people, some people just do it annually.”
Andela built assessments for a large bank that wanted engineers with experience in mortgage-backed securities.
“we built assessments and for a big bank that wanted specifically engineers that had experience with mortgage-backed securities.”
Cory Hymel said technical skills now have a half-life of about two to three years.
“skills now are phasing out with about two to three years”