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WEBINAR SUMMARY · HR & PEOPLE

Reskilling isn't the problem: why AI adoption stalls when the incentives around it stay the same

FORMATOn-demand webinar
LENGTH52 min
CONDUCTED ONTue, 1 September 2026
LANGUAGEEnglish

Eli Harrell, CEO of EmergePH, argues that AI tool training rarely changes how people work, because appraisals and promotions still reward the old way. He walks through the five behaviors that decide whether AI adoption sticks, and how Philippine organizations score on them so far.

WATCH THE RECORDING AND LEARN HOW TO

1. Spot why AI training fails to change behavior

2. Measure AI adoption beyond licenses and usage

3. Build the five behaviors that make AI stick

Key takeaways

Watch from 09:39

Training isn't where reskilling fails. People finish the course, then go back to jobs where appraisals, promotions and managers still reward the manual way. They are reading the incentives correctly.

Watch from 14:51

Usage and licenses prove very little. Most companies measure AI adoption by seats or logins. Few can show whether anything changed in the business or reached the P&L.

Watch from 16:27

Roles are being rewritten now. HR teams, especially in BPO, are already redrafting what jobs look like a year out. Existing staff need the AI skills to qualify for the new versions.

Watch from 21:35

Cutting people too fast backfires. Klarna's AI assistant cut average resolution time from 11 minutes to 2, but the company later rehired people. The ones it brought back knew how to work alongside AI.

Watch from 24:11

Five behaviors decide whether AI sticks. Ownership, experimentation, learning autonomy, value articulation and modeling. Philippine respondents score lowest on modeling: people learn, but rarely show others what they built.

What we covered

Pick a time to play the recording from that moment, right here on the page.

03:07

Everything has AI in it now

Manuel shows Lexi answering an overtime question in seconds, and why HR can't avoid the shift.
09:39

Why reskilling fails on its own

The incentives around the program still reward the old way of working.
12:15

Meet Eli Harrell

EmergePH and its approach: shifting behaviors that connect to KPIs, not just running trainings.
14:51

How companies measure AI today

Usage and licenses, and why that says little about business impact.
16:27

HR is rewriting the roles

Jobs are changing, not disappearing, and AI can teach people how to use it.
19:00

No industry is safe for long

Robot hotel check-ins in Japan and lights-out factories in China.
21:35

The Klarna story

An AI assistant that replaced agents, and the AI-capable people who were hired back.
23:56

The AI Behavior Benchmark

A 15-question market study across the five behaviors, with results due in November.
26:39

Executive gap readout

How leadership, middle management and frontline staff see the same behaviors differently.
35:00

Audience Q&A

Lowest-scoring behaviors, governance versus experimentation, replacing admin roles and BPO attrition.

Q&A highlights

Modeling, at an average of 6.6 out of 10. Value articulation and experimentation follow at 7, ownership at 7.1 and learning autonomy at 7.3. People are taking charge of their own learning, but rarely showing colleagues what they have built.
They aren't mutually exclusive. Governance matters in high-risk areas, but people need practice. Monthly hackathons, workshops or boot camps let them pick a problem, solve it with AI and show the result, without touching anything risky.
About a week. Once a senior leader completes it and shares their link, the gap report is generated as long as at least four people in the organization respond.
If a tool can do the same admin work for a fraction of the cost, businesses will shift. Tasks are going away, so people need to move up the value chain and build the skills the rewritten roles will need.
Yes, if you understand the problem first. One BPO used AI to score every call for QA, which freed QA leads to coach new hires through their first months. Manuel added that a flight-risk score built from pay, promotion, training and survey data shows who is likely to leave and why.
That's the next step. The benchmark is a 15-question market study. EmergePH's full audit goes deeper and evaluates proficiency from several angles.

See where your teams stand on AI

Watch the full session, or talk to us about bringing your HR data into one system with Lexi.