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World Congress 2026 Europe • Jul 9, 2026 • Session details

The Great Reskilling - Who Wins in the AI Economy?

Daniel Terzenbach , Johannes Kopf , Rudi Bauer

Hyper-specialization is dead. The AI economy demands continuous curiosity over rigid CVs. Learn how to future-proof your workforce against the shrinking labor market.

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#1 about 2 min

Navigating AI fears and employment opportunities

Technological advancements emphasize the need to keep workers connected to evolving industry opportunities rather than fearing pure job losses.

#2 about 2 min

Valuing lifelong learning over specific degrees

Mastering the fundamental ability to learn and adapt provides a stronger career foundation than holding hyper-specialized formal qualifications.

#3 about 3 min

Tackling demographic shifts and talent shortages

A rapidly retiring workforce creates massive vacancies that automated tools can only partially offset alongside traditional labor strategies.

#4 about 2 min

Parallels between AI and past industrial revolutions

Historical disruptions like the steam-driven loom demonstrate that automation ultimately lowers costs and expands overall job availability.

#5 about 3 min

Distinguishing broad education from specialized training

General humanistic education fosters the essential curiosity needed to navigate long-term career shifts better than strict technical training.

#6 about 2 min

Shifting corporate recruitment toward future potential

Companies must abandon rigid resume filtering to hire and develop candidates based on long-term organizational alignment.

#7 about 3 min

Combating regional complacency in global innovation

A lack of self-driven continuous learning and linguistic curiosity threatens to erode competitiveness against fast-moving global ecosystems.

#8 about 2 min

Correcting public sector misconceptions about automation

Treating intelligence systems merely as isolated technology projects fails to address how tomorrow's organizations must fundamentally redesign their structures.

#9 about 5 min

Wage corrections for essential non-automated professions

Roles requiring profound human care and un-automatable physical presence will likely see increased compensation as cognitive tasks become heavily commoditized.

#10 about 4 min

Reviving systemic curiosity and strategic agility

Overcoming penalizing educational frameworks and a rigid cultural fear of failure is necessary to dramatically accelerate business momentum.

#11 about 1 min

Distributing the economic benefits of developer productivity

While automated tooling accelerates software creation, the resulting financial windfalls typically flow to employers and lower market prices rather than strictly boosting individual salaries.

#12 about 3 min

Implementing proactive workforce training for automation

Enterprises and governments must train currently employed individuals on intelligent tooling before waiting to reskill them after structural obsolescence.

#13 about 3 min

Aligning tech integration with employee mental wellbeing

Because technological velocity drastically increases cognitive demands, leaders must unify technology and human resources metrics to sustain a healthy engineering workforce.

Matching moments

4:29 min

Preparing workforces for artificial intelligence job displacement

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

3:22 min

Retraining workforce staff for the artificial intelligence era

Chris Heilmann +2 · LIVE

6:12 min

Understanding the fourth industrial revolution and AI anxiety

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

3:20 min

Rewards and potential disruption risks of AI

Christopher May Christopher May · Europe 2026 Virtual

2:23 min

Addressing the emotional layers of workplace AI transformation

Daria Rudnik Daria Rudnik · Europe 2026 Virtual

3:17 min

Balancing AI regulation with technological innovation in human resources

Rudi Bauer Rudi Bauer +1 · Cappuccino with HR

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