Jan 2, 2019 · 26m · a16z
a16z Podcast | Automation, Jobs, & the Future of Work (and Income)
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In this episode of the a16z podcast, authors Tom Davenport and Julia Kirby explore how artificial intelligence is transforming knowledge work and job roles. They advocate for human-machine augmentation rather than replacement, proposing actionable career strategies, critiquing Universal Basic Income, and outlining how corporate management must evolve.
How this conversation actually went
Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. The host holds 33.6% of the talking time here. How this is scored →
speaking balance: gold is the host, purple is the guest (3 minute bins)
Julia Kirby flatly rejects the premise linking automation to universal basic income, labeling the narrative as unnecessary, depressing, and harmful to human identity.
Hardest push from the host ▶ 14:03 Host challenges assumptions on machine creativityThe host refuses to accept the neat separation between human creativity and machine logic, bringing up machine learning art and drug discovery as evidence of emerging AI creativity.
Biggest teaching moment ▶ 18:37 Reframing work as vital to human dignityJulia Kirby re-educates the host on the psychological necessity of work, explaining that compensating people without employment ignores the fundamental role structured work plays in human self-worth.
The host holds their own ▶ 6:18 Host grounds context in Doug Engelbart's visionThe host demonstrates strong subject matter expertise by connecting the guest's thesis to Doug Engelbart's foundational concepts of intelligence augmentation and modern mobile hardware.
the scores for every segment, with the reasoning behind each
| Chapter | Topic | The host as informed peer | Guest teaching | Guest disagreement | The host pushing back | Why |
|---|---|---|---|---|---|---|
| Knowledge Work and Job Automation Fears | 3 | 4 | 1 | 1 | The host sets up the context surrounding job automation fears and previous podcast discussions on US labor realities. The guests reframe the host's inquiry about finding a 'higher ground' by explaining that automation impacts tasks rather than entire jobs, advocating instead for finding 'common ground'. | |
| Actionable Strategies for Human Augmentation | 4 | 3 | 1 | 1 | The host demonstrates knowledge of tech history by connecting the guests' ideas to Doug Engelbart's vision of augmented intelligence. The guests provide an extensive breakdown of five specific career strategies for working alongside AI. | |
| Machine Creativity vs. Human Intuition and Craft | 5 | 3 | 2 | 4 | The host pushes back against a rigid boundary between human and machine capabilities by introducing real-world examples of machine learning drug discovery, AI art exhibitions, and information networks in finance. The guests acknowledge these advances but argue that machine creativity remains far behind human craft and humor. | |
| Universal Basic Income vs. Guaranteed Work | 4 | 4 | 4 | 3 | The host brings up universal basic income in the context of job loss and offers wage insurance as an alternative framing. Julia Kirby forcefully rejects the core assumption connecting automation to widespread joblessness, insisting that work is vital to human dignity and identity. | |
| The Evolution of Management Science and Corporate Strategy | 4 | 2 | 1 | 1 | The host asks how management science will evolve, proposing a shift toward emotional intelligence over pure efficiency metrics. The guests agree with the host's premise and elaborate on how corporate strategy will pivot from engineering workflows to psychological engagement. |