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Who Wins and Who Loses? How AI Coding Tools Will Impact Different Types of Businesses

How Generative AI will impact product engineering teams — Part 5

Mark Ridley
TDS Archive
Published in
8 min readJul 31, 2023

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This is the fifth part of a six part series investigating how generative AI productivity tools aimed at developers, like Github Copilot, ChatGPT and Amazon CodeWhisperer might impact the structure of entire product engineering teams.

In Part 4, we explored:

  1. The opportunities Generative AI presents for organisations during an economic downturn and diminished venture capital funding.
  2. Three scenarios for companies to take advantage of higher developer productivity with the introduction of Generative AI productivity tools: investing for growth, cost-cutting, and maintaining current budgets
  3. Hypothetical consequences and challenges, like drastically altered team compositions and what these changes could mean for product managers and engineers.

Cui Bono — Who benefits?

There are always winners and losers when the business environment changes rapidly. So far, we’ve been discussing the benefits and the possible impact of Generative AI tools from the perspective of a hypothetical model, but we have glossed over a lot of unspoken caveats.

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TDS Archive
TDS Archive

Published in TDS Archive

An archive of data science, data analytics, data engineering, machine learning, and artificial intelligence writing from the former Towards Data Science Medium publication.

Mark Ridley
Mark Ridley

Written by Mark Ridley

Technologist, lean evangelist, chaos monkey and Chief Technology Prevention Officer. Loves good coffee, hanging around on ropes and driving about in cars

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