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Amazon tells engineers to focus on results, not AI use

Summarised from 3 outlets · Updated 28 Oct, 23:22 · Archive

Amazon has advised software engineers to avoid excessive use of AI tools and focus instead on meaningful results.

Amazon has issued internal guidance to software engineers cautioning against overreliance on artificial intelligence tools. The memo, circulated in September and posted to the company's website, discourages 'tokenmaxxing', in which developers use AI as much as possible regardless of whether it produces valuable output.

The company wrote that while AI will be central to software engineering's future, engineers should focus on what genuinely matters: creating useful software and accomplishing company goals. Amazon described metrics based solely on AI token usage or code generation as 'deeply flawed' measures of success. The memo, authored by Terk Terkowitz, Amazon's VP and Distinguished Engineer, stated that 'our most prolific engineers have demonstrated that neither the developer role nor their output is defined by the use of AI'.

Amazon's guidance reflects wider industry concerns about the surging costs of AI adoption and difficulty measuring whether the technology delivers genuine productivity improvements. Some companies have imposed caps on employee token usage to control costs, whilst others have switched to cheaper open-source models for certain tasks. Amazon has not instituted such caps, according to a company spokesperson.

The company previously shut down an internal leaderboard after discovering employees were tokenmaxxing to climb the rankings. Under CEO Andy Jassy, Amazon has rapidly integrated AI across its business operations, with Jassy predicting the technology will 'change the scope and speed' of work and potentially reduce the corporate workforce through automation, though he acknowledged it would also create new roles.

Amazon's memo introduced the concept of the 'Renaissance Developer', who combines AI tools with human judgment and domain expertise to build new solutions. The guidance signals a shift away from measuring success through raw AI adoption metrics towards evaluating impact on customers, businesses and teams.

Amazon tells engineers to focus on results, not AI use
Image: TechRadar

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In this story: Amazon · Andy Jassy · Terk Terkowitz

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