The GitHub Blog · 25 Sep, 03:13 · Business briefing

Default Enablement of Copilot Features for Copilot Business and Enterprise

GitHub has announced that Copilot features will now be enabled by default for users on its Business and Enterprise plans.

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The briefing

The story
in brief.

What happened, who it affects, and why it landed on our intelligence desk — in plain English, sixty seconds or less.

GitHub has announced that Copilot features will now be enabled by default for users on its Business and Enterprise plans. This significant policy shift removes the previous requirement for individual users to manually activate the AI coding assistant within their organisation. Consequently, developers and engineering teams will have immediate, out-of-the-box access to generative AI tools for code completion, review, and explanation. This change reflects GitHub’s broader strategy to accelerate the adoption of AI-driven development workflows across professional software teams, ensuring that organisations leveraging these enterprise tiers can seamlessly integrate advanced automation into their daily coding practices without additional configuration hurdles.

Employer demand for Artificial Intelligence skills — indexed growth since 2019
Indicative index of skill mentions in professional job postings for the field this story moves (2019 = 1)
20191x20201.3x20212x20222.8x20234.1x20245.8x20258.3x202611.2x
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This default activation signals that AI-assisted coding is no longer optional but standard. You must now treat proficiency with Copilot as a core technical competency. Developers who master prompt engineering and code review within AI environments will rise in value, while those resisting automation risk obsolescence. Engineering managers should focus on upskilling teams in AI ethics, security, and efficient integration. Your immediate next step is to experiment with Copilot daily to understand its limitations and strengths. Learn to verify AI-generated code rigorously, as accountability remains yours. Prioritise courses in Artificial Intelligence and Cloud Computing to contextualise these tools within broader tech stacks. By embracing this shift, you position yourself as an adaptive professional capable of leveraging automation to enhance productivity and innovation in your role.

For this story, the fields that convert it into pay are Artificial Intelligence, Cloud Computing, Cyber Security and Engineering — exactly the programmes matched below. The chart shows the indicative salary uplift certified professionals report in each of those fields; every one of them is a click away, from £79, finishing in as few as 20 days.

Indicative salary uplift in the fields matched to this story
Indicative ranges from published continuing-education salary studies, by field — each field is a recommended course below
Artificial Intelligence+22%Cloud Computing+32%Cyber Security+27%Engineering+24%
Matched to this story

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This briefing is based on reporting by The GitHub Blog on 25 Sep, 03:13. Read the original coverage →

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