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Microsoft, Meta steer staff from Claude as Barclays expands it: AI vendor concentration risk

Two tech giants are reportedly steering employees to in-house tools while a major bank deepens its Claude rollout. Both moves show why AI suppliers need exit plans.

By · Editor

· 3 min read · Fact-checked

The 60-second brief

  • 1Microsoft lowered a planned $1 billion in internal Anthropic spending by one-third, The Information reported, according to PYMNTS.
  • 2Meta cut Claude Code users from about 60,000 to 30,000, pushing staff to in-house tools, the report said.
  • 3Barclays said on October 1 it will extend Claude Code to half its developers by end-2026 and most engineers in 2027.

The news

Microsoft (MSFT) and Meta Platforms (META) are steering employees away from Anthropic's Claude toward in-house tools, PYMNTS reported on October 5, 2026, citing The Information. In the same week, Barclays (BCS) announced a wider rollout of Claude across the bank. The contrast is a live lesson in AI vendor concentration: big buyers can shift their AI spending quickly, while others tie operations more deeply to one provider.

According to the report, Microsoft had been on track to spend $1 billion this year on internal use of Anthropic's technology and has since lowered that figure by one-third. A Microsoft spokesperson said the company has been steering staff to its own GitHub Copilot coding tool, though engineers can still choose other models, PYMNTS reported. Microsoft has reduced use of Claude Code, Claude models in Copilot and Claude Mythos, according to the report.

Meta reduced the number of employees using Claude Code from about 60,000 earlier in 2026 to 30,000 recently, PYMNTS reported, largely by pushing them to Muse Code, its Claude Code competitor, and MetaCode, an internal-only tool. Meta did not comment to The Information and did not immediately reply to PYMNTS' request for comment.

Barclays moved the other way. On October 1, 2026, Anthropic and Barclays said the bank plans to extend Claude Code, Anthropic's coding agent, to 50% of its developers by the end of 2026 and to most of its software engineers during 2027. The bank's Colleague Knowledge Assistant, built on Claude and live since 2025, has been adopted by more than 16,000 colleagues and handled more than 1 million searches, and Global Markets teams use Claude to process 120,000 emails a day, the announcement said.

Craig Bright, Barclays group co-chief operating officer, said in the announcement that software engineering and cybersecurity are being reshaped by increasingly capable AI systems. Paul Smith, Anthropic's chief commercial officer, highlighted the bank's plan to put Claude in the hands of most engineers by 2027.

The numbers

Microsoft planned internal Anthropic spend (reported)
$1 billion, since lowered by one-third
Meta Claude Code users (reported)
About 60,000 to 30,000
Barclays Claude Code target, end-2026
50% of developers
Barclays Knowledge Assistant users
16,000+
Emails processed daily by Barclays Global Markets
120,000

Why CEOs should care

The Microsoft and Meta moves show the buyer's side of concentration risk working as intended: both had in-house alternatives ready, so they could cut usage when costs or strategy changed. Most companies do not. Before expanding any single model provider across coding, customer service and operations, CIOs should ask: if prices rise, service degrades or the vendor's policies change, how long would it take us to switch, and what breaks first?

For banks and other regulated firms, the Barclays plan illustrates how embedded one provider can become: an assistant used by more than 16,000 staff, email routing for a trading business, and coding tools for most engineers by 2027. CROs and boards should treat this like any critical outsourcing arrangement, with documented exit plans, tested fallbacks to a second model, and contract terms on notice periods, data portability and service levels.

CFOs should watch usage, not just licenses. PYMNTS also cited a Wall Street Journal survey finding that only 11% of about 400 businesses accurately forecast AI costs. Practical steps: build applications against an abstraction layer so models can be swapped, keep prompts and evaluation tests portable, and benchmark a second provider on the most critical workloads at least once a year.

The bigger picture

Anthropic is a leading supplier to U.S. businesses: PYMNTS cited the Ramp AI Index showing 43.5% of U.S. businesses paid for Anthropic subscriptions or tokens as of July. As the largest tech companies build their own coding tools, Anthropic's growth may lean more on enterprises like Barclays, while those enterprises take on more dependence on a single vendor.

What’s next

Watch whether other large tech buyers follow Microsoft and Meta toward in-house tools, how Anthropic prices enterprise renewals, and whether financial regulators ask banks to show exit plans for their AI model providers.

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Written by

Editor · Technology & Business Writer

Hussein is a writer and business technology enthusiast focused on the intersection of technology, entrepreneurship, finance, artificial intelligence, and digital innovation.

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About this story. Researched from primary sources whenever they are available and fact-checked before publication.

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