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Claude’s AI Just Got a Major Research Upgrade

Claude’s upgraded research mode in action

Anthropic’s AI assistant Claude is shaking up data analysis with its latest update. Announced on May 2, 2025, the upgraded “Research” feature lets Claude autonomously investigate topics for up to 45 minutes—tripling its previous runtime. The tool scours hundreds of internal and external sources, breaking complex queries into subtasks and compiling reports with citations.

But does it deliver? We tested it alongside AI experts to find out.


How Claude’s Extended Research Time Benefits Users

Traditional manual research on topics like market trends or academic studies can take hours. Claude’s AI now handles this in under an hour, offering:

Dr. Elena Torres, AI researcher at Stanford’s Human-Centered AI Institute, notes:

“Extended runtime allows Claude to mimic human-like research depth, but users must treat it as a drafting assistant, not a final authority. Cross-checking remains critical.”


AI And Claude

Putting Claude’s Research Skills to the Test

We asked Claude: “Who invented video games?” In 13 minutes, it generated a detailed report crediting Ralph Baer (1960s prototypes) and Nolan Bushnell (1972’s Pong), citing sources like the Smithsonian and IEEE Annals.

The catch?

This aligns with a 2024 MIT Technology Review study finding that 68% of AI-generated reports contain “minor confabulations”—plausible but inaccurate details.


New Integrations Boost Workplace Efficiency

Beyond research, Claude now connects to 10+ tools via Model Context Protocol (MCP), including:

“Integrations let Claude act as a central hub for data,” says Mark Chen, CTO of SaaS analytics firm DataStream.

“However, enterprises need strict access controls. AI shouldn’t have unrestricted API permissions.”

Anthropic plans to add Stripe and GitLab support by late 2025.


Should You Trust AI-Generated Reports?

While Claude’s research mode impresses, experts urge caution:

  1. Verify every citation: Use tools like Internet Archive’s Wayback Machine to confirm source validity.

  2. Limit sensitive queries: Avoid feeding proprietary data until MCP security audits conclude.

  3. Combine with human analysis: A 2025 Pew Research study found teams using AI + human checks reduced errors by 41% versus AI-only workflows.

As AI ethicist Dr. Priya Rao warns:

“Confabulation risks grow with runtime. Longer analyses mean more opportunities for AI to ‘fill gaps’ incorrectly.”


Who Gets Access? Pricing and Availability


The Bottom Line

Claude’s upgrades make it a powerhouse for researchers and enterprises, but its outputs require scrutiny. For experts who can separate fact from fiction, it’s a time-saver. For others, it’s a high-tech starting point—not a finish line.

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