Why AI should enhance – not replace – your research team
Jinfo Blog

By Stephen Phillips

Abstract

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Can AI take over research functions, or is there a smarter approach?

We have recently published two articles:

• "What is AI reasoning and will it make AI driven research more relevant"
• "Should information teams pivot away from research?"

... that argue that instead of pivoting away from research, organisations should invest in AI-enhanced research teams.

Here are some highlights of why we believe this:

1. With AI - a little knowledge goes a long way.

AI makes mistakes and struggles with numeric data.

We find that AI tools are most useful (and valuable) for those that already know their subject.

Your team's expertise ensures accuracy and provides critical oversight.

2. AI enhances research.

Many teams use AI for data gathering, summarisation, and trend identification.

This creates capacity for your team to perform higher-value activities, enhancing their domain expertise and broadening their source knowledge.

3. Adapting to AI strengthens your team’s value.

By focusing on AI-human collaboration, data quality, and AI literacy, your team can provide customised insights that AI alone cannot.

Take Action

Rather than pivoting away from research, now is the time to evolve your team's role and increase their impact.

For a comprehensive range of practical ways to future-proof your team, read these new Jinfo Articles:

• "What is AI reasoning and will it make AI driven research more relevant"
• "Should information teams pivot away from research?"

... or see the resources in the "Jinfo Focus on Artificial Intelligence".

All our resources are available in the Jinfo Subscription. To discuss getting the benefits, please get in touch.

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