Atex Reflection on “From Insight to Impact” – Hosted by Prospect Magazine, London

On 17 March, industry leaders gathered at the London headquarters of Prospect Magazine for a roundtable hosted by the Emerging Tech Network by Connectopia. The focus was clear and urgent: how AI is reshaping engagement in news and media.

At Atex, this is a question we’re actively exploring. Our team, including Tom York and Alberto Mari, joined peers from across editorial, product, data, and technology for an open and candid discussion, alongside partners Marfeel and Tickaroo.

What followed wasn’t a polished panel or a sales pitch. It was a focused, honest exchange on what’s working, what isn’t, and how AI is shaping the future of journalism and audience engagement.

Engagement Has No Universal Definition, And That’s the Point

A question that sounds simple, “What does engagement mean for you?”, opened a wide spectrum of answers:

• subscription depth
• social watch time
• time spent on page
• interaction rates
• even the moment a printed magazine lands on a doorstep

Each definition reflected a unique business model. Yet a shared theme emerged:

Engagement is no longer a metric; it’s a relationship.
A publisher’s challenge is to become part of someone’s life, not just another tab.

This shift aligns with what we see at Atex: publishers are moving beyond “traffic volume” and toward loyalty, habit, and human connection, supported, not defined, by AI.

Data Has Accelerated, But Strategy Still Requires Human Judgment

Participants agreed that AI has dramatically compressed the time needed for data analysis. Insights that once took weeks can now be surfaced in hours, accessible across teams rather than locked within specialist roles.

But a powerful reminder echoed across the room:

Data is a temperature reading, not a strategy.
AI can surface patterns. It cannot define editorial purpose.

The industry has spent years chasing whatever metric was most visible, clicks, reach, scrolls in depth, without always asking whether those metrics reflected meaningful value.

AI can accelerate this drift if leadership relies on dashboards instead of editorial clarity.
At Atex, this is exactly why our AI tooling is designed to support strategic decisions, making, not replacing it.

Learn More: “Powering the Audience-First Newsroom: How Platforms, AI and Data Connect.”

Buy vs Build: The Real Question Is “Do We Know What We Need?”

While many in the room leaned toward buying AI solutions rather than building them internally—because the technological curve is moving too fast—the group was equally honest about a recurring challenge:

• Tools are purchased without a clear understanding of their capabilities.
• Users aren’t always involved in procurement decisions.
• Technology ends up shaping strategy quietly, sometimes unintentionally.

The parallel with past industry behavior was hard to ignore:

Newsrooms once built their futures around search algorithms they didn’t own.
The risk of repeating that mistake with AI is very real.

This is precisely why Atex focuses on transparency, interoperability, and real newsroom workflows when designing AI capabilities.

The Hardest Part Isn’t Technology, It’s Culture

A candid conversation emerged about what happens inside teams when AI begins doing tasks people historically took pride in:

• summarising
• drafting
• data analysis
• content packaging

This isn’t a tooling problem. It’s a leadership responsibility.

How do you preserve meaning in journalistic work when processes change?
How do you ensure AI is used to give journalists more time for journalism, rather than to reduce quality or morale quietly?

There were no easy answers, but there was a shared recognition that culture, not technology, will determine AI’s long-term impact.

Learn More: “Meet MyType Assistant: Atex’s Breakthrough AI Tool for Journalists.”

What Actually Works: Trust, Connection, and the Long Game

Among the most uplifting threads was the evidence from organisations already seeing healthier forms of engagement:

• two-way relationships with communities
• reporters whom readers trust and recognise
• live blogs, local newsletters, and consistent dialogue
• slower, deeper formats that build loyalty, not just clicks

This reinforces something we at Atex believe strongly:

Engagement isn’t a growth hack; it’s earned proximity.
AI can help operationally, but trust is still built person-to-person.

Publishers that chased reach without community struggled.
Those that stayed close to their editorial identity and their audience are better positioned today.

What Atex Took Away from the Room

For Atex, the most energising part of this roundtable was not the agreement, it was the level of honest, grounded challenge in the conversation.

The people in that room weren’t looking for hype.
They weren’t in denial about AI, nor in a rush to automate their newsrooms.

They were asking the right questions:

• What problems should AI solve?
• Where does human judgment matter most?
• How do we protect independence and identity while adopting powerful technology?
• How do we make organisational change sustainable, equitable, and purposeful?

This is exactly the conversation our industry needs.

The collaboration between Atex, Marfeel, and Tickaroo throughout this event underscored something critical:

Independent technology partners can play a real role in helping publishers ask better questions, identify real friction, and adopt AI in ways that strengthen, not dilute, journalism.

A Final Word

AI is reshaping engagement, but not in the simplistic “automation solves everything” way that headlines often suggest.
It is reshaping workflows, expectations, cultural norms, and the relationship between journalism and its audience.

What will define the next decade is not the speed of technology, but the clarity of the decisions publishers make today.

At Atex, we are committed to supporting that clarity, not with buzzwords, but with practical, newsroom-ready solutions and honest industry dialogue.