The conversation around artificial intelligence in journalism often begins with the wrong question:
Will AI replace journalists?
It's a question that appears in classrooms, conference panels, newsrooms, and social media discussions.
But after spending the last year studying journalism, reporting stories, and now building technology/a platform for journalists, I've come to believe we're asking the wrong question.
The better question is this:
How can artificial intelligence help journalists become even better at what they already do?
That question stayed with me throughout my journey toward earning a Master of Arts in New Media Journalism at Full Sail University.
Graduate school challenged me in all the ways I expected. I learned how to research more deeply, interview with greater purpose, fact-check more carefully, and strengthen my storytelling. Every assignment reinforced the responsibility journalists have to pursue accuracy, context, and fairness.
What surprised me wasn't the work itself.
It was the workflow surrounding it.
Like many journalism students, I found myself moving between multiple applications to complete a single story.
Using an external recorder to record interviews or simply extracting the audio from a video.
Using a software or platform for transcription.
Another for research (which is expected).
Another for writing & editing.
Another for organizing files.
Another for communicating with sources.
Another for pitching editors.
Another for publishing.
None of those tools were inherently bad.
Many of them were excellent.
But together they created a workflow that often felt scattered.
As I began speaking with freelance journalists, independent writers, and content creators, I found that many described similar experiences. Every journalist develops a workflow that fits their needs, but those conversations reinforced something I had been experiencing myself: producing a story often meant navigating a collection of disconnected tools rather than working within a single environment.
Eventually I stopped asking myself how I could become a better journalist.
Instead, I started asking another question.
Why isn't there one place where a story can move from the first interview to publication while allowing journalists to remain focused on reporting?
That question stayed with me long after graduation.
It became the foundation for Convrse.
Not because I believed journalism was broken.
Quite the opposite.
I believe journalism is evolving.
Every generation of journalists has adapted to new technologies, changing audiences, and different ways of telling stories. If journalism continues to evolve, I believe the tools supporting journalists should evolve alongside it.
For me, this was never about creating another technology product.
It was about exploring whether technology could better support the work journalists already do without replacing the values that make journalism meaningful.
Before I could explain what Convrse was becoming, I first needed to understand what journalism itself was becoming.
That journey eventually changed the way I thought about artificial intelligence.
Journalism Has Always Evolved:
Journalism has never been static.
Its history is one of continuous adaptation.
From the printing press to radio, from television to the internet, and from mobile devices to social media, every generation of journalists has learned to navigate new technologies that reshaped how stories were gathered, produced, and shared.
Artificial intelligence represents another step in that continuing evolution, not its replacement.
Watch: A New Era of Journalism
Artificial intelligence is already reshaping how news is researched, verified, and delivered. Before we continue, take a few minutes to watch this video, which explores many of the same questions journalists and educators are asking about AI's role in the newsroom.
Video Curtesy of France 24 English YouTube channel.
Research examining AI in journalism describes its evolution as part of journalism's broader relationship with digital technologies and computational tools. Over time, AI has expanded from supporting routine reporting tasks to assisting with data analysis, investigative reporting, large-scale information processing, personalization, and other newsroom workflows that improve efficiency and free journalists to spend more time on the nuanced work of storytelling. At the same time, scholars consistently emphasize that human judgment, ethical decision-making, context, and empathy remain essential to producing high-quality journalism.
That perspective matters because it shifts the conversation away from fear and toward responsibility.
Technology has changed journalism before.
It will continue changing journalism in the future.
What has remained remarkably consistent is the role of journalists themselves.
The most impactful stories rarely come from having the newest software or the fastest computer.
They begin with curiosity.
They grow through careful reporting.
They depend on trust between journalists and the people willing to share their experiences.
Those qualities cannot be downloaded or automated.
That distinction became central to how I began thinking about both journalism and Convrse.
I wasn't looking for technology that could replace journalists.
I was looking for technology that respected the work journalists already do and gave them more time to do it well.
AI Isn't the Journalist. It's the Assistant:
Caption: AI in Journalism: Benefits and Challenges. AI offers new tools for reporting while raising concerns around bias, misinformation, transparency, and ethics. Source: Adapted from Salgado, AI in Journalism.
One of the most common conversations surrounding artificial intelligence focuses on whether machines will eventually replace journalists. It's a reasonable question. As AI continues to evolve, news organizations, universities, and journalists themselves are exploring what these technologies mean for the future of the profession.
But after studying journalism, researching AI, and speaking with fellow journalists throughout the development of Convrse, I've come to see the conversation a little differently.
For me, artificial intelligence isn't most valuable because it can generate words.
It's valuable because it can give journalists something that's increasingly difficult to find:
More time to practice journalism.
That distinction matters.
When I think about AI, I don't immediately think about writing articles.
I think about everything that happens before an article is ever published.
Preparing for interviews.
Reviewing public records.
Organizing research.
Sorting through hundreds of pages of notes.
Finding patterns in information.
Verifying facts.
Those responsibilities are essential to journalism, but they can also be incredibly time-consuming.
If technology can reduce some of that administrative burden, journalists gain something much more valuable than efficiency.
They gain more opportunities to report.
That doesn't mean AI should make editorial decisions.
It doesn't mean it should determine what stories deserve attention.
And it certainly doesn't mean it should replace the relationship between a journalist and the people whose stories they tell.
Those responsibilities remain deeply human.
Researchers examining AI in journalism consistently argue that human judgment continues to play an indispensable role in ethical decision-making, contextual interpretation, investigative reporting, and meaningful storytelling. While AI can process information quickly, it still lacks the lived experience, empathy, and ethical reasoning required for many journalistic decisions.
That's why I don't see AI as the journalist.
I see it as an assistant.
A remarkably capable assistant.
But an assistant nonetheless.
The Foundation for Convrse:
By the time I graduated from Full Sail University, I wasn't thinking about starting another technology company or some would call it a social media platform.
I was thinking about journalists.
More specifically, I was thinking about the conversations I'd had with freelancers, writers, photographers, and independent storytellers who described navigating multiple applications throughout the reporting process.
Those conversations, combined with my own experience, continued bringing me back to the same question:
Could technology better support journalism without changing what makes journalism valuable?
That question became the foundation for Convrse.
Not because I believed journalism needed to become more automated.
But because I believed journalists deserved technology intentionally designed around the way they already work.
As I continued researching AI, I found that many scholars weren't advocating for replacing journalists either. Instead, they emphasized AI literacy—helping journalists understand both the capabilities and limitations of artificial intelligence while encouraging thoughtful, ethical adoption throughout the reporting process.
That idea resonated with me.
Technology should support journalists.
Journalists should guide technology.
Not the other way around.
My goal has never been to create software that tells journalists what to write.
It's to create an environment where technology quietly supports the reporting process while allowing journalists to remain focused on the people and stories that matter.
For me, that's an important distinction.
Journalism has always been about serving the public, the voices!
Technology should serve that mission—not redefine it.
Why Journalism Still Needs Human Voices:
Artificial intelligence can recognize patterns.
It can summarize information.
It can organize research.
Increasingly, it can even generate coherent drafts from structured information.
But journalism has never been defined solely by the ability to produce words.
It's defined by credibility.
Accountability.
Judgment.
Trust.
Those qualities develop through relationships, experience, and ethical decision-making.
They're earned.
Research on AI and journalism repeatedly returns to this idea. While AI is expected to become more sophisticated and more deeply integrated into newsroom workflows, scholars continue to emphasize that human journalists remain essential for investigative reporting, ethical reasoning, narrative development, contextual understanding, and maintaining public trust.
That's encouraging to me.
Because it suggests the future of journalism isn't a choice between people and technology.
It's about learning how each can contribute where they're strongest.
Artificial intelligence can help us process information.
Journalists help communities understand what that information means.
Those aren't competing responsibilities.
They're complementary ones.
The Future Belongs to Journalists:
When people eventually discover Convrse, I hope they don't simply see another piece of technology.
I hope they see a reflection of a belief.
That journalism continues to matter.
That thoughtful reporting still changes lives.
That human stories deserve human storytellers.
Artificial intelligence will almost certainly continue changing how journalism is practiced. Universities are expanding AI education, researchers are calling for stronger AI literacy among future journalists, and news organizations continue exploring responsible ways to integrate these tools into their reporting workflows.
I believe that's something journalists should embrace—not because AI has all the answers, but because understanding new tools has always been part of our profession.
The challenge isn't deciding whether AI belongs in journalism.
In many ways, it's already here.
The challenge is deciding how we'll use it.
My hope is that we choose to use it in ways that strengthen curiosity.
Encourage accountability.
Protect integrity.
Support ethical reporting.
And give journalists more time to do what no technology can do on its own:
Listen carefully.
Ask thoughtful questions.
Earn trust.
Tell stories that matter.
Because journalism isn't being replaced.
It's being reinvented.
And I believe its next chapter will still be written by journalists.