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The Emergence of Artificial Intelligence (AI) and Challenges of Modern Newsrooms: Implications for Nigerian Journalists

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By Felix Elele 

The emergence of artificial intelligence (AI) and machine learning (ML) is one of the outcomes of the digital disruptions of this era. The disruptive effects of sundry technological innovations such as virtual reality, artificial intelligence and blockchain have changed all facets of human endeavour and the creative industry is not an exception.

The impact of these disruptive technologies on the creative industry is an area of growing interest to media practitioners. One segment of the creative economy that has integrated AI into its creation process is journalism. It serves as a model of how technology could be applied to various forms of creative expression in the future.

It is no more news that the advent of the internet has revolutionised the way every facet of life operates globally including the practice of journalism.

Accordingly, media organisations are strategizing on how to navigate the threats posed by the emergence of AI and reposition themselves to take advantage of the opportunities. It is inherent that with the help of AI programs, the art of storytelling is becoming more and more scientific.

Hadi Rashedi, Ku Leaven and Hossen Mosalapoor in their paper titled “Exploring the future of modern journalism with artificial intelligence”, stated that AI software developers are using their extensive knowledge of linguistics and natural language to explore narrative and turn data analytics insights from data silos into digestible narratives in seconds.

This has ushered a new era and paradigm shift in journalism practice known as Robotic Journalism. They further posited that Robotic Journalism is based on two pillars: computer software that automatically extracts new knowledge from huge data silos and algorithms that automatically convert this knowledge and insights into readable stories without human intervention.

In this new era, commercial firms have AI algorithms that write thousands of journalistic reports without humans. For obvious economic and business strategy reasons, the adoption of robot journalism is rapidly growing and will be a disruptor in the journalism practice, as it is known today.

Recent developments have shown that efficient new robot journalists will challenge traditional journalists. Aside from significant personnel cost reductions, these robot journalists are factual, are never fatigued, and are free of bias if programmed objectively.

Christoph Trattner and his team in an article titled “Responsible media technology and AI: challenges and research directions” published in 2021 have argued that new competition in the media industry is an undeniable fact and an inevitable effect of the disruptive effects of digitalisation and new economic models.

They argue that traditional media outlets and their long-standing editorial practices are losing ground to up-and-coming firms that have successfully filled a niche in the media market by anticipating and targeting specific consumer demands.

For instance, fnn.no has become Norway’s primary classified ads platform, a sector previously dominated by traditional media; Twitter has become a major debate platform, bypassing traditional media; Facebook appears to provide far more insight into people’s lives than the personals sections of newspapers ever did; and Netflix, HBO, Twitch, TikTok, and YouTube challenge the commercial and public broadcasters’ positions.

Facebook aggregates material and services more efficiently than the media due to its use of user-curated content and predictive content personalization. These enormous platforms now distribute content, while traditional media companies have evolved into content providers for these platforms, similar to anyone with a smartphone.

The New York Times, The Los Angeles Times, The Associated Press, Forbes, and ProPublica have initiated the automation of news content.  Though the technology is still in its infancy on the market, automated journalism has made its way into newsrooms and is likely to remain.

The use of AI in journalism has provided opportunities to automate reporting and has helped to rapidly expand coverage; the Associated Press was able to expand the number of companies it reported. It also provides faster insights and the ability to spontaneously provide real-time data for the outlines of a story in seconds, unlike human reporters. In addition, it can reduce the human element in the content-creation process.

In his research on the subject, “Guide to Automated Journalism”, Andreas Graefe stated that the increasing availability of structured data and news organizations’ desire to both reduce costs and increase the quantity of news are some of the primary drivers of automated journalism.

This is because algorithms can generate news more quickly, on a larger scale, and potentially with fewer errors than human journalists. It can use the same data to tell stories in multiple languages and from various perspectives, thus tailoring them to the preferences of each individual reader.

Equally, they have the capacity to generate news on demand by generating stories in response to users’ data-related queries. On the other hand, he argued that the disadvantage of algorithms is that they rely on data and assumptions, both of which are susceptible to bias and error.

As a result, algorithms may generate unanticipated, unintended, and erroneous results. They are unable to pose questions, explain novel phenomena, or establish causality, limiting their capacity to observe society and perform journalistic duties such as orientation and opinion formation.

In looking at the pros and cons, some journalists may see the new robot journalists as a serious threat to their career and means of livelihood, while some forward-thinking journalists will view this potential threat to journalism as a tool for more efficient delivery.

For proactive practitioners, the robot journalists will free them from engaging in sometimes dangerous and costly investigations. The bot will also provide them with an automated draft of a story, which they will then revise and enhance with their in-depth analysis, perspectives, and storytelling skills.

With advancements in micro-data technology, it will be challenging for human journalists to compete in this ecosystem of automatic data collection and writing without advancing their skill set. In the nearest future, there is the possibility that career professions in the media will experience a paradigm shift.

It is envisaged that Data managers and AI software engineers may become key players in the journalism profession as employees of media organizations and potential newsroom leaders in the emerging media practice.

Notwithstanding the above, human journalists still have important roles and competitive advantages over robot journalists – but they must fully understand those limitations and retool their skills, competencies and abilities to reposition their mode of operation to take advantage of the opportunities.

Andreas Graefe has argued that Journalists whose work consists of covering mundane themes may be displaced by automated journalism, but the advent of news-generating algorithms may also lead to the creation of new employment opportunities. For instance, a robot journalist cannot be a watchdog over democracy and human rights.

Consequently, there is a likelihood of collaboration and integration of human and automated journalism to form a man-machine alliance. It is in the best interest of journalists to hone their skills and develop new ones in areas such as in-depth analysis, interviewing, and investigative reporting, which algorithms cannot execute. It is therefore pertinent that human journalists should understand and embrace the new rules of the game.

Going forward, media organisations and practitioners in developing countries and particularly in Nigeria must begin to change their perspective and espouse these new realities if they must remain relevant in the emerging media space.

Otherwise, the mega and evolving media practice propelled by AI will lead to the extinction of some media practitioners and operators in line with Charles Darwin’s theory of natural selection. The time to act is now as AI has the capacity to transform the digital space in ways that seem unimaginable.

Regarding Nigeria journalism practice in the age of robot journalism, Desmond Onyemechi Okocha and Roxie Ojoma Ola-Akuma stated in their study “Investigating Robot Journalism, National Security and the Future of Military-Media Relations in Nigeria” that media practitioners are still unfamiliar with the concept of robot journalism technology.

They urged media organizations and journalists to acquire the skills necessary to implement and adapt to global strategies for gathering, packaging, and disseminating news and other pertinent information to the public.

In addition, journalists must make editorial and ethical decisions, which could pave the way for the adoption of automated journalism, as robots lack emotions and can only implement pre-programmed ethics. In addition, media organizations should be adaptable and train their employees in online journalism, while the government should facilitate the continuous flow of information. On the other hand, Nigerian training institutions should include robot journalism and military news coverage in their curriculum.

Felix Elele wrote from Abuja, Nigeria. 


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FG Faults AfDB’s Adesina on Nigeria’s GDP Per Capita Figures

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The Presidency has faulted claim of Akinwumi Adesina, president, African Development Bank (AfDB),  on the current Nigeria’s Gross Domestic Product (GDP) per capita figures versus the level it was in 1960 when Nigeria attained independence.

FG Faults AfDB's Adesina on Nigeria's GDP Per Capita Figures

Akinwumi Adesina, president, African Development Bank

The outgoing AfDB President had in a recent viral statement claimed that Nigerians are worse off today than in 1960 when Nigeria’s GDP per capita was $1847..

The AfDB President claimed that in contrast to the level of the GDP per capita at Nigeria independence, the country’s current GDP stands at $824 today, a reflection of the current rampant poverty and low human development in the country.

But in a rebuttal of the claim, the presidency, in a statement by Bayo Onanuga, the spokesperson to President Bola Ahmed Tinubu accused the AfDB President of failure to carry out proper research and speaking like a politician in his assertions.

“Adesina spoke like a politician, in the mould of Peter Obi and did not do due diligence before making his unverifiable statement,” the presidency said while faulting the claim of the AfDB President.

While countering the claim of Adesina, the presidency noted in the statement that available data indicated that Nigeria’s GDP was $4.2 billion in 1960, and per capita income for a population of 44.9 million was $93, not even one hundred dollars.

“Our country’s GDP did not rise remarkably until the 1970s, when crude earnings ballooned. In 1970, our GDP rose to $12.55 billion. In 1975, it was $27.7 billion, $64.2 billion in 1980, and $164 billion in 1981. Up until 1980, per capita income did not exceed $880. It rose to $2187 in 1981 and dropped to $1844 in 1982. In 2014, after rebasing, it reached an all-time high of $3,200.

“These facts raise questions about the source of Dr Adesina’s figures,” Onanuga said.

However, the presidency also faulted the AfDB President, a former Nigerian Minister of Agriculture of making inferences on the state of poverty or human development in Nigeria solely based on the GPD per capita numbers. .

“Dr Adesina should know that GDP per capita is not the only criterion used to determine whether people live better lives now than in the past. Indeed, it is a poor tool for assessing living standards.

“Its primary usefulness is in giving us the metrics to compare economic output in a country or between countries.

“GDP masks many activities in a country’s economy. It neither discloses wealth distribution or income inequality nor accounts for the informal economy, which experts have said is enormous. It does not account for subsistence farming or income transfer from one family member to another,” the presidency said.

The Presidency also noted that GDP per capita is not reflective of the fact that Nigerians in 2025 have better access to healthcare, education, and transportation, such as rail and air transport, than in 1960.

“This premise alone suggests why Dr Adesina should not have arrived at his conclusion.

“Compared with 1960, Nigeria today has more primary, secondary, and tertiary schools.

“We have more road networks and more medical facilities, private and public. We have phenomenal access to telephones.

“At Independence, we had 18,724 operational phone lines for a population of about 45 million. Over 200 million Nigerians now enjoy near-universal access to mobile phones and digital services, indicating we are better off today than 65 years ago.”

Furthermore, the presidency noted that Nigerian policymakers know that whatever GDP figure NBS publishes may not capture our economy’s full depth and breadth as it usually excludes the greater part of the informal economy, which some pundits have said may even be more significant than the formal economy.

“This underscores why Dr. Adesina should have considered all aspects of our economy before concluding.”

“When Vodacom, a telecommunications company, considered entering the Nigerian market in 1999 or 2000, its consultants, using the available GDP metrics, advised against it.

“They believed that Nigerians were too poor to afford GSM services. However, MTN and other companies that entered the market later proved them wrong, demonstrating that GDP figures alone do not provide a complete picture of a country’s economic potential or the living standards of its people.

“MTN and other adventurers came later, and they laughed all the way to the bank. More than 20 years later, they are still laughing despite some setbacks in 2023 and 2024. In its first-quarter results this year, MTN declared revenue of N1 trillion and an increase of 8.2 percent in subscriptions, which took the number of its voice and data users to 84 million. Does this MTN experience correlate with a country worse off than in 1960, when we had analogue telephones and the number of lines was fewer than 20,000?

“No objective observer can claim that Nigeria has not made progress since 1960. Today, as we await the NBS’s recalibration of our GDP, we can comfortably say without contradiction that it is at least 50 times, if not 100 times, more than it was at Independence.”

 

 

 


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SeamlessHR, AOPN Push Payroll Innovation for Nigeria’s Outsourcing Growth

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Nigeria’s outsourcing industry, valued at approximately $980 million in 2023 and projected to exceed $1.8 billion by 2028, is at a pivotal moment. Despite an impressive annual growth rate of 12.56 per cent, the sector is weighed down by financial inefficiencies. Thin margins, inconsistent client payments, and outdated payroll systems have created conditions where salary delays are frequent and talent attrition is on the rise.

Across the industry, many workers now view delayed wage disbursements as normal, with employees often waiting weeks or even months to be paid. For outsourcing firms, the consequences extend beyond cash flow. Delayed salaries damage brand perception, undermine operational efficiency, and threaten long-term growth. The urgency for innovation in payroll and financial operations has never been greater.

In response, SeamlessHR, Africa’s leading human resource and payroll technology company, in partnership with the Association of Outsourcing Professionals of Nigeria (AOPN), convened over 30 CEOs and managing directors from Nigeria’s top outsourcing firms on Thursday, April 30, 2025. Hosted at Four Points by Sheraton, Victoria Island, the high-level roundtable focused on transforming financial operations across the sector.

Themed “Enhance Business Efficiency Through Automation and Immersive Workflows,” the session spotlighted how intelligent financial infrastructure, fully integrated within HR and payroll systems, can drive business continuity, and improve employee satisfaction.

Key industry leaders in attendance included David Asama Dogeni, Senior Vice-President of Technology, UAC Group; Adebola David, Group Head, Human Capital at Halogen; Victor Adebayo, Chief Executive Officer, Diversity Talent Management Ltd; and Oke Egbi, Director, Embedded Finance, SeamlessHR. Also present were leading outsourcing firms such as Resource Intermediaries Ltd, Phillips Outsourcing Ltd, Workforce Group Ltd, Tribest Corporate Support Ltd, HR Indexx Ltd, among others. Together, they explored how the convergence of financial technology and workforce automation is emerging as a critical advantage for progressive businesses navigating economic uncertainty.

Speaking at the event, the President, Association of Outsourcing Professionals of Nigeria (AOPN), Mope Abudu, said, “This roundtable addresses a critical challenge in our industry. As key contributors to Nigeria’s economy, we cannot afford to be left behind in the wave of digital transformation shaping the future of work. The outsourcing sector must lead in efficiency and innovation, and the integration of intelligent systems that support workforce management. Today’s theme speaks directly to that need. By exploring solutions like embedded finance, we open new opportunities to enhance value delivery and improve operational efficiency across our industry. I extend my gratitude to SeamlessHR for bringing this event to life.”

A key focus of the discussion was the transformative impact of SeamlessHR’s Embedded FInance for employers and employees. SeamlessHR’s solution enables workers to access earned wages on-demand, bypassing the traditional pay cycle. Through seamless integration with payroll systems, employees can withdraw accrued earnings in real-time to address emergencies or manage cash flow gaps. Additionally, low-interest salary advances and built-in financial tools empower staff to avoid exploitative lenders and plan their finances with confidence.

For employers, the benefits are equally compelling. The solution provides up to ₦1 billion in payroll credit while offering bulk disbursement capabilities, enabling seamless salary payments for entire workforces at once. Tailored to Nigeria’s outsourcing realities, It eliminates reliance on external loans and equips companies with real-time access to funds, making salary payments faster, more efficient, and more transparent This financial infrastructure not only stabilizes businesses but restores worker trust, a critical factor in an industry where talent retention is of great importance.

“Outsourcing companies face daily liquidity issues, irregular cash flow, and growing payroll obligations,” said Oke Egbi, Director, Embedded Finance, SeamlessHR. “SeamlessHR’s Embedded Finance closes that gap by integrating capital into the payroll system to ensure people get paid on time, operations run seamlessly, and CEOs sleep better at night. When employees no longer stress about delayed salaries, their engagement and output improves dramatically. ”

The partnership between SeamlessHR and AOPN signals a shared commitment to transforming Nigeria’s outsourcing sector through smarter, more efficient financial systems. By combining SeamlessHR’s embedded finance solution with AOPN’s industry reach, the collaboration delivers a scalable model that boosts competitiveness, simplifies workforce operations, and supports sustainable growth.


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How Investments in Reskilling and Trust Help Businesses Succeed in the Agentic AI Era

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Linda Saunders
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The ascent of agentic AI, systems that can perform tasks without human intervention, represents not just an incremental technological advancement but a fundamental reshaping of the business landscape. The possibilities for enhanced productivity and innovation are immense. Using AI agents, businesses around the world are unlocking a piece of the potential $6 trillion digital labor market opportunity.
Linda Saunders

Linda Saunders

Businesses that fail to adopt agentic AI, however, risk disruption by competitors or savvy upstarts. This demands a proactive and strategic response from leaders. In this new era of human-AI collaboration, leaders must center their efforts around two key pillars: large-scale employee reskilling and establishing a trustworthy AI ecosystem.

Reskilling for the agentic AI era

With just 15% of workers saying that they have the education and training necessary to use AI effectively, reskilling must be a priority for every business leader.

Employees must be given access to learning opportunities so they can adopt human-AI collaboration skills, including a foundational understanding of agentic AI and prompt engineering — a way to provide clear and effective instructions to AI systems.

Consider, for instance, the evolving role of developers. With AI agents capable of handling routine coding, developers can focus on bigger-picture tasks like system design and future planning.

According to Salesforce’s latest State of IT survey of software development leaders‌, more than nine in 10 developers are excited about AI’s impact on their careers, and an overwhelming 96% expect it to change the developer experience for the better. More than four in five believe AI agents will become as essential to app development as traditional software tools, the survey found.

In addition to technical abilities, cultivating human and business skills is vital for fostering a trusted environment where teams feel comfortable experimenting with AI. And, as every employee increasingly manages individual or even teams of agents, developing basic managerial skills across the workforce will become increasingly important.

Identifying the skills is just the first step. To succeed in the agentic AI era, businesses need to develop a comprehensive strategy that incorporates these skills into their workforce plan. This includes setting clear, measurable goals and actively tracking progress.

Managers need to provide active guidance and support to employees throughout this transformation, ensuring the workforce remains relevant and engaged.

Adopting trusted AI across the ecosystem

As the capabilities of agents grow, so too does the responsibility to manage ‌associated risks. It’s imperative to ensure these systems are fair and prevent stereotypes or alienation. The very qualities that make AI transformative can also lead to biases and erode trust if not managed.

To fully harness the potential of agentic AI, businesses must prioritize trust and safety at every stage of development and deployment. This means implementing strong security measures and adhering to ethical AI practices to safeguard data and ensure responsible use.

Guardrails for AI agents can be established using natural language topics and instructions specifying when an agent should escalate or transfer a task to a human. Concerns around data privacy and potential biases must be proactively addressed through strong data protection protocols and transparent communication.

Equally important are tools that foster transparency and empower users to make informed decisions regarding task delegation to AI. Employees need a clear understanding of the capabilities and limitations of the AI agents they collaborate with, alongside having control over the tasks being automated.

A key feature of Agentforce is its capacity for autonomous operation within specifically defined guardrails. This means that while ‌AI agents can operate independently, making decisions and taking actions, they do so within boundaries established by human teams, ensuring alignment with business objectives and policies. The Einstein Trust Layer enables Agentforce to use any LLM safely by ensuring that no Salesforce data is viewed or retained by third-party model providers.

The power of reskilling and trust to drive innovation

The transition to an AI-powered future will bring challenges, particularly ensuring employees have access to the right infrastructure, high-quality data, and relevant skills.

However, by investing in reskilling and comprehensive training programs, organizations can empower teams to work effectively alongside AI agents, adapt to the evolving nature of work, and ultimately drive innovation in this age of digital labor.

Building a robust infrastructure that prioritizes trust and safety, and fosters transparency, will also be instrumental in mitigating disruptions and unlocking new opportunities for growth.

Ultimately, investing in both AI agents and human employees, and actively fostering their collaboration in a trusted way, will enable businesses to operate at scale and realize their full potential in the agentic AI era.


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