As economic pressures intensify and competition stiffens, companies across industries are rapidly deploying artificial intelligence (AI) agents as digital workers to automate tasks, trim payroll costs, boost efficiency, and scale operations at unprecedented speed.
AI-powered automation is fast becoming a central pillar of corporate cost-reduction strategies, reshaping productivity models, profit margins, and employment structures.
Sadiq Mohammed, a Nigerian telecommunications analyst, said AI is increasingly being viewed as a cost-cutting lever by corporates, but urged a more nuanced conversation around its deployment.
“AI will reshape work,” Mohammed said. “The real winners will be organisations that deploy it to empower people, not eliminate them.”
“Most of the headlines focus on job replacement, but the real impact is on tasks, not entire professions. AI automates specific, repetitive, and rules-based activities, not the full complexity of human jobs,” he stated.
He cautioned that while profit margins may improve in the short term, excessive reliance on automation risks eroding institutional knowledge, critical thinking, and essential human oversight.
“The smarter path is augmentation, not replacement. Workers who learn how to deploy AI to eliminate the tedious parts of their jobs become more productive and more valuable,” he said. “Organisations that invest in human capability enhanced by AI will achieve sustainable productivity gains, not just temporary cost cuts.”
Segun Cole, chief executive officer of Maasai VC, said companies have moved far beyond basic chatbot deployments, as a new wave of ‘agentic AI’ begins to automate entire business workflows.
“We’ve moved beyond chatbots. Agentic AI is now automating end-to-end processes across underwriting, audits, and supply chains, delivering as much as a 40 percent boost in employee output,” Cole said.
He noted that AI-driven software development is also transforming product cycles, enabling firms to ship products up to four times faster and converting research and development from a traditional bottleneck into a high-speed engine for innovation.
Speaking on employment, Cole said artificial intelligence is rapidly reshaping corporate structures and labour markets.
“By the end of 2026, about 20 percent of organisations will use AI to flatten their hierarchies, eliminating up to half of middle management roles that mainly focused on coordination.
“At the same time, workers with strong AI fluency are commanding wage premiums of between 23 and 56 percent, while entry-level hiring continues to shrink as routine tasks become automated by default,” he said.
“The CEO’s job is no longer just to adopt AI; it is to architect a company that cannot function without it. If AI is still treated as an add-on in your budget, you’ve already lost the decade,” Cole stated.
Adedayo Akande, specialist solutions architect at 54pay Technologies, said AI adoption is being driven primarily by the pursuit of higher productivity, faster time-to-market, improved reliability, and stronger engineering outcomes.
“Some roles will inevitably become obsolete, but AI will also create new jobs and enable people to become more skilled across multiple domains,” he said.
He stated that tools such as ChatGPT, Gamma, and Canva have drastically lowered the barriers to productivity, creativity, and learning, empowering individuals and businesses to do more with fewer resources.
“Small businesses can now achieve high productivity and healthy margins with leaner teams,” he said. “While AI has downsides, its upside is in efficiency, accessibility, and innovation which is far greater.”
The rise of digital workers
AI agents are autonomous software systems capable of executing multi-step tasks without continuous human supervision. They are increasingly embedded into corporate workflows across customer service, research, accounting, human resources, logistics, marketing, and even journalism.
At the Consumer Electronics Show (CES) in Las Vegas in January 2026, Bob Sternfels, global managing partner of McKinsey & Company, revealed that the consulting giant now operates a hybrid workforce of about 40,000 human employees and 25,000 AI agents.
According to Sternfels, these agents generated 2.5 million charts in six months and saved 1.5 million hours in research and synthesis tasks, enabling consultants to focus on higher-value strategic work. McKinsey now aims to assign at least one AI agent to every employee to boost productivity and reduce operational costs.
Similarly, Microsoft has rolled out autonomous AI agents often described as digital workers across its Microsoft 365 ecosystem. First unveiled at Ignite 2024, these tools automate workflows in sales, finance, customer service, and supply chain management, dramatically reducing manual workloads.
In the media sector, The Washington Post recently laid off nearly one-third of its workforce as part of a restructuring strategy tied to automation and AI-driven newsroom workflows, according to The Wall Street Journal. Publishers facing declining revenues and falling digital traffic are increasingly turning to AI to remain financially viable.
McKinsey estimates that generative AI and agent-based automation could unlock between $2.6 trillion and $4.4 trillion in annual productivity gains globally, largely by automating repetitive cognitive tasks and accelerating decision-making.
Research further shows that AI agents can automate 60 to 70 percent of tasks in roles involving documentation, data analysis, research, and customer support, delivering substantial cost savings and operational scale.
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At McKinsey, over 75 percent of employees now use internal AI tools to generate reports, presentations, and research, which sharply reduces reliance on junior analysts traditionally responsible for such tasks.
Nigeria’s cautious but growing adoption
In Nigeria, adoption is gaining momentum across banking, fintech, e-commerce, manufacturing, and recruitment.
A Microsoft-backed workforce study shows that Nigerian firms are increasingly embracing human–AI hybrid teams to bridge talent gaps, boost productivity, and manage labour costs, particularly in customer service, marketing, and data operations.
Major corporates, which include Dangote Group and Nigerian Breweries, are deploying AI-driven recruitment, chatbots for onboarding, and IoT-based analytics to enhance workforce efficiency, reduce hiring costs, and streamline operations.
These platforms facilitate faster candidate screening, 24/7 employee support, and improved performance management, reflecting a broader digital transformation in the Nigerian corporate sector.
Banks such as Access Bank have integrated AI-driven onboarding and fraud detection tools, significantly reducing processing times and operational expenses.
Access Bank has heavily invested in AI-driven technologies to enhance operational efficiency and security, resulting in significant improvements in fraud detection and customer service, including a 73 percent drop in fraud-related losses in 2024.
The bank has deployed AI for real-time transaction monitoring, biometric authentication via ‘FacePay’ and advanced, automated, and secure onboarding processes. FacePay refers to multiple, distinct, AI-driven, facial-recognition payment systems designed to facilitate secure, cardless, and cashless transactions.
Jumia Nigeria, an e-commerce giant, is using AI-powered logistics optimisation to streamline delivery routes, cut transport costs, and speed up fulfilment, according to SME Guide’s report, titled ‘Boosting Operational Excellence with AI-Based Business Process Automation in Nigeria.’
The initiative is helping Jumia overcome infrastructural bottlenecks while improving profitability.
AuroraWeb3, a fintech firm, quadrupled its revenue to N481 million within six months by leveraging AI to execute more projects with smaller teams, sharply reducing labour dependency per contract.
Jobs at risk
Despite productivity gains, the long-term impact on employment remains a growing concern as McKinsey Global Institute estimates that up to 40 percent of jobs in advanced economies are exposed to AI-driven automation, particularly roles centred on routine analysis, documentation, accounting, and customer support.
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In Africa, a joint Caribou–Genesis Analytics study, in partnership with the Mastercard Foundation, projects that 40 percent of business process outsourcing (BPO) and IT-enabled service jobs could be automated by 2030, threatening millions of entry-level roles.
This shift, driven by artificial intelligence (AI), puts millions of entry-level roles at risk, as AI tools such as ChatGPT and internal chatbots become capable of handling routine tasks such as data entry, basic customer service, and, to a lesser extent, AI data annotation.
A study by Mercor, an AI training firm, found that AI agents failed to complete more than 60 percent of real-world consulting tasks even after multiple attempts, raising concerns around reliability and contextual understanding.
Internal assessments at McKinsey similarly revealed that AI agents require heavy supervision, continuous training, cybersecurity monitoring, performance evaluation, and governance frameworks, adding operational costs that narrow expected savings.
As companies accelerate automation efforts, analysts say success will depend on balanced deployment strategies that blend AI efficiency with human judgment, rather than pursuing full-scale automation.
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