Artificial intelligence (AI) is changing how organisations operate, but it is not a universal job‑destroyer. Instead of eliminating entire professions, AI increasingly automates repetitive tasks and creates new roles requiring human oversight, judgment and creativity. Below is an overview of how customer support, accounting and content creation roles are evolving under AI – and why demand is rising for data engineers, product owners and ethics specialists.
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Customer support
Self‑service chatbots and virtual assistants now handle many routine customer queries. Studies note that these tools free human support staff from "repetitive tasks" so they can spend more time on "more complex cases where their empathy and know‑how are needed". Industry blogs point out that AI will not "wipe out customer support managers and customer service agents"; the technology is best used to work alongside humans. The goal is harmonious human‑AI collaboration, with automated systems handling simple questions, triaging issues and providing basic information, while human agents remain essential for empathy, problem‑solving and relationship building.
What may disappear
Entry‑level call‑centre tasks. Chatbots can now answer FAQs, process simple orders and reset passwords, removing the need for staff who only read scripts.
Manual ticket triage. AI tools automatically categorise and assign support tickets based on content, urgency or sentiment.
What will remain
Complex or sensitive interactions. Customers dealing with emergencies, billing problems or personal situations still expect human empathy and discretion.
Relationship management. Support agents will spend more time building long‑term customer relationships and upselling services.
Accounting and bookkeeping
Automation is reshaping accounting, but it isn't eliminating accountants. Research from the Stanford Graduate School of Business notes that AI and automation handle routine tasks such as bookkeeping and data entry, while "human judgment" remains indispensable for audits, tax strategy and valuations. A Coursera article updates this view: job displacement is a valid concern, yet "automating tasks such as data entry and bookkeeping is more likely to transform than replace the work accountants do"; human creativity, judgment and communication remain essential. Surveys show that 98 % of U.S. accountants used AI in 2024 and believe it will help them work more efficiently, yet they recognise the technology's limitations.
What may disappear
Manual bookkeeping roles. Software can automatically reconcile accounts, categorise transactions and prepare basic reports.
Basic tax preparation. AI can fill out forms and handle routine returns, especially for individuals and small businesses.
What will remain
Complex financial analysis and strategy. Advising on mergers, valuations and tax strategies requires human judgment and negotiation.
Client relationship management and advisory. Accountants will increasingly act as advisers, interpreting AI‑generated insights and helping clients make decisions.
Content creation and writing
Generative models like ChatGPT, Jasper or Copy.ai can generate short articles, marketing copy and product descriptions at scale. An Upwork report notes that AI writing tools "streamline repetitive tasks," speed brainstorming and save time, but they are "not a replacement for skilled human writers". While AI excels at speed, SEO and structure, it "struggles with emotional depth, brand voice and critical thinking," meaning that "human writers continue to lead". The same report emphasises that AI lacks the "depth, emotion, and nuance that come naturally to human writers"; areas like personal storytelling, empathy, humor, emotional nuance and integrity still require human involvement. For content central to a business, the report advises keeping a human‑in‑the‑loop to ensure accuracy and cultural sensitivity.
What may disappear
Low‑skill copywriting. AI can draft product descriptions, social media captions and simple how‑to guides, reducing the need for junior copywriters.
Initial research and summarisation. Generative tools quickly summarise sources and create outlines, automating early stages of writing.
What will remain
Original storytelling and opinion pieces. Nuanced narrative, satire and investigative work still demand human insight and critical thinking.
Editing and quality control. Professionals will review AI‑generated content for accuracy, tone and ethical considerations.
Growing demand: data engineers, product owners and ethics specialists
AI is not just automating tasks; it is also creating new roles. Statistics compiled by AIPRM show that the Data Engineer was the most popular AI‑related job in the United States in 2023, representing 23.8 % of AI job postings. Demand is also rising for data scientists, machine‑learning engineers and related roles. Aura's 2025 job market report notes that employers increasingly seek candidates with hybrid skills that combine technical expertise (e.g., data manipulation and training data development) and strategic capabilities like problem‑solving and decision‑making.
AI product owners/managers
As organisations integrate AI into products and services, leaders are needed to bridge technical and business perspectives. A 2025 career guide from Colorado State University explains that AI product managers define product goals, coordinate teams and ensure AI tools align with customer needs and business objectives. Because AI adoption is becoming a competitive differentiator, companies seek leaders who can deliver impactful solutions.
Ethics and responsible AI specialists
With AI being deployed across finance, education, healthcare and government, ethical considerations are no longer optional. Hiring Lab data show that mentions of Responsible AI roles in job descriptions rose from nearly zero in 2019 to 0.9 % of all AI‑related postings in 2025. The same analysis notes that occupations with the highest share of Responsible AI postings are legal, research & development, banking & finance and education, reflecting the need for specialists who develop frameworks to ensure fairness, privacy and transparency. Another career guide emphasises that AI ethics specialists monitor for bias and establish accountability measures; ethical AI builds trust with consumers and stakeholders.
Other emerging roles
In addition to data engineers, product managers and ethics specialists, the Colorado State University list highlights several AI‑related careers poised for growth:
Machine‑learning engineers – build and refine algorithms and models.
AI‑powered marketing strategists – use analytics and generative tools to personalise campaigns.
Data analysts with AI expertise – leverage AI tools to identify trends, predict outcomes and inform decisions.
Natural language processing specialists – design algorithms for voice assistants and translation.
AI trainers – teach AI systems via data labelling and refining outputs.
Conclusion
AI will continue to automate routine work, but it will not make entire professions vanish. Roles in customer support, accounting and content creation are evolving: machines handle repetitive tasks, while humans focus on empathy, strategy and creativity. At the same time, the technology is spurring demand for new jobs – from data engineers and AI product owners to ethics specialists – requiring interdisciplinary skills and a commitment to responsible AI. Adapting to these shifts will involve continuous learning and a willingness to embrace collaboration between humans and machines.
