Opinion: AI Will Not Eliminate Entire Industries But It Will Reshape Them

The conversation around Artificial Intelligence (AI) often swings between two extremes. Some predict mass unemployment and the disappearance of entire professions, while others believe AI will simply become another productivity tool with minimal disruption.

Reality will likely lie somewhere in between.

History suggests that major technological advancements rarely eliminate entire industries. Instead, they change how work is performed, shift the demand for skills, and alter the composition of the workforce. AI appears poised to follow the same path.

The key question for workers, students, business leaders, and policymakers is not whether AI will affect their industry, but how.

Before examining specific sectors, it is useful to understand the broader workforce trends already emerging across the economy.

1. Industries Likely to See Growing Demand

1.1 Construction and Infrastructure

Despite advances in automation, construction remains heavily dependent on human judgment, coordination, and physical site management.

Growing roles include:

• Project Managers
• Site Supervisors
• Safety Officers
• Building Information Modeling (BIM) Specialists
• Sustainability and Green Building Consultants

AI can assist with project planning, scheduling, and cost estimation, but it cannot fully replace supervisors who must manage workers, resolve on-site issues, enforce safety standards, and coordinate multiple contractors in real-world conditions.

1.2 Engineering and Technical Services

Engineering professionals will increasingly use AI as a productivity tool rather than view it as a replacement.

Growing roles include:

• Systems Engineers
• Automation Engineers
• Renewable Energy Engineers
• Robotics Specialists
• Maintenance and Reliability Engineers

AI can generate design options and analyse data, but engineers remain responsible for evaluating risks, making trade-offs, and ensuring designs perform safely in the real world.

1.3 Information Technology (IT) and Digital Services

Contrary to popular belief, AI is unlikely to eliminate the need for IT professionals. Instead, it is changing the nature of technology work by automating routine coding, testing, and support functions while increasing demand for higher-value technical expertise.

Growing roles include:

• AI Engineers
• Cybersecurity Specialists
• Cloud Architects
• Data Engineers
• AI Governance and Compliance Professionals
• IT Infrastructure Engineers
• Systems Integration Specialists

AI can generate code, identify software bugs, and automate routine technical tasks. However, businesses still require experienced professionals to design system architectures, manage cybersecurity risks, integrate complex technologies, and ensure critical systems operate reliably.

As AI adoption accelerates, demand for professionals who can implement, govern, secure, and maintain AI-powered systems is expected to grow significantly.

1.3(a) Job Functions Most Likely to Evolve in IT

Many traditional IT functions will become more productive through AI assistance.

Tasks increasingly supported by AI:

• Writing routine code
• Software testing
• Technical documentation
• System monitoring
• Basic troubleshooting
• Helpdesk ticket categorisation

Rather than replacing software developers, AI may allow developers to focus more on system design, business requirements, security considerations, and complex problem-solving.

Similarly, IT support professionals may spend less time handling routine password resets and repetitive user queries, and more time resolving complex technical issues and managing digital transformation initiatives.

1.3(b) Why Human IT Professionals Will Remain Essential

Even highly advanced AI systems lack full accountability and business context.

Examples of IT tasks that remain heavily dependent on human expertise include:

1.3(c) Cybersecurity Incident Response

When organisations face ransomware attacks, data breaches, or system compromises, experienced professionals must assess risks, make judgment calls, coordinate recovery efforts, and communicate with stakeholders under pressure.

1.4(d) Enterprise Systems Design

Large organisations operate complex ecosystems involving multiple applications, databases, cloud environments, regulatory requirements, and business processes. Designing and integrating these systems requires strategic thinking that extends beyond writing code.

1.3(e) Technology Governance and Risk Management

As AI becomes embedded in business operations, organisations will need professionals to oversee compliance, data privacy, ethical usage, security controls, and operational risks.

1.3(f) Stakeholder and Business Engagement

Technology projects frequently fail not because of technical limitations, but because business needs are misunderstood. IT professionals who can translate business objectives into technology solutions will remain highly valuable.

1.3(g) Additional Roles Most Vulnerable to Reduction

Within the IT sector, some highly repetitive functions may experience workforce reductions over time, including:

• Basic data processing roles
• Entry-level software testing functions
• Routine technical support activities
• Simple website development
• Standardised coding tasks

However, these reductions are likely to be accompanied by increased demand for professionals who can manage AI-enabled systems, cybersecurity, cloud infrastructure, and digital transformation projects.

1.4 Healthcare and Elder Care

Aging populations across many countries will continue driving demand for healthcare professionals.

Growing roles include:

• Nurses
• Caregivers
• Physiotherapists
• Medical Technologists
• Mental Health Professionals

AI can support diagnosis and administrative work, but empathy, patient communications, and hands-on care remain deeply human responsibilities.

1.5 Logistics, Transportation, and Supply Chain

Global supply chains are becoming more complex, increasing demand for professionals who can manage disruptions and coordinate operations.

Growing roles include:

• Supply Chain Managers
• Logistics Coordinators
• Customs Specialists
• Fleet Operations Managers
• Warehouse Automation Specialists

AI can optimise routes and forecast demand, but responding to unexpected disruptions, regulatory changes, and customer requirements often requires human intervention.

2. Job Functions Most Likely to Evolve

2.1 Corporate Administration

Administrative work will become more efficient through AI-driven automation.

Tasks increasingly handled by AI:

• Scheduling meetings
• Drafting routine correspondence
• Data entry
• Document organisation
• Basic report generation

However, executive support, stakeholder coordination, and confidential decision support will continue to require human involvement.

2.2 Finance and Accounting

AI can process transactions and generate reports faster than ever.

Tasks increasingly automated:

• Invoice processing
• Expense verification
• Reconciliation
• Standard financial reporting

Demand is likely to remain strong for professionals involved in financial planning, business advisory, risk management, compliance, and strategic decision-making.

2.3 Retail and Customer Service

Routine customer interactions will increasingly be managed by AI-powered systems.

Tasks increasingly automated:

• Frequently asked questions
• Order tracking
• Product recommendations
• Inventory monitoring

Human employees will remain valuable for handling complex customer situations, relationship-building, sales negotiations, and premium customer experiences.

3. Roles Most Vulnerable to Reduction

Rather than entire professions disappearing, the greatest impact is likely to be felt in highly repetitive, rules-based work.

Examples include:

• Basic data entry clerks
• Routine transcription roles
• Simple bookkeeping functions
• Standardised report preparation
• Basic customer support positions

These functions are well suited for automation because they follow predictable processes with limited need for judgment or creativity.

4. Job Tasks AI Cannot Easily Replace

While AI excels at processing information, many tasks still require human presence, judgment, adaptability, and interpersonal skills.

Examples include:

4.1 Construction Site Supervision

A site supervisor must assess safety risks, coordinate multiple trades, resolve conflicts, inspect workmanship, and make real-time decisions when unexpected issues arise. These responsibilities extend far beyond reviewing measurements or schedules.

4.2 Equipment Installation and Commissioning

Engineers and technicians often face unique site conditions that require troubleshooting, adjustment, and practical problem-solving that cannot be fully anticipated by software.

4.3 Leadership and People Management

Managing employee morale, resolving workplace disputes, mentoring staff, and building team culture depend heavily on emotional intelligence and trust.

4.4 Negotiation and Relationship Building

Whether in sales, procurement, business development, or project management, successful negotiations require understanding motivations, reading situations, and building long-term relationships.

4.5 Skilled Trades

Electricians, plumbers, welders, mechanics, and maintenance technicians frequently encounter unpredictable environments where practical experience and adaptability are essential.

5. The Future Belongs to Human-AI Collaboration

The biggest workforce shift may not be humans competing against AI, but humans working alongside AI.

Employees who learn to leverage AI for research, analysis, documentation, and routine tasks may become significantly more productive than those who ignore it. At the same time, qualities such as leadership, creativity, communication, judgment, and adaptability are likely to become even more valuable.

The workforce of the future may consist of fewer routine tasks and more high-value human contributions.

6. Conclusion

AI is unlikely to eliminate entire industries. Construction projects will still need supervisors. Patients will still need caregivers. Businesses will still need leaders, negotiators, engineers, cybersecurity specialists, software architects, and problem-solvers. While AI may automate portions of administrative, financial and technical work, human judgment, accountability, creativity and relationship-building remain difficult to replicate.

What AI is most likely to eliminate is inefficiency, repetitive work, and certain administrative processes.

As with previous technological revolutions, some jobs will decline, many will evolve, and entirely new opportunities will emerge. For workers and businesses alike, the challenge is not preparing for a future without jobs, but, preparing for a future where human skills and AI capabilities work together.

Disclaimer: This article represents the author’s personal views based on current market observations, publicly available information and industry trends. Future developments may differ from the opinions expressed.