Archive · 17 Nov 2025
AI to Create More Jobs Than Destroyed by 2027: Gartner Report
Imagine robots and smart computers, called AI, are getting better at doing jobs.
Some people worry AI will take away everyone's jobs.
But a report from a company called Gartner says that by the year 2027, AI will actually help create more jobs than it gets rid of.
This is because AI will do the simple, repetitive tasks, but it will also create new kinds of jobs that need people to work with it.
So, instead of losing jobs, many jobs will change.
We'll need people to think critically, talk to others, and tell the AI what to do.
The biggest challenge isn't just having the technology, but making sure people are ready to use it.
Companies need to teach their workers new skills and focus on new areas where AI can help make money.
While AI can save money in some ways, companies need to be careful about the costs of training and changing how things work, as many are currently losing money on their AI projects.
By 2027, Artificial Intelligence is projected to create more jobs than it eliminates, shifting focus to workforce transformation.
AI will automate simple tasks but create new roles requiring different skill sets, emphasizing human-AI collaboration.
By 2030, IT work will be deeply integrated with AI, with 75% of tasks involving humans and AI, and 25% handled by AI alone.
Organizations are urged to prepare their workforces for AI integration by upskilling employees and focusing on revenue-generating roles, rather than solely cutting jobs.
A significant number of companies (74%) are currently breaking even or losing money on AI investments due to overlooked costs like training and change management.
- Who
- Gartner analysts and IT leaders (over 1,100 CIOs and IT leaders)
- What
- A report and survey findings predicting that AI will create more jobs than it destroys by 2027, emphasizing workforce transformation and the need for human readiness to work with AI.
- When
- Findings shared at Gartner IT Symposium/Xpo 2025; survey data from July 2025 and May 2025; report released on Monday.
- Where
- Kochi, India (for the symposium); Global workforce impact discussed.
- Why
- To address concerns about AI's impact on employment and highlight the shift towards workforce transformation, new roles, and evolving skill sets required in an AI-integrated future.
Positive Outlook: Job Creation and Workforce Transformation
Challenges: Skill Gaps and Investment Realities
Net Job Impact of AI
Positive Outlook: Job Creation and Workforce Transformation
By 2027, AI is predicted to create more jobs than it eliminates, shifting the focus from job losses to workforce transformation.
Challenges: Skill Gaps and Investment Realities
While AI may create new roles, it will automate many low-complexity tasks, potentially displacing workers if not managed proactively.
Human-AI Collaboration in IT
Positive Outlook: Job Creation and Workforce Transformation
By 2030, IT work will be deeply integrated with AI, with 75% of tasks involving humans working alongside AI and 25% handled solely by AI.
Challenges: Skill Gaps and Investment Realities
Organizations are not adequately preparing their workforce for this integration, leading to a potential skills gap and resistance to change.
AI Investment and ROI
Positive Outlook: Job Creation and Workforce Transformation
Companies should focus on shifting talent to emerging, revenue-generating AI-powered areas rather than simply cutting jobs.
Challenges: Skill Gaps and Investment Realities
A May 2025 survey revealed that 74% of CIOs are breaking even or losing money on AI investments due to underestimated costs like training and change management.
Evolving Skill Requirements
Positive Outlook: Job Creation and Workforce Transformation
Abilities like critical thinking, communication, and guiding AI systems will become more essential as AI takes over routine tasks.
Challenges: Skill Gaps and Investment Realities
Over-reliance on AI could lead to skill loss, necessitating regular testing and upskilling for workers to remain relevant.
- Source
- Gartner IT Symposium/Xpo 2025
- Prediction Year for Net Job Creation
- 2027
- Expected Human-AI Collaboration in IT by 2030
- 75% of tasks
- AI Handled Tasks in IT by 2030
- 25% of tasks
- Percentage of CIOs Breaking Even or Losing Money on AI Investments (May 2025 Survey)
- 74%
- Key Skills for the AI Era
- Critical thinking, communication, problem-solving, guiding AI systems
- Key Areas for AI Readiness Assessment
- Costs, technical capabilities, vendors
Sources
India’s AI shift moves from pilots to performance: EY-CII Report
Nearly Half of Indian Firms Live on AI, But Budgets Remain Tight: Report
India’s AI shift moves from pilots to performance: EY-CII Report
Just 1 in 6 firms prepared for supply chain turmoil
Firms bullish on AI but hold back on spending
Over 45% Indian firms scale GenAI pilots, but AI spending remains below 20%: EY-CII report