×
AI shapes Gartner’s top 10 tech predictions for 2025
Written by
Published on
Join our daily newsletter for breaking news, product launches and deals, research breakdowns, and other industry-leading AI coverage
Join Now

AI’s transformative impact on organizations: Gartner’s 2025 predictions highlight artificial intelligence’s profound influence on various aspects of business operations, from management structures to employee interactions and decision-making processes.

• By 2026, AI is expected to eliminate over half of middle management positions in 20% of organizations, leading to flatter organizational structures.

• AI guidance is predicted to challenge executive decisions in 10% of global boards by 2029, potentially reshaping corporate governance.

• Large enterprises are forecasted to increasingly use AI for employee mood and behavior monitoring, with 40% adoption expected by 2028.

The evolving landscape of AI in the workplace: As AI becomes more integrated into daily operations, it’s set to redefine employee-employer relationships and contractual agreements.

• By 2027, 70% of new employee contracts are expected to include licensing clauses for AI representations of their personas, reflecting the growing importance of digital identities in the workplace.

• The healthcare sector is predicted to be at the forefront of emotional AI adoption, with 70% of providers including related terms in technology contracts by 2027.

• Generative AI is forecasted to play a significant role in corporate branding, with 30% of S&P companies using GenAI labeling to reshape their brand image by 2028.

AI security and oversight concerns: The increased reliance on AI systems is expected to bring new challenges in terms of security and governance.

• By 2028, 25% of enterprise breaches are predicted to be traced to AI agent abuse, highlighting the need for robust security measures.

• In response to potential AI-related risks, 40% of CIOs are expected to demand “Guardian Agents” to oversee AI agent actions by 2028.

• Gartner also predicts that “agentic AI” will make 15% of day-to-day work decisions autonomously by 2028, raising questions about accountability and control.

Broader technological and societal shifts: Beyond AI-specific predictions, Gartner foresees significant changes in energy management and digital wellness policies.

• Fortune 500 companies are expected to shift $500 billion to microgrids for energy needs through 2027, indicating a move towards more sustainable and resilient energy solutions.

• By 2028, 70% of organizations are predicted to implement anti-digital policies in response to growing concerns about digital addiction.

Implications for business leaders: These predictions underscore the need for organizations to prepare for a future where AI plays an increasingly central role in business operations and decision-making.

• Companies will need to reassess their organizational structures and management practices to adapt to AI-driven flattening of hierarchies.

• There will be a growing emphasis on ethical considerations and regulatory compliance as AI becomes more involved in employee monitoring and mood manipulation.

• Businesses must prioritize AI security and governance to mitigate risks associated with increased AI adoption and potential misuse.

Looking ahead: As these predictions suggest, AI is poised to reshape the business landscape in profound ways. While the technology offers significant opportunities for efficiency and innovation, it also presents challenges that organizations must address proactively. The coming years will likely see a complex interplay between AI adoption, regulatory developments, and evolving societal attitudes towards the role of technology in the workplace and beyond.

AI dominates Gartner’s 2025 predictions

Recent News

AI data centers may consume more power than major cities

Data centers' growing power demands strain local grids and force tech companies to explore new locations and energy sources.

Why scaling limits may be necessary to achieve a true AI breakthrough

Physical constraints on computing resources may drive AI systems toward more efficient reasoning abilities, similar to how evolution optimized human cognition within biological limits.

Netflix drops AI-generated poster after creator backlash

Studios face mounting pressure over AI-generated artwork as backlash grows from both artists and audiences, prompting hasty removal of promotional materials and public apologies.