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Adapted from Forbes Research, October 14, 2025 Forbes In a sweeping new Forbes Research 2025 AI Survey, more than 1,000 C-suite executives across sectors were asked to weigh in on a pressing question: Will artificial intelligence destroy jobs — or create new ones? The findings show a generally cautious optimism among top leaders about AI’s impact on the workforce.

A Moderated View on Job Loss

A dominant takeaway is that most executives don’t foresee mass job eliminations in the near term. In fact, 94 % of respondents believe that fewer than 5 % of current roles will disappear over the next two years due to AI integration. Forbes This outlook challenges the more alarmist view that AI is set to displace swathes of employees imminently. Rather, for many of these executives, the transition will be incremental and manageable.

Growing Confidence in AI’s Constructive Role

Beyond limiting job losses, a striking proportion of executives—59 %—say they expect AI to generate net new job opportunities, not just eliminate roles. Forbes This is a clear shift from the prior year: in 2024, only a third of executives held this more positive view. The jump suggests greater confidence in AI as a transformative, rather than purely disruptive, force.

Addressing Employee Concerns: From Fear to Partnership

One of the biggest hurdles to AI adoption is employee anxiety—especially fears about job security. Many executives named “fear of job loss” as a top barrier to successful AI rollout. Forbes To counter that, 68 % of organisations are actively reframing their internal narrative around AI. Instead of positioning AI as a replacement, they emphasize a collaborative future of human + machine. Forbes As one executive put it, “helping employees trust and adapt to new tools without fearing replacement” is essential for meaningful adoption. Forbes The sentiment is echoed in public statements from tech and retail leaders, who often stress that AI should augment human capabilities, not displace them.

Workforce Realignment and Internal Mobility

Executives aren’t just talking—some are already reshuffling roles. Survey results show that 44 % of CHROs (Chief Human Resources Officers) have reassigned employees from non-AI roles into domains that overlap with AI or data work. Forbes Simultaneously, many organizations are scaling training, mentorship, and career development programs to help existing staff transition and grow in the AI-augmented environment. Forbes The goal is clear: rather than shedding people, these companies aim to reskill and redeploy talent.

Uneven Adoption Across Business Functions

Where AI is applied varies substantially. 69 % of executives report using AI in IT infrastructure, technical operations, and core systems. Forbes But further down the org chart, adoption is much sparser:

• Only 3 % say AI is used in HR operations
• Just 2 % note AI use in legal functions

This disparity suggests that AI’s initial foothold remains in the more technical, data-intensive parts of the business. Forbes Executives acknowledge this is natural—and that scaling AI beyond early adopters will require intentional strategy, governance, and change management.

Key Takeaways & Forward View

From the survey, a few overarching themes emerge:

1. Measured optimism over alarmism The prevailing view is one of cautious balance: AI is transformative, not apocalyptic.
2. Narrative matters Over two-thirds of companies are actively recasting AI as a tool for human augmentation, not replacement.
3. Talent is being redeployed, not eliminated Talent strategies emphasize reskilling over layoffs.
4. Adoption is uneven but expanding AI’s early strongholds are in technical functions, but organizations aim to broaden use cases.
5. Transition is evolutionary, not revolutionary The timeline is gradual; few expect immediate, sweeping job cuts.

Overall, the Forbes Research 2025 AI Survey suggests that many C-suite leaders see AI as a partner for progress—not a threat to their people.

(Adapted from Bernard Marr’s article in Forbes, October 2025) In 2026, generative AI will no longer feel experimental — it’s becoming a fundamental part of how organizations operate and how individuals create, learn, and communicate. What began with tools like ChatGPT in 2023 has now evolved into a multi-industry revolution, reshaping workflows, creativity, and innovation. While challenges like copyright disputes, bias, job transformation, and ethical oversight continue, the potential of generative AI — to accelerate productivity, spark creativity, and extend human capability — is undeniable. According to Forbes contributor Bernard Marr, here are ten key trends set to define 2026:

1. Generative Video Comes of Age

AI-generated video production is becoming a serious creative tool. Shows like Netflix’s El Eternauta already use AI to enhance animation and reduce costs. By 2026, expect large studios and creators alike to rely more heavily on generative tools for visual effects, storytelling, and editing.

2. Human Authenticity Becomes a Differentiator

As AI floods the internet with auto-generated content, audiences will crave authenticity. Real voices, emotional storytelling, and unique cultural perspectives will stand out. The human touch — what feels “genuinely lived” — will become a key competitive advantage.

3. Copyright Clashes Intensify

The debate over who owns the data that trains AI will heat up. As generative models rely on massive datasets of human-created work, legal disputes and regulatory efforts will grow. 2026 will likely see new frameworks emerge to protect creators while allowing innovation to continue.

4. From Chatbots to AI Agents

AI assistants will move beyond responding to prompts. They’ll act autonomously — planning, prioritizing, and completing tasks across apps and systems. Platforms like ChatGPT’s Agent Mode, Gemini, and Claude are early examples of this transition toward proactive digital partners.

5. Privacy-Focused AI Solutions

Concerns about data security are leading to demand for on-device or private-cloud AI. Businesses and individuals will increasingly seek systems that ensure control over sensitive information while maintaining high generative performance.

6. Gaming Revolutionised by AI

Games will become more immersive through AI-driven storytelling, dynamic environments, and lifelike characters. Developers will use generative AI to cut costs and expand creativity — while players experience worlds that feel truly adaptive and intelligent.

7. Synthetic Data for Safer AI Training

Generative AI will increasingly produce synthetic data for use in simulations and analytics. This allows organisations — especially in healthcare, finance, and research — to train models effectively without compromising real personal data.

8. Generative Search Redefines the Web

AI is transforming search. Tools like Google’s Search Generative Experience and platforms such as Perplexity are blending conversational summaries with ad models. In 2026, new monetization structures will arise as search becomes more interactive and contextual.

9. Scientific Discovery Accelerated by AI

Generative AI is becoming a core tool in science — speeding breakthroughs in fields like drug design, climate research, and materials engineering. AI can now generate hypotheses, simulate results, and guide researchers toward faster discoveries.

10. New AI Roles and Careers Emerge

AI isn’t just replacing jobs — it’s creating new ones. Roles like prompt engineers, AI ethicists, model trainers, and AI auditors are becoming essential. In 2026, these professions will form the backbone of how organizations collaborate with intelligent systems.

The Bigger Picture

As Forbes highlights, the boundary between human and machine creativity is fading fast. Generative AI will continue reshaping industries — from entertainment to science — while demanding new skills, ethical guidelines, and a rethinking of how we define originality and value. Organizations that embrace these changes with curiosity and responsibility will be the ones to thrive in the age of intelligent creation.

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