McKinsey report reveals AI’s evolving role in transforming the future of work

A new McKinsey Global Institute report predicts AI and robotics will automate over 70% of US work hours by 2030, emphasising a shift towards human-AI collaboration that preserves vital social skills amidst technological advancements.

A recent report by the McKinsey Global Institute reveals that artificial intelligence (AI) has the capacity to automate up to 57% of work hours in the United States, while robots could potentially handle an additional 13% of physical tasks. This projection signals a profound transformation in the labour market due to AI and automation technologies. However, it is important to note that this automation refers primarily to tasks within jobs rather than the widespread disappearance of entire occupations.

The report highlights that routine cognitive tasks, such as basic accounting, data entry, and coding, face the highest risk of automation. Still, many skills remain consistently sought by employers across both automatable and non-automatable functions, preserving the crucial role of human expertise. Emotional and social intelligence, skills essential to professions like teaching, nursing, and sales, will largely resist automation, underscoring the ongoing need for human judgement and interaction.

McKinsey’s research stresses that the future of work will involve a hybrid model where humans collaborate closely with AI and robotic systems. Human employees will be tasked with managing workflows, interpreting AI outputs, and making decisions based on insights that machines alone cannot fully comprehend. This human-AI partnership is becoming central to how work is performed, with enterprises increasingly investing in software platforms to securely manage AI agents operating alongside human teams.

The full economic value of this technological shift is estimated at approximately $2.9 trillion by 2030, but achieving this will require considerable organisational changes. Companies need to redesign workflows, embed human oversight, and invest heavily in employee training to leverage AI’s potential effectively. Sectors such as banking, retail, and professional services are currently leading in AI investments, with AI spending in banking projected to reach $10.5 billion in 2025 alone.

Generative AI, a subset of AI technologies capable of producing novel content, is expected to further increase automation potential. McKinsey estimates that without generative AI, automation could control about 21.5% of US work hours by 2030, but with generative AI, this figure rises to nearly 30%. Despite this, the report reinforces that human skills involving creativity, interaction, and expertise will continue to be indispensable, even in highly automatable fields such as radiology.

While concerns about mass job displacement often accompany discussions of AI, McKinsey’s findings provide a more nuanced outlook: jobs will evolve rather than vanish. A future workforce characterised by dynamic partnerships between humans, AI agents, and robots will reshape roles and workflows, amplifying productivity while maintaining the central role of human social and emotional intelligence.

The challenges lie not just in technological advancement but in how organisations manage the transition, focusing on integrating AI into human-centred systems and cultivating AI fluency among workers, a skill whose demand has surged sevenfold in the past two years. Success depends on cultivating this synergy to create opportunities and adapt work processes for a rapidly changing landscape.

In summary, McKinsey’s comprehensive analysis portrays a future where AI serves as a powerful tool that complements rather than replaces human capabilities, heralding a new era of collaborative work between people and intelligent machines.

📌 Reference Map:

• ^[1] (Parameter.io) – Paragraphs 1, 2, 4, 5, 6, 7, 8
• ^[2] (McKinsey) – Paragraphs 1, 2, 3
• ^[3] (Fortune) – Paragraphs 2, 3
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• ^[5] (McKinsey) – Paragraph 1, 2
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Source: Noah Wire Services

Noah Fact Check Pro

The draft above was created using the information available at the time the story first
emerged. We’ve since applied our fact-checking process to the final narrative, based on the criteria listed
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Freshness check

Score:
10

Notes:
The narrative is based on a recent McKinsey Global Institute report published on November 25, 2025, indicating high freshness. ([mckinsey.com](https://www.mckinsey.com/mgi/our-research/agents-robots-and-us-skill-partnerships-in-the-age-of-ai?utm_source=openai))

Quotes check

Score:
10

Notes:
The report includes direct quotes from McKinsey researchers, with no evidence of identical quotes appearing in earlier material, suggesting originality. ([mckinsey.com](https://www.mckinsey.com/mgi/our-research/agents-robots-and-us-skill-partnerships-in-the-age-of-ai?utm_source=openai))

Source reliability

Score:
10

Notes:
The narrative originates from McKinsey & Company, a reputable global management consulting firm, enhancing its reliability. ([mckinsey.com](https://www.mckinsey.com/mgi/our-research/agents-robots-and-us-skill-partnerships-in-the-age-of-ai?utm_source=openai))

Plausability check

Score:
10

Notes:
The claims align with McKinsey’s previous research on AI and automation, and are corroborated by coverage in reputable outlets like Fortune, indicating high plausibility. ([fortune.com](https://fortune.com/2025/11/25/why-ai-wont-take-your-job-partnership-agents-robots-mckinsey/?utm_source=openai))

Overall assessment

Verdict (FAIL, OPEN, PASS): PASS

Confidence (LOW, MEDIUM, HIGH): HIGH

Summary:
The narrative is fresh, original, and originates from a reliable source. The claims are plausible and supported by reputable outlets, indicating a high level of confidence in the assessment.