New Report: 80% of Executives View Agentic AI as Critical to Company Survival by 2027

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80% of executives view agentic AI as vital for company survival by 2027, according to a Cisco report. While excitement around AI grows, gaps in infrastructure and skills pose challenges. Companies must invest in robust networks to support AI transformations, with expectations of new job categories emerging. Early adopters of agentic AI see significant ROI, signaling the technology as a necessary investment for future success.

https://blogs.cisco.com/news/new-report-80-of-executives-view-agentic-ai-as-critical-to-company-survival-by-2027

Column: Robots Are Heading Into the Kitchen. Should We Welcome Them?

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Robotic cooking machines like Robby and Al Dente are revolutionizing kitchens, preparing dishes like fried rice consistently. These machines still require human input but can enhance efficiency in restaurant operations. Robby, made by Next Robot, can cook large quantities while maintaining quality and is already used in various locations, including schools and restaurants. The technology aims to replicate complex cooking techniques, addressing issues of inconsistency in food preparation, with ongoing developments improving their functionality. Chefs see these machines as tools to streamline operations rather than replacements.

https://www.latimes.com/food/story/2026-02-23/robot-cooking-machinery-woks-future-los-angeles-restaurants-dining

AI Robots May Outnumber Workers in a Few Decades as Firms Ramp up Investment

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AI robots may outnumber human workers in decades due to increased corporate investment and profitability focus. Former Citi executive predicts AI robots’ rapid growth, estimating 1.3 billion by 2035 and 4 billion by 2050. Robots often pay for themselves rapidly, making them more cost-effective than humans. McKinsey reports the workforce will soon balance between humans and AI agents. AI’s impact on jobs will be significant, creating concerns over worker displacement while also promising high-tech job opportunities.

https://www.cnbc.com/2026/02/23/ai-robots-outnumber-workers-agents-few-decades-citi.html

Professional AI Adoption Could Unlock up to $4.1 Trillion Capacity for US

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LinkedIn’s report reveals that adopting AI could boost the U.S. economy by $4.1 trillion, enhancing efficiency in sectors like manufacturing and education. However, U.S. AI adoption lags behind countries like India, with only 28% of working-age Americans utilizing AI tools. The report suggests upskilling employees and government support for AI programs to optimize benefits, highlighting that many businesses currently see limited impact from AI.

https://www.socialmediatoday.com/news/professional-ai-adoption-could-unlock-up-to-41-trillion-capacity-for-us/812915/

The Human Work Behind Humanoid Robots Is Being Hidden

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AI advancements in humanoid robots often hide the significant human labor involved. Companies, driven by hype, create unrealistic expectations about robot capabilities. As robots learn from human actions, workers are reduced to data gatherers, raising privacy concerns and reflecting gig-work dynamics. Transparency is lacking, and without it, the real limitations of robotic intelligence are obscured, leading to potential misunderstandings and risks, such as those seen in automotive technologies.

https://www.technologyreview.com/2026/02/23/1133508/the-human-work-behind-humanoid-robots-is-being-hidden/

AI Will Either Save Work or Destroy It. Apparently.

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The future of work and AI is uncertain, with opinions ranging from AI being a productivity savior to a job destroyer. While some argue AI will create new jobs, others worry about job downgrading and increased inequality. The key to navigating this uncertainty lies in improving AI literacy, upskilling, and experimenting with AI tools to ensure they enhance human work rather than replace it.

https://workplaceinsight.net/ai-will-either-save-work-or-destroy-it-apparently/

Fears About AI Taking Our Jobs Are Understandable

Fears that AI will replace jobs are understandable but harmful. While anxiety about job loss due to AI is widespread and can negatively impact workers’ mental health and decision-making, AI hasn’t caused mass unemployment yet. The fear itself can lead to disengagement and feelings of alienation. It’s essential to integrate AI thoughtfully into workplaces, involving workers in the process to mitigate these fears and preserve dignity. Addressing the risks of AI should focus on societal intervention to prevent anxiety from becoming a larger crisis.

https://theconversation.com/fears-about-ai-taking-our-jobs-are-understandable-but-harmful-276245

Token Anxiety

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In 2026, San Francisco’s social scene is dominated by people obsessed with their AI agents, who constantly monitor and optimize their performance. The pressure to innovate and stay ahead is intense, leading to a culture of constant productivity and a fear of falling behind. This obsession permeates daily life, blurring the lines between work and leisure, and leaving little room for relaxation or reflection.

https://writing.nikunjk.com/p/token-anxiety

AI Could Cause Workers to Rise Up Against the Corporations Driving Them Into Poverty

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AI may unite workers against corporations exploiting them, potentially reviving unions. As AI threatens jobs, discontent rises, suggesting the possibility of larger labor movements. Concerns over layoffs and a desire for union representation are growing, prompting business leaders to call for de-escalation amid unrest. Workers have a choice in how to use AI, which could either exploit or empower them.

https://futurism.com/artificial-intelligence/ai-labor-workers-movement

AI Isn’t Failing, People Are Failing With AI

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The article emphasizes that AI projects fail not due to the technology itself, but from improper application and lack of understanding. Success with tools like BERT and GPT relies on domain expertise and a structured approach to deployment, particularly in data-heavy industries like healthcare and finance. A risk-based framework is recommended for assessing AI applications. In summary, effective AI use hinges on comprehension of technology, data management, and strategic application.

https://www.cio.com/article/4135361/ai-isnt-failing-people-are-failing-with-ai.html

Building Pro-worker AI

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Summary: AI can either displace workers or enhance their capabilities. Pro-worker AI technologies increase the value of human skills. However, most AI development focuses on automation rather than augmenting workers. Policy recommendations for promoting pro-worker AI include emphasizing its use in sectors like healthcare, enhancing government expertise in AI, fostering competition, and protecting worker rights.

https://www.brookings.edu/articles/building-pro-worker-ai/

The AI Workforce Myth: Why Training Won’t Deliver Readiness

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Organizations investing in AI readiness find that training alone does not produce business impact because it doesn’t change how work gets done or how AI is adopted. Structural barriers—outdated processes, missing governance, and roles not aligned with AI—limit adoption. Leading organizations redefine operating models by integrating AI into workflows, updating job descriptions, establishing governance, and creating performance-based incentives. They conclude readiness requires organizational redesign and change management, not just skill training. 

https://rsmus.com/insights/services/business-strategy-operations/why-training-wont-deliver-readiness.html

AI Is Creating a Future Workforce Disaster As It Erases Entry-Level Skillbuilding

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AI is automating entry-level tasks, eliminating foundational job experiences and creating future talent shortages. This reduces opportunities for young workers, as companies prioritize efficiency over skill development. While productivity increases, independent thinking and professional instincts decline, leading to potential long-term workforce issues. Employers may face a talent gap, lacking capable individuals to fill senior roles, as essential on-the-job training disappears. AI also impacts workplace collaboration, weakening mentorship and informal learning among junior employees. The trend signifies a structural shift in career progression, where fewer workers gain necessary experience to advance.

https://allwork.space/2026/02/ai-is-creating-a-future-workforce-disaster-as-it-erases-entry-level-skillbuilding/

What CIOs Are Doing To Evolve Operating Models And Talent

CIOs are evolving IT operating models and talent due to legacy systems and cultural resistance. Key initiatives include: adopting platform operating models with joint business-tech accountability, strengthening architecture for informed decision-making, and rebalancing technology talent for AI integration. These moves are crucial for translating strategy into measurable business outcomes and demonstrate how operational and skill changes drive impact. Future insights will connect changes to board-level discussions on security and costs.

https://www.forrester.com/blogs/what-cios-are-doing-to-evolve-operating-models-and-talent/

Managing the New Blend of Human and Virtual “Co-Workers”

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HR must adapt for 2026 as AI reshapes workplaces. Key trends include managing layoffs humanely, protecting employee mental health from AI, improving productivity, addressing recruitment fraud, safeguarding against corporate espionage, and supporting workers transitioning to skilled trades. Successful HR leaders will prioritize process optimizations over mere tech skills and develop compensation strategies for employees’ digital likenesses.

https://www.latimes.com/b2b/human-resources/story/2026-02-22/2026-future-of-work-trends-hr-leaders

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