As AI adoption accelerates, experts emphasize that human skills like empathy, critical thinking, and ethical decision-making are essential for career success and building strong relationships. These skills are difficult for AI to replicate and are crucial for making sound judgments. Workplace experts argue that cultivating these skills can help employees become indispensable in an AI-driven work environment.
In the tech world, companies like Tesla, Unitree, and Meta are making strides in AI and robotics. Tesla and Unitree are developing robots that can perform intricate dance moves, while Meta is partnering with Corning to provide optical fiber and connectivity technologies for AI data centers.
Corning has emerged as a key AI infrastructure supplier, announcing major agreements with Meta, Nvidia, and Amazon. The company expects AI to drive demand for new networking technologies, including co-packaged optics and near-packaged optics.
On the AI development front, a new open-source toolkit called Agent-EvalKit is helping evaluate AI agents like Claude Code, Kiro CLI, and Kilo Code. The toolkit provides a comprehensive evaluation of AI agent performance beyond just output-level testing.
In other news, Cisco is transforming its business to focus on AI, launching new AI infrastructure products, including Cisco Cloud Control, a centralized, AI-enabled management platform. The company is positioning itself to survive any outcome in the AI boom and has achieved record profits.
Key Takeaways
['Human skills like empathy, critical thinking, and ethical decision-making are essential for career success in an AI-driven work environment.', 'Corning has announced major agreements with Meta, Nvidia, and Amazon to provide optical fiber and connectivity technologies for AI data centers.', 'Agent-EvalKit is an open-source toolkit for evaluating AI agents like Claude Code, Kiro CLI, and Kilo Code.', 'Cisco is transforming its business to focus on AI, launching new AI infrastructure products, including Cisco Cloud Control.', 'Tesla and Unitree are developing robots that can perform intricate dance moves.', 'Democrats in Congress are divided on how to regulate artificial intelligence.', 'Advania is focusing on artificial intelligence (AI) and has gained experiences that highlight the challenges faced by the channel.', 'Aer Lingus is building a data-fluent culture and modernizing its operations by prioritizing data foundations and empowering employees.', "AI-generated 'girlfriend ads' are being used to lure users into made-for-advertising (MFA) sites.", 'Scientists have discovered that sheepdogs use a two-step strategy to control chaotic swarms of sheep, which can be applied to controlling noisy collectives, such as drones or self-driving cars.']Human skills still outshine AI in the workplace
Experts say that while AI is advancing, human skills like empathy, critical thinking, and ethical decision-making are still essential for career success. These skills are hard to replicate with AI and are crucial for building strong relationships and making sound judgments. Workplace experts argue that cultivating these skills can help employees become indispensable in an AI-driven work environment. Skills like interpreting body language, conflict resolution, and nurturing relationships are particularly valuable. As AI adoption accelerates, workers fear being replaced by machines, but focusing on these human skills can help them stay relevant.
Experts weigh in on skills that outpace AI
Workplace experts emphasize that soft skills such as empathy and ethical decision-making are essential for employees to become indispensable in an AI-driven work environment. These skills are difficult for AI to replicate and are crucial for building strong relationships and making sound judgments. Experts argue that cultivating these skills can help employees stay relevant as AI adoption accelerates. Skills like interpreting body language, conflict resolution, and nurturing relationships are particularly valuable. Organizations are looking for candidates who communicate well and take leadership initiative.
Five human skills AI still can't match
Some workplace experts argue that with more businesses adopting AI tools, soft skills such as empathy, critical thinking, and ethical decision-making are worth cultivating to help employees become indispensable. Across industries and occupations, 'the skills that are most resistant to displacement by AI are the ones that are the most distinctly human.' These skills include relationship building, conflict resolution, and guiding and motivating other people. Even in job listings for technical roles, organizations say they're looking for candidates who communicate well and take leadership initiative.
Top human skills that AI can't replicate
Workplace experts argue that human skills like empathy, critical thinking, and ethical decision-making are essential for career success in an AI-driven work environment. These skills are difficult for AI to replicate and are crucial for building strong relationships and making sound judgments. Skills like interpreting body language, conflict resolution, and nurturing relationships are particularly valuable. Marco Iansiti, a professor at Harvard Business School, shared his experience of seeing nurses provide compassionate patient care, which AI could not easily replicate.
Evaluating AI agents systematically with Agent-EvalKit
Agent-EvalKit is an open-source toolkit for evaluating AI agents. It integrates with AI coding assistants like Claude Code, Kiro CLI, and Kilo Code. The toolkit helps evaluate AI agents by tracing their full execution path, including tool calls and intermediate state. This allows for a more comprehensive evaluation of AI agent performance beyond just output-level testing. Agent-EvalKit works through a six-phase evaluation process, providing metrics that assess faithfulness and tool usage alongside surface accuracy.
Top AI coding agents and development platforms in 2026
The article compares top AI coding agents and development platforms in 2026. These platforms include Atoms, Devin, Windsurf, Cursor, Warp, and more. They offer various features such as coordinated teams of AI agents, autonomous engineering, in-editor assistance, and UI building. The article provides an overview of each platform, highlighting their strengths and applications. No single tool fits every need, and the guide walks through the platforms shaping AI-assisted development in 2026.
Aer Lingus prioritizes data fluency in digital transformation
Aer Lingus is building a data-fluent culture and modernizing its operations by prioritizing data foundations and empowering employees. The airline is investing in a 'Data Literacy Academy' to enhance data literacy across the organization. This move aims to modernize its 90-year-old operations and meet the demands of a digitally savvy traveler. The airline's strategy focuses on long-term foundational strategy, ensuring data quality and governance, while also dedicating capacity to innovation and rapid value delivery.
AI 'girlfriend ads' fueling new wave of MFA sites
AI-generated 'girlfriend ads' are being used to lure users into made-for-advertising (MFA) sites. These sites use suggestive creative featuring AI-generated women to promote personalized companionship and customizable AI personas. However, when users click on these ads, they are funneled into paid search results and low-quality, AI-generated content. MFA networks drew in over 2 million visits per month in Q1 2026, and the economic impact of this type of fraud could reach millions globally.
Advania shares AI lessons and experiences
Advania is focusing on artificial intelligence (AI) and has gained experiences that highlight the challenges faced by the channel. One of the key areas of focus is the speed of AI evolution and the pressure on partners to outline strong use cases. The channel is also being asked questions around security and data sovereignty. Advania's experiences emphasize the importance of adoption programs and expert guidance to help organizations get the most out of AI tools.
Inside Cisco's AI-focused makeover
Cisco is transforming its business to focus on AI, with a portfolio that spans networking infrastructure, cybersecurity, observability, and collaboration tools. The company has launched new AI infrastructure products, including Cisco Cloud Control, a centralized, AI-enabled management platform. Cisco is positioning itself to survive any outcome in the AI boom and has achieved record profits. The company's CEO, Chuck Robbins, is optimistic about the AI opportunity and is taking a proactive approach to address potential risks.
Robots take center stage in dance
The article discusses the development of robots that can dance, highlighting the challenges and possibilities of creating robots that can move in a human-like way. Companies like Tesla and Unitree are working on robots that can perform intricate dance moves. However, experts argue that creating robots that can truly dance is a complex task, requiring a deep understanding of human movement and notation systems. The article explores the intersection of robotics, dance, and choreography.
Democrats divided on AI regulation
Democrats in Congress are divided on how to regulate artificial intelligence, with some pushing for cooperation and compromise, while others advocate for sweeping regulations. The divide is reflected in different proposals and approaches to AI policy. The article highlights the challenges of regulating AI and the need for a unified approach.
What AI-herding scientists can learn from sheepdogs
Scientists have discovered that sheepdogs use a two-step strategy to control chaotic swarms of sheep. By analyzing sheepdog trials on YouTube, researchers found that the dogs wait for all the sheep to face the right direction and then chase them. This strategy can be applied to controlling noisy collectives, such as drones or self-driving cars. The study provides insights into how to control chaotic systems and could have implications for AI development.
Corning emerges as key AI infrastructure supplier
Corning is increasingly positioning itself as a supplier of optical connectivity technologies for AI data centers. The company has announced major agreements with Meta, Nvidia, and Amazon to provide optical fiber and connectivity technologies. Corning expects AI to drive demand for new networking technologies, including co-packaged optics and near-packaged optics. The company's agreements with hyperscalers point to long-term, sustainable growth and increased capacity.
Sources
- The skills people still perform better than AI, according to workplace experts
- The skills people still perform better than AI, according to workplace experts
- The skills people still perform better than AI, according to workplace experts
- Five human skills AI still can’t match — and why they could save your job
- Evaluate AI agents systematically with Agent-EvalKit
- Top AI Coding Agents and Development Platforms in 2026: Atoms, Devin, Windsurf, Cursor, Warp, and More Compared
- Aer Lingus Bets on Data Fluency
- AI ‘girlfriend ads’ are fueling a new wave of MFA sites
- Advania shares AI lessons
- Inside Cisco’s Makeover: Targeting AI With Deeper Stack Integration
- When Robots Come for Dance
- Rush to regulate artificial intelligence divides Democrats in Congress
- What AI-herding scientists can learn from watching ‘sheepdog YouTube’
- Corning emerges as key AI infra supplier as hyperscalers deepen fiber investments
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