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The U.S. and China are the only two countries at the cutting edge of intelligent humanoid robots, according to specialists. Whoever can make a truly useful humanoid will come to dominate an untold number of labor-intensive industries.

“The time has come for robots,” said Jensen Huang, chief executive of the AI chip company Nvidia, at a conference in March. “Everyone, pay attention. This could very well be the largest industry of all.”  

The humanoid robot, much like the hoverboard, is a long-tenured item on the list of science-fiction promises left unfulfilled. For years, the technology’s standard-bearer was Honda’s Asimo, a marsh mallow like droid best known for failing to navigate stairs without falling down. 

The question isn’t whether AI will change the workforce. The question is: Will you be ready? Technology has always transformed work and society. Artificial intelligence is just accelerating the pace. Imagine being a farm or factory worker in the 1850, watching new machines emerge that threatened to take your job. The fear was intense, as was the societal backlash. People rioted against automation, desperate to halt progress. But history marched forward. Machines did replace much of the grinding labor in factories and farms, yet humanity didn’t crumble, it advanced. As society adapted over the following decades, life expectancy increased, work became safer, people worked fewer hours, and the global standard of living skyrocketed.

Investors on the hunt for real-world applications of artificial intelligence may want to consider humanoid robots, which some analysts predict could begin replacing human workers at scale by the end of the decade.

“Breakthroughs in generative AI are bringing 3D perception, control, skill planning and intelligence to robots,” Rev Lebaredian, Nvidia’s vice president of omniverse and simulation technology, told CNBC. “Humanoid robots will help close the gap as labor shortages increase around the world, especially in sectors like retail, warehousing and distribution or manufacturing.”

Experts in Puerto Rico say artificial intelligence tools help candidates and recruiters, but shouldn’t replace authenticity or personal interaction.

Job seekers, employers and recruiters are increasingly turning to artificial intelligence-powered tools to improve the job search and recruitment process. But as helpful as AI may seem, both sides should strive to avoid its pitfalls.

A majority of U.S. workers (84%) say AI has made it easier to find jobs, but most (66%) admit it has intensified competition by making it harder to stand out, as more people now use the same tools to discover and apply for the same positions, according to a recent survey by Resume Now.

Everywhere you turn, there’s talk of AI — its promise, its challenges and its profound impact on the future of business. As a CEO or strategy leader, you likely have regular discussions about its potential to reshape your industry, redefine business models and create new value streams. Seemingly every decision you make has a what-if AI component.

The continuous barrage of tech advancements, headline-grabbing announcements and media frenzy make it clear that the latest wave of AI is a tech disruption unlike anything we’ve experienced in the recent past. You understand it could upend your business and create breakthrough opportunities, but are you prepared for just how quickly and completely that could happen?

If we would make one prediction to sum up all the rest, it would be this: Your company’s AI success will be as much about vision as adoption. That means that your AI choices may be the most crucial decisions not just this year but of your career. It’s now clear that AI can deliver value at scale — and we’re just getting started. Nearly half (49%) of technology leaders in PwC’s October 2024 Pulse Survey said that AI was “fully integrated” into their companies’ core business strategy. A third said AI was fully integrated into products and services. 

Making AI intrinsic to the organization is vital, because making “big leaps” (such as new business models) is only one source of game-changing AI value. The other is the cumulative result of incremental value at scale: 20% to 30% gains in productivity, speed to market and revenue, first in one area, then another — until the company is transformed.  

To help navigate this transformation, we offer a set of predictions covering the most important areas that demand your attention. These are based on real-world experience in helping our clients reinvent their business with AI, the transformation of our own firm with AI and PwC’s strategic alliances with leading tech companies in the AI ecosystem.   

Desde el lanzamiento de ChatGPT, la GenAI se ha integrado a la perfección en las rutinas diarias de aproximadamente 500 millones de personas en todo el planeta. Es similar a una fiebre del oro digital, en que usuarios de 209 países y uno de cada ocho trabajadores a nivel mundial se suman a la corriente. El potencial de la GenAI para dar un gran impulso a la productividad y reconfigurar la economía y la sociedad es sencillamente increíble.

En nuestro reciente documento de trabajo (i) se analiza en profundidad el fenómeno extraordinario de la GenAI, utilizando datos novedosos de tráfico web y Google Trends. Nuestro objetivo era comprender qué tan rápido se está propagando la GenAI, quién la está utilizando y cómo está cambiando nuestros hábitos en línea.

El análisis DAFO (Debilidades, Amenazas, Fortalezas y Oportunidades) es una herramienta crucial para definir la estrategia organizacional. Permite a las empresas evaluar su situación tanto interna como externa, facilitando la toma de decisiones y el establecimiento de objetivos a corto, mediano y largo plazo. En este artículo se analiza el concepto del análisis DAFO y su relevancia en la planificación estratégica, apoyándose en estudios y aportes teóricos significativos. De la misma manera, planteamos de forma práctica cómo llevarlo a cabo con inteligencia artificial.

En el entorno empresarial, comprender el nivel de competencia y los factores que influyen en la rentabilidad es esencial. Michael Porter, profesor de la Harvard Business School, desarrolló el modelo de las 5 fuerzas competitivas, un marco de análisis que permite a las empresas evaluar las dinámicas de su industria y formular estrategias que maximicen su rentabilidad. Según Porter, estas son las 5 fuerzas que configuran cualquier sector:

Una de las claves para tomar decisiones eficaces a nivel estratégico es comprender el entorno general de la empresa. El análisis de este entorno no solo permite identificar oportunidades y amenazas, sino que también ayuda a anticipar cambios que puedan impactar la dinámica del negocio. Para realizar un análisis completo del entorno, uno de los métodos más utilizados es el análisis PEST o PESTEL, que permite desglosar las fuerzas externas en seis grandes categorías: Política, Económica, Social, Tecnológica, Ecológica y Legal.

We’re entering a new era in our relationship with technology. Personal devices are evolving into more than just tools—they’re becoming intuitive extensions of who we are; learning, adapting and anticipating our needs. While artificial intelligence is one driving force behind this shift, the evolution extends far beyond AI. Groundbreaking form factor designs and seamlessly connected ecosystems are also reshaping how technology integrates into our lives, empowering us to achieve more with less effort. The question is no longer what technology can do, but how naturally it can enhance our potential.

Artificial intelligence, automation, and digital connectivity are fundamentally reshaping how work is organized. Despite this, corporate workplaces, due to how they’re structured, are struggling to keep up.

According to EY, the average lifespan of an S&P 500 company has plummeted from over 65 years in the 1940s to just 15 years today. The speed of technological progress is outpacing the adaptability of our work systems, many of which are designed for a slower and more predictable era. Businesses that once thrived on longevity and stability must now embrace agility, continuous learning, and dynamic workforce models.

Agentic AI refers to AI systems built around the same language processing capabilities as services like ChatGPT but capable of carrying out much more complex, goal-oriented tasks with minimal human intervention. For example, they can interact with websites, fill out forms, collect and submit information and make payments.

• The balance of current economic indicators suggests continued labor market resilience in 2025.
• An economic soft landing is coming into view, but sticking it will require careful navigating around emerging headwinds, including a slowdown in hiring and looming labor shortages. 
• Slowing labor force growth, an aging population, and an expected decline in immigration suggest that the supply of workers will weigh heavily on the job market in the coming years.
• Posted wage growth has leveled off at a healthy pace, suggesting continued robust competition for workers next year — especially in low-wage and in-person roles.
• Widespread use of GenAI tools promises to boost productivity, but adoption will need to spread beyond a handful of power-using sectors (including software development and mathematics) for the tools’ full productivity-boosting potential to be realized.

OpenAI’s Sam Altman has been particularly vocal, predicting since mid-2023 that AI agents would enter the workforce and replace entire job categories by 2025. (Note: He’s also said AGI is almost here … and then told people to stop hyping it up.)

In 2024 we got a glimpse of the agentic future – with experimental releases from Devin (an AI coding agent), Project Mariner (a browser-based action-taking agent), and Anthropic’s computer use agent.

But the 2024 agents weren’t quite there yet. Some were impressive first tries, but most underwhelmed us when we tested them in the real world. Specifically, the agents lacked the ability to maintain context across actions (like fixing a bug in one code file while breaking three others) and didn’t have the proper tools to execute tasks (like getting stuck when trying to book a flight because it couldn’t handle the payment form).

2025 has introduced something more interesting: two distinct philosophies on AI agents, via the release of OpenAI's Operator and Microsoft's Copilot Studio.

Explore the top AI trends of 2025 and stay updated on the latest developments reshaping industry landscapes with this detailed blog.

Business leaders are at a crossroads with AI. On one path, there’s understandable skepticism: AI has been overhyped, and many initial investments haven’t delivered the promised returns. But the other path can lead to a transformative reality: AI is already boosting revenue and reshaping industries. Within the next 12 to 24 months, AI agents are expected to revolutionize how businesses operate, enabling companies to make strategic moves at a pace and magnitude previously unimaginable. Business models that rely on traditional scale can give way to those favoring agility and innovation.

What if your Al assistant could not only see the world through your eyes but actually understand it, plan ahead, and take action on your behalf? With recent advancements we are witnessing not just an evolution but a revolution in how AI understands and interacts with both our physical and digital worlds.

Tech giants like Google, among others like Microsoft, OpenAI and Meta, are pushing the boundaries of what's possible, and we're witnessing the emergence of AI systems that could fundamentally transform our relationship with technology.

En posts anteriores hemos explicado como realizar un análisis estratégico tanto externo como interno, y además cómo diseñar el DAFO y usar la IA en todo el proceso.

La misión, la visión y los valores representan los cimientos sobre los cuales se construyen la identidad y el propósito de una organización. Estos conceptos, aunque a menudo tratados superficialmente, son fundamentales para guiar el crecimiento, las decisiones estratégicas y la adaptación al entorno competitivo. En este post profundizaremos en la importancia de cada uno de estos elementos y su papel dentro de la gestión empresarial, apoyándonos en teorías clásicas de la estrategia y estudios contemporáneos.

As the world continues to navigate the post-pandemic era, one of the most contentious debates in the business world today is the return-to-office (RTO) mandate. Employers, eager to restore in-person collaboration and revive office culture, have increasingly insisted that workers return to the office full-time. However, this decision has sparked a widespread debate about whether these mandates are truly in the best interest of employees, companies, and the future of work.

In this blog post, we’ll take a deep dive into the pros and cons of RTO mandates and explore how virtual environments like those offered by Virbela could offer a more effective and sustainable solution.

The recent evolution of generative AI (genAI) involves a progression through three stages, each building upon prior advances. GenAI is moving from AI technology that merely interacts with humans through natural language and visual understanding to complex, autonomous, and adaptive AI systems that can manage complex tasks and interactions. The progression of genAI-based design patterns in each stage illustrates the growing sophistication of this emerging technology; they aren’t mutually exclusive but in fact coexist and are often used in combination. The three stages are: