AI Agents: The Autonomous Business Will Redefine Employment
Companies invest in AI and cut staff, but talented professionals will find new opportunities
June 22, 2026 · 4 min read

TL;DR: The autonomous business driven by AI agents is transforming employment. While some jobs disappear, supervisory and strategic roles emerge. Professionals should focus on skills complementary to AI.
What happened?
According to a ZDNet analysis, companies are accelerating investment in artificial intelligence agents—systems capable of autonomously executing complex tasks—while simultaneously reducing their workforces. This move is not mere cost optimization but a structural shift toward what is called the "autonomous business": organizations where key processes are managed by AI with minimal human oversight. The report notes that in 2025, global spending on AI agents is expected to reach $28 billion, according to IDC data, representing a 45% increase from the previous year. Major tech companies like Microsoft, Google, and Salesforce have already launched agent platforms, such as Copilot Studio, Vertex AI Agent Builder, and Agentforce, respectively. This phenomenon is not isolated: in 2023, consulting firm McKinsey estimated that automation could displace up to 800 million jobs by 2030, but also create 97 million new roles. However, the current adoption rate exceeds projections, driven by the maturity of language models and pressure to reduce operational costs.
Why is it important?
This phenomenon marks a turning point in the relationship between technology and employment. Unlike previous automation, AI agents not only replace repetitive tasks but also take on analysis, decision-making, and coordination functions. For example, in the financial sector, AI agents already manage investment portfolios and detect fraud in real time—roles that previously required teams of analysts. In customer service, companies like Klarna have implemented chatbots that resolve 70% of inquiries without human intervention, reducing their workforce by 15%. For professionals, this means purely operational skills will lose value, while critical thinking, creativity, and the ability to direct AI systems will become key competencies. A 2024 LinkedIn study revealed that job postings mentioning "AI" or "machine learning" have grown 150% in the last two years, while traditional administrative roles have fallen by 12%. This shift echoes the Industrial Revolution, but at a much faster pace: while mechanization took decades to transform agriculture, AI agents are reshaping entire sectors in months.
Consequences for the labor market
The ZDNet report suggests that while there will be a contraction in certain administrative and mid-level roles, new opportunities will emerge in areas such as agent supervision, prompt engineering, AI ethics, and automation strategy. Companies will seek professionals who know how to "orchestrate" hybrid teams of humans and machines. For instance, the role of "AI agent manager" already appears in job postings from firms like Deloitte and Accenture, with salaries ranging from $120,000 to $180,000 annually. Additionally, demand for AI ethics specialists has grown 200% since 2022, according to Indeed. However, the transition will not be equitable: workers with lower education levels and in developing countries may be more affected. A 2024 IMF report warns that AI could exacerbate inequality, as productivity gains concentrate in companies and countries with high technology adoption. To mitigate this, governments like Singapore's have launched massive reskilling programs, with a $500 million budget to train 100,000 workers in AI skills by 2026.
What should readers know?
To adapt to this new reality, workers must adopt a continuous learning mindset and specialize in skills complementary to AI. It's not about competing with algorithms but collaborating with them. Companies, for their part, must invest in reskilling and designing workflows that maximize human and AI potential. A success story is Brazilian company Nubank, which implemented AI agents for credit analysis and, instead of firing analysts, retrained them to supervise and improve the models, achieving a 40% reduction in loan approval time. Additionally, professionals should develop soft skills like empathy and ethical judgment, which machines cannot yet replicate. Training in areas like prompt engineering is already offered by platforms like Coursera and Udacity, with courses attracting thousands of students. In education, universities like Stanford and MIT have launched specialized programs in "AI and work," emphasizing the need for an interdisciplinary approach.
"Automation will not eliminate all jobs, but it will profoundly transform the nature of work. Professionals who understand how to direct AI agents will be in a privileged position." — ZDNet
In summary, the autonomous business is not an apocalyptic prophecy but an evolution that demands adaptation. Data indicates that the most successful companies will be those that integrate AI agents as partners, not substitutes, and invest in developing their human capital. The key lies in collaboration: while AI handles efficiency, humans must focus on innovation, strategy, and purpose. As Microsoft CEO Satya Nadella noted in a recent interview: "It's not about AI versus humans, but AI with humans." The future of work will not be without employment, but with radically different jobs, and preparation begins today.