AI adoption in the technical sector has reached a turning point and the newest Polse Pulse Pole from EY Technology offers a fascinating view of how fast things move. In this episode I am accompanied by Ken Englund, partner at EY, to unpack the findings of the survey and what they reveal over the next two years of AI in Enterprise. Led with 500 senior technical managers of companies with more than 5,000 employees, the survey focuses on AI agents, autonomous implementations and the shifting priorities that form investment strategies.
Ken shares why half of the respondents expect that more than 50% of their AI implementations will be completely autonomous within 24 months, and why optimism around the potential of AI will remain high. He also explains a remarkable shift of last year’s heavy focus on large language models on applied AI and agent systems that have been designed to process real work flows in practice. Although 92% of the technical leaders are planning to increase the AI expenditure in 2026, the investment is not only about technology – it is about competitiveness, customer experience and strategic coordination.
One of the more surprising collection restaurants is the human side of the comparison. Despite heads that predict widespread job losses, only 9% of respondents anticipate in the next six months, against 20% last year. Instead, companies are balanced to balance existing employees with the acquisition of new AI talent, with roles that arise in areas such as MLOPS, AI-product management and Forward-Fingerte Engineering.
Ken and I also dive into the growing weight of governance, data privacy and safety. With autonomous agents, more are embedded in core activities, boards, CFOs and audit teams viewed the trust frameworks closer without wanting to delay innovation. The conversation emphasizes a critical bending point: most companies are still in the “existing workflows” phase, but the real breakthroughs will come when AI makes completely new business models possible.
This episode is a snapshot of a fast evolution sector – where enthusiasm is tempered by learned lessons and where the path from pilot to production is still full of challenges.
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