Major employers are redesigning workflows, introducing AI agents, and changing how they evaluate employees as artificial intelligence becomes part of everyday business operations.
WHAT’S HAPPENING
At Fortune’s inaugural AIQ Summit, executives from Hewlett Packard Enterprise (HPE), Palo Alto Networks, and Lennar discussed how artificial intelligence is reshaping business operations, employee responsibilities, and hiring practices.
According to research cited by ServiceNow, only 9% of organizations have made substantial progress implementing complex autonomous AI workflows, highlighting the gap between AI adoption and operational transformation.
HPE’s chief people officer, Stacy Dillow, emphasized that businesses must rethink how work is organized rather than simply introduce AI into existing processes.
Palo Alto Networks described using tools including NotebookLM, Claude, Gemini, and a customized AI agent to streamline internal operations and allow employees to find answers without relying on traditional support channels.
Companies are also changing recruitment practices, placing greater emphasis on demonstrated problem-solving abilities, adaptability, and practical skills.
WHY IT MATTERS
AI adoption is moving beyond individual productivity tools toward changes in how entire organizations operate.
Businesses can automate routine tasks, reduce administrative workloads, and give employees faster access to information.
However, introducing AI without redesigning workflows may limit its value.
The shift also changes workforce expectations. Employers increasingly need people who can solve problems, evaluate AI-generated information, and adapt as technology changes their responsibilities.
The competitive advantage may depend as much on how companies organize and train employees as on the AI systems they purchase.
WHO BENEFITS
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Businesses adopting AI effectively: Can streamline operations, reduce repetitive tasks, and improve productivity.
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Employees developing AI skills: Gain opportunities to take on responsibilities requiring judgment, creativity, and problem-solving.
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AI technology providers: Benefit from growing demand for business automation and customized AI agents.
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Workforce training organizations: Gain opportunities to help employees and businesses develop practical AI capabilities.
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Customers: May receive faster responses and more efficient service as internal operations improve.
WHO LOSES
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Businesses resisting operational change: Risk falling behind competitors using AI to improve efficiency.
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Workers relying exclusively on repetitive skills: May face changing responsibilities or reduced demand for certain tasks.
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Job applicants unable to demonstrate practical abilities: May struggle as employers place greater emphasis on skills-based assessments.
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Organizations investing in AI without employee training: Risk underutilizing technology and failing to achieve expected returns.
WHAT HAPPENS NEXT
Companies are expected to expand the use of AI agents across internal support, administration, customer service, and other business functions.
Hiring practices may increasingly incorporate practical demonstrations, simulations, and problem-solving exercises rather than relying entirely on resumes and traditional interviews.
Employers will also face growing pressure to provide training while employees take greater responsibility for keeping their skills current.
The next phase of workplace AI will be measured not simply by how many tools companies deploy, but by how effectively they redesign operations and develop their people.
The larger shift is clear: AI is changing more than how work gets done. It is changing the skills businesses value and how employees demonstrate their worth.