In his 1993 e book “Managing with Twin Methods,” Derek Abell made a daring argument for his time: operating the enterprise and altering the enterprise should not sequential actions — they should occur in parallel. He wrote that altering the enterprise requires a transparent imaginative and prescient of the longer term and a method for a way the group should evolve to fulfill it.
That is tough within the age of AI, the place there are not any cookie-cutter roadmaps ahead. And it is particularly arduous for CIOs who — now anticipated to run and alter the enterprise on the identical time — nonetheless lack in lots of instances the deep enterprise partnerships wanted to do each nicely.
The hole usually begins with HR. In a current interview, Jonathan Feldman, CIO for Wake County, N.C., stated, “IT is essentially a individuals enterprise — and that with out a sturdy partnership with HR, CIOs threat falling quick.”
Within the AI period, this partnership is important, not non-obligatory. As companions, CIOs and HR leaders can outline and form the way forward for work for his or her corporations, in shut alignment with their CEOs. The danger of inaction is important.
Organizations that fail to adapt will face increased prices than opponents, battle to construct the workforce they want, and lack the pace required to compete in an more and more AI-driven world.
This text focuses on three areas CIOs should tackle in parallel to compete:
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How work is altering throughout roles and capabilities.
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How techniques should evolve to help AI-augmented work.
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What abilities staff might want to stay related.
Job disruption and workforce shifts
Final November, a 2025 Stanford College examine led by Dr. Erik Brynjolfsson utilizing information from tens of millions of ADP payroll data discovered that AI is already driving labor market shifts. Early-career staff in AI-exposed occupations are experiencing a 16% decline in employment, whereas employment for skilled staff stays secure to date. To be clear, employment modifications are concentrated in occupations the place AI automates relatively than augments labor.
With out query, AI will have an effect on duties, occupations and industries in several methods, changing work in some, augmenting others, and reworking nonetheless others. Professions already affected on the hiring stage embrace software program builders and customer support representatives. Extra skilled staff haven’t been disrupted on the identical fee, regardless of being much less prone to embrace AI to reinforce their work. Generative AI instruments like Claude and Open AI fashions are already demonstrating positive aspects in private productiveness.
The query CIOs and their HR companions have to reply is: which enterprise processes and duties inside the enterprise might be automated, augmented, or modified, and — over time — what work will appear like if brokers deal with execution. Within the longer-term agentic world, people might be accountable for architecting work, placing collectively governance constructions (tips, guardrails, and requirements), and managing how brokers do their execution. On this section, Ian Beacraft stated in his South by Southwest speak just a few weeks in the past, we transfer to agentic organizations.
Which work will get automated, augmented, rebuilt
To navigate the workforce shift, CIOs ought to activity their enterprise architects to take their maps of enterprise capabilities and enterprise processes and decide which might be automated, augmented, or modified. In apply, this makes enterprise structure the mechanism for redesigning work. In lots of instances, this needs to be executed utilizing future-state maps that replicate how AI can rework working fashions and create new worth propositions.
With these in hand, CIOs, together with their HR companions and AI-skilled architects, ought to consider job abilities, decide which will be automated or augmented with AI, and align them to job descriptions.
Position of enterprise architects
Enterprise architects can assist by relating maps of enterprise capabilities, abilities, and job descriptions. To be clear, EAs are in an help position; they need to not personal the workforce or job redesign immediately.
As a substitute, EAs ought to join the dots throughout enterprise capabilities, processes, techniques, information, the working mannequin and governance, serving to to tell position and abilities modifications alongside HR and the enterprise.
This collective effort ought to lead to two issues: first, figuring out extremely automated jobs; second, defining new job classifications that may mix job duties from partially automated jobs or for roles that may handle agent-driven work and efficiency. This can be crucial job that enterprise architects ever carry out — a rebuilding of the whole enterprise.
Programs should help AI-augmented work
With this accomplished, the subsequent logical query to contemplate is how techniques needs to be designed to raised help augmented jobs.
For these positions, the query that CIOs, CHROs, EAs and CEOs want to contemplate is what techniques should have the ability to do to help augmented work — and the place they fall quick at present.
These are large questions that should be answered collaboratively. As soon as once more, enterprise architects have to take heart stage.
12 abilities CIOs say staff want to remain related
Lastly, I requested CIOs concerning the abilities that staff ought to develop to be related in an AI-driven future. Their solutions had been synthesized into 12 ability suggestions.
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AI fluency. Perceive how AI fashions work — how they ingest, course of and validate information — and the place their limitations lie.
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Human judgment. Apply important pondering to evaluate AI outputs, particularly when one thing feels off or incomplete.
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Drawback-solving. Capability to border the suitable questions and use AI to speed up higher, extra knowledgeable choices.
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Moral accountability and AI security consciousness. Perceive how AI is used responsibly, with consideration to bias, threat, accountability and governance.
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Adaptability. Capability to repeatedly regulate to quickly evolving instruments, workflows and enterprise expectations.
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Steady studying mindset. Dedication to ongoing ability improvement as AI reshapes roles and required capabilities.
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Enterprise acumen. Perceive core enterprise targets, processes and worth drivers to make sure AI delivers significant outcomes.
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Course of and techniques pondering. Capability to reimagine workflows end-to-end — transferring from remoted duties to built-in, AI-enabled outcomes.
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Creativity and innovation. Establish new information units, use instances and methods AI can unlock worth — not simply optimize present work.
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Communication and translation abilities. Bridge technical and enterprise worlds by explaining AI ideas in clear, actionable phrases.
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Cross-functional collaboration. Work successfully throughout IT, HR and enterprise items as AI turns into embedded in each operate.
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Final result orientation. Deal with constructing techniques that ship predictive insights and measurable enterprise impression.
This can be a sturdy listing. Clearly, the diploma of fluency and course of and techniques pondering might be completely different for IT and enterprise staff. However all staff should be AI savvy to a level.
What CIOs cannot afford to get unsuitable
This text argues that it is a second for CIOs to step up and companion deeply throughout the group. It additionally highlights a important alternative for enterprise architects to assist outline the trail ahead. Delivering on this chance would require self-discipline and powerful collaboration. Success will rely on constructing the correct mix of abilities. The winners within the AI period will not be outlined by technical depth alone, however by their capability to mix human capabilities — judgment, creativity, ethics — with AI as a companion to drive enterprise outcomes.
