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 will not be sequential actions — they should occur in parallel. He wrote that altering the enterprise requires a transparent imaginative and prescient of the long run and a method for the way the group should evolve to satisfy it.
That is troublesome within the age of AI, the place there are not any cookie-cutter roadmaps ahead. And it is particularly exhausting for CIOs who — now anticipated to run and alter the enterprise on the identical time — nonetheless lack in lots of circumstances the deep enterprise partnerships wanted to do each properly.Â
The hole typically begins with HR. In a latest interview, Jonathan Feldman, CIO for Wake County, N.C., mentioned, “IT is basically a folks enterprise — and that and not using a robust partnership with HR, CIOs danger falling quick.”Â
Within the AI period, this partnership is essential, not non-compulsory. 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.Â
Organizations that fail to adapt will face increased prices than rivals, wrestle to construct the workforce they want, and lack the velocity required to compete in an more and more AI-driven world.Â
This text focuses on three areas CIOs should handle 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.Â
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What expertise employees might want to stay related.Â
Job disruption and workforce shifts
Final November, a 2025 Stanford College examine led by Dr. Erik Brynjolfsson utilizing information from hundreds of thousands of ADP payroll data discovered that AI is already driving labor market shifts. Early-career employees in AI-exposed occupations are experiencing a 16% decline in employment, whereas employment for knowledgeable employees stays secure up to now. To be clear, employment adjustments are concentrated in occupations the place AI automates fairly than augments labor.Â
With out query, AI will have an effect on duties, occupations and industries in numerous methods, changing work in some, augmenting others, and reworking nonetheless others. Professions already affected on the hiring stage embody software program builders and customer support representatives. Extra skilled employees haven’t been disrupted on the identical charge, regardless of being much less prone to embrace AI to enhance their work. Generative AI instruments like Claude and Open AI fashions are already demonstrating positive factors in private productiveness.Â
The query CIOs and their HR companions must reply is: which enterprise processes and duties inside the enterprise might be automated, augmented, or modified, and — over time — what work will seem like if brokers deal with execution. Within the longer-term agentic world, people might be chargeable for architecting work, placing collectively governance constructions (tips, guardrails, and requirements), and managing how brokers do their execution. On this part, Ian Beacraft mentioned in his South by Southwest speak just a few weeks in the past, we transfer to agentic organizations.Â
Which work will get automated, augmented, rebuiltÂ
To navigate the workforce shift, CIOs ought to process 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 circumstances, this must be completed utilizing future-state maps that mirror how AI can remodel working fashions and create new worth propositions.Â
With these in hand, CIOs, together with their HR companions and AI-skilled architects, ought to consider job expertise, decide which could be automated or augmented with AI, and align them to job descriptions.Â
Position of enterprise architectsÂ
Enterprise architects might help by relating maps of enterprise capabilities, expertise, and job descriptions. To be clear, EAs are in an help function; they need to not personal the workforce or job redesign immediately.Â
As an alternative, EAs ought to join the dots throughout enterprise capabilities, processes, techniques, information, the working mannequin and governance, serving to to tell function and expertise adjustments alongside HR and the enterprise.
This collective effort ought to end in 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 complete enterprise.
Programs should help AI-augmented workÂ
With this accomplished, the following logical query to think about is how techniques must be designed to raised help augmented jobs.Â
For these positions, the query that CIOs, CHROs, EAs and CEOs want to think about is what techniques should be capable of do to help augmented work — and the place they fall quick at this time.
These are large questions that have to be answered collaboratively. As soon as once more, enterprise architects must take heart stage.
12 expertise CIOs say employees want to remain relatedÂ
Lastly, I requested CIOs concerning the expertise that employees ought to develop to be related in an AI-driven future. Their solutions had been synthesized into 12 talent 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 essential pondering to evaluate AI outputs, particularly when one thing feels off or incomplete.
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Downside-solving. Skill to border the best questions and use AI to speed up higher, extra knowledgeable selections.
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Moral duty and AI security consciousness. Perceive how AI is used responsibly, with consideration to bias, danger, accountability and governance.
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Adaptability. Skill to repeatedly modify to quickly evolving instruments, workflows and enterprise expectations.
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Steady studying mindset. Dedication to ongoing talent 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. Skill 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 circumstances and methods AI can unlock worth — not simply optimize current work.
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Communication and translation expertise. 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 perform.
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End result orientation. Concentrate on constructing techniques that ship predictive insights and measurable enterprise impression.
This can be a robust listing. Clearly, the diploma of fluency and course of and techniques pondering might be completely different for IT and enterprise employees. However all employees should be AI savvy to a level.Â
What CIOs cannot afford to get flawedÂ
This text argues that this can be a second for CIOs to step up and associate deeply throughout the group. It additionally highlights a essential 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 expertise. The winners within the AI period will not be outlined by technical depth alone, however by their capacity to mix human capabilities — judgment, creativity, ethics — with AI as a associate to drive enterprise outcomes.
