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Premium Research Jul 2026
... As AI reshapes HR work ownership, HRBPs need clarity on how their role should evolve. This tool helps HRBPs assess their current portfolio against Gartner’s future ownership model and get recommendations on what to elevate, shift, monitor or build for their future work portfolio. When to Use Directions ...

Analyst(s):   Satyanshu Sapra   |   Abhinandan Sood
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Research Aug 2026
... Access Insights Already a Gartner client? Forcing significant AI responsibilities into merged roles drives severe talent burnout and hyperinflates senior workforce costs. Product leaders must deploy tiered team structures and modular subteam frameworks to optimize human capital, protect margins, and ...

Analyst(s):   Laura Heath
Premium Research Aug 2026
... A great AI coding agent does not guarantee successful application modernization. We address top questions from CIOs and software engineering leaders, explaining clear market definitions and technical criteria for real-world software modernization needs rather than developer tool preferences. Insights ...

Analyst(s):   Wei Jin   |   Prasanna Lakshmi Narasimha   |   Erin Khoo   |   Tigran Egiazarov   |   Deacon D.K Wan
Premium Research Aug 2026
... AI adoption within product management is blurring the lines between product managers and product owners. By 2030, these roles will merge, but chief product officers who take steps now to prepare for this hybrid role will outperform peers in talent retention and competitive agility. Insights at a Glance ...

Analyst(s):   Charles Sutherland   |   Dan Tolan
Research Aug 2026
... Access Insights Already a Gartner client? The budget for AI services is now decisively in the hands of business decision makers. Tech services leaders that don’t target buyers beyond the CIO will forfeit market share to competitors who better meet business buyers’ requirements for measurable results ...

Analyst(s):   Kevin Lindsay   |   Robert Brown   |   Ben Fieselmann
Research Oct 2026
... Access Insights Already a Gartner client? AI capability is accelerating. Buyer value is not. Closing the projected $3 trillion annual gap and growing requires software product leaders to move beyond copilots and interfaces and control governed execution, measurable outcomes and the economics of work ...

Analyst(s):   Robert Brown   |   Alastair Woolcock
Premium Research Oct 2026
... Software engineering leaders face administrative friction that consumes capacity that should be used for leadership tasks. Implementing an agentic AI chief of staff delegates administrative workflows, freeing leadership capacity to resolve organizational roadblocks, engage stakeholders, and drive strategic ...

Analyst(s):   Akis Sklavounakis
Webinar On-Demand
... framework, leveraging AI to turn market signals into actionable decisions. •Explore the new imperative for AI literacy: what skills, mindsets and practices product marketing leaders must develop to unlock the full value of AI adoption. •Identify the core capabilities of the AI-literate product marketer ...

Analyst(s):   Rahim Kaba   |   Jen Kady
Premium Research Jul 2026
... Emerging AI tools have the potential to transform marketing and sales collaboration by enabling real-time alignment. This research highlights AI-powered competitive and market intelligence platforms that enable CMOs to equip marketing teams to drive revenue growth through dynamic insights, proactive ...

Analyst(s):   Upasna Chandna
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