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Premium Research Jun 2026
... AI is driving businesses to create “bad jobs” that are overly taxing, isolating or simply unsustainable. The resulting talent costs and delayed AI value will fall on HR to fix. CHROs can use this research to spot emerging bad jobs and guide the business to create better ones as work evolves. Insights ...

Analyst(s):   Kaelyn Lowmaster
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Research Jun 2026
... Access Insights Already a Gartner client? AI in sales delivers efficiency while transformation stalls it because it runs on generic context. CSOs change this by codifying how the company wins, its sales methodology, deal strategy and commercial logic into a revenue genome that the entire operation expresses ...

Analyst(s):   George Tobias   |   Sandhya Mahadevan   |   Paul Vignati
Research May 2026
... Gartner client? As process-node advances become harder to monetize on their own, the foundry advantage is shifting to the ability to industrialize the full AI system stack — packaging, power delivery, test and optical interconnect. This note is for product leaders at fabless semiconductor vendors, hyperscalers ...

Analyst(s):   Yashika Goyal   |   Ganesh Ramamoorthy
Research Jun 2026
... Gartner client? Product marketers face significant hurdles in preserving communication consistency across distributed GTM functions, particularly as AI tools intensify the speed of content generation. To address this, product marketing leaders must transition toward structured messaging playbooks that ...

Analyst(s):   Mark Stanyer
Research Jul 2026
... Access Insights Already a Gartner client? Agentic AI will drive an I&O operating model shift over the next three to five years, but successful adoption will depend less on model intelligence and more on the readiness of operational data, automation pipelines, governance controls, team skills, org structures ...

Analyst(s):   George Spafford   |   Cameron Haight   |   Jonathan Forest   |   Ashish Banerjee
Premium Research May 2026
... Gartnerのデータ&アナリティクス サミットにおいて、「AIはビジネス・インテリジェンス (BI) を置き換えるだろうか」というディベートが行われた。最高データ/アナリティクス責任者はBIの将来を検討すべきだが、その議論は単にツールの観点にとどまるべきではない。そうではなく、BIプログラム全体の役割を検証する必要がある。 インサイトの要約 論点 インパクト 影響 推奨リサーチ Gartner Insights Abstract ...

Analyst(s):   Tatsuya Ichishi
Research Jun 2026
... firms face geopolitical uncertainty, market volatility and capital constraints. Choosing the right AI applications will be essential to maintain competitiveness. This Hype Cycle helps CIOs prioritize AI innovations amid evolving business objectives and tighter investment conditions. Strategic Planning ...

Analyst(s):   Ricardo Chang   |   Simon Cushing
Research Jun 2026
... for brands as they wrestle with resource constraints. Digital commerce leaders must leverage AI to scale content creation and contribute to product visibility and conversion improvements. Learn how brands use AI to create content that creates a commercial advantage. Insights at a Glance Impact Actions ...

Analyst(s):   Ant Duffin
Research May 2026
... Access Insights Already a Gartner client? AI-induced memory shortages are causing hardware prices to jump over 125% of the cost, while hardware quotes are treated only as indicative with final pricing confirmed at shipment; all of which is wreaking havoc on IT’s 2026 budgets. IT SPVM leaders should use ...

Analyst(s):   James Smith   |   Joseph Unsworth   |   Mike Cisek   |   Steve Kleynhans   |   Chandra Mukhyala
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