HFS on Artificial Intelligence

A collection of the latest views from the HFS analyst team on artificial intelligence.

More HFS Artificial Intelligence Research

Highlight Report

Adopt “execution intelligence” to close your change management gap

Execution intelligence gives transformation leaders real-time visibility to close the change management gap stalling AI ROI.

Point of View

CPOs, map your sovereignty risk before geopolitics does it for you

Digital sovereignty is now a CPO supply chain risk: four pillars to map exposure and five contract moves before the next renewal.

Point of View

Cost obsession is over: Tokenomics and outcomes redefine how enterprises buy AI

How agentic AI moves enterprises from cost obsession to outcome value, with tokenomics replacing per-seat pricing.

Strategic Snapshot

The CPO mandate: Seize the AI moment and claim the strategy seat

HFS Research, in partnership with AOP, surveys 73 procurement executives across 9 industries. Roughly 25% of procurement functions hold a consistent strategic

Horizons Report

HFS Horizons: Agentic Technology, 2026

AWS, Google Cloud, Microsoft, Salesforce, and ServiceNow lead HFS Horizons: Agentic Technology, 2026 as Horizon 3 Market Leaders.

Market Impact Report

Autonomy requires trust in AI

Only 22% of enterprises authorize domain or broad AI agent autonomy; accountability, not capability, is the scaling barrier.

Highlight Report

Find outcome accountability in HDS and GlobalLogic’s NewCo merger

The merger offers end-to-end control to power the shift to outcome-based contracts.

Point of View

Build cognitive resilience now, or watch your workforce stop thinking

46% of leaders say AI reliance is increasing beyond comfortable levels, making cognitive resilience the core CHRO mandate.

Point of View

Decide who owns the AI control plane: Oracle, Microsoft, SAP, or you?

CIOs must decide who owns the AI control plane as Oracle, Microsoft, and SAP compete to orchestrate enterprise execution.

Point of View

Your AMS contract is a museum piece; four metrics replace your SLA dashboard

Effort-based AMS contracts are obsolete; CIOs need a 4P framework to capture value in the $1.5T Services-as-Software era.

Horizons Report

HFS Horizons: Data Modernization and AI, 2026

Only 21% of enterprises generate new revenue from data and AI, per HFS Horizons 2026 evaluation of 40 providers.

Point of View

When Oracle’s AI moves faster than your operating model, the bill lands on the CIO

Oracle's AI is outpacing CIO operating models; HFS's Services-as-Software™ playbook closes the AI velocity gap before renewal.

Market Impact Report

Stop scaling agentic AI on operating models built for control

Scaling agents is easy; scaling autonomy demands structural redesign across the enterprise.

Challengers' Code

Banking and payments firms, update your transformation playbook to be domain-native

Opus is embracing the Services-as-Software™ model to challenge the status quo.

Highlight Report

Drop the pilots and build runtime for AI in production

Rackspace is seeking to become your governed runtime for enterprise AI, focused on regulated and latency-sensitive sectors.

Point of View

The problem is not tech; BFSI needs an operating model to truly scale AI

BFSI CIOs must focus on redesigning decision rights, workflow ownership, evaluation, and controls to scale AI.

Point of View

Bust out of the LLM black box with the HFS sovereign enterprise AI stack

Reclaim your firm's intelligence with a new sovereign AI enterprise stack.

Challengers' Code

Scaling enterprise AI requires an always-on intelligence layer: the iOPEX model

CIOs are questioning if traditional services result in business outcome, creating demand for AI-native specialists such as iOPEX.

Hot Tech

HFS Services-as-Software™ Hot Tech: Hazel AI

Hazel AI is an agentic modernization platform taking an HFS Services-as-Software approach to data platform and ERP modernizations.

Point of View

Stop automating process debt to get better outcomes

Agentic AI exposes process debt rooted in tacit knowledge, limiting outcomes unless decision logic is made executable.

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