SAP snaps wallet shut for travel and hiring so it can keep shoveling cash into AI ⁠45%

By Lindsay Clark⁠0%

7/2/2026, 9:01:00 AM

BS Summary: This article contains 22 faulty reasoning types, including Optimism Bias, Appeal to Authority, and Halo Effect, with Attempt to Sell a Product or Service as the most egregious example at 31.9% saturation with 115 hits. Analysis detected 1,099 faulty-reasoning hits from 360 analyzed words, generating a BS Score of 47.6% and a BS Rank of ⁠45% (12,107 of 21,887 articles). This article is better (less manipulative) than 55.30% of the article peer group.

SAP is cutting hiring and business travel to boost its investment in AI amid intensifying competition in the enterprise application market. 
According to an internal email, SAP is set to "exclusively focus new hiring on selected profiles only, mainly core AI roles, that are critical for our long-term success." 
The missive, seen by Bloomberg, said travel unrelated to AI development would also be put on hold. 
The German software giant will also seek to cut spending with suppliers. 
In a statement, an SAP spokesperson told The Register: "SAP continually reviews its investments to ensure resources are focused on the areas that will drive long-term customer value and innovation. 
As part of this approach, we are prioritizing investments in AI-related capabilities, talent, and technologies while applying greater discipline to hiring, external spending, and internal travel. 
Customer-facing activities and critical AI initiatives remain fully supported." 
In May, SAP introduced the Autonomous Enterprise concept, backed by a new SAP Business AI Platform for building and deploying enterprise AI grounded in "real business context" from its ERP, CRM, and HCM applications, and elsewhere in the enterprise. 
New products include Joule Studio 2.0, which helps developers create and manage AI agents. 
Agents created in Joule Studio will natively support Model Context Protocol and Agent2Agent to improve interoperability among AI agents, tools, and data sources. 
This allows SAP to connect and collaborate with third-party tools and agents. 
Other features, such as agentic orchestration, are also designed to run across hybrid IT environments, while real-time data ingestion supports "context-aware processes" across SAP and third-party systems. 
However, its big push for AI relevance comes despite SAP missing its earlier self-imposed targets to get users to the cloud and SaaS. 
In 2022, then-CFO Luka Mucic told investors that SAP expected support revenue to fall to €8.5 billion by 2025, down from around €11.5 billion in 2021, as users move from on-prem licenses and support to cloud subscriptions. 
But the 2025 full-year figure for on-prem software support is €10.5 billion, down 7 percent from 2024's €11.29 billion and €2 billion off SAP's target. 
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Article reasoning-pattern comparisonThis article: 15.6%Lindsay Clark: 2.0%The Register: 3.3%Confirmation Bias15.6%This article: 17.2%Lindsay Clark: 2.7%The Register: 1.0%Anchoring Bias17.2%This article: 4.7%Lindsay Clark: 3.5%The Register: 3.2%Availability Heuristic4.7%This article: 3.3%Lindsay Clark: 1.6%The Register: 1.1%Representativeness Heuristic3.3%This article: 6.4%Lindsay Clark: 1.5%The Register: 1.3%Hindsight Bias6.4%This article: 0.0%Lindsay Clark: 2.4%The Register: 2.3%Overconfidence Bias0.0%This article: 17.5%Lindsay Clark: 8.2%The Register: 5.0%Framing Effect17.5%This article: 0.0%Lindsay Clark: 0.0%The Register: 0.7%Loss Aversion0.0%This article: 0.0%Lindsay Clark: 0.0%The Register: 0.8%Status Quo Bias0.0%This article: 0.0%Lindsay Clark: 0.0%The Register: 0.2%Sunk Cost Effect0.0%This article: 27.2%Lindsay Clark: 5.0%The Register: 3.0%Optimism Bias27.2%This article: 0.0%Lindsay Clark: 4.2%The Register: 2.6%Pessimism Bias0.0%This article: 17.8%Lindsay Clark: 8.2%The Register: 8.2%Negativity Bias17.8%This article: 7.2%Lindsay Clark: 2.6%The Register: 1.9%Self-Serving Bias7.2%This article: 0.0%Lindsay Clark: 0.0%The Register: 0.8%Fundamental Attribution Error0.0%This article: 0.0%Lindsay Clark: 0.0%The Register: 0.1%Actor-Observer Bias0.0%This article: 0.0%Lindsay Clark: 0.0%The Register: 0.4%In-Group Bias0.0%This article: 0.0%Lindsay Clark: 0.0%The Register: 0.4%Out-Group Homogeneity Bias0.0%This article: 23.1%Lindsay Clark: 4.0%The Register: 1.4%Halo Effect23.1%This article: 0.0%Lindsay Clark: 0.0%The Register: 0.1%Horn Effect0.0%This article: 0.0%Lindsay Clark: 0.0%The Register: 0.0%Dunning-Kruger Effect0.0%This article: 6.9%Lindsay Clark: 1.7%The Register: 1.9%Recency Bias6.9%This article: 0.0%Lindsay Clark: 0.0%The Register: 0.3%Primacy Effect0.0%This article: 0.0%Lindsay Clark: 0.0%The Register: 0.1%Blind-Spot Bias0.0%This article: 0.0%Lindsay Clark: 0.0%The Register: 0.7%Ad Hominem0.0%This article: 0.0%Lindsay Clark: 0.7%The Register: 0.2%Straw Man0.0%This article: 26.4%Lindsay Clark: 4.0%The Register: 4.2%Appeal to Authority26.4%This article: 6.4%Lindsay Clark: 1.7%The Register: 1.7%False Dilemma6.4%This article: 0.0%Lindsay Clark: 2.7%The Register: 1.2%Slippery Slope0.0%This article: 8.3%Lindsay Clark: 1.2%The Register: 0.1%Circular Reasoning8.3%This article: 6.9%Lindsay Clark: 4.9%The Register: 6.2%Hasty Generalization6.9%This article: 0.0%Lindsay Clark: 0.4%The Register: 0.3%Red Herring0.0%This article: 0.0%Lindsay Clark: 0.0%The Register: 0.7%Bandwagon0.0%This article: 0.0%Lindsay Clark: 4.4%The Register: 3.0%Appeal to Emotion0.0%This article: 0.0%Lindsay Clark: 0.0%The Register: 0.9%Begging the Question0.0%This article: 19.4%Lindsay Clark: 3.6%The Register: 2.0%Post Hoc (False Cause)19.4%This article: 0.0%Lindsay Clark: 0.0%The Register: 0.2%Tu Quoque0.0%This article: 0.0%Lindsay Clark: 0.0%The Register: 0.7%Burden of Proof0.0%This article: 10.8%Lindsay Clark: 0.9%The Register: 0.2%Appeal to Nature10.8%This article: 0.0%Lindsay Clark: 0.0%The Register: 0.3%Composition/Division0.0%This article: 0.0%Lindsay Clark: 0.0%The Register: 2.2%Anecdotal0.0%This article: 0.0%Lindsay Clark: 0.0%The Register: 0.0%No True Scotsman0.0%This article: 20.8%Lindsay Clark: 3.4%The Register: 2.1%Ambiguity (Equivocation)20.8%This article: 0.0%Lindsay Clark: 0.0%The Register: 0.0%Gambler’s Fallacy0.0%This article: 0.0%Lindsay Clark: 0.4%The Register: 0.1%Middle Ground0.0%This article: 0.0%Lindsay Clark: 0.0%The Register: 0.1%Personal Incredulity0.0%This article: 0.0%Lindsay Clark: 0.0%The Register: 0.2%Special Pleading0.0%This article: 0.0%Lindsay Clark: 0.7%The Register: 0.2%Genetic Fallacy0.0%This article: 7.8%Lindsay Clark: 3.5%The Register: 2.3%Unattributed Quote7.8%This article: 7.8%Lindsay Clark: 1.6%The Register: 1.3%Quote-first Misdirection7.8%This article: 11.7%Lindsay Clark: 10.6%The Register: 7.3%Biased Writer Voice11.7%This article: 0.0%Lindsay Clark: 0.7%The Register: 1.5%Indoctrination0.0%This article: 0.0%Lindsay Clark: 0.9%The Register: 0.2%Politically Left Leaning Bias0.0%This article: 0.0%Lindsay Clark: 1.8%The Register: 0.1%Politically Right Leaning Bias0.0%This article: 31.9%Lindsay Clark: 10.0%The Register: 2.5%Attempt to Sell a Product or S…31.9%

360 words analyzed.

Speakers

2speakers28%attributed speech258writer words
Voice mapSelect a segment to jump to its words
Writer's voice • 16 words • 100.0% coverageWriter's voice • 21 words • 0.0% coverageWriter's voice • 28 words • 100.0% coverageWriter's voice • 17 words • 0.0% coverageWriter's voice • 12 words • 0.0% coverageSAP • 30 words • 0.0% coverageSAP • 26 words • 100.0% coverageSAP • 9 words • 0.0% coverageWriter's voice • 39 words • 100.0% coverageWriter's voice • 14 words • 100.0% coverageWriter's voice • 23 words • 100.0% coverageWriter's voice • 12 words • 100.0% coverageWriter's voice • 27 words • 100.0% coverageWriter's voice • 23 words • 0.0% coverageLuka Mucic • 37 words • 0.0% coverageWriter's voice • 25 words • 0.0% coverageWriter's voice • 1 words • 0.0% coverage
Selected voice

Luka Mucic

100%flagged-word coverage
37 attributed words36% of attributed speech100% writer coverage
0%22.5%45.0%Attempt to Sell a Product -44.6 ptsWriter: 44.6%Luka Mucic: 0.0%0.0%Unattributed Quote-10.9 ptsWriter: 10.9%Luka Mucic: 0.0%0.0%Quote-first Misdirection-10.9 ptsWriter: 10.9%Luka Mucic: 0.0%0.0%Biased Writer Voice-6.2 ptsWriter: 6.2%Luka Mucic: 0.0%0.0%

Attribution is sentence-level. Pattern percentages are calculated only from words assigned to that voice.

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Analysis

Hover over highlighted words in the article to view the associated bias or fallacy analysis.