Salesforce will hire no more software engineers in 2025, says Marc Benioff
Salesforce CEO Marc Benioff’s claim that the company will hire no more software engineers in 2025, thanks to 30% productivity gains from AI and a shift toward “agentic” systems, is met with deep skepticism. Commenters argue this is largely marketing for Salesforce’s Agentforce product and a public rationale for an existing hiring freeze and cost-cutting, noting that the company still lists engineering roles and continues acquiring products. The conversation widens into concerns about an already weak software job market, doubts about headline productivity numbers from AI, and the irony that Salesforce plans to reduce engineers and support staff while hiring thousands more salespeople to sell its AI story.
Reality of the “no more engineers in 2025” claim
- Many commenters call the statement misleading or “BS.”
- Users link to Salesforce’s careers site showing 100+ current software engineering openings.
- Ex‑ and current employees say there has been a de facto engineering hiring freeze since major layoffs in early 2023, but not an absolute stop.
- Some suggest many postings are “ghost jobs,” backfills only, or openings tied to immigration processes (e.g., PERM), not real net hiring.
Motives: AI marketing and financial optics
- Widespread view that the statement is primarily marketing for Salesforce’s “Agentforce” AI and part of a broader AI hype narrative.
- Several see it as cover for cost-cutting and margin optimization after shareholder pressure and earlier layoffs.
- Some note this lets leadership claim AI-driven efficiency while effectively signaling to investors that headcount growth is capped.
AI “30% productivity gain” claims
- Heavily doubted by most commenters.
- Some engineers report meaningful but task‑specific gains from LLMs (boilerplate, debugging, snippets), but not consistent 30%+ across a large org.
- A few note that at big companies, major productivity drag is process (build systems, approvals, inter‑team dependencies), not coding speed, so code‑assist AI has limited overall effect.
- One view: any 30–40% gains might be in narrow substeps (e.g., OCR or simple back‑office tasks) that are a tiny share of end‑to‑end work.
Impact on engineers and the job market
- Commenters fear announcements like this will encourage other executives to freeze hiring and depress software wages, even if AI is not actually replacing engineers.
- Some current employees see it as a warning sign to start job searching and anticipate more layoffs or offshoring.
- Broader context: job market already described as “bad and very competitive,” with macro factors (higher rates, post‑layoff glut, AI investment going to GPUs over labor).
Salesforce product, culture, and AI positioning
- Many criticize Salesforce as slow, over‑engineered, and reliant on heavy customization by consultants; integrations are described as complex and fragile.
- Several describe a pattern of chasing hype cycles (Einstein AI, Customer 360, Genie/Data Cloud, blockchain, NFT Cloud, IoT, now agents) largely as rebranding and sales stories.
- Some customers and implementers report poor support and failed or painful deployments, yet expect Salesforce to persist due to inertia and strong enterprise sales.
AI agents: support vs. sales
- Salesforce claims AI agents will reduce support engineering while it hires 1–2k more salespeople to sell AI.
- Many see an inconsistency: if agents are so capable, why can’t they sell themselves or replace some sales staff?
- Customer‑facing AI (support bots, IVRs) is widely described as worsening user experience, especially for complex issues.