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Purchasing Agents, Except Wholesale, Retail, and Farm Products

Scrub through 121 years of this role's history — from when it first emerged, through every wave of technology that reshaped it, to the cited projections for where it's heading next.

Ledger books + handwritten purchase orders (mercantile era)Ledger books + handwritten purchase orders (mercantile era)
Railway purchasing departments + telegraph order transmissionRailway purchasing departments + telegraph order transmission
Standardized purchase order forms + telephone + typewritten specificationsStandardized purchase order forms + telephone + typewritten specifications
IBM mainframe MRP (Material Requirements Planning) + EDIIBM mainframe MRP (Material Requirements Planning) + EDI
Just-in-Time supplier relationships + fax machine + early ERP (SAP R/2)Just-in-Time supplier relationships + fax machine + early ERP (SAP R/2)
Ariba e-procurement platform + B2B exchanges + SAP SRM (2002)Ariba e-procurement platform + B2B exchanges + SAP SRM (2002)
Source-to-Pay consolidation (S2P) + contract lifecycle management (Icertis) + spend analytics AISource-to-Pay consolidation (S2P) + contract lifecycle management (Icertis) + spend analytics AI
Generative AI procurement agents + COVID nearshoring + Russia-Ukraine sanctions layerGenerative AI procurement agents + COVID nearshoring + Russia-Ukraine sanctions layer
1925195019752000now

Drag the dot, click anywhere on the track, or use ← → arrow keys (Shift for 10-year jumps, PgUp/PgDn for 25).

2026
Known today as Purchasing Agents, Except Wholesale, Retail, and Farm Products (BLS SOC 13-1023)
US Employment
522K
O*NET-reported BLS OEWS 2024 employment for SOC 13-1023.00. This figure is the BLS baseline used for 2024-34 employment projections. Note: this likely encompasses a broader purchasing agents grouping than the strict 13-1023 cut — the O*NET employment figure sometimes reflects the broader SOC family. The 2024 employment includes pandemic-era supply chain disruption hiring (2020-2022 created sharp demand for procurement professionals to manage the COVID supply crisis, nearshoring acceleration, and Russia-Ukraine sanctions impacts) followed by normalization.
Median Annual Wage
$75,650
Source: BLS-OEWS
Generative AI procurement agents + COVID nearshoring + Russia-Ukraine sanctions layerTool of the era · Generative AI procurement agents + COVID nearshoring + Russia-Ukraine sanctions layer

The 2020-2022 COVID supply chain crisis was the sharpest stress test for purchasing agents in a generation. Global shipping collapsed, semiconductor lead times stretched to 52 weeks, and nearshoring / reshoring became a board-level imperative rather than a procurement thought experiment. Purchasing agents who had spent the 2010s optimizing lean global supply chains had to rebuild supplier networks for resilience rather than efficiency — a fundamentally different kind of work that required judgment, relationship capital, and country-risk assessment. The Russia-Ukraine war (February 2022) added a second shock: sanctions on Russian commodities (nickel, palladium, wheat, neon gas) required rapid supplier diversification that no algorithm had pre-planned. In 2023, generative AI arrived in procurement workflows: AI supplier discovery tools, AI-assisted RFP drafting, and AI contract summarization (Icertis, Sirion, DocuSign Insight) began automating what S2P platforms had left untouched — the qualitative judgment tasks of sourcing strategy, supplier evaluation, and contract negotiation framing. McKinsey's research on generative AI in procurement identified 25-40% productivity gains in specific procurement tasks. For purchasing agents, the AI wave creates the same split that Ariba created in 1999: those managing AI-assisted workflows and those whose transactional roles the AI absorbs.

BLS 2024-34 projects -2% for the combined purchasing agents and buyers group. O*NET records 5-6% growth for 13-1023 specifically — divergence that reflects the compression of lower-skill transactional roles and the concurrent growth in strategic sourcing and supply chain risk management roles that still carry the purchasing agent title.

Projection cone · present → 2034

What credible sources project

Scrub the slider past now to anchor each scenario on the scrubber. The spread you see below is the range of futures credible sources project for this role.

Supply chain reshoring / resilience scenario
→ 2030
+8%
The optimistic tail of the uncertainty cone models a scenario where nearshoring and supply-chain resilience investment — accelerated by COVID disruption (2020-2022), Russia-Ukraine sanctions (2022+), and US-China trade friction — creates sustained new demand for strategic procurement professionals. Building new domestic or near-shore supplier relationships requires more purchasing agent judgment, not less: qualification audits, capability assessments, multi-currency contract structures, and ongoing relationship management for new suppliers that global-sourcing models had automated via established vendor relationships. The CHIPS Act (August 2022) alone represents $52 billion in semiconductor manufacturing investment requiring procurement professionals to build domestic supply chains from scratch. This scenario is plausible but uncertain; it assumes policy continuity and that reshoring investment does not stall.
BLS / O*NET Occupational Outlook 2024-34
→ 2034
+5%
O*NET reports a "faster than average" 5-6% growth projection for SOC 13-1023.00 over the 2024-34 decade, with approximately 52,200 annual job openings. This is notably more optimistic than the broader purchasing managers, buyers, and agents group projection (which BLS reports at approximately -2% for the combined group), reflecting that the 13-1023 code captures strategic sourcing roles that are growing while the simpler transactional buyer roles decline. The BLS methodology models industry-occupation demand with productivity adjustments; the projection does not heavily discount AI-substitution risk for the judgment-intensive tasks that distinguish 13-1023 from automated purchasing workflows.
McKinsey Global Institute (2024) — generative AI in procurement
→ 2030
-8%
McKinsey research on generative AI in procurement workflows found 25-40% productivity gains in specific procurement tasks — RFP generation, supplier outreach drafting, contract review, and spend categorization. The -8% figure represents a curator estimate of net employment impact under a scenario where those productivity gains translate proportionally into headcount reduction in transactional procurement roles, partially offset by growth in strategic sourcing, supplier risk management, and AI-tool governance roles. McKinsey's framing is augmentation-first: AI makes each purchasing professional more productive, enabling smaller teams to manage larger spend volumes, rather than wholesale occupation elimination. The -8% reflects the net of productivity-driven headcount compression minus the growth in higher-skill procurement roles.
Eloundou et al. (2023) — GPTs are GPTs (LLM exposure)
→ 2033
-15%
Eloundou et al. (OpenAI / Penn / OpenResearch, published in Science 2024) rated purchasing and buying occupations HIGH on LLM exposure — text-heavy tasks including RFP drafting, contract summarization, supplier communication, specification writing, and spend-report narrative are squarely within LLM capability. The -15% figure represents the pessimistic cone edge for near-term task substitution concentrated in transactional procurement roles. The key uncertainty: Eloundou measures task-level LLM capability, not full-job substitutability. Supplier relationship management, risk assessment, and negotiation involve social intelligence and organizational judgment that current LLMs assist but do not replace. The net employment effect is genuinely uncertain; -15% represents the transactional-absorption scenario rather than a full-role collapse forecast.
Frey & Osborne (2013) — computerization risk
→ 2033
-25%
Frey & Osborne (Oxford Martin School, 2013) assigned Purchasing Agents a high probability of computerization — approximately 0.77 on a 0-1 scale, placing them in the upper quartile of automation risk across their 702-occupation dataset. The bottleneck analysis: purchasing agents scored low on the three bottleneck variables (creativity, social intelligence, perception/manipulation) and high on routine cognitive tasks. The -25% figure represents a curator estimate of the employment ceiling if F&O's probability were substantially realized over the projection horizon. F&O's prediction was partly vindicated: e-procurement platforms did automate the transactional core of the occupation, but strategic sourcing roles proved more durable than the model predicted — consistent with F&O's own caveat that high computerization probability does not predict headcount collapse, only task substitution.
Today, in this role

What's shifting in the work right now

The historical view above shows how this role has moved. This is the present-day detail: which AI tools are picking up which tasks, where the edge still is, and the natural directions this work can grow.

What's changing in your day

Three parts of your work where AI is already doing real lifting — and what stays yours.

AI is sitting alongside you here

Issue purchase orders and manage the PO lifecycle: review internal purchase requisitions for completeness and budget authorization, select pre-qualified suppliers from the approved vendor list or identify new sources, negotiate price and delivery terms, generate POs in the procurement system (Coupa, SAP Ariba, Oracle), and track acknowledgment, delivery commitment, and receipt confirmation. In 2026, Coupa Navi and SAP Ariba + Joule auto-generate and route compliant POs without agent touch for 60-80% of transactions in production environments — the Purchasing Agent's remaining task is managing the exception queue: non-catalog purchases, vendor-setup requests, threshold approvals, and split-shipment resolution.[2],[11],[9]

Tools picking this up
Where your edge is

PO processing automation is a net positive for career trajectory — it shifts your time from transaction entry toward the higher-value work that AI still cannot do (negotiation, supplier qualification, specification development). Build deep fluency in exception-queue management and procurement-policy configuration in your organization's platform (Coupa, SAP Ariba, or Oracle); the buyer who can both operate the AI and diagnose why it is routing exceptions incorrectly is significantly more valuable than one who can only process POs manually.

AI is sitting alongside you here

Analyze price proposals and market pricing to determine fair and reasonable cost: review supplier cost breakdowns and price justifications; compare proposed prices against historical purchase history, market benchmarks, and independent cost estimates; use AI spend analytics (Sievo, Coupa dashboards) to benchmark category pricing against cross-industry comparisons; document price reasonableness determinations for audit trail; and flag unjustified price increases for negotiation or competitive re-sourcing. Sievo AI and Coupa Navi generate benchmark pricing reports continuously — the agent applies procurement judgment about when benchmark deviations reflect legitimate cost-driver changes (commodity price spikes, energy cost pass-throughs) versus opportunistic price increases.[12],[2]

Tools picking this up
Where your edge is

Price analysis AI gives you faster access to benchmarks, but the judgment about whether a price is truly unreasonable — and whether to push back, re-source, or accept a justification — is still yours. Build category-level cost driver literacy: understanding the commodity indices, labor market conditions, and logistics cost drivers that affect pricing in your categories means you can evaluate supplier justifications credibly rather than just checking them against a benchmark number. Suppliers respect buyers who understand why prices move.

Get started with these tools
AI is sitting alongside you here

Solicit and evaluate supplier bids: draft RFQ/RFP documents specifying technical requirements, delivery expectations, quality standards, and commercial terms; distribute to pre-qualified and candidate suppliers; collect and compare responses across price, lead time, quality certifications, and sustainability criteria; score bids against the evaluation matrix; and recommend the award to the approving manager. In 2026, SAP Ariba + Joule and JAGGAER ONE AI auto-generate sourcing event documents from category specifications and use AI scoring to rank supplier responses against weighted criteria — the agent reviews the AI-scored shortlist and applies qualitative judgment about supplier relationship potential and organizational risk that the scoring model cannot capture.[13],[14],[7]

Tools picking this up
Where your edge is

AI sourcing tools score bids faster and more consistently than manual spreadsheet comparison — use them, but invest in the judgment layer they cannot replicate: which supplier is the right strategic partner for the next 3-5 years, not just the cheapest option in this cycle. Buyers who apply relationship intelligence and long-term partnership judgment on top of AI bid scoring recommendations are the ones who build preferred-supplier bases that deliver better pricing and priority access during supply crunches.

Get started with these tools

Where this role is heading

Natural next steps for someone with your foundation — not exits, evolutions.

A direction you could grow

Purchasing Managers

Purchasing Agents who build a track record of category savings, supplier development wins, and cross-functional stakeholder management are the natural pipeline into Purchasing Manager roles. The transition requires taking on P&L accountability for a category budget, managing a small team, and developing the executive communication skills to translate procurement trade-offs into CFO-level language. In organizations adopting AI procurement platforms, this transition is accelerating — as AI absorbs transactional execution, the Purchasing Agent who has invested in strategic sourcing and supplier relationship skills is already operating at a manager-equivalent level in terms of impact. BLS projects flat-to-slight growth for Purchasing Managers overall, but strong demand persists in manufacturing, technology, and healthcare sectors where procurement complexity is high and AI adoption is creating leverage for a smaller, more strategic team.

What you'd add
  • · Category strategy development: build 3-year category plans with savings roadmap, supplier consolidation targets, and geographic-risk mitigation
  • · People management: performance goal-setting, coaching, and career development for a team of buyers
  • · Procurement P&L management: budget ownership, savings-target negotiation with CFO/COO, quarterly savings realization tracking
  • · Executive communication: translating procurement trade-offs (cost vs. risk vs. sustainability) into CFO- and board-level business impact framing
  • · ISM CPSM (Certified Professional in Supply Management) or CPM certification if not already held
What it takesSome new skills to pick up
Present-day sources

Sources

Every claim on this page traces back to one of the following. Updated 2026-05-24.

  1. [1]Eloundou et al. 2024 — GPTs are GPTs (Science)· accessed 2026-05-24
  2. [2]O*NET 30.3 — Purchasing Agents, Except Wholesale, Retail, and Farm Products (13-1023.00)· accessed 2026-05-24
  3. [3]BLS Occupational Outlook Handbook — Purchasing Managers, Buyers, and Purchasing Agents (2024)· accessed 2026-05-24
  4. [4]McKinsey Global Institute — The Economic Potential of Generative AI (2023)· accessed 2026-05-24
  5. [5]Deloitte — 2025 Chief Procurement Officer Survey: AI Adoption in Procurement· accessed 2026-05-24
  6. [6]ISM — AI in Supply Management: 2025 Workforce Brief· accessed 2026-05-24
  7. [7]Spend Matters — Procurement AI Benchmark Report 2025· accessed 2026-05-24
  8. [8]Supply Chain Dive — AI is reshaping procurement but not replacing buyers (2025)· accessed 2026-05-24
  9. [9]Gartner — Top Trends in Procurement and Sourcing 2025· accessed 2026-05-24
  10. [10]LinkedIn Skills on the Rise 2026· accessed 2026-05-24
  11. [11]Coupa — Coupa Navi AI Platform: Autonomous Procurement Automation (2025)· accessed 2026-05-24
  12. [12]Sievo — Sievo AI Spend Analytics: Category Benchmarking and Savings Tracking (2025)· accessed 2026-05-24
  13. [13]SAP — Joule for SAP Ariba: Generative AI in Procurement (2025)· accessed 2026-05-24
  14. [14]Jaggaer — JAGGAER ONE AI Sourcing Optimizer (2025)· accessed 2026-05-24
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