Just wanted to share that from my recent talks in board meetings and with executives globally, the consensus is that companies are indeed laying off, and these numbers are accurate that I share below and maybe you have seen also around . You can verify them yourself. While they largely represent cumulative cuts and aggressive restructuring from 2023 through early 2026, the direct job eliminations are very real.
I checked some of the biggest tech and legacy players:
- Amazon: 30,000 (Cumulative cuts across corporate and managerial roles)
- Intel: 25,000 (Aggressive restructuring to pivot toward the AI market)
- Microsoft: 15,000 (Accumulated over several rounds of tech-sector corrections)
- Dell: 12,000 (Massive sales team reorganization)
- Salesforce: 4,000 (Role eliminations to reallocate funds toward AI development)
- GM (General Motors): 3,300 (Cuts across autonomous vehicle divisions, software, and factory shifts)
In the energy industry, we are going through the exact same ruthless transition, and the ones losing their jobs are the ones who have completely failed to adapt to new technologies and who rely on an old mindset.
The industry is rapidly pivoting into professionals who understand / explain/ can storytell machine learning models, AI integration, optimization etc.
The professionals who are aggressively upskilling and learning how to integrate data science into traditional energy workflows are the ones keeping their seats .
If you think that energy is "safe" and all I have to do is "just go to meetings, and do coffee breaks" this is not the truth! "Oh I studied 5 years. I am now going to have a relaxed professional life". No! Constantly improve your skills. Never settle.
Those who think 'energy is just writing reports and go to meetings" may get anytime a phone call "My friend, I love you. But I am sorry to say, you are among those who are going to be laid off. I am truly sorry. You know how much I care but I am sorry. It is a company policy". And that's it.
For energy these are verified:
- Chevron: Up to 9000 employees / 20% of its global workforce by 2026. Who loses jobs: traditional mid-level managers (only going to meetings, and writing reports / boring ...) , and old teams . "But I am 55 years old, dont fire me!" they say. "You are going home , sorry".
- BP: 6200 corporate roles plus thousands of contractors . Who loses job: back-office staff, traditional project managers, and old teams unable to shift to data-driven operations. "But I am using Excel". - "Excel isnt enough my friend. you're going home to learn more".
- Shell: 20% of its upstream and exploration workforce . Who :traditional geoscientists relying on outdated workflows, old exploration units, and legacy teams.
- ExxonMobil: 2,000 global jobs, plus a massive 20% workforce cut at its subsidiary Imperial Oil . Who loses jobs: Old-school logistics coordinators and legacy teams being replaced as operations consolidate into high-tech regional hubs
- Halliburton: Between 20% and 40% of employees across at least three major business divisions . Who loses jobs: Conventional technical staff
- ConocoPhillips: 20% to 25% of its workforce . Who: old technical teams for new AI/coding teams (ML,etc)
- Ørsted: 2,000 global jobs / roughly 25% of its workforce . Who: shedding traditional offshore project managers and legacy construction teams to create a leaner, highly digitized and competitive operational hub
- Siemens Gamesa: 4,100 jobs / roughly 15% of its workforce : Cutting redundant onshore manufacturing roles and old-school planners as they roll out a massive, tech-driven turnaround strategy).
- Iberdrola (Spain): Over 300 targeted job cuts and early retirements . Who: Pushing out legacy administrative and conventional grid roles as part of a massive global strategic plan to fund AI-integrated smart grids
- Drax Group (UK): Up to 150 jobs : Cutting legacy plant operation roles despite posting record renewable power generation
- National Grid & Major Utilities: shrinking legacy departments through internal restructuring, while spending billions to recruit software and systems engineers.
If you look at Finance and Wall Street, the exact same ruthless technological shift is wiping out legacy roles:
- Citigroup: 20,000 jobs (Sweeping corporate reorganization wiping out redundant middle management
- Morgan Stanley: 2,500 jobs / roughly 3% of its workforce : Trimming traditional wealth management support and legacy analysts as the firm reallocates heavy funding into AI-driven trading and advisory tools
- Goldman Sachs: Thousands of rolling cuts tied to its "OneGS 3.0" AI strategy : Phasing out manual financial modelers, analysts, and traditional administrative staff as AI automates routine, rules-based tasks
- JPMorgan Chase: Ongoing targeted cuts across operations and support : traditional operations teams