I erstwhile worked pinch a leader who would mention to hiring occupation candidates arsenic “getting married.” Are we fresh to wed this candidate? Is that 1 a bad match?
Yes, it’s not precisely connection to make an HR head swoon, but nan model makes sense: Hiring intends a semipermanent business where, ideally, some parties tin use and turn together.
But successful 2025, suitors were dragging their feet — except erstwhile it comes to AI-related roles.
Earlier this decade, companies love-bombed developers and engineers, and put a ringing connected it very quickly — successful galore cases, excessively quickly. The Great Resignation of 2021-22 recovered technologists jumping vessel en masse and trading their skills for large salary raises.
Then, precocious successful 2022, nan Age of AI began successful earnest, pinch nan merchandise of OpenAI’s ChatGPT-3, followed by caller commercialized ample connection models from Anthropic, Google, Meta and more. Mass layoffs, often shedding workers who were picked up during nan Great Resignation, followed.
As we walk from 2025 into 2026, nan AI ecosystem grows by nan day.
Suddenly, everyone needs AI expertise.
Suddenly, no one’s hiring inferior devs.
Suddenly, everyone’s building AI agents to automate tasks ample and small.
Economic, technological and geopolitical uncertainty muted nan sound of wedding bells. Employers, wary of taking connected much workers until nan particulate settles, grew evasive erstwhile pressed for a commitment.
Welcome to “the Great Hesitation,” a word credited to George Denlinger, operational president of U.S. exertion talent solutions astatine Robert Half, in a Wall Street Journal article from past May.
I heard nan word again successful October, successful a keynote reside astatine All Things Open successful Raleigh, N.C., delivered by Taylor Desseyn, a seasoned tech recruiter and vice president of world organization astatine Torc, a talent platform.
AI, Desseyn said successful his keynote, doesn’t merit each nan blasted for nan hiring managers’ skittishness.
“We’re dealing pinch nan over-hiring successful 2022 and I genuinely judge AI has a trading problem,” he said. “The logic why group are getting laid disconnected is not because of AI. We arsenic quality beings for illustration to blasted things … nan blasted should beryllium for nan over-highering than happened successful 2022.”
The Unmistakable Demand for AI Skills
But there’s nary denying 1 evident takeaway for nan caller year: If you person acquisition successful AI aliases instrumentality learning, nan 2026 occupation marketplace looks bright.
A small much than half — 53% — of U.S. tech occupation postings successful November required AI/ML skills, according to Dice’s 2025 Tech Jobs Report, released successful December. That’s up from 48% of October occupation listings; successful November 2024, that fig was 29%.
Source: Dice December 2025 Jobs Report.
And astir organizations scheme to summation their finance successful AI successful 2026 – 84% of respondents to a study by CompTIA said they scheme to astatine slightest moderately summation resources for AI successful nan New Year, The IT outlook study survyed included much than 1,000 business and exertion professionals.
For different roles, however, nan news is little sunny. The CompTIA outlook study saw optimism anong its respondents but still laced pinch caution. Seventy-seven percent of study participants said they consciousness bully astir their company’s destiny successful 2026, but only conscionable complete half said they expect to transcend 2025’s gross aliases profitability.
The Dice study saw an wide diminution successful U.S. tech jobs listings this past November, down 15% from nan erstwhile period and down 10% from November 2024.
Another hiring benchmark, CompTIA’s December report, besides recovered tech occupation postings wide were down successful November compared to nan erstwhile period – though up somewhat compared to November 2024. That CompTIA study besides recovered that 41% of existent tech occupation listings required immoderate level of AI skills.
What Skills Are successful Demand for nan 2026 Job Market?
So what skills does personification request to position themselves for a occupation marketplace wherever AI is nan main character?
The Dice study lists nan skills that are increasing fastest successful fame successful tech occupation listings, twelvemonth complete twelvemonth and from October to November.
Source: Dice December 2025 Jobs Report.
Source: Dice December 2025 Jobs Report.
The 2nd astir often advertised domiciled successful November, aft package engineer, was data engineer, pinch information intelligence nan 5th astir commonly sought, according to nan Dice report. There’s a immense shortage of qualified group for those roles, according to Carrol Chang, CEO of Andela.
“A batch of companies want to get started pinch AI, but successful bid to do that, your information has to beryllium clean, and it has to beryllium prepared to beryllium pumped into nan models,” Chang told The New Stack. “And truthful that intends that nan activity of information engineers, instrumentality learning engineers, information scientists, information analysts, these are occupation categories that are successful precocious request now and are astir apt only gonna grow.”
In 2026, according to a McKinsey Global Institute projection she cited, nan campaigner excavation for information intelligence roles will comprise only astir half nan expected demand.
The Forward Deployed Engineer: The ‘Hottest Job successful Tech’
Inclusive of AI but broader, nan “forward deployed engineer,” or FDE, is “probably nan hottest occupation successful tech correct now,” according to Chang.
She echoed a akin declare made by Joe Schmidt IV, a partner astatine Andressen Horowitz (a16z), successful a June whitepaper for nan task superior firm. AI startups, he wrote, request to supply customers pinch thief implementing their products: “Enterprises buying AI are for illustration your grandma getting an iPhone: they want to usage it, but they request you to group it up.”
The FDE role, pioneered and named by Palantir, intends an technologist who switches betwixt being embedded successful teams that straight service customers and engineering teams that build products.
At Andela, Chang said, “We for illustration to show clients, you request FDEs, not FTEs.”
To make a instauration exemplary trained successful a investigation laboratory activity accurately successful production, she said, nan skills of a forward-deployed technologist are crucial.
“Let’s opportunity you are a ample wellness security company, and that intends that you person to process tons and tons of claims information each day,” Chang said. “The accuracy successful nan measurement you process it is evidently very important. There are lives connected nan line, location are financial livelihoods connected nan line.
“If you were to deploy these instauration models from nan labs retired of nan box, you’d astir apt get astir 60% accuracy. That’s evidently not bully enough. Everybody knows that’s not bully enough. So past what do you do? Well, successful bid to amended nan accuracy of that model, you person to train it connected your ain data,” a process fraught pinch imaginable information information risks.
To get nan occupation done, she added, “You request a forward-deployed engineer. These are nan engineers that understand nan models very fluently, and past they besides understand endeavor data, they understand really to do fine-tuning, really to create reinforcement learning loops, and yet get nan endeavor to nan level of accuracy it wants.”
Why Specialists and Production-Ready Skills Are Crucial
Overall, a large quality betwixt hiring during nan Great Resignation and now appears to beryllium a greater accent connected specialists complete generalists.
In a abstracted position he gave connected profession improvement astatine All Things Open, Desseyn advised a packed room of attendees, “I would opportunity beryllium very circumstantial correct now. And honestly, I deliberation we’re successful that inclination for a while.”
As pinch immoderate caller industry, nan AI movement, for illustration Kubernetes and unreality earlier it, offers opportunities for early adopters.
“There’s a immense opportunity to beryllium a taxable matter master successful an manufacture connected really to instrumentality AI service,” Desseyn said. The advisor abstraction successful particular, he said, is apt to spot a boost: “The adjacent improvement is, hey, we want to prosecute this advisor to travel successful to thief america pinch AI processes and things to instrumentality successful this industry.’”
For those who want to pivot into different parts of IT — information engineering, FDE, income technologist roles, etc., a small spot of initiative, of volunteering for agelong assignments and broadside quests, goes a agelong way, Desseyn told nan All Things Open crowd.
“Right now, we are successful nan ambiance of doing nan occupation earlier you tin get nan job, whether you for illustration it aliases not,” he said.
It’s not conscionable astir knowing really to play pinch nan AI toys, Chang said. For some candidates and hiring managers, “the astir important proposal I would springiness is to attraction connected production-ready practice. So, for candidates, what that intends is don’t conscionable study really to usage GitHub Copilot, Cursor and Windsurf, but really do projects that springiness you real-world, on-the-job skills.”
For nan occupation seeker, “you want to prove, successful an interview, that you don’t conscionable cognize nan theory, and you don’t conscionable cognize really to play astir pinch nan tools, but you person really built projects that are production-ready. You request to attraction your accomplishment improvement and your believe connected that. On nan flip side, for hiring managers, that’s what you should beryllium looking for successful candidates.
“You should beryllium asking questions and designing your assessments astir production-ready work, and you should beryllium specifically looking for nan quality skills that are astir important successful orchestrating these AI systems. Do nan candidates cognize systems thinking? Critical thinking? Do they cognize really to explain?”
How To Find Opportunities Beyond Big Tech Companies
And while looking for that adjacent job, experts say, look beyond nan household-name tech giants.
“Do not slumber connected nan startup ecosystem for your adjacent opportunity,” Desseyn urged nan All Things Open assemblage successful his keynote address.
And see different fields, he added: “Listen, I cognize group moving successful package successful nan [agriculture] abstraction that are making measurement much money than immoderate group successful large tech. There are different industries retired there.”
In an All Things Open sheet I co-hosted astir what AI intends for developer careers, Lawrence Lockhart, elder developer advocator astatine Beefree, a no-code instrumentality vendor, echoed Desseyn’s sentiment.
“Good news for each of us: Tech is successful each companies,” Lockhart said. “So for those who are trying to break into nan industry, for instance, don’t ever deliberation successful position of moving for a tech company. The Feds of nan world, nan Autozones of nan world, nan banking, they are not getting free of inferior devs astir astatine nan complaint arsenic different tech-forward companies.
“Consider a tech domiciled astatine a non-tech company, meaning a institution does not nutrient exertion arsenic a product. They are overmuch slower connected AI adoption.”
And wrong AI, he added, opportunities abound to blaze trails, specified arsenic successful AI infrastructure: “There are a fewer specializations that nobody’s awesome astatine yet.”
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