Key takeaways
- AI and the future of work are being wildly oversold. While AI automation can reshape workflows, it doesn’t magically fix legacy systems, politics, or organisational chaos.
- AI Agents replacing jobs is only half the story. For most small businesses and founders, constraints like budget, skills, and time mean they’re more likely to work more in the short term, not less.
- If AI really transforms work, it won’t happen in isolation. A genuine shift to a 2–3 day workweek would demand big changes in how we structure society, careers, education, and even how we think about life itself.
AI and the future of work: the promise
“Quit your job. Stop your education. AI is coming to do everything.”
That’s the vibe in half the headlines right now. Bill Gates and other tech billionaires are fuelling predictions that AI will soon be doing most jobs, leaving humans to work just two or three days a week.
In discussions about AI and the future of work, this idea has become surprisingly common. If AI agents can automate large portions of knowledge work, the argument goes, then the modern five-day workweek will become obsolete.
On the surface, it sounds plausible. AI agents in the workplace are getting better at chaining tools, processing data, and automating complex tasks. Models like ChatGPT and Gemini, plugged into Zapier or Make, can already orchestrate pieces of sales, operations, and marketing.
But here’s the real question behind these predictions about AI and the future of work:
Is it actually realistic that AI agents will lead to less work for most people—or is this just another neat story from very rich people far removed from how work really happens?
To answer that, we need to look past the hype.
1. AI Agents in the workplace vs. legacy reality
When people talk about AI and the future of work, they often imagine organisations that are perfectly positioned to adopt new technology.
On paper, large organisations should be ideal environments for AI agents:
- Big budgets
- Plenty of data
- Access to AI talent
In practice, many of them run on infrastructure that feels more like archaeological relics than modern tech. Behind the glossy decks about “AI transformation” sit:
- Legacy systems older than cable TV
- Databases that only talk via emergency email threads
- Processes so convoluted that they require a dedicated explainer just to onboard new staff
Against that backdrop, the idea of AI agents managing billion-dollar strategies starts to look a bit flimsy.
You don’t get seamless AI automation and work-hour reductions when:
- Half the team still thinks a VLOOKUP makes you a data wizard
- People are emailing Excel files to themselves as “version control”
- The NHS is still dealing with fax machines and fragmented records
Plugging an AI agent into that landscape doesn’t deliver a shorter workweek. More likely, it exposes how tangled everything is and triggers fresh rounds of firefighting.
The truth is that AI and the future of work will depend just as much on organisational change as on technological capability.
So, when you hear predictions about AI agents transforming the workplace from people who haven’t touched a broken CRM since the 90s, treat them as thought experiments, not timelines.
2. AI Agents replacing jobs vs. reality on the ground
If big corporations are too slow, then surely small businesses and solo founders will win big from AI and the future of work, right?
Yes… But also no.
Take Adrian, founder of GymBro Optimised — the supplement brand for people who “know what Pfizer is really up to.”
He is not sitting on a huge AI budget. His “stack” is closer to:
- Asking ChatGPT to rewrite slightly less embarrassing captions
- Deciding whether to build his website using WordPress or Lovable
- Getting help to write strategic messages to Amazon so they lift the restrictions on his online store
He doesn’t have the time or headspace to stay on top of every OpenAI, Anthropic, or Google DeepMind announcement. He’s busy with:
- Product sourcing
- Shipping and fulfilment
- Customer questions (mainly from his mum)
- Trying to generate actual sales
For Adrian, the idea that AI and the future of work will soon mean a relaxed two–to three-day workweek is a fantasy.
If anything, he’s more likely to be working seven days a week just to keep GymBro Optimised alive.
AI agents replacing jobs might hit some roles in some industries. But for small businesses, they’re far more likely to change how people work than how many days they work.
3. The missing point: if AI transforms the future of work, it changes life itself
Most debates about AI and the future of work assume everything else stays the same. That’s the real problem.
If you take the extreme view—AI handles most jobs, robots manage logistics, models solve medical and scientific problems at speed—then it isn’t just the workweek that changes.
The entire structure of life changes with it.
People like Bryan Johnson argue that AI will help dramatically extend people’s lifespan. If that’s even partially correct, then:
- The idea of “retirement at 65” becomes irrelevant
- Careers might span multiple reinventions over a century
- Financial planning, pensions, and education all need redesigning from scratch
In that world, debating whether AI agents will lead to a two- or three-day workweek becomes almost beside the point.
You’d be rethinking what a working life even means.
Yet most predictions about AI and the future of work assume:
- The same social contract
- The same retirement age
- The same education paths
Just… fewer workdays.
That’s not how deep technological shifts usually unfold.
So what will AI actually change?
Realistically, here’s where AI and the future of work are most likely to have an impact over the next decade.
Task-level automation
Repetitive, high-volume work—reporting, summarising, tagging—will continue to be automated aggressively.
Role redesign, not removal
Many jobs will be reconfigured. You’ll see more “AI-assisted” roles where humans supervise, interpret, and make final calls.
Productivity gaps between organisations
Companies that clean up their data, simplify processes, and invest in skills will see stronger gains. Others will drown in complexity, even with AI.
Rising premium on judgment and originality
As AI floods the world with generic content and templated responses, human insight, taste, and strategic judgment become more valuable, not less.
All of these point to AI-driven productivity, but not automatically to AI-automated leisure.
Conclusion: AI and the future of work — Hype vs Reality
So, will AI and the future of work deliver a two- or three-day workweek by 2035?
Highly unlikely.
For that to happen, it’s not enough for AI agents to become more capable. We’d also need:
- Major upgrades to infrastructure and legacy systems
- Significant cultural and organisational change
- Policy shifts around work, welfare, and labour markets
- Public buy-in for a different social contract
AI can absolutely make us more productive. But it won’t, on its own, dissolve resistance to change, flatten politics, or fix every structural problem in how work is organised.
AI will create new jobs, reshape old ones, and force us to rethink skills. But it’s unlikely that most of us will be able to clock off five days a week while robots mop the floor.
Peopol Also Ask
Will AI really reduce the working week to three days?
Unlikely in the near future. Most research on AI and the future of work suggests that while AI may increase productivity, it does not automatically reduce working hours, as organisational complexity, incentives, and business competition still drive labour demand.
Predictions about a three-day workweek are common in discussions about AI and the future of work, but major changes to labour policy and economic structures would be required before shorter workweeks become widespread.
How will AI change the future of work?
AI will mostly automate tasks rather than entire jobs. In the context of AI and the future of work, many roles are expected to evolve into AI-assisted positions where humans supervise systems, interpret results, and make strategic decisions.
AI is expected to automate repetitive tasks such as data processing, reporting, and basic customer interactions. The broader impact will likely involve redesigning roles rather than eliminating them entirely.
Will AI replace most jobs in the future?
No, AI is more likely to transform jobs than eliminate them entirely. Research on AI and the future of work consistently shows that automation usually replaces specific tasks rather than entire professions.
Many jobs will combine human expertise with AI tools, allowing workers to focus more on judgment, creativity, and relationship building.
Which jobs are most likely to be affected by AI?
Jobs with repetitive and rule-based tasks are most vulnerable to AI automation. In discussions about AI and the future of work, roles in data entry, administrative support, and basic reporting are often identified as the most exposed.
Roles that require strategic thinking, complex decision-making, or interpersonal communication remain far harder to automate.
Will AI make people work less in the future?
Not necessarily. Throughout history, productivity improvements have often led to new forms of work rather than less work overall, which is a key debate in discussions about AI and the future of work.
Automation may initially increase workloads as organisations adapt their processes and develop new products and services.
About the author
Antlerzz explores the intersection of AI, entrepreneurship, and human creativity — separating hype from reality to reveal how emerging technology truly transforms business.At Antlerzz, we genuinely like AI — mostly.
But we’re also realistic about its limits, and occasionally, those limits are… spectacular. For honest examples of where AI genuinely delivers and where the hype collapses, watch The AI Reality Check by Antlerzz on YouTube.
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