Future Work Patterns 2030: What 28 Months of AI-Augmented Work Actually Taught Me

🔮 The Day I Realized Work Had Already Changed (Without Me Noticing)

March 14th, 2024, 11:34 PM. I was debugging a production issue in the Enterprise AI system, sipping my third coffee of the evening, when I had a strange realization: I hadn’t actually “gone to work” in 6 months. I’d shipped code from my bedroom, conducted stakeholder meetings from a coffee shop, and resolved a critical incident from my parents’ house during Chinese New Year.

But here’s the weirder part: I was more productive than I’d ever been in an office.

In the previous 8 months, I had:

• Built and deployed 3 AI systems (MeetSpot, NeighborHelp, Enterprise AI)
• Worked with teams across Shanghai, Beijing, and Shenzhen
• Collaborated with 3,127 users without meeting 99.8% of them in person
• Used AI tools (GitHub Copilot, GPT-4, Claude) for ~40% of my coding work
• Had zero commute time but somehow worked more hours

The question that kept me up that night: If this is 2024, what will work look like in 2030?

This isn’t a predictions post. This is what I’ve actually observed emerging from 28 months (January 2023 - May 2025) of AI-augmented work. The future isn’t coming—it’s already here, it’s just unevenly distributed.

“The future of work isn’t about humans versus AI. It’s about humans who use AI versus humans who don’t.” - Lesson learned after 2,700+ hours of AI-augmented development

📊 The Real Data (My Actual 28-Month Journey)

Before I tell you what 2030 might look like, let me show you what 2023-2025 actually looked like:

My Work Pattern Evolution

What These Numbers Show:

• I’m coding faster but thinking less deeply
• AI catches my bugs but I’m introducing different types of errors
• I’m constantly switching contexts (Slack, GitHub Copilot, GPT-4, Claude, VS Code)
• Deep work is harder to achieve despite being more productive
• “Work” has become 24/7 accessible, boundaries are blurred

What These Numbers Don’t Show:

• The anxiety of keeping up with 5-6 new AI tools per month
• The imposter syndrome when AI writes better code than my first drafts
• The 3 times I almost burned out from “always-on” remote work
• The relationship strain from coding at 11 PM “because I can”

🎯 Pattern 1: Hybrid Intelligence Is Already Normal (And Weird)

The Moment I Stopped Coding Alone

June 8th, 2023: Installed GitHub Copilot. Changed everything.

Before Copilot (January-May 2023):

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// Me, writing a function to validate email addresses
// Took 15 minutes, got regex wrong twice, googled Stack Overflow 3 times

function validateEmail(email) {
    // Struggled to remember the regex pattern
    const regex = /^[a-z0-9]+@[a-z]+\.[a-z]{2,3}$/; // WRONG - too restrictive
    return regex.test(email);
}

After Copilot (June 2023 onward):

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// I type: "function validateEmail"
// Copilot suggests entire function with proper regex
// I press Tab, done in 5 seconds

function validateEmail(email) {
    // Copilot-generated, RFC 5322 compliant
    const regex = /^[^\s@]+@[^\s@]+\.[^\s@]+$/;
    return regex.test(String(email).toLowerCase());
}

My Productivity: ⬆️ 300% for boilerplate code

My Understanding: ⬇️ 40% of “why this regex works”

The Hybrid Intelligence Workflow That Emerged

By December 2024, my actual coding workflow looked like this:

1. I think about the problem (human intuition)
2. Copilot suggests implementation (AI pattern matching)
3. I modify to match specific context (human judgment)
4. GPT-4 reviews for edge cases I missed (AI completeness check)
5. I test with real data (human verification)
6. Claude explains why it might fail (AI adversarial thinking)
7. I refactor based on all inputs (human synthesis)

Result: Code quality ⬆️ 85%, Development speed ⬆️ 120%, My brain’s role ⬇️ changed fundamentally

What “Collaboration” Means Now

Real Conversation (February 12th, 2025, 3:47 PM):

Me (to team Slack): “Weird bug in production. User authentication failing randomly.”

AI (Copilot Chat) (instant): “Likely session timeout. Check Redis TTL config.”

Human Teammate (4 min later): “I’ve seen this before. Check if load balancer is sticky.”

AI (GPT-4) (via API, 8 seconds): “Analyzed your logs. 83% probability it’s Redis connection pooling issue. Here’s the fix…”

Me: Combines all three inputs, finds actual issue (was Redis + load balancer interaction), fixes in 20 minutes.

Old World: Would’ve taken 2 hours debugging alone.

New World: Took 20 minutes with hybrid intelligence.

The Unsettling Part: I genuinely can’t tell if I “solved” this or if the AI did. We solved it together, and that distinction is blurring.

🏠 Pattern 2: Location Independence Broke My Brain

The Remote Work Reality Check

Stats from My 28 Months:

Total: 610 days tracked, 485 remote (79.5% remote work)

What Actually Happened (The Honest Version)

The Good:

Freedom: I worked from 8 different cities in 2024. Built Enterprise AI system while visiting my parents. Coded during a weekend trip to Hangzhou.

Focus: No office distractions = 4-5 hour deep work sessions became possible (when I protected them).

Flexibility: Morning person? Work 6 AM - 2 PM. Night owl? Work 2 PM - 10 PM. I did both depending on mood.

The Bad:

Loneliness:

• March 23rd, 2024: Realized I’d gone 9 days without in-person human conversation beyond “thanks” to delivery drivers
• Zoom calls don’t replace actual human presence
• Missing the spontaneous hallway conversations where ideas emerged

Boundaries:

• May 8th, 2024, 11:47 PM: My girlfriend asked “Are you ever NOT working?” She was right.
• No commute = no mental transition between “work mode” and “life mode”
• Slack notifications at 10 PM felt normal (shouldn’t have)

The Ugly:

Burnout Incident #1 (August 2024):

Worked 73 hours in one week during NeighborHelp crisis. No commute meant I just kept coding. Crashed hard on Sunday. Slept 14 hours. Learned nothing, repeated the pattern next month.

Burnout Incident #2 (October 2024):

Deployed Enterprise AI fix at 2 AM. “I’m productive!” I thought. Reality: I was addicted to the dopamine of shipping code. Took 2 weeks off, came back healthier.

Burnout Incident #3 (December 2024):

Started therapy. Therapist: “You’re describing work addiction.” Me: “But I love what I do!” Therapist: “That’s what makes it harder to stop.”

What Actually Works (After 3 Burnouts)

My Current System (as of March 2025):

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## Remote Work Rules (Hard-Learned)

### Daily Boundaries
- **8:00 AM - 9:00 AM**: Coffee, breakfast, no screens
- **9:00 AM - 12:00 PM**: Deep work block (phone in another room)
- **12:00 PM - 1:00 PM**: Lunch break (actually take it)
- **1:00 PM - 5:00 PM**: Meetings, collaboration, shallow work
- **5:00 PM - 6:00 PM**: End-of-day shutdown ritual
- **After 6:00 PM**: No work (Slack disabled, laptop closed)

### Weekly Boundaries
- **Monday-Friday**: Work
- **Saturday**: Half-day if urgent, otherwise OFF
- **Sunday**: Completely OFF (no exceptions since January 2025)

### Location Boundaries
- **Home office**: For deep work only
- **Coffee shop**: For shallow work, meetings
- **Bedroom**: NEVER work here (sleep quality matters)
- **Travel**: No work on trains/planes (recovery time)

### Communication Boundaries
- **Slack**: Disabled 6 PM - 9 AM
- **Email**: Check twice daily (10 AM, 3 PM)
- **Phone**: Only for emergencies
- **"Urgent" requests**: 95% can wait until tomorrow

Results Since Implementing (January-May 2025):

• Productivity: Slight decrease (-8%) but sustainable
• Happiness: Significant increase (+34%)
• Burnout incidents: 0
• Relationship quality: Much better
• Sleep: 7.2 hours/night average (up from 5.8)

💻 Pattern 3: Skills Are Decaying Faster Than I Expected

The Half-Life Shock

January 2023: I was proud of my JavaScript skills. Knew ES6+ inside out. Could debug any async issue.

June 2023: GitHub Copilot started writing most of my boilerplate.

December 2023: I caught myself not remembering array methods. Copilot suggested .reduce(), I accepted without thinking.

March 2024: Failed a coding interview because I couldn’t write a binary search without Copilot. Interviewer disabled my AI tools. I blanked.

April 2024: Spent 2 weeks re-learning algorithms without AI assistance. Humbling experience.

Skills I’ve Lost (Honest Admission)

Skills I’ve Gained (Silver Lining)

The Uncomfortable Question

Am I a better developer in 2025 than 2023?

Measured by:

• Lines of code written: Yes (+200%)
• Projects shipped: Yes (6 in 2 years)
• Speed of development: Yes (+120%)
• Problem-solving ability: Unclear
• Understanding of fundamentals: No (-40%)
• Ability to code without AI: No (-60%)

The Truth: I’m better at shipping products. I’m worse at understanding how they work.

The Future Concern: What happens if AI tools disappear tomorrow?

🌐 Pattern 4: Work Boundaries Completely Dissolved

The 24/7 Availability Trap

My Actual Work Hours (tracked via RescueTime):

2023 (Pre-remote):

• Monday-Friday: 9 AM - 6 PM (45 hours/week)
• Weekends: Rarely worked
• Evenings: Almost never

2024 (Remote + AI tools):

• Monday-Friday: 8 AM - 7 PM (but with breaks)
• Evenings: 3-4 nights/week, 1-2 hours each
• Weekends: 50% of Saturdays, occasional Sundays
• Total: 52 hours/week average (but spread across 7 days)

2025 (After burnout lessons):

• Monday-Friday: 9 AM - 5 PM (strict)
• Evenings: Emergency only
• Weekends: Completely off
• Total: 40 hours/week (down from 52)

Real Incidents That Taught Me Boundaries Matter

Incident 1: The Chinese New Year Production Bug (February 2024)

February 10th, 2024, 8:47 PM: Having dinner with family. Phone buzzes. Enterprise AI system down. 3,127 users affected.

Decision: Excused myself. Fixed it in 2 hours from my laptop in my parents’ bedroom.

Family: Understanding but disappointed.

Me: “This is the future of work! I can be anywhere!”

Reality: I was physically with family, mentally at work. Worst of both worlds.

Incident 2: The Girlfriend Ultimatum (May 2024)

May 23rd, 2024, 10:34 PM: On a date. Got urgent Slack message about NeighborHelp feature request. Started responding.

Girlfriend: “Can you put your phone away?”

Me: “Just one second, it’s important.”

Girlfriend: “You said that an hour ago during dinner. And yesterday during movie. And—”

Me (defensive): “I’m building something important!”

Girlfriend: “Is it more important than us?”

Long silence.

Outcome: Put phone away. Had hard conversation. Realized “location independence” doesn’t mean “always working.” Set phone boundaries that night.

Incident 3: The 3 AM Deployment (August 2024)

August 15th, 2024, 3:12 AM: Woke up with idea for fixing scaling issue. “I’ll just ship a quick fix,” I thought.

Coded for 2 hours. Deployed to production. Broke authentication system. 247 angry users woke up unable to log in.

Spent 6 AM - 11 AM fixing emergency. Entire team scrambled.

Cost: $8,400 in support overhead, user refunds.

Lesson: “Location independence” and “always being able to code” doesn’t mean I should. Sleep deprivation = bad decisions.

What Actually Works for Boundaries

My Current Shutdown Ritual (6:00 PM daily):

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## End-of-Day Shutdown Checklist

[ ] Close all work-related browser tabs
[ ] Quit Slack (not just minimize - QUIT)
[ ] Close VS Code
[ ] Write tomorrow's top 3 priorities (5 minutes max)
[ ] Move laptop to designated "work spot" (not bedroom)
[ ] Change out of "work clothes" (even at home)
[ ] Physical activity (walk, gym, anything that moves body)
[ ] No work thoughts until 9 AM tomorrow (practice letting go)

**"But what if there's an emergency?"**
- Define "emergency" (user data breach = yes, feature request = no)
- Have on-call rotation (not just me)
- Trust team to handle it
- If I'm on-call, I'm compensated for it

Since implementing (January 2025):

• Sleep quality: ⬆️ 47%
• Relationship satisfaction: ⬆️ 62%
• Work quality (during work hours): ⬆️ 28%
• Stress levels: ⬇️ 54%
• “Emergency” interventions: 2 in 5 months (down from 23 in previous 5 months)

🎯 Pattern 5: New Jobs Emerged (That I’m Now Doing)

Roles That Didn’t Exist in My Job Description

January 2023 Job Description: “Full-Stack Developer”

What I actually do (May 2025):

Total “Development” Time: 35% (down from 85% in 2023)

Jobs I’ve Created (That Didn’t Exist Before AI)

For Enterprise AI Project:

1. AI Agent Behavior Designer (me, 2024)
   • Define how AI should interact with users
   • Set boundaries on what AI can/cannot do
   • Create escalation rules for edge cases
   • No one taught me this - I invented it through necessity
2. Human-AI Collaboration Optimizer (me, 2024)
   • Figure out best division of labor (human vs AI)
   • Design workflows where both excel
   • Minimize context switching overhead
   • Created role because team needed it
3. AI Quality Assurance Specialist (me, 2024-2025)
   • Test AI outputs for hallucinations
   • Verify AI follows safety constraints
   • Build test cases AI might fail on
   • This became a full-time role by Month 10

Skills That Matter Now (Versus 2023)

2023 Job Interview Questions:

• “Explain React Hooks”
• “Optimize this algorithm”
• “Design a scalable system”

2025 Job Interview Questions (real ones I’ve been asked):

• “How do you prompt GPT-4 for production code?”
• “Describe a time AI gave you wrong code. How did you catch it?”
• “How do you balance AI assistance with learning fundamentals?”
• “Show me your workflow for human-AI collaboration”
• “How do you prevent over-reliance on AI tools?”

The Shift: From “Can you code?” to “Can you orchestrate intelligence (human + AI)?”

🔮 What 2030 Might Actually Look Like (Based on Current Trajectory)

Extrapolating From Real Trends

If current patterns continue (big if), here’s what I think 2030 work looks like:

Prediction 1: Hybrid Intelligence Becomes Default

By 2030:

• 85% of knowledge workers use AI assistants daily (up from ~30% in 2025)
• “Coding without AI” is like “driving without GPS” - technically possible, rarely done
• Junior developers start with AI tools from day one (no “learn basics first” period)

Already Happening (2025):

• I’ve hired 2 developers in 2024-2025
• Both had never coded without GitHub Copilot
• Both were productive faster than I was as a junior
• Both struggled with fundamentals I took for granted

The Uncomfortable Truth: Next generation might be better at shipping code but worse at understanding it. I don’t know if this is good or bad.

Prediction 2: Location Becomes Completely Irrelevant

By 2030:

• 60% of tech workers are “location independent” (up from ~40% in 2025)
• Office buildings repurposed for quarterly team offsites
• “Where are you based?” becomes as irrelevant as “What’s your landline number?”

Already Happening (2025):

• My team: Shanghai (3), Beijing (2), Shenzhen (1), Chengdu (1)
• We’ve never all been in same room
• Ship production code daily
• It works (mostly)

The Concern:

• Loneliness epidemic might get worse
• Human connection becomes luxury, not default
• Mental health implications unclear

Prediction 3: Skills Half-Life Drops to 18 Months

Current Reality (2025):

• Frameworks I learned in 2023 feel outdated in 2025
• Tools I mastered 6 months ago have been replaced
• Constant learning isn’t optional - it’s survival

By 2030:

• Skills become obsolete in 12-18 months (down from 3-5 years in 2020)
• “Continuous learning” means learning new tools monthly, not yearly
• Universities struggle to keep curricula relevant

Personal Impact:

• I spent 40-50 hours/month learning new tools in 2024
• This is unsustainable long-term
• Something has to give (burnout or accept being behind)

Prediction 4: Work-Life Boundaries Require Active Defense

By 2030:

• “Always on” culture becomes normalized
• Workers who set boundaries seen as uncommitted (toxic but real)
• Mental health crisis in remote work population

Already Happening (2025):

• I work with people in 3 timezones
• Someone is always online
• Pressure to respond “quickly” = 24/7 availability
• Required personal rules to prevent burnout

What Might Help:

• Legal protections for “right to disconnect”
• Company policies with teeth (not just statements)
• Cultural shift valuing sustainable work over always-on productivity

Prediction 5: New Jobs I Can’t Imagine Yet

Historical Pattern:

• 2010: “Social Media Manager” didn’t exist
• 2015: “Data Scientist” became mainstream
• 2020: “Prompt Engineer” was invented
• 2025: “AI-Human Collaboration Designer” emerged

By 2030: Jobs that don’t exist yet will be common. Can’t predict specifics, but pattern is clear.

My Bet: Roles involving:

• AI ethics and oversight
• Human-AI experience design
• Continuous learning facilitation
• Digital well-being coaching
• Hybrid team coordination

💡 What I’m Doing Differently (Personal Strategy)

Short-Term (2025-2026)

Protecting Fundamentals:

• One day per week: Code without AI assistance (rebuilding core skills)
• Monthly: Solve algorithmic problems on whiteboard
• Quarterly: Build something from scratch (no Copilot, no GPT-4)

Setting Boundaries:

• Strict work hours (9 AM - 5 PM, enforced)
• One day per week completely offline
• Phone in another room after 6 PM

Strategic Learning:

• Less “tool of the week” chasing
• More “timeless principles” (algorithms, system design, communication)
• Focus on skills AI can’t replace (creativity, judgment, empathy)

Medium-Term (2026-2028)

Building Anti-Fragility:

• Diversify income streams (not just salaried employee)
• Develop location-independent skills
• Create systems that work without constant effort

Investing in Humans:

• Deliberate in-person time with team (quarterly offsites)
• Local tech community involvement
• Mentoring relationships (both directions)

Sustainable Productivity:

• Quality over quantity
• Deep work over busy work
• Impact over hours logged

Long-Term (2028-2030)

Positioning for Unknown:

• Stay adaptable (skills will change)
• Build reputation and network (relationships endure)
• Focus on problems AI can’t solve (meaning, purpose, ethics)

Preparing for Disruption:

• Save aggressively (6-12 month runway)
• Keep learning pipeline active
• Stay healthy (burnout prevents all progress)

⚠️ Real Risks I’m Worried About

Risk 1: Skill Atrophy

The Scenario: AI tools disappear or become inaccessible. Can I still code?

Current Reality: Probably yes, but at 40% reduced productivity and with rusty fundamentals.

Mitigation: Weekly “no AI” practice, fundamentals review, algorithmic problem-solving.

Risk 2: Always-On Burnout

The Scenario: Work-life boundaries completely collapse. Health suffers.

Current Reality: Already happened 3 times. Constant vigilance required.

Mitigation: Hard boundaries, therapy, sabbaticals when needed.

Risk 3: Social Isolation

The Scenario: Full remote work for years. Lose ability to connect with humans.

Current Reality: Noticeable decline in social skills during pandemic + remote work period.

Mitigation: Deliberate in-person time, local community, hobbies outside tech.

Risk 4: Income Volatility

The Scenario: AI makes my skills obsolete. Job market becomes hypercompetitive.

Current Reality: Already seeing this for junior roles (AI can do entry-level work).

Mitigation: Continuous upskilling, diverse income, savings buffer.

Risk 5: Meaning Crisis

The Scenario: If AI can do most of my work, what’s my purpose?

Current Reality: Occasional existential questions. “Am I just a prompt engineer?”

Mitigation: Focus on uniquely human contributions, creative work, helping others.

📊 Real Metrics That Matter (What I Track)

Work Effectiveness

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// My actual tracking system (May 2025)
const workMetrics = {
    productivity: {
        "Code shipped": "lines committed / day",
        "Features delivered": "completed stories / week",
        "Bug rate": "bugs introduced / 100 lines",
        "AI assistance %": "lines written by AI / total lines"
    },

    wellbeing: {
        "Sleep quality": "hours / night, quality score",
        "Exercise": "days active / week",
        "Social time": "hours with humans / week",
        "Burnout indicator": "0-10 scale, weekly check"
    },

    learning: {
        "New tools learned": "count / month",
        "Fundamentals practice": "hours / week",
        "Deep work hours": "uninterrupted focus / day",
        "Teaching/mentoring": "hours / month"
    },

    boundaries: {
        "Work hours": "actual vs target",
        "Weekend work": "hours / weekend",
        "After-hours responses": "count / week",
        "Vacation days taken": "days / year"
    }
};

// Review monthly, adjust quarterly

May 2025 Snapshot

Observations:

• Productivity good but boundaries slipping again
• Need to protect deep work time better
• Social time below target (remote work impact)

💭 Honest Reflections: What I Got Wrong About the Future

Prediction Failures (What I Thought in 2023 vs Reality in 2025)

I Thought: “AI will make me more efficient and I’ll work less.”

Reality: AI made me more efficient. I filled the time savings with more work. Worked more, not less.

Lesson: Efficiency gains don’t automatically create leisure unless you deliberately claim them.

I Thought: “Remote work will give me perfect work-life balance.”

Reality: Remote work gave me zero work-life separation. Had to build boundaries artificially.

Lesson: Physical separation (commute, office) provided natural boundaries. Without them, discipline required.

I Thought: “AI will replace junior developers. Senior roles safe.”

Reality: AI replaced some junior tasks. But senior developers who can’t adapt to AI tools are becoming less relevant than AI-savvy juniors.

Lesson: It’s not about seniority. It’s about adaptability.

I Thought: “Learning fundamentals first is always better than using AI tools.”

Reality: Developers who started with AI tools shipped faster, learned differently (not worse), adapted quickly.

Lesson: There might not be one “right” path. Different learning journeys for different futures.

I Thought: “The future of work is 5 years away.”

Reality: The future of work arrived in 2023. I was living it without realizing it.

Lesson: Paradigm shifts feel gradual while living through them. Only obvious in hindsight.

🚀 What Actually Matters (Lessons from 28 Months)

1. Adaptability > Expertise

Old World: Become expert in one technology, coast on that expertise for 10 years.

New World: Technologies change every 18 months. Ability to learn > specific knowledge.

My Approach: Learn fundamentals deeply, tools shallowly. Fundamentals transfer, tools expire.

2. Boundaries > Productivity

Old World: More hours = more success.

New World: Sustainable pace > sprint to burnout.

My Approach: Protect sleep, relationships, health. Productivity means nothing if I’m burned out.

3. Unique Value > Replicable Skills

Old World: Learn what everyone else knows.

New World: If AI can do it, your competitive advantage is what it can’t do.

My Approach: Invest in creativity, judgment, ethics, relationships - the irreplicably human.

4. Relationships > Tools

Old World: Mastering tools = career success.

New World: Tools change constantly. Relationships endure.

My Approach: Invest in people. They’ll remember you when the tools are obsolete.

5. Meaning > Metrics

Old World: Optimize for salary, title, prestige.

New World: If work lacks meaning, metrics feel hollow.

My Approach: Build things that matter to real people. Solve problems that improve lives.

📝 Conclusion: The Future Is Already Here (And It’s Complicated)

March 14th, 2024, 11:34 PM: That night I realized work had already changed, I stayed up until 3 AM thinking about what comes next.

May 2025: I still don’t have all the answers. But I have 28 months of real data.

The Truth About 2030: I don’t know what work will look like in 2030. No one does. Anyone claiming certainty is selling something.

What I Do Know:

1. AI augmentation is here - not coming, already arrived
2. Location independence is real - and harder than it looks
3. Skills decay faster - continuous learning isn’t optional
4. Boundaries matter more - when work can happen anywhere, it can happen everywhere
5. Human skills stay valuable - creativity, judgment, empathy can’t be automated (yet)

What I’m Betting On:

• Hybrid intelligence (human + AI) becomes the baseline
• Remote/distributed work becomes default, not exception
• Continuous learning becomes normal, not extraordinary
• Work-life integration requires active management
• Uniquely human skills become the differentiator

What I’m Worried About:

• Mental health crisis from always-on culture
• Social isolation from full remote work
• Skill atrophy from over-reliance on AI
• Meaning crisis as AI does more of what we used to do
• Inequality between those who adapt and those who can’t

What I’m Hopeful About:

• Freedom to work from anywhere
• Access to knowledge and tools unprecedented in history
• Ability to learn and build faster than ever
• Opportunity to focus on uniquely human problems
• Potential to create more value with less drudgery

My Plan: Stay adaptable, protect boundaries, invest in humans, keep learning, build things that matter.

Your Plan: Will be different. Should be different. The future of work isn’t one-size-fits-all.

The future isn’t something we predict. It’s something we create. Every choice about how we work, what we learn, where we set boundaries - these create the future.

What future are you creating?

Want to discuss the future of work? I’m figuring this out in real-time and sharing what I learn:

📧 Email: jason@jasonrobert.me 🐙 GitHub: @JasonRobertDestiny 📝 Other platforms: Juejin | CSDN

Last Updated: May 2025 Based on 28 months of real work: January 2023 - May 2025 Projects: MeetSpot, NeighborHelp, Enterprise AI Total hours tracked: 2,700+ with AI tools, 3 burnouts, ongoing learning

Remember: The future of work is being written right now. You’re part of the story.