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unitedby.ai chennai • jan 2026

can ai actually
do your job?

spoiler: it's complicated. but yeah, probably.

sanju

sanju

founder, thisux

before we start

this talk might ruin your day

i'm not here with "ai won't replace you, someone using ai will" linkedin energy.

i'm here to show you the actual numbers. then you decide if you want to panic or pivot.

who's talking

design engineer working across the stack

thisux

design studio, 3 years

dunsocial

ai product, building in public

dun

ai-native suite of tools

i've automated parts of my own job. now doing 3x with fewer people. it's awkward to admit.

raise your hand if you've used chatgpt today

keep it raised if you used it for actual work, not just asking what to eat for dinner

everyone asks "will ai take my job?"

that's the wrong question.

the right one: "how long until it can?"

the speed of change

from research paper to existential crisis in 8 years

timeline

this happened embarrassingly fast

jun 2017 "attention is all you need" paper. 7 citations that month.
jun 2020 gpt-3. cool but expensive. api waitlist.
nov 2022 chatgpt launches. 1M users in 5 days. 100M in 2 months.
2024 claude 3.5, gemini, llama 3. the race begins.
2025 agents that actually work. computer use. mcp. 378M users globally.

where we are today

378M

people now using ai tools globally

+64 million new users added in 2025 alone. largest year-on-year jump ever.

87%

of large enterprises now using ai

$37B

genai investment 2025
(3x from 2024)

$3.70

ROI per $1 invested
(top performers: $10.30)

79%

of orgs experimenting
with ai agents

the fine print nobody reads

70-85%

of ai projects still fail

so yes, the hype is real. so is the chaos.

how this thing works

5 minutes of technical stuff. i promise it's useful.

the embarrassingly simple version

it's autocomplete on steroids

input: "the capital of france is"

→ "paris" (99.7% probability)

→ "not london lol" (0.2%)

→ "definitely berlin" (0.001%)

predict the next word. billions of times. somehow becomes intelligent. we're still figuring out why.

the architecture

transformer in 30 seconds

📝

tokenize

"hello" → [15496]

📊

embed

[0.1, -0.3, 0.8...]

👀

attention

what's relevant?

predict

next token

the magic is in "attention" — it's how "it" knows to refer to "the cat" and not "the mat".

the scale is absurd

1.7T

parameters in gpt-4 (rumored)

1.5B

gpt-2 (2019)

175B

gpt-3 (2020)

~86B

human neurons

if it's just predicting text, how is it so good at reasoning?

honest answer: we don't fully know. which is slightly terrifying.

the scary part

emergent behavior

abilities that appeared suddenly at scale. nobody programmed them.

chain-of-thought reasoning (emerged at ~100B params)
in-context learning (learns from examples in prompt)
theory of mind (understanding others' mental states)

we trained it to predict text. it learned to think. oops.

the not-so-fun part

it's confidently wrong. a lot.

may 2023: lawyer steven schwartz used chatgpt for legal research.

chatgpt hallucinated 6 court cases that didn't exist.

he submitted them to federal court. got sanctioned. became a meme.

77% of businesses worry about ai hallucinations. they should.

"we didn't program intelligence.
we accidentally grew it."

— everyone at openai, probably

the layoff reality

2025-2026 numbers. fresh off the press.

q4 2025 - jan 2026

245K+

tech jobs lost

28.5% of these layoffs directly attributed to ai restructuring

the names you know

who's cutting

amazon 30,000 jobs
intel 24,000 jobs (20% of workforce)
microsoft 15,000+ jobs
ups 48,000 jobs (automation)
tcs + accenture 23,000 jobs combined
40%

of microsoft's recent layoffs were developers

ai tools now do what junior programmers used to. that's not a prediction, that's a press release.

plot twist

55% of employers regret ai layoffs

klarna: replaced 700 customer service reps with ai

quality dropped. customers revolted.

they had to rehire humans.

forrester predicts half of ai-attributed layoffs will be quietly rehired — offshore, or at lower salaries.

who here has lost a client or project to someone using ai?

or knows someone who has? be honest.

but here's what's real

stuff actually working right now

klarna (before the drama)

ai handled 2/3 of customer chats

$40M/year saved

cursor

40% of their codebase is ai-generated

$400M ARR

harvey ai

contract review: days → hours

top law firms

midjourney

11 employees

$200M+ ARR

even the lawyers are doing it

23%

legal ai adoption
2024

54%

legal ai adoption
2026

doubled in 2 years. and lawyers are supposed to be the careful ones.

what's coming (per the people who get paid to predict this)

the forecasts

2026 55% of hiring managers expect layoffs. 44% say ai will drive them.
2026 gartner: 20% of orgs will eliminate 50%+ of middle management via ai
2027 89% of enterprises expect to have adopted genai
2030 40% of core tech skills will have changed

entry-level jobs have the highest ai exposure

genai adoption is already reducing entry-level hiring. the ladder is getting shorter.

imf, january 2026

"most countries and most businesses
are not prepared
for the pace of ai adoption."

not me saying it. the international monetary fund.

employee concerns about ai job loss

28%

2024

40%

2026

the anxiety is catching up with the reality.

now let's talk about india

this part might sting

the uncomfortable truth

india isn't leading ai. we're not even close.

no major foundation model from india
most "ai startups" are wrappers on openai api
compute infrastructure is expensive and limited
best researchers go to us/uk. brain drain is real.

global ai index 2024

where india stands

#1

usa

#2

china

#3

uk

#10

india

we're good at adoption and talent supply. we're bad at research, infra, and building foundation models.

the bigger problem

india's it industry is built on human labor

tcs, infosys, wipro → business model is billing hours.

5.4 million it employees in india.

what happens when ai can do 40% of that work?

nasscom says 1 million it jobs at risk by 2028. i think that's optimistic.

how many of you work in services or consulting?

you should be paying very close attention right now

india built its tech industry on labor arbitrage.

ai is the ultimate arbitrage. it doesn't need a visa.

small language models

the disruption nobody's talking about

why this matters

small models are getting scary good

phi-3 mini (microsoft)

3.8B params

runs on phone

llama 3.2 (meta)

1B-3B params

runs on laptop

gemma 2 (google)

2B-9B params

runs locally

qwen 2.5 (alibaba)

0.5B-72B params

multilingual beast

why slms change everything

ai without the api bill

🔒

privacy

data never leaves your device

💰

cost

no per-token pricing

speed

no network latency

🎯

fine-tuning

customize for your use case

every app will have ai built-in

not via api. locally. embedded. invisible.

2025 → 2026

<5%

apps with agent capabilities
2025

40%

apps with agent capabilities
2026

software is evolving from static to dynamic. adapt or get adapted.

tool use & agents

this is where it gets real

the game changer

ai that can do, not just say

user: "book a cab to the airport for tomorrow 6am"

ai thinks:
1. need to call book_cab function
2. destination: airport
3. time: tomorrow 6:00 AM

ai calls: book_cab({
  destination: "chennai airport",
  pickup_time: "2026-02-01T06:00:00",
  pickup_location: user.home_address
})

result: "booked! ola arriving at 5:45 AM"

function calling. ai decides what to do and does it.

the protocol

mcp: usb for ai

anthropic's open standard. one interface, any tool.

resources

files, databases, apis that ai can read

tools

functions ai can call

prompts

reusable templates

today: 1000+ mcp servers. slack, github, notion, gmail, figma, everything.

oct 2024

claude can use a computer

anthropic released "computer use" — ai that can:

  • → see your screen (screenshot)
  • → move mouse and click
  • → type on keyboard
  • → navigate apps like a human

it's clunky now. give it 18 months.

what's a task you do that requires looking at a screen and clicking?

ai can learn that. it's just a matter of time.

my predictions (i could be wrong, but i'd bet money on it)

timeline of disruption

2025 ai agents handle 30% of customer support globally ✓
2026 junior dev and designer roles shrink by 50%
2027 first fully ai-run startup hits $10M revenue
2028 india it services industry restructures massively
2030 50% of current white-collar tasks automated

so will ai take your job?

if your job is repeatable, documentable, and doesn't require physical presence...

yes. eventually. probably sooner than you think.

but here's the thing

i'm not here to scare you.
i'm here to show you the opportunity.

the opportunity

because it's not all doom and gloom

ai job postings 2024 → 2025

+117%

ai-related job postings jumped

demand is growing faster than supply. for now.

the money talk

56%

wage premium for workers with ai skills

same job. add ai skills. make 56% more. the math is simple.

fastest growing roles (yoy)

new jobs emerging

ai engineer +143%
prompt engineer +136%
ai content creator +135%
ml engineer £60k-95k

design has overtaken technical expertise

as the most in-demand skill in ai-related job postings

also in top 10: communication, collaboration, leadership. human skills aren't going away.

high risk roles

jobs that will shrink

data entry & processing

basic customer support

junior copywriting

basic bookkeeping

translation services

qa testing (manual)

basic graphic design

report generation

lower risk (for now)

what ai still can't do well

physical work

plumbing, construction, nursing

high-stakes decisions

surgery, legal judgment, crisis mgmt

relationship building

sales, leadership, therapy

novel problem solving

r&d, strategy, architecture

but "for now" is doing a lot of heavy lifting in that sentence.

jobs aren't just disappearing.
they're transforming.

the question is: are you transforming with them?

pwc 2025 global ai jobs barometer

66%

faster skill change in ai-exposed roles vs non-ai roles

skills in ai-adjacent jobs are evolving faster. you either keep up or get left behind.

ai is projected to add $15.7 trillion to the global economy by 2030

that money has to go somewhere. make sure some of it goes to you.

ok so what do i actually do

survival strategies that aren't bs

strategy #1

become the ai person in your team

every team needs someone who actually knows how to use these tools. be that person before someone else is.

67% of jobs now require ai skills. this isn't optional anymore.

strategy #2

move up the value chain

execution is getting commoditized.

strategy, judgment, relationships — these aren't. yet.

the higher you go, the longer you're safe. but the ladder is shrinking.

strategy #3

build with ai, not around it

integrate it into everything. don't treat it as a separate tool you use sometimes.

the people who win are the ones who can't imagine working without it.

strategy #4

ship shit

reading about ai doesn't help. watching youtube videos doesn't help. building with it does.

the gap between knowing and doing is where most people get stuck.

what i actually use daily

my ai stack

claude (anthropic) thinking, writing, code review
cursor coding (90% of my dev work)
v0 by vercel ui prototyping
perplexity research
dunsocial (my product) social media content

what's one thing you'll try with ai this week?

seriously. pick one thing. start tomorrow.

demo time

let me control this mac from my phone

dunmac

built today. hono + claude + sveltekit.

the window to adapt is closing

in 2 years, knowing ai will be like knowing excel. expected, not impressive.

start now or start catching up.

go build

resources

📚

anthropic prompt engineering

docs.anthropic.com

🔧

vercel ai sdk

sdk.vercel.ai

🔌

mcp servers

modelcontextprotocol.io

🏃

ollama (run models locally)

ollama.ai

thanks

questions? arguments? existential crisis?

sanju

sanju

sanju.sh — personal

thisux.com — my design studio

dunsocial.com — our saas product

unitedby.ai — chennai chapter

let's build the future together (before it replaces us)