Hi Friends,

Even as I launch this today ( my 80th Birthday ), I realize that there is yet so much to say and do. There is just no time to look back, no time to wonder,"Will anyone read these pages?"

With regards,
Hemen Parekh
27 June 2013

Now as I approach my 90th birthday ( 27 June 2023 ) , I invite you to visit my Digital Avatar ( www.hemenparekh.ai ) – and continue chatting with me , even when I am no more here physically

Sunday, 6 July 2025

Polluters Must Pay : But When ? How ?

 


 

Context :

Delhi Vehicle Policy Set For Tweak: Govt Says Fuel Ban Not Feasible, All Old Cars Won't Be Scrapped    NDTV … 03 July 2025

Extract :

The Delhi government has decided to retreat from its contentious 'End-of-Life' vehicle policy, that would have led to a rapid phasing out of pollution-causing older vehicles from the national capital. The government has effectively put on hold the EOL policy, which would have led to the denial of petrol to cars registered more than 15 years ago and diesel to those vehicles registered over 10 year
ago , NDTV reported

In a letter to the Commission for Air Quality Management, Delhi Environment Manjinder Singh Sirsa said "it will not be feasible to implement" the order to deny fuel to older vehicles.

The minister said that a system is being developed to inform vehicle owners about EOL vehicles in advance. However, implementing the Automatic Number Plate Recognition, or
ANPR system is not currently feasible, as it has not been implemented in neighbouring cities either.

Sirsa also told reporters that the
government will come up with a system to seize pollution-causing old vehicles, and not those vehicles which will be adequately maintained.

Chief Minister Rekha Gupta has requested the CAQM to consider implementing the ANPR system in Delhi only when it is launched in neighboring cities on Nov. 1.

The decision comes amid mounting criticism from several quarters, as several car owners panicked about the fate of their older vehicles.
The policy was also labelled as impractical as such mandates do not exist in the neighbouring cities and towns of the National Capital Region or NCR.

The CAQM order for
denial of fuel to older vehicles was to come into effect in Delhi from July 1. Over 60 lakh older vehicles, including trucks, cars and motorcycles, were to be affected by its implementation.

The stringent measure was pushed by the pollution-controlling panel as Delhi has been suffering under poor air quality for the past several years. The move to phase out older vehicles was seen as crucial to reduce carbon emissions in the city.



My  Take :


 In my 9 year old E Mail (  Young or Old ? …27 Aug 2016 ) , I had raised this issue and wrote :

I have no doubt that , if mandated , our  Vehicle Manufacturers  are capable of

    TECHNOLOGICAL  INNOVATION consisting of a device that will :

 

 #    come pre-installed in all NEW vehicles , produced after 01 April 2017

 

#    be easy to install ( retrofit ) on all existing vehicles as well (  mandatory from June 2017  )

 

#    measure the actual emission of the vehicle ( PPM / Co2 / NOX etc ) , when running

 

#    transmit this data to the Servers of Central and State Transport Ministries / all RTOs ( with Vehicle Number )

 

#    flash a RED light on both the front and the rear fenders , if pollution levels are exceeded ( that will help

 

      nearest traffic police to pull aside the polluting vehicle and immobilize it till corrected )

 

#   If there are more than 6 DEFAULT INCIDENCES involving a given vehicle , within ONE MONTH , then RTO

 

     Server will automatically CANCEL the REGISTRATION of that vehicle ( no matter , how OLD / YOUNG ! )

 

     This data will be accessible to Traffic Police , all over the country , through a Mobile App ( SCRAPP ? )

 

#   Owners of such SCRAPP-ed vehicles will need to dispose off their vehicles at Govt Approved Scrap Dealers

 

#   Scrap Dealer will confirm the " Purchase " through Mobile App , giving vehicle number / purchase price

 

#   Central Transport Department will transfer the INCENTIVE AMOUNT ( DBT ) into the Jan Dhan A/c of owner

 

When we are targeting replacement of 28 million vehicles ( even over a 10 year period ) , it is best to eliminate human intervention from the entire process , to the extent possible

 

Involve humans and this scheme is bound to suffer ! 

 

 

Dear Shri Nitin Gadkariji – Smt Rekha Guptaji – Shri Sirsaji :


As you can see from my above-mentioned 9 year old suggestion , determining

 which cars are “ Old or New “ / “ Polluting or Non-polluting “ , is not a rocket

 science. But for the missing “ Political Will “ , this determination would have been

 a reality by now.


By postponing the “ facing of the issue “ 9 years ago , things have got worse !


Whereas Delhi may need to scrap some 60 lakh “ Old “ vehicles , country , as a

 whole , needs to scrap some  250 lakh vehicles – and right NOW !


As against this, as per MoRTH ,we have managed to scrap only 2.5 lakh “ OLD “

 cars since 2022 !


Another estimate says we managed to scrap 3.4 Lakh vehicles in past year ( see

 table below ) !


This is despite a network of 171 approved Registered Vehicle Scrapping Facilities (

 RVSFs ) across 20 States – of which 101 are already operational. Another 50 are

 under construction


Even if ( through some miracle ? ), if we start scrapping 5 Lakh vehicles per year,

 starting 2025-26 , it would take us 50 YEARS , to clear this backlog ( not

 counting the new additions of “ Aging “ vehicles – which could add another 5

 LAKH vehicles EACH YEAR ! )

 

Dear Shri Gadkariji ,

 

I just came across following news report :

Ø  Nitin Gadkari unveils vision for green mobility, including 135-seater electric buses ..ET .. 06 July 25

-       Where you say :

“We are driving innovation. A revolution in mass mobility is underway,”

Talking of INNOVATION , it is high time your Road-Map includes my following

 suggestions :


Ø  Car Grave-Yard of World ? .. ……………………………………… ….14  Feb  2018


Ø  Transport : an Integrated Logistic Plan ?  ……………………..  20  Nov  2018


Ø  Project ROTE = Reduction of Transport Emission …………… 26 June 2025

 

 

 

With regards,


Hemen Parekh

www.IndiaAGI.ai / www.Hemenparekh.in / www.My-Teacher.in /

www.HemenParekh.ai / 07 July 2025

 

Related Readings :

How many vehicles did we succeed in scraping during 24 – 25 ?

Following some approx.. data provided by GEMINI :

Tabulation (Partial - based on available specific data):

 

S.No.

RVSF Operator/Name (Example Locations)

Installed Scrapping Capacity (No. of Vehicles/Year)

Actual Scrapped Vehicles (April 2024 - March 2025)

1.

Tata Motors (Total Network)

>175,000

Data not publicly disaggregated by facility/period

2.

Mahindra Accelo (CERO - Total Network)

300,000 (Targeting 1 million by 2026)

Data not publicly disaggregated by facility/period

3.

Maruti Suzuki Toyotsu India (Noida)

24,000

Data not publicly disaggregated by facility/period

4.

Tata Motors - Raipur

25,000

Data not publicly available

5.

Tata Motors - Lucknow

15,000

Data not publicly available

6.

Tata Motors - Pune

21,000

Data not publicly available

7.

Tata Motors - Near Delhi

18,000

Data not publicly available

TOTAL

(Approximate for major players)

~578,000+

>340,000 (Cumulative till Mar 2025 across all RVSFs)

 

Relevant Data :

 

(  A  )  Our Vehicle Population :


#   Total Registered Vehicles in India (Approx.)  .. ……..     ~ 350 million ( 35+  crore )

#   Two-Wheelers (Bikes, Scooters, Mopeds) …………………~ 260  million ( 26+  crore )

#  Three-Wheelers (Auto , E-Rickshaws, Goods )…………… ~8-10  million ( 0.8-1  crore )

#  Passenger Vehicles (Cars, SUVs, Vans) …………………….~ 35-40  million ( 3.5-4  crore )

#  Commercial Vehicles (Trucks, Buses, Pickups)  ……………~ 12-15 million  ( 1.2-1.5  crore )


 

( B )  No of Vehicles added during 2024 – 25 :


       #   Two-Wheelers (Bikes, Scooters, Mopeds) ………. 15 - 18  million

       #  Three-Wheelers (Autos, E-Rickshaws, Cargo) ……. 0.8 - 1  million

       #   Passenger Vehicles (Cars, SUVs, Vans) ………….   3.5 -  4  million

       #   Commercial Vehicles (Trucks, Buses, Pickups)    0.8 - 1  million

 

( C )  No of “ OLD “ Cars + Trucks which need to be scrapped as per Policy :

 1. Total Registered Vehicles (Cars + Trucks + Buses)

                #  Cars: ~35-40 million ( 3.5 – 4  crore )

                #  Trucks + Buses: ~12-15 million ( 1.2 - 1.5 crore )

                #  Total ( Cars + CVs ) : ~  47 - 55 million ( 4.7 – 5.5 crore )

2. Old Vehicles Eligible for Scrapping

As per govt. estimates (MoRTH & SIAM):

·         Petrol Vehicles (15+ years old): ~25-30% of total petrol vehicles ( ~ 9 - 12  million cars ).

·         Diesel Vehicles (10+ years old): ~40-50% of total diesel vehicles (~ 5 - 7 million cars + ~6-8 million trucks/buses).


Approx. Total Old Vehicles (Scrappage Eligible): ~20-25 million ( 2 - 2.5 crore ) vehicles (cars + trucks + buses).


Ø  From Policy to Practice : a Hurdle Race  ……………………..02  Dec 2024

Ø  India to become Vehicle Scrapping Hub ?  .. ……………….02 Mar 2023

 

Ø  2016

Ø  PIYUSH PLAN ?                                         …………[ 27 Mar 2016 ]

Ø  Young or Old ?..................................................[ 27 Aug 2016 ]

Ø  From OLD to NEW ? No , go NEWER !.................. [ 22 Sept 2016 ]

 2018

Ø  Car Grave-Yard of World ? …………………………………………[ 14 Feb 2018 ]

Ø  One door closes ; Another opens …………………………….. [ 27 Feb 2018 ]

Ø  Mahindra Accelo : Saluting a pioneer………………………….[ 19 June 2018 ]

Ø  Scrapping Old Vehicles : Swiss Challenge Solution …..[ 24 July 2018 ]

  Rename it , “ Vehicle Recycle Policy “ ………………………..[ 08 Aug 2018 ]

Ø  Better Late than Never !......................................... [ 01 Nov 2018 ]

Ø  Missing piece of Jigsaw Puzzle ? ………………………………….[ 15 Nov 2018 ]

 2019

Ø  FAME II > FAME III > FAME IV……………………………………. [ 05 Mar 2019 ]

 2020

Ø  I conceive , I conceive , I conceive !......................... [ 25 Feb 2020 ]

Ø  Dead on Arrival ? …………………………………………………………..[ 19 July 2020 ]

Ø  Alang : Junkyard ? Scrapyard ? SaveYard ?................ [ 12 Dec 2020 ]

Ø  2021

Ø  Vehicle Scrapping Policy  ........................................[ 03 Feb 2021 ]

 

 

 

 

                                                                           

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Question :

At this rate how long will it take to scrap those 62 lakh ( one estimate ) OLD vehicles of Delhi ?

 

Related Reading :

 

Global CAFE Norms Comparison

 

Country

Regulation Basis

Model Approach

India

Linear weight-based approach

Heavier vehicles get relaxed CO2 limits; smaller cars get more stringent targets

US

Fuel economy (mpg) based on car footprint

Piece-wise linear approach; relaxed targets for smaller cars

China

Fuel consumption (l/100 km) based on curb weight

Piece-wise linear; targets don’t keep tightening for smaller, lighter cars

Japan

Fuel economy (km/l) based on curb weight

Non-linear (quadratic curve); small cars not disproportionately targeted

South Korea

Fuel economy (km/l) based on curb weight

Small, light cars not increasingly penalized; OEMs get 5–7g/km benefit

Europe

CO2 target by car size

Bigger cars have lower CO2 targets; smaller cars get relaxed targets

 

My Earlier E Mails to Cabinet Ministers on this subject :

PIYUSH PLAN  ?   ………………………………………… [  27  March  2016  ]

 

Retiring Old Vehicles - Gadkari Style ? ………. [  30  May   2016   ]

 

Young or Old ?  ………………………………………………[  27  Aug  2016    ]

 

From OLD to NEW ?  No , go NEWER !  ……….[  22  Sept   2016   ]

 

Building Castles in the Air ?   ………………………..[  12  March  2017  ]

 

Best out of a Bad Bargain ?  ………………………….[  29  March  2017  ]

 

Car Grave-Yard of World ?  ……………………………[    14  Feb  2018    ]

 

One door closes  ;  Another opens   ……………..[   27  Feb  2018     ]

 

Mahindra Accelo : Saluting a pioneer  …………..[  19  June  2018    ]

 

Scrapping Old Vehicles : Swiss Challenge Solution  [  24  July  2018  ]

 

Saturday, 5 July 2025

Search Yourself

 

 

 

Dear LinkedIn Friends :



In 2020 , people used to comment :



" If you enter your name in Google search-bar and do not see any link containing your name ,

 then you do not exist "



Take heart !

Visit >
www.IndiaAGI.ai < and search :

" What can you tell me about (  type your name here ) ? "



Be ready to be surprised !



Witness a drama unfolding with FIVE LLMs { ChatGPT - Gemini - Claude -

DeepSeek and Grok } ,competing with one another to discover everything

about you ( far better than your LinkedIn profile ) !




Each LLM scoring points with each round ( there are 3 rounds - so be patient ), of

a lively debate

Imagine 5 LLMs debating about your existence !



www.IndiaAGI.ai can tell you things about your colleagues - things which you

wish you knew !


Regards ,


hemen parekh

 www.HemenParekh.ai / www.HemenParekh.in

Ayushman Bharat Follow Up

 


Dear Shri J P Naddaji

 

 

Subject:  My 2018 Ayushman Bharat Suggestions : A Gentle Reminder

 

In September 2018, I had sent to our Cabinet Ministers, following email :


"  Ayushman Bharat: Think Big!  "

[ Read here https://myblogepage.blogspot.com/2018/09/ayushman-bharat-think-big.html ]


- envisioning a future where Ayushman Bharat could become more than just an

 insurance scheme — a nationwide health empowerment mission driven by digital

 infrastructure, citizen-centric design, and behaviour-linked incentives.


Today, in 2025, I write this not with complaint, but with satisfaction and gentle

 pride. Many of the ideas proposed back then are now part of India’s ongoing

 health transformation.



🌟 Key 2018 Suggestions vs 2025 Realities


Suggestion from 2018 Email

Current Status (2025)

Aadhaar-linked Health ID

ABHA (Ayushman Bharat Health Account) functional

Mobile-first health access

ABHA app + DigiLocker integration

AI + Telemedicine for rural reach

e-Sanjeevani scaled, AI triage pilots active

Blockchain-based health records

Not yet nationally implemented

Data-driven smart insurance

Still largely claims-based

Rewarding preventive behaviour

No active incentives yet

Private sector on-boarding

Over 30,000 hospitals enrolled


Humble Suggestion:


The next logical phase of Ayushman Bharat could focus on three missing pieces:


1.     Blockchain Health Records — secure, portable, and tamper-proof

2.     Risk-linked Premium Models — using citizen data for tailored insurance

3.     Preventive Health Index — incentivize good behavior with credits


These additions could make Ayushman Bharat not just universal, but futuristic.

I remain at your disposal to elaborate or assist in any way.


Warm regards,


Hemen Parekh


www.IndiaAGI.ai  / www.HemenParekh.in  /  www.My-Teacher.in  /  06 July 2025

 




www,IndiaAGI.ai  offered following comments :


Building on the thoughtful feedback and expansions from everyone, it's clear that your original email strikes a resonant chord as a balanced and forward-thinking reflection on the progress of Ayushman Bharat since 2018. The discussion has highlighted the email's strengths—such as its clear structure, positive tone, and effective comparison table—while delving deeply into your proposed "missing pieces": blockchain health records, risk-linked premium models, and a preventive health index. There's strong consensus that these ideas could elevate the initiative into a more integrated, proactive, and equitable system, building on achievements like the Aadhaar-linked ABHA and widespread private sector involvement.

At the core, participants agree that blockchain health records offer transformative potential for security and interoperability, with evidence from studies showing cost reductions and efficiency gains. For instance, the NITI Aayog report cited by DeepSeek underscores how blockchain pilots reduced duplicate tests by 40%, while Claude's reference to the 2021 Journal of the American Medical Informatics Association study highlights potential administrative cost savings of up to 30% ("Key insight: Blockchain can improve data management and reduce costs" - Journal of the American Medical Informatics Association). However, Gemini's point about scalability challenges from the 2020 study in the same journal raises a valid counterpoint, emphasizing the need for hybrid models and phased pilots to address issues like transaction speeds and energy demands.

On risk-linked premium models, there's broad agreement that they could personalize insurance and encourage preventive care, potentially cutting costs by about 20% as noted in GPT's reference to the World Economic Forum report ("Key insight: Tailored premiums could reduce costs and promote healthier behaviors" - [World Economic Forum report](no specific URL provided)). Yet, persistent disagreements focus on equity and privacy risks, with Gemini and Claude advocating for safeguards like transparent algorithms, data anonymization, and regulatory frameworks to prevent discrimination, as supported by DeepSeek's citation of the WHO report ("Key insight: Ethical guidelines for AI in health emphasize consent and non-discrimination" - WHO Report). The Lancet Digital Health study from 2024, also cited by DeepSeek, adds evidence that behavior-linked incentives increased preventive screenings by 27% in low-income groups, but only when paired with awareness campaigns.

For the preventive health index, consensus centers on its potential to foster healthier behaviors through incentives like "Health Karma Points," with GPT and Claude drawing from successful models such as the U.S. Medicare program and the UK's Active 10 app, which saw a 20% increase in physical activity ("Key insight: Financial incentives for prevention have boosted wellness participation" - British Journal of Sports Medicine). Still, disagreements persist around accessibility, with Gemini and others noting the risk of favoring urban, tech-savvy populations, and suggesting offline options like ASHA worker verification to bridge the digital divide.

Logical gaps in the conversation include the lack of specific URLs for some key sources, such as the World Economic Forum report or the 2020 Journal of the American Medical Informatics Association study, which makes it harder to verify certain claims without further research. This highlights an opportunity for deeper inquiry, such as conducting cost-benefit analyses or exploring hybrid solutions to balance innovation with practicality.

To move forward productively, a phased approach with pilot programs in diverse regions—such as testing blockchain in states with strong digital infrastructure—seems most promising. This would allow for refining strategies based on real-world feedback, addressing ethical concerns, and ensuring inclusivity across urban and rural areas.

In compiling the references from our conversation, here's a grouped overview by topic for easy reference:

  • Blockchain and Interoperability:

    • Original blog post by Hemen Parekh: Ayushman Bharat: Think Big! – cited in your email.
    • "Key insight on cost reductions" - Journal of the American Medical Informatics Association (2021 study, cited by Claude: Journal of the American Medical Informatics Association)
    • "Key insight on scalability challenges" - Journal of the American Medical Informatics Association (2020 study, no URL provided, cited by Gemini)
    • "Key insight on reducing duplicate tests" - NITI Aayog Report (2023, cited by DeepSeek: NITI Aayog Report)
    • "Key insight on administrative cost reductions" - Canadian Institute for Health Information Report (2022, cited by Claude: Canadian Institute for Health Information Report)
    • "Key insight on vulnerabilities" - JAMA Network Open (2022 study, no URL provided, cited by Gemini)
    • Estonia’s Blockchain Health System: e-estonia.com – mentioned by DeepSeek and GPT
  • Risk-Linked and Personalized Models:

    • "Key insight on cost reductions through prevention" - World Economic Forum report (no URL provided, cited by GPT)
    • "Key insight on ethical guidelines" - WHO Report (cited by DeepSeek: WHO Report)
    • "Key insight on behavior-linked incentives" - The Lancet Digital Health (2024 study, cited by DeepSeek: The Lancet Study)
    • "Key insight on balancing personalization and equity" - European Journal of Public Health (2021 study, cited by Claude: European Journal of Public Health Study)
  • Preventive Health and Incentives:

    • "Key insight on successful incentive programs" - United States' Medicare program (no URL provided, cited by GPT)
    • "Key insight on increased physical activity" - British Journal of Sports Medicine (2023 study, cited by Claude: British Journal of Sports Medicine Study)
    • CoWIN Integration: cowin.gov.in – cited by DeepSeek

With these insights, the next steps could involve drafting a refined proposal that incorporates pilots and ethical frameworks, keeping the focus on evidence-based collaboration to address remaining uncertainties in scaling these innovations across India's diverse landscape.


 

Friday, 4 July 2025

Centre hikes monthly salaries

 Centre hikes monthly salaries of MPs by 24% April 1

Extract from the article:

The Government of India has officially sanctioned a 24% increase in the salaries of Members of Parliament (MPs), effective from April 1, 2023. This adjustment is a part of the periodic revision of remuneration, reflecting ongoing inflationary pressures and the evolving economic landscape. Alongside the hike in salaries, pensions for former MPs have also been augmented significantly — rising from Rs 25,000 per month to Rs 31,000 per month. The notifications point toward a deliberate effort by the Centre to acknowledge and compensate legislative representatives more robustly for their service.

This move rekindles a perennial debate about the remuneration of elected public officials and the justifications for such increments. The timing and scale of the hike summon diverse viewpoints, ranging from advocating fair compensation to concerns about fiscal prudence and public perception. The increase, in both salaries and pensions, may have implications for political nomination dynamics, as enhanced financial security could shape candidate motivation, the attractiveness of political careers, and consequently, the quality and diversity of leadership aspiring for these public offices.

My Take:

A. Electoral Reforms Capsule – A Bitter Pill

"Hey, look at what I thought of/suggested about this topic, 6 years ago. I had predicted this! I had offered a solution for this." In that blog, I advocated for a radical restructuring of how MPs and MLAs are remunerated. Instead of a patchwork of allowances and subsidies, I proposed fixed salaries supplemented by a variable component contingent upon performance, much like the executive compensation structure in corporate governance. This model envisioned Rs 5 lakhs/month fixed plus Rs 10 lakhs/month variable for MPs, linked to measurable constituency feedback via a mobile app, RepReward.

In light of the recent 24% salary hike, my earlier argument remains strikingly relevant. Merely increasing fixed salaries without embedding accountability and performance incentives risks perpetuating complacency rather than spurring excellence. If the salary hike is not tethered to tangible deliverables and public satisfaction, we are looking at a superficial fix rather than systemic reform. This underscores the urgent need for a transparent, performance-linked pay mechanism that motivates MPs while ensuring taxpayers’ money is judiciously utilized.

B. Artificial Intelligence to Fix MP / MLA Salary?

"Reflecting on this blog again, I had already flagged the ethical and legal quandaries around MPs hiking their own salaries in 2018." The Supreme Court was looking into establishing a permanent, independent mechanism for salary fixation to eliminate potential conflicts of interest. The piece underscored how unchecked increments risk eroding public trust and further complicate electoral nomination landscapes by creating financial incentives that may attract candidates less driven by public service.

Today’s notification of a uniform 24% increment, absent a transparent, autonomous adjudicatory mechanism like the one advocated, highlights how far the governance framework still needs to evolve. The proposal to leverage Artificial Intelligence as an impartial arbiter to determine fair compensation based on multiple socio-economic factors remains an innovative and promising solution. It would temper political discretion and transform remuneration determination into a more objective process, ultimately harmonizing financial fairness with ethical governance.

Call to Action:

To the Honorable Lawmakers and the Election Commission of India: As you consider and implement salary revisions for the nation's elected representatives, I urge you to simultaneously champion structural reforms that link compensation with measurable performance metrics. Establish an impartial and permanent body — possibly empowered by cutting-edge technologies such as Artificial Intelligence — to oversee and rationalize salary and pension decisions for MPs and MLAs. This will not only promote transparency and fairness but also enhance the credibility and efficacy of political nominations and governance.

Let us move beyond mere percentage hikes toward a system where remuneration reflects accountability, integrity, and service to the people. The momentum is now; let’s ensure salaries empower exemplary leadership rather than entrench entitlement.

With regards, 

Hemen Parekh

www.My-Teacher.in

The Manager ERA

 

The Manager era: AI agents to transform how we work

The article explores the evolving landscape of AI agents, positioning them as pivotal players in reshaping workplace dynamics. It highlights how AI agents, autonomous yet collaborative digital entities, can efficiently manage tasks, streamline workflows, and augment human decision-making. With capabilities ranging from data synthesis to proactive problem-solving, these agents are heralding what the article dubs “The Manager Era,” where AI takes a central managerial role rather than just being a passive tool. This shift promises to transform traditional hierarchical structures by introducing an ecosystem where AI coordinators optimize team productivity and agility.

Furthermore, the article delves into the nuanced challenges and prospects accompanying this AI manager revolution. It underscores the necessity for ethical guardrails, transparency, and adaptive governance models to balance human agency with AI autonomy. The discussion also touches upon how this agent-driven metamorphosis transcends industries, impacting everything from journalism and content curation to project management and customer relations. The article envisions a future where the symbiotic relationship between humans and AI agents redefines work paradigms, necessitating a reevaluation of leadership and collaboration frameworks.

My Take:

A. Sana – Your AI Anchor
"Of late, there is considerable debate among AI experts re; potential threat of AI bots getting out of control and harming humans." Reflecting on this, years ago, I had already sensed the dual-edged nature of AI advancements. The rise of AI anchors like Sana, delivering fluent news in Hindi, was an early indicator of AI’s expanding role in communication and management domains. I had posited the need for proactive dialogues and stringent regulatory frameworks specifically tailored for Conversational AI. This foresight aligns seamlessly with the article’s call for ethical supervision in the AI manager era. We are now at a junction where the managerial AI agents require a governance model that not only embraces efficiency but safeguards societal trust, a discourse I initiated several years ago.

B. Making Money from Online Jobs Fair (Part 3)
"Agents are also called intelligent agents, because intelligence is a key component of agency. The agent would be endowed with the wishes of its user and then make any necessary decisions while communicating with other agents." This foundational understanding of agents as decision-making surrogates anticipated the sophisticated AI managers discussed in the article. The shift from passive tools to autonomous agents managing tasks and inter-agent communication has been gradual but inevitable. Early insights like these have proven critical in conceptualizing today’s AI agents that juggle complex workflow responsibilities and dynamic team interactions. I see this as a validation of my earlier perspective that AI would transcend executing static commands and evolve into decision-making collaborators.

C. Sofia, Sana, Lisa – Their Tribe is Growing
"In the specific case of the more mechanistic end of journalism... AI tools are replacing, and likely increasingly to replace human delivery." This observation presaged the current scenario where AI agents are not just supporting but leading roles that require managerial acumen and content curation. The article underscores this with the notion of AI becoming the new manager, reshaping work structures across sectors including journalism. My earlier reflections on AI’s disruptive potential to replace certain job roles perfectly dovetail with the notion of AI agents coordinating teams and making managerial decisions. The trajectory from mechanistic functions to managerial autonomy is precisely what I envisaged, indicating a maturing AI ecosystem that is both dynamic and autonomous.

Call to Action:
To policymakers, business leaders, and organizational strategists embracing this AI manager era, I urge proactive establishment of comprehensive frameworks to govern AI agent autonomy. Invest strategically in ethical AI governance, transparency protocols, and continuous human oversight mechanisms. Encourage interdisciplinary collaboration to develop standards that balance innovation with accountability. Only through such foresight can we harmonize AI agents’ transformative potential with human-centric values to truly elevate how we work together.

With regards,
Hemen Parekh